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For: Morgenstern JD, Rosella LC, Costa AP, de Souza RJ, Anderson LN. Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology. Adv Nutr 2021;12:621-631. [PMID: 33606879 PMCID: PMC8166570 DOI: 10.1093/advances/nmaa183] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 11/04/2020] [Accepted: 12/29/2020] [Indexed: 01/09/2023]  Open
Number Cited by Other Article(s)
1
Hutchinson JM, Raffoul A, Pepetone A, Andrade L, Williams TE, McNaughton SA, Leech RM, Reedy J, Shams-White MM, Vena JE, Dodd KW, Bodnar LM, Lamarche B, Wallace MP, Deitchler M, Hussain S, Kirkpatrick SI. Advances in methods for characterizing dietary patterns: A scoping review. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.20.24309251. [PMID: 38947003 PMCID: PMC11213084 DOI: 10.1101/2024.06.20.24309251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
2
Rothschild JA, Stewart T, Kilding AE, Plews DJ. Predicting daily recovery during long-term endurance training using machine learning analysis. Eur J Appl Physiol 2024:10.1007/s00421-024-05530-2. [PMID: 38900201 DOI: 10.1007/s00421-024-05530-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 06/14/2024] [Indexed: 06/21/2024]
3
El Sherbini A, Rosenson RS, Al Rifai M, Virk HUH, Wang Z, Virani S, Glicksberg BS, Lavie CJ, Krittanawong C. Artificial intelligence in preventive cardiology. Prog Cardiovasc Dis 2024;84:76-89. [PMID: 38460897 DOI: 10.1016/j.pcad.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 03/03/2024] [Indexed: 03/11/2024]
4
Yamaguchi M, Araki M, Hamada K, Nojiri T, Nishi N. Development of a Machine Learning Model for Classifying Cooking Recipes According to Dietary Styles. Foods 2024;13:667. [PMID: 38472780 DOI: 10.3390/foods13050667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024]  Open
5
Zheng X, Pan F, Naumovski N, Wei Y, Wu L, Peng W, Wang K. Precise prediction of metabolites patterns using machine learning approaches in distinguishing honey and sugar diets fed to mice. Food Chem 2024;430:136915. [PMID: 37515908 DOI: 10.1016/j.foodchem.2023.136915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 07/13/2023] [Accepted: 07/15/2023] [Indexed: 07/31/2023]
6
Lagoumintzis G, Patrinos GP. Triangulating nutrigenomics, metabolomics and microbiomics toward personalized nutrition and healthy living. Hum Genomics 2023;17:109. [PMID: 38062537 PMCID: PMC10704648 DOI: 10.1186/s40246-023-00561-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/02/2023] [Indexed: 12/18/2023]  Open
7
Young HA, Geurts L, Scarmeas N, Benton D, Brennan L, Farrimond J, Kiliaan AJ, Pooler A, Trovò L, Sijben J, Vauzour D. Multi-nutrient interventions and cognitive ageing: are we barking up the right tree? Nutr Res Rev 2023;36:471-483. [PMID: 36156184 DOI: 10.1017/s095442242200018x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
8
Namkhah Z, Fatemi SF, Mansoori A, Nosratabadi S, Ghayour-Mobarhan M, Sobhani SR. Advancing sustainability in the food and nutrition system: a review of artificial intelligence applications. Front Nutr 2023;10:1295241. [PMID: 38035357 PMCID: PMC10687214 DOI: 10.3389/fnut.2023.1295241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/02/2023] [Indexed: 12/02/2023]  Open
9
Martin-Morales A, Yamamoto M, Inoue M, Vu T, Dawadi R, Araki M. Predicting Cardiovascular Disease Mortality: Leveraging Machine Learning for Comprehensive Assessment of Health and Nutrition Variables. Nutrients 2023;15:3937. [PMID: 37764721 PMCID: PMC10534618 DOI: 10.3390/nu15183937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023]  Open
10
Wirtz Baker JM, Pou SA, Niclis C, Haluszka E, Aballay LR. Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments. Int J Obes (Lond) 2023:10.1038/s41366-023-01331-3. [PMID: 37393408 DOI: 10.1038/s41366-023-01331-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/01/2023] [Accepted: 06/21/2023] [Indexed: 07/03/2023]
11
Lee DH, Seong H, Chang D, Gupta VK, Kim J, Cheon S, Kim G, Sung J, Han NS. Evaluating the prebiotic effect of oligosaccharides on gut microbiome wellness using in vitro fecal fermentation. NPJ Sci Food 2023;7:18. [PMID: 37160919 PMCID: PMC10170090 DOI: 10.1038/s41538-023-00195-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 04/24/2023] [Indexed: 05/11/2023]  Open
12
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis. Foods 2023;12:foods12061242. [PMID: 36981168 PMCID: PMC10048131 DOI: 10.3390/foods12061242] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/06/2023] [Accepted: 03/09/2023] [Indexed: 03/17/2023]  Open
13
Ferraz de Arruda H, Aleta A, Moreno Y. Food composition databases in the era of Big Data: Vegetable oils as a case study. Front Nutr 2023;9:1052934. [PMID: 36687693 PMCID: PMC9851468 DOI: 10.3389/fnut.2022.1052934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 12/07/2022] [Indexed: 01/07/2023]  Open
14
Dhanapal ACTA, Wuni R, Ventura EF, Chiet TK, Cheah ESG, Loganathan A, Quen PL, Appukutty M, Noh MFM, Givens I, Vimaleswaran KS. Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia. Nutrients 2022;14:5108. [PMID: 36501140 PMCID: PMC9740135 DOI: 10.3390/nu14235108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/16/2022] [Accepted: 11/25/2022] [Indexed: 12/02/2022]  Open
15
Livingstone KM, Ramos-Lopez O, Pérusse L, Kato H, Ordovas JM, Martínez JA. Reprint of: Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
16
Livingstone KM, Ramos-Lopez O, Pérusse L, Kato H, Ordovas JM, Martínez JA. Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci Technol 2022;128:253-264. [DOI: https:/doi.org/10.1016/j.tifs.2022.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
17
Livingstone KM, Ramos-Lopez O, Pérusse L, Kato H, Ordovas JM, Martínez JA. Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.08.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
18
Wang F, Zheng J, Cheng J, Zou H, Li M, Deng B, Luo R, Wang F, Huang D, Li G, Zhang R, Ding X, Li Y, Du J, Yang Y, Kan J. Personalized nutrition: A review of genotype-based nutritional supplementation. Front Nutr 2022;9:992986. [PMID: 36159456 PMCID: PMC9500586 DOI: 10.3389/fnut.2022.992986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022]  Open
19
MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions. Sci Data 2022;9:557. [PMID: 36085296 PMCID: PMC9463137 DOI: 10.1038/s41597-022-01663-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/24/2022] [Indexed: 01/15/2023]  Open
20
Determining the effective factors in predicting diet adherence using an intelligent model. Sci Rep 2022;12:12340. [PMID: 35853992 PMCID: PMC9296581 DOI: 10.1038/s41598-022-16680-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 07/13/2022] [Indexed: 11/08/2022]  Open
21
Ruan H, Tang Q, Zhang Y, Zhao X, Xiang Y, Feng Y, Cai W. Comparing human milk macronutrients measured using analyzers based on mid-infrared spectroscopy and ultrasound and the application of machine learning in data fitting. BMC Pregnancy Childbirth 2022;22:562. [PMID: 35836199 PMCID: PMC9284806 DOI: 10.1186/s12884-022-04891-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 07/01/2022] [Indexed: 11/10/2022]  Open
22
Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.05.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
23
Morgenstern JD, Rosella LC, Costa AP, Anderson LN. Development of machine learning prediction models to explore nutrients predictive of cardiovascular disease using Canadian linked population-based data. Appl Physiol Nutr Metab 2022;47:529-546. [PMID: 35113677 DOI: 10.1139/apnm-2021-0502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
24
Russo S, Bonassi S. Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology. Nutrients 2022;14:nu14091705. [PMID: 35565673 PMCID: PMC9105182 DOI: 10.3390/nu14091705] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 02/06/2023]  Open
25
Birk N, Matsuzaki M, Fung TT, Li Y, Batis C, Stampfer MJ, Deitchler M, Willett WC, Fawzi WW, Bromage S, Kinra S, Bhupathiraju SN, Lake E. Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India. J Nutr 2021;151:110S-118S. [PMID: 34689190 PMCID: PMC8542097 DOI: 10.1093/jn/nxab281] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/26/2021] [Accepted: 08/02/2021] [Indexed: 12/03/2022]  Open
26
Côté M, Lamarche B. Artificial intelligence in nutrition research: perspectives on current and future applications. Appl Physiol Nutr Metab 2021;47:1-8. [PMID: 34525321 DOI: 10.1139/apnm-2021-0448] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
27
Williams LT. Advances in assessing dietary intake: Lessons from technology and nutritional epidemiology. Nutr Diet 2021;78:117-120. [PMID: 33851501 DOI: 10.1111/1747-0080.12669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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