AIMC Topic: Singapore
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Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.
Scientific reports
Jan 20, 2022
This study looked at novel data sources for cardiovascular risk prediction including detailed lifestyle questionnaire and continuous blood pressure monitoring, using ensemble machine learning algorithms (MLAs). The reference conventional risk score c...
Hydration Status and Fluid Replacement Strategies of High-Performance Adolescent Athletes: An Application of Machine Learning to Distinguish Hydration Characteristics.
Nutrients
Nov 15, 2021
There are limited data on the fluid balance characteristics and fluid replenishment behaviors of high-performance adolescent athletes. The heterogeneity of hydration status and practices of adolescent athletes warrant efficient approaches to individu...
Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.
Nature communications
Sep 23, 2021
Assisted reproductive technologies (ART) are increasingly used, however little is known about the long-term health of ART-conceived offspring. Weak selection of comparison groups and poorly characterized mechanisms impede current understanding. In a ...
Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals.
International journal of environmental research and public health
Aug 17, 2021
Singapore is one of the first known countries to implement an individual-centric discharge process across all public hospitals to manage frequent admissions-a perennial challenge for public healthcare, especially in an aging population. Specifically,...
Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions.
JAMA network open
Aug 2, 2021
IMPORTANCE: Triage in the emergency department (ED) is a complex clinical judgment based on the tacit understanding of the patient's likelihood of survival, availability of medical resources, and local practices. Although a scoring tool could be valu...
Augmenting Product Defect Surveillance Through Web Crawling and Machine Learning in Singapore.
Drug safety
Jun 19, 2021
INTRODUCTION: Substandard medicines are medicines that fail to meet their quality standards and/or specifications. Substandard medicines can lead to serious safety issues affecting public health. With the increasing number of pharmaceuticals and the ...
Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor.
Prenatal diagnosis
Feb 12, 2021
OBJECTIVE: To investigate the performance of the machine learning (ML) model in predicting small-for-gestational-age (SGA) at birth, using second-trimester data.
Application of artificial neural networks to predict the COVID-19 outbreak.
Global health research and policy
Nov 23, 2020
BACKGROUND: Millions of people have been infected worldwide in the COVID-19 pandemic. In this study, we aim to propose fourteen prediction models based on artificial neural networks (ANN) to predict the COVID-19 outbreak for policy makers.
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations.
The Lancet. Digital health
May 12, 2020
BACKGROUND: Screening for chronic kidney disease is a challenge in community and primary care settings, even in high-income countries. We developed an artificial intelligence deep learning algorithm (DLA) to detect chronic kidney disease from retinal...
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.
The Lancet. Digital health
Apr 23, 2020
BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus photographs. We used a cost-minimisation analysis to evaluate the potential savings ...
Diabetes Mellitus
Diagnostic Techniques, Ophthalmological
Aged
Mass Screening
Humans
Adult
Decision Trees
Health Care Costs
Diabetic Retinopathy
Sensitivity and Specificity
Ophthalmology
Photography
Artificial Intelligence
Middle Aged
Singapore
Physical Examination
Machine Learning
Image Processing, Computer-Assisted
Models, Biological
Retina
Telemedicine
Cost-Benefit Analysis
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