Istraživanje koje podupire LyteFast
Recenzirane reference koje podržavaju predviđanje tjelesne mase, energetsku ravnotežu, ugljični otisak prehrana, detekciju glutena, baze podataka o prehrani i analizu hrane pomoću AI.
Linkovi se otvaraju na vašem jeziku kada su dostupni • Prioritiziranje istraživanja Harvard, Stanford i MIT
Prognoza težine
Prognoza tjelesne mase koristi prediktivne modele temeljene na načelima energetske ravnoteže kako bi projicirala buduće trendove tjelesne mase na temelju nedavnih podataka. Istraživanja pokazuju da samopraćenje tjelesne mase i unosa kalorija, u kombinaciji s izravnavanjem trendova kako bi se smanjila svakodnevna buka, pomaže ljudima da razumiju svoju putanju i pravovremeno izvrše prilagodbe. Prediktivno modeliranje kratkog horizonta pretvara vašu nedavnu putanju u provedive prognoze koje podržavaju pridržavanje i dugoročne navike.
Key Studies
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Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.
Obesity (Silver Spring, Md.) • 2025
Pokazuje važnost točnog mjerenja tjelesne kompozicije u praćenju promjena tjelesne mase, podržavajući potrebu za izravnavanjem trendova u modelima predviđanja tjelesne mase.
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Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
Pokazuje kako samonadzor i mehanizmi povratne informacije podržavaju dugotrajno održavanje tjelesne težine, potvrđujući pristup pružanja jasnih prognoza i vizualizacije trendova.
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
Journal of medical systems • 2023
Proučava pristupe strojnog učenja za predikciju tjelesne mase, podržavajući korištenje prediktivnog modeliranja u aplikacijama za upravljanje tjelesnom težinom.
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Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events.
EBioMedicine • 2023
Pokazuje kako strojno učenje može poboljšati točnost predviđanja, relevantno za modele predikcije trendova tjelesne mase.
Kalorije temeljene na proračunu
Unaprijed postavljeni proračuni kalorija s jasnim povratnim informacijama "unutar proračuna" ili "preko proračuna" pomažu korisnicima da donesu informirane odluke o hrani u stvarnom vremenu. Istraživanja pokazuju da ovaj pristup podršci u donošenju odluka poboljšava pridržavanje ciljeva kalorija smanjenjem kognitivnog opterećenja i pružanjem trenutnih, djelotvornih povratnih informacija. Jednostavni okvir "potrošnja naspram proračuna" usklađen je s načelima bihevioralne ekonomije koja pokazuju da ljudi donose bolje odluke kada imaju jasne ograničenja i trenutne povratne informacije o svojim izborima.
Key Studies
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Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
Pokazuje da strukturirano postavljanje ciljeva i mehanizmi povratne informacije poboljšavaju pridržavanje prehrambenim ciljevima, podržavajući pristup kalorijama temeljen na proračunu.
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Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial.
Nature medicine • 2023
Pokazuje da strukturirani pristupi upravljanju kalorijama poboljšavaju pridržavanje i rezultate u usporedbi sa standardnom njegom.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Uspoređuje različite strategije ograničenja kalorija, pokazujući da jasni kalorični budžeti podržavaju pridržavanje bez obzira na pristup vremenskom rasporedu.
Kalorijski deficit i energetska ravnoteža
Energetska ravnoteža—odnos između unesenih i potrošenih kalorija—glavni je faktor promjene tjelesne mase. Istraživanja dosljedno pokazuju da stvaranje kalorijskog deficita dovodi do gubitka težine, dok višak kalorija dovodi do povećanja težine. Vizualizacija ovog deficita u stvarnom vremenu pomaže korisnicima da razumiju kako njihovi svakodnevni izbori utječu na njihov napredak prema ciljevima. Aplikacija prevodi energetsku ravnotežu u jednostavan jezik, prikazujući razliku između trenutnog unosa i cilja, te koje promjene mogu zatvoriti tu razliku.
Key Studies
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Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.
Obesity (Silver Spring, Md.) • 2025
Potvrđuje da je energetska ravnoteža temeljni mehanizam koji pokreće promjenu tjelesne mase, potvrđujući pristup kalorijskom deficitu.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Pokazuje da kalorijski deficit, bez obzira na vrijeme, potiče gubitak težine, podržavajući princip energetske ravnoteže.
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Effectiveness of Early Time-Restricted Eating for Weight Loss, Fat Loss, and Cardiometabolic Health in Adults With Obesity: A Randomized Clinical Trial.
JAMA internal medicine • 2022
Pokazuje da kalorijski deficit postignut vremenski ograničenim jedenjem dovodi do mjerljivog gubitka težine, potvrđujući principe energetske ravnoteže.
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Intermittent Fasting in Weight Loss and Cardiometabolic Risk Reduction: A Randomized Controlled Trial.
The journal of nursing research : JNR • 2022
Pokazuje da je kalorijski deficit ključni mehanizam za gubitak težine, bez obzira na vrijeme prehrambenih obrazaca.
AI Food Scanner
Umjetna inteligencija i strojno učenje omogućuju automatsko prepoznavanje hrane iz fotografija, tekstualnih opisa i skeniranja barkoda. Istraživanja pokazuju da procjena prehrane uz pomoć AI-a može pružiti razumnu točnost za uobičajene namirnice, pomažući korisnicima da brže i dosljednije bilježe obroke. Kombinacija analize fotografija, skeniranja barkoda i parsiranja teksta stvara više puteva za bilježenje hrane, smanjujući prepreke za samonadzor i poboljšavajući pridržavanje praćenju unosa kalorija.
Key Studies
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DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models.
Communications medicine • 2025
Pokazuje kako AI i veliki jezični modeli mogu točno procijeniti prehranu iz slika hrane i opisa.
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Extract Nutritional Information from Bilingual Food Labels Using Large Language Models.
Journal of imaging • 2025
Pokazuje da AI može izvući informacije o prehrani s oznaka hrane, podržavajući skeniranje barkodova i unos hrane temeljen na tekstu.
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Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.
Current developments in nutrition • 2024
Validira sustave prepoznavanja hrane temeljene na umjetnoj inteligenciji za procjenu prehrane, pokazujući točnost u stvarnim scenarijima bilježenja hrane.
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Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.
The American journal of clinical nutrition • 2023
Uspoređuje kategorizaciju hrane temeljenu na AI-u s tradicionalnim metodama, pokazujući da pristupi strojnog učenja mogu učinkovito kategorizirati hranu i predvidjeti kvalitetu prehrane.
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Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study.
JMIR formative research • 2025
Pokazuje učinkovitost skeniranja bar kodova za točno prikupljanje podataka, podržavajući vođenje evidencije hrane temeljene na bar kodovima.
Karbon Footprint
Proizvodnja hrane čini značajan dio globalnih emisija stakleničkih plinova. Istraživanja pokazuju da različite namirnice imaju vrlo različite karbonske otiske, a prehrambene odluke mogu značajno utjecati na ekološku održivost. Praćenje karbonskog otiska obroka pomaže korisnicima da razumiju ekološki utjecaj svojih prehrambenih izbora i donesu održivije odluke. Studije pokazuju da čak i male promjene u prehrani mogu značajno smanjiti emisije ugljika.
Key Studies
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Sustainable diets reduce diet-related greenhouse gas emissions and improve diet quality: results from the MyPlanetDiet randomized controlled trial.
The American journal of clinical nutrition • 2025
Pokazuje da održive prehrambene obrasce mogu smanjiti emisije stakleničkih plinova uz poboljšanje kvalitete prehrane, potvrđujući praćenje ugljičnog otiska.
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Are healthier diets more sustainable? A cross-sectional assessment of 8 diet quality indexes and 7 sustainability metrics.
The American journal of clinical nutrition • 2025
Pokazuje odnos između kvalitete prehrane i ekološke održivosti, podržavajući svijest o ugljičnom otisku u izboru hrane.
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Diet quality and environmental impact of university students' food choices at a South African university.
Frontiers in nutrition • 2025
Pokazuje da izbor hrane ima mjerljive utjecaje na okoliš, potvrđujući važnost praćenja ugljičnog otiska.
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Single-item substitutions can substantially reduce the carbon and water scarcity footprints of US diets.
The American journal of clinical nutrition • 2022
Pokazuje da male promjene u prehrani mogu značajno smanjiti emisiju ugljika, podržavajući vrijednost praćenja ugljika u izboru hrane.
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Cooking at Home, Fast Food, Meat Consumption, and Dietary Carbon Footprint among US Adults.
International journal of environmental research and public health • 2022
Pokazuje kako različiti izbori hrane i metode pripreme utječu na emisiju ugljika, potvrđujući praćenje emisije ugljika na razini obroka.
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Greenhouse gas emissions, cost, and diet quality of specific diet patterns in the United States.
The American journal of clinical nutrition • 2023
Uspoređuje karbonske otiske različitih obrazaca prehrane, pokazujući značajne varijacije i važnost praćenja.
Otkrivanje glutena
Za osobe s celijakijom ili osjetljivošću na gluten, izbjegavanje glutena je ključno za zdravlje. Istraživanja pokazuju da čak i male količine glutena mogu uzrokovati simptome i dugotrajnu štetu kod osjetljivih pojedinaca. Skeneri barkodova i analiza hrane mogu pomoći u identificiranju proizvoda koji sadrže gluten, pružajući brzu procjenu koja podržava pridržavanje prehrane bez glutena. Iako aplikacija pruža indikatore na temelju informacija o proizvodu, važno je napomenuti da je to procjenitelj, a ne zamjena za pažljivo čitanje oznaka ili medicinske savjete.
Key Studies
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Diagnostic Accuracy of IgA Anti-Transglutaminase Assessed by Chemiluminescence: A Systematic Review and Meta-Analysis.
Nutrients • 2024
Pregledava dijagnostičke metode za celijakiju, ističući važnost točne detekcije glutena za osobe s celijakijom.
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Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].
Food chemistry • 2024
Proučava tehnološke pristupe otkrivanju glutena u hrani, podržavajući korištenje analize hrane za probir glutena.
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Evaluation of the Usefulness of an Automatable Immunoassay for Monitoring Celiac Disease by Quantification of Immunogenic Gluten Peptides in Urine.
Nutrients • 2023
Pokazuje važnost praćenja izloženosti glutenu za osobe s celijakijom, potvrđujući potrebu za alatima za otkrivanje glutena.
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Rapid Anti-tTG-IgA Screening Test for Early Diagnosis of Celiac Disease in Pediatric Populations.
Nutrients • 2023
Pokazuje važnost ranog otkrivanja i praćenja izloženosti glutenu u upravljanju celijakijom.
Pogled na post i prediktivno modeliranje
Intermittentno post i prehrana s vremenskim ograničenjem su dijetetski pristupi koji ograničavaju unos hrane na specifična vremenska razdoblja. Istraživanja pokazuju da su koristi ovih pristupa u velikoj mjeri posredovane ukupnim unosom kalorija i dosljednošću, a ne samo vremenom. Prediktivno modeliranje pomaže korisnicima da vide kako njihovi obrasci posta utječu na trendove tjelesne težine i prognoze. Aplikacija povezuje prozore posta s kalorijskim budžetima, trendovima i prognozama, čineći odnos između posta i ishoda jasnim i djelotvornim.
Key Studies
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Intermittent fasting strategies and their effects on body weight and other cardiometabolic risk factors: systematic review and network meta-analysis of randomised clinical trials.
BMJ (Clinical research ed.) • 2025
Sveobuhvatna recenzija koja pokazuje da su strategije povremenog posta učinkovite za mršavljenje, s koristima posredovanim smanjenjem unosa kalorija.
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Time-restricted eating: Watching the clock to treat obesity.
Cell metabolism • 2024
Pregled istraživanja o vremenski ograničenom jedenju pokazuje da su koristi prvenstveno rezultat smanjenja unosa kalorija, a ne samo vremena.
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Health Benefits of Intermittent Fasting.
Microbial physiology • 2024
Sažima zdravstvene prednosti povremenog posta, podržavajući integraciju praćenja posta s upravljanjem kalorijama i težinom.
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A meta-analysis comparing the effectiveness of alternate day fasting, the 5:2 diet, and time-restricted eating for weight loss.
Obesity (Silver Spring, Md.) • 2023
Uspoređuje različite pristupe postu, pokazujući da su svi učinkoviti kada stvaraju kalorijski deficit, podržavajući povezanost između posta i energetske ravnoteže.
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Clinical application of intermittent fasting for weight loss: progress and future directions.
Nature reviews. Endocrinology • 2022
Pregledava kliničke dokaze o povremenom postu, naglašavajući da su rezultati povezani s unosom kalorija i podržavajući prediktivno modeliranje učinaka posta.
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Time-restricted Eating for the Prevention and Management of Metabolic Diseases.
Endocrine reviews • 2022
Sveobuhvatni pregled prehrane s vremenskim ograničenjem, koji pokazuje njezinu učinkovitost kada se kombinira s sviješću o kalorijama i praćenjem.
Potpune reference
Potpuni popis svih recenziranih referenci. Oznake označavaju koje značajke svaka referenca podržava.
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1Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.Heymsfield SB, Ramirez S, Yang S et al. • Obesity (Silver Spring, Md.) • 2025[Calorie Deficit][Weight Forecast]
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2Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.Palmeira AL, Carraça EV, Santos I et al. • Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
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3Diet quality and environmental impact of university students' food choices at a South African university.Sahadeo S, Naicker A, Makanjana O et al. • Frontiers in nutrition • 2025[Carbon Footprint]
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4Considering greenhouse gas emissions from feed production in diet formulation for dairy cows as a means of reducing the carbon footprint.Managos M, Lindahl C, Agenäs S et al. • Animal : an international journal of animal bioscience • 2025[AI Food Scanner][Carbon Footprint]
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5Are healthier diets more sustainable? A cross-sectional assessment of 8 diet quality indexes and 7 sustainability metrics.Conrad Z, Thorne-Lyman AL, Wu S et al. • The American journal of clinical nutrition • 2025[AI Food Scanner][Carbon Footprint]
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6Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study.Zhang R, Chiron S, Tyree R et al. • JMIR formative research • 2025[AI Food Scanner]
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7Extract Nutritional Information from Bilingual Food Labels Using Large Language Models.Assiri FY, Alahmadi MD, Almuashi MA et al. • Journal of imaging • 2025[AI Food Scanner]
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8Intermittent fasting strategies and their effects on body weight and other cardiometabolic risk factors: systematic review and network meta-analysis of randomised clinical trials.Semnani-Azad Z, Khan TA, Chiavaroli L et al. • BMJ (Clinical research ed.) • 2025[Fasting View]
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9DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models.Yan R, Luo H, Lu J et al. • Communications medicine • 2025[AI Food Scanner]
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10Retinopathy of Prematurity.Kaur K, Mikes BA • Journal • 2025
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11Machine learning for forecasting initial seizure onset in neonatal hypoxic-ischemic encephalopathy.Bernardo D, Kim J, Cornet MC et al. • Epilepsia • 2025[Weight Forecast]
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12Machine learning-based prediction of G-CSF-induced hematopoietic stem cell mobilization outcomes in healthy volunteers.Shi C, Zeng X, Ge J et al. • Bone marrow transplantation • 2025[Weight Forecast]
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13Sustainable diets reduce diet-related greenhouse gas emissions and improve diet quality: results from the MyPlanetDiet randomized controlled trial.Davies KP, Gibney ER, Leonard UM et al. • The American journal of clinical nutrition • 2025[AI Food Scanner][Carbon Footprint][Carbon Footprint]
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14Sustainable Breastfeeding: A State-of-the Art Review.Bai YK, Alsaidi M • Journal of human lactation : official journal of International Lactation Consultant Association • 2024
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15Environmental and Health Sustainability of the Mediterranean Diet: A Systematic Review.Lorca-Camara V, Bosque-Prous M, Bes-Rastrollo M et al. • Advances in nutrition (Bethesda, Md.) • 2024[AI Food Scanner][Carbon Footprint]
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16[Analysis of food carbon footprint and its socio-demographic disparities in China in 2018].Hong X, Li W, Wang L et al. • Wei sheng yan jiu = Journal of hygiene research • 2024[Carbon Footprint]
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17The impact of slaughter weight and sex on the carbon footprint of pig feed intake.De Cuyper C, Van den Broeke A, Van Linden V et al. • Animal : an international journal of animal bioscience • 2024
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18Diagnostic Accuracy of IgA Anti-Transglutaminase Assessed by Chemiluminescence: A Systematic Review and Meta-Analysis.Pjetraj D, Pulvirenti A, Moretti M et al. • Nutrients • 2024
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19Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].Jain S, Lamba BY, Dubey SK • Food chemistry • 2024[Gluten Detection]
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20Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.Chotwanvirat P, Prachansuwan A, Sridonpai P et al. • Current developments in nutrition • 2024[AI Food Scanner][AI Food Scanner]
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21Time-restricted eating: Watching the clock to treat obesity.Ezpeleta M, Cienfuegos S, Lin S et al. • Cell metabolism • 2024[Fasting View]
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22Health Benefits of Intermittent Fasting.Reddy BL, Reddy VS, Saier MH Jr • Microbial physiology • 2024[Fasting View]
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23Effect of intermittent fasting 16:8 and 14:10 compared with control-group on weight reduction and metabolic outcomes in obesity with type 2 diabetes patients: A randomized controlled trial.Sukkriang N, Buranapin S • Journal of diabetes investigation • 2024[Fasting View]
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24Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: a multi-center study.Guan C, Gong A, Zhao Y et al. • Critical care (London, England) • 2024[Weight Forecast]
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25Machine learning based clinical prediction model for 1-year mortality in Sepsis patients with atrial fibrillation.Meng H, Guo L, Pan Y et al. • Heliyon • 2024[Weight Forecast]
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26Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?Kalantari E, Gholami H, Malakooti H et al. • Environmental science and pollution research international • 2024[Weight Forecast]
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27Health outcomes, environmental impacts, and diet costs of adherence to the EAT-Lancet Diet in China in 1997-2015: a health and nutrition survey.Cai H, Talsma EF, Chang Z et al. • The Lancet. Planetary health • 2024[Carbon Footprint]
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28Adherence to a Planetary Health Diet, Environmental Impacts, and Mortality in Chinese Adults.Ye YX, Geng TT, Zhou YF et al. • JAMA network open • 2023[Carbon Footprint]
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29Environmental impacts and diet quality of popular diet models compared to Turkey's national nutrition guidelines.Kemaloglu M, Öner N, Soylu M • Nutrition & dietetics : the journal of the Dietitians Association of Australia • 2023[Carbon Footprint]
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30Forage based diet as an alternative to a high concentrate diet for finishing young bulls - Effects on growth performance, greenhouse gas emissions and meat quality.Santos-Silva J, Alves SP, Francisco A et al. • Meat science • 2023[Carbon Footprint]
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31Evaluation of the Usefulness of an Automatable Immunoassay for Monitoring Celiac Disease by Quantification of Immunogenic Gluten Peptides in Urine.Segura V, Ruiz-Carnicer Á, Mendía I et al. • Nutrients • 2023[Gluten Detection]
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32Rapid Anti-tTG-IgA Screening Test for Early Diagnosis of Celiac Disease in Pediatric Populations.Mendia I, Segura V, Ruiz-Carnicer Á et al. • Nutrients • 2023[Gluten Detection]
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33Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.Hu G, Ahmed M, L'Abbé MR • The American journal of clinical nutrition • 2023[Weight Forecast][AI Food Scanner][AI Food Scanner]
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34A meta-analysis comparing the effectiveness of alternate day fasting, the 5:2 diet, and time-restricted eating for weight loss.Elortegui Pascual P, Rolands MR, Eldridge AL et al. • Obesity (Silver Spring, Md.) • 2023[Fasting View]
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35Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial.Teong XT, Liu K, Vincent AD et al. • Nature medicine • 2023[Budget-Based Calories][Calorie Deficit][Fasting View]
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36[Intermittent fasting and human metabolic health].Carvajal V, Marín A, Gihardo D et al. • Revista medica de Chile • 2023[Fasting View]
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37Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.Ferreras A, Sumalla-Cano S, Martínez-Licort R et al. • Journal of medical systems • 2023[Weight Forecast][Weight Forecast][Weight Forecast]
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38Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events.Gruen A, Mattingly KR, Morwitch E et al. • EBioMedicine • 2023[Weight Forecast]
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39A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons.Giamarelos N, Papadimitrakis M, Stogiannos M et al. • Sensors (Basel, Switzerland) • 2023[Weight Forecast]
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40Accurate prediction of calving in dairy cows by applying feature engineering and machine learning.Vázquez-Diosdado JA, Gruhier J, Miguel-Pacheco GG et al. • Preventive veterinary medicine • 2023[Weight Forecast]
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41Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.Wang Y, Ni B, Xiao Y et al. • Frontiers in cardiovascular medicine • 2023[Weight Forecast]
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42Population Pharmacokinetic Modeling Combined With Machine Learning Approach Improved Tacrolimus Trough Concentration Prediction in Chinese Adult Liver Transplant Recipients.Li ZR, Li RD, Niu WJ et al. • Journal of clinical pharmacology • 2023[Weight Forecast]
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43The importance of eggs in an environmentally sustainable diet.Mason P • Nutrition bulletin • 2023[AI Food Scanner][Carbon Footprint][Carbon Footprint]
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44Carbon dioxide (CO(2)) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index.García S, Bouzas C, Mateos D et al. • Environmental health : a global access science source • 2023[Carbon Footprint]
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45Carbon Footprint of Away-From-Home Food Consumption in Brazilian Diet.Bezerra IN, Verde SMML, Almeida BS et al. • International journal of environmental research and public health • 2022[Carbon Footprint]
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46Water-Food-Carbon Nexus Related to the Producer-Consumer Link: A Review.Wang J, Sun S, Yin Y et al. • Advances in nutrition (Bethesda, Md.) • 2022[Carbon Footprint]
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47Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil.Garzillo JMF, Poli VFS, Leite FHM et al. • Revista de saude publica • 2022[Carbon Footprint]
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48Cooking at Home, Fast Food, Meat Consumption, and Dietary Carbon Footprint among US Adults.Wolfson JA, Willits-Smith AM, Leung CW et al. • International journal of environmental research and public health • 2022[Carbon Footprint]
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49Food purchase behaviour in a Finnish population: patterns, carbon footprints and expenditures.Meinilä J, Hartikainen H, Tuomisto HL et al. • Public health nutrition • 2022[Carbon Footprint]
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50The positive climate impact of the Mediterranean diet and current divergence of Mediterranean countries towards less climate sustainable food consumption patterns.Castaldi S, Dembska K, Antonelli M et al. • Scientific reports • 2022[AI Food Scanner][Carbon Footprint]
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51Single-item substitutions can substantially reduce the carbon and water scarcity footprints of US diets.Rose D, Willits-Smith AM, Heller MC • The American journal of clinical nutrition • 2022[Carbon Footprint]
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52Carbon Footprint Reduction by Transitioning to a Diet Consistent with the Danish Climate-Friendly Dietary Guidelines: A Comparison of Different Carbon Footprint Databases.Trolle E, Nordman M, Lassen AD et al. • Foods (Basel, Switzerland) • 2022[Carbon Footprint]
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53Clinical application of intermittent fasting for weight loss: progress and future directions.Varady KA, Cienfuegos S, Ezpeleta M et al. • Nature reviews. Endocrinology • 2022[Fasting View]
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54Intermittent Fasting and Metabolic Health.Vasim I, Majeed CN, DeBoer MD • Nutrients • 2022[Fasting View]
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