Primary Care

Obesity

Latest AI and machine learning research in obesity for healthcare professionals.

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Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning.

Medical costs are one of the most common recurring expenses in a person's life. Based on different r...

Automated detection scheme for acute myocardial infarction using convolutional neural network and long short-term memory.

The early detection of acute myocardial infarction, which is caused by lifestyle-related risk factor...

Retzius-sparing technique independently predicts early recovery of urinary continence after robot-assisted radical prostatectomy.

Robot-assisted radical prostatectomy (RARP) is the conventional surgical treatment option for locali...

Body fat prediction through feature extraction based on anthropometric and laboratory measurements.

Obesity, associated with having excess body fat, is a critical public health problem that can cause ...

Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach.

BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in ...

A machine learning-based on-demand sweat glucose reporting platform.

Diabetes is a chronic endocrine disease that occurs due to an imbalance in glucose levels and alteri...

Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.

The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the lead...

PhageLeads: Rapid Assessment of Phage Therapeutic Suitability Using an Ensemble Machine Learning Approach.

The characterization of therapeutic phage genomes plays a crucial role in the success rate of phage ...

Mid-term functional outcomes of extraperitoneal robot-assisted simple prostatectomy: a single centre experience.

For large prostate volume, open simple prostatectomy (OSP) or holmium laser enucleation are the gold...

Deep learning via LSTM models for COVID-19 infection forecasting in India.

The COVID-19 pandemic continues to have major impact to health and medical infrastructure, economy, ...

An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus.

Gestational Diabetes Mellitus (GDM), a common pregnancy complication associated with many maternal a...

Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.

The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of ...

Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.

This study looked at novel data sources for cardiovascular risk prediction including detailed lifest...

Shape Prediction of Nasal Bones by Digital 2D-Photogrammetry of the Nose Based on Convolution and Back-Propagation Neural Network.

In rhinoplasty, it is necessary to consider the correlation between the anthropometric indicators of...

Interpretable machine learning for high-dimensional trajectories of aging health.

We have built a computational model for individual aging trajectories of health and survival, which ...

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network.

Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment ...

Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.

PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clari...

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