[HTML][HTML] A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to …
Obesity is considered a principal public health concern and ranked as the fifth foremost
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …
The secondary use of electronic health records for data mining: Data characteristics and challenges
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …
management of patients' health-related information. However, these records have also been …
[HTML][HTML] Prediction of early childhood obesity with machine learning and electronic health record data
Objective This study compares seven machine learning models developed to predict
childhood obesity from age> 2 to≤ 7 years using Electronic Healthcare Record (EHR) data …
childhood obesity from age> 2 to≤ 7 years using Electronic Healthcare Record (EHR) data …
An extensive data processing pipeline for mimic-iv
M Gupta, B Gallamoza, N Cutrona… - … Learning for Health, 2022 - proceedings.mlr.press
An increasing amount of research is being devoted to applying machine learning methods to
electronic health record (EHR) data for various clinical purposes. This growing area of …
electronic health record (EHR) data for various clinical purposes. This growing area of …
[HTML][HTML] Machine learning models to predict childhood and adolescent obesity: a review
G Colmenarejo - Nutrients, 2020 - mdpi.com
The prevalence of childhood and adolescence overweight an obesity is raising at an
alarming rate in many countries. This poses a serious threat to the current and near-future …
alarming rate in many countries. This poses a serious threat to the current and near-future …
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
Clinical trials are indispensable for medical research and the development of new
treatments. However, clinical trials often involve thousands of participants and can span …
treatments. However, clinical trials often involve thousands of participants and can span …
Missing value imputation methods for electronic health records
Electronic health records (EHR) are patient-level information, eg, laboratory tests and
questionnaires, stored in electronic format. Compared to physical records, the EHR …
questionnaires, stored in electronic format. Compared to physical records, the EHR …
A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of lifestyle diseases
Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
[HTML][HTML] A systematic literature review on outlier detection in wireless sensor networks
A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …