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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 02, 2024
. (Total: 63767 Documents since 2012)
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The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information.
Tiantian Wu et al. Clin Nutr 2024 43(5) 1151-1161
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Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review.
Tagne Poupi Theodore Armand et al. Nutrients 2024 16(7)
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The Effectiveness of Artificial Intelligence in Assisting Mothers with Assessing Infant Stool Consistency in a Breastfeeding Cohort Study in China.
Jieshu Wu et al. Nutrients 2024 16(6)
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Cholesterol-modified prognostic nutritional index (CPNI) as an effective tool for assessing the nutrition status and predicting survival in patients with breast cancer.
Jinyu Shi et al. BMC Med 2023 21(1) 512
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Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.
Yicheng Wang et al. Front Cardiovasc Med 2023 101296405
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AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.
Eleanor Shonkoff et al. Ann Med 2023 55(2) 2273497
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Metabolic syndrome prediction using non-invasive and dietary parameters based on a support vector machine.
Sahar Mohseni-Takalloo et al. Nutr Metab Cardiovasc Dis 2023
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Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control.
Mei-Yuan Liu et al. Bioengineering (Basel) 2023 10(10)
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Machine learning and personalized nutrition: a promising liaison?
Paola G Ferrario et al. Eur J Clin Nutr 2023
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Artificial Intelligence Applications to Public Health Nutrition.
Ruopeng An et al. Nutrients 2023 15(19)
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Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.
Zihan Qu et al. BMC Psychiatry 2023 23(1) 620
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Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods.
Seong Gyu Choi et al. Sci Rep 2023 13(1) 13101
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The usefulness of machine learning analysis for predicting the presence of depression with the results of the Korea National Health and Nutrition Examination Survey.
Sang Won Kim et al. Ann Palliat Med 2023
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Development and validation of a prediction equation for body fat percentage from measured BMI: a supervised machine learning approach.
Shiming Xu et al. Sci Rep 2023 13(1) 8010
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NIH launches largest precision nutrition research effort of its kind
NIH ALL of Us, May 2023
Sarcopenia Prediction for Elderly People Using Machine Learning: A Case Study on Physical Activity.
Minje Seok et al. Healthcare (Basel) 2023 11(9)
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Machine learning for the prediction of cognitive impairment in older adults.
Wanyue Li et al. Front Neurosci 2023 171158141
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Using machine learning algorithms to identify chronic heart disease: National Health and Nutrition Examination Survey 2011-2018.
Xiaofei Chen et al. J Cardiovasc Med (Hagerstown) 2023
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Machine learning algorithms assist early evaluation of enteral nutrition in ICU patients.
Ya-Xi Wang et al. Front Nutr 2023 101060398
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A machine learning-based diagnosis modelling of type 2 diabetes mellitus with environmental metal exposure.
Min Zhao et al. Comput Methods Programs Biomed 2023 235107537
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Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management.
Kosuke Inoue et al. International journal of epidemiology 2023
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Development of a Multibiomarker Panel of Healthy Eating Index in United States Adults: A Machine Learning Approach.
Shuang Liang et al. The Journal of nutrition 2023 153(1) 385-392
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Enabling Informed Decision Making in the Absence of Detailed Nutrition Labels: A Model to Estimate the Added Sugar Content of Foods.
Reka Daniel-Weiner et al. Nutrients 2023 15(4)
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Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery.
Vy Kim Nguyen et al. medRxiv : the preprint server for health sciences 2023
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Novel nutritional indicator as predictors among subtypes of lung cancer in diagnosis.
Haiyang Li et al. Frontiers in nutrition 2023 101042047
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Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China.
Ziyi Li et al. Frontiers in public health 2023 111033070
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Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART-2 study.
Kenji Nakano et al. ESC heart failure 2023
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Machine Learning Prediction of Objective Hearing Loss With Demographics, Clinical Factors, and Subjective Hearing Status.
Tyler J Gathman et al. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery 2023
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Distinguishing Exposure to Secondhand and Thirdhand Tobacco Smoke among U.S. Children Using Machine Learning: NHANES 2013-2016.
Ashley L Merianos et al. Environmental science & technology 2023
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Machine learning modeling practices to support the principles of AI and ethics in nutrition research.
Thomas Diana M et al. Nutrition & diabetes 2022 12(1) 48
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 02, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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