A novel electronic health record-based, machine-learning model to predict severe hypoglycemia leading to hospitalizations in older adults with diabetes: A territory-wide cohort and modeling study

Using nearly 1.5 million health records from >350,000 older adults with diabetes in Hong Kong, Elaine Chow and colleagues investigate a novel machine learning model to predict risk of severe hypoglycaemia.

Related Keywords

Hong Kong ,University Of Hong Kong ,Hong Kong General ,United States ,China ,Chinese ,American ,Astra Zeneca ,Merck Serono ,Bristol Myers Squibb ,Chinese University Of Hong Kong ,International Classification Of Primary Care ,Hospital Authority Data Collaboration Laboratory ,Boehringer Ingelheim ,Hospital Authority Data Collaboration Lab ,Novo Nordisk ,Hong Kong Hospital Authority Data Collaboration Lab ,Hong Kong Hospital Authority ,Pfizer ,Glaxosmithkline ,Nestle ,International Classification Of Diseases Ninth Revision ,Tricida Inc ,American Diabetes Association ,Astrazeneca ,Hospital Authority ,Kong Hospital Authority ,Hong Kong Diabetes Register ,Creative Commons Attribution License ,Chinese University ,Impact Research Fellowship Scheme ,Merck Sharp ,Kyowa Kirin ,Roche Diagnostics ,Academic Editor ,Hypoglycemia Assessment Tool ,Big Data Analytics Platform ,International Classification ,Diseases Ninth Revision ,Joint Chinese University ,Primary Care ,Second Edition ,Chronic Kidney Disease Epidemiology Collaboration ,Wales Hospital ,Clinical Management System ,Medical Risk Factors ,Diabetes Mellitus ,Elderly ,Forecasting ,Hypoglycemia ,Electronic Medical Records ,Insulin ,Type 2 Diabetes Risk ,