AIMC Topic: Nutrition Surveys

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Coronary heart disease classification using deep learning approach with feature selection for improved accuracy.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Coronary heart disease (CHD) is one of the deadliest diseases and a risk prediction model for cardiovascular conditions is needed. Due to the huge number of features that lead to heart problems, it is often difficult for an expert to eval...
Female Aged Male Humans Neural Networks, Computer ROC Curve Nutrition Surveys Coronary Disease Middle Aged Risk Assessment Deep Learning
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Machine Learning-Based Prediction of Elevated PTH Levels Among the US General Population.

The Journal of clinical endocrinology and metabolism Nov 25, 2022
CONTEXT: Although elevated parathyroid hormone (PTH) levels are associated with higher mortality risks, the evidence is limited as to when PTH is expected to be elevated and thus should be measured among the general population.
Nutrition Surveys Humans Machine Learning Adult Cohort Studies ROC Curve Logistic Models
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Machine Learning Model for Predicting CVD Risk on NHANES Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Cardiovascular disease (CVD) is a major health problem throughout the world. It is the leading cause of morbidity and mortality and also causes considerable economic burden to society. The early symptoms related to previous observations and abnormal ...
Humans Machine Learning Cardiovascular Diseases Retrospective Studies Risk Assessment Risk Factors Nutrition Surveys Young Adult
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Reporting of demographic data and representativeness in machine learning models using electronic health records.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: The development of machine learning (ML) algorithms to address a variety of issues faced in clinical practice has increased rapidly. However, questions have arisen regarding biases in their development that can affect their applicability i...
Electronic Health Records Female Male Humans Machine Learning Demography Nutrition Surveys Socioeconomic Factors Ethnicity
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A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population.
Area Under Curve Prediabetic State Humans Middle Aged Prevalence Risk Factors Nutrition Surveys ROC Curve Adult Models, Theoretical Machine Learning Male Socioeconomic Factors Algorithms Female
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A Machine Learning Approach to Identification of Unhealthy Drinking.

Journal of the American Board of Family Medicine : JABFM Jan 1, 2020
INTRODUCTION: Unhealthy drinking is prevalent in the United States, and yet it is underidentified and undertreated. Identifying unhealthy drinkers can be time-consuming and uncomfortable for primary care providers. An automated rule for identificatio...
Alcohol Drinking Male Logistic Models Nutrition Surveys United States Mass Screening Support Vector Machine Humans Machine Learning Female Adult
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Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study.

Medicine Oct 1, 2019
The purpose of this study was to verify the usefulness of machine learning (ML) for selection of risk factors and development of predictive models for patients with sarcopenia.We collected medical records from Korean postmenopausal women based on Kor...
Cross-Sectional Studies Risk Assessment Female Sarcopenia Nutrition Surveys Humans Risk Factors Postmenopause Machine Learning Aged Republic of Korea
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Impact of metformin on serum prostate-specific antigen levels: Data from the national health and nutrition examination survey 2007 to 2008.

Medicine Dec 1, 2017
PURPOSE: A possible association between metformin use and the development of prostate cancer (PCa) has been reported. However, there is limited information on the impact of long-term metformin use on serum prostate-specific antigen (PSA) levels. We i...
Nutrition Surveys Diabetes Mellitus Prostatic Neoplasms Prostate-Specific Antigen Metformin Male Humans Middle Aged Adult Logistic Models
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[Serum 25-hydroxyvitamin D state in healthy children ten year minors old of Barranquilla metropolitan area].

Salud publica de Mexico Jan 1, 2017
OBJETIVE: To evaluate the serum 25-hydroxyvitamin D (25-OH-D) levels in healthy children under 10 years of the Barranquilla metropolitan area.
Infant Child, Preschool Child Female Cross-Sectional Studies Vitamin D Deficiency Male Humans Nutrition Surveys Micronutrients Colombia Urban Population Vitamin D
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