AIMC Topic: Singapore
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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 ...
Sensitivity and Specificity
Middle Aged
Image Processing, Computer-Assisted
Diabetes Mellitus
Mass Screening
Decision Trees
Ophthalmology
Singapore
Artificial Intelligence
Machine Learning
Aged
Adult
Humans
Diabetic Retinopathy
Diagnostic Techniques, Ophthalmological
Health Care Costs
Photography
Physical Examination
Models, Biological
Retina
Telemedicine
Cost-Benefit Analysis
Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in Singapore.
BMJ open
Jan 6, 2020
OBJECTIVE: We aim to characterise persistent high utilisers (PHUs) of healthcare services, and correspondingly, transient high utilisers (THUs) and non-high utilisers (non-HUs) for comparison, to facilitate stratifying HUs for targeted intervention. ...
Detecting adverse drug reactions in discharge summaries of electronic medical records using Readpeer.
International journal of medical informatics
May 25, 2019
BACKGROUND: Hospital discharge summaries offer a potentially rich resource to enhance pharmacovigilance efforts to evaluate drug safety in real-world clinical practice. However, it is infeasible for experts to read through all discharge summaries to ...
Metabarcoding and machine learning analysis of environmental DNA in ballast water arriving to hub ports.
Environment international
Jan 17, 2019
While ballast water has long been linked to the global transport of invasive species, little is known about its microbiome. Herein, we used 16S rRNA gene sequencing and metabarcoding to perform the most comprehensive microbiological survey of ballast...
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