Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study

10.2196/30805

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Main Authors:	Chua, Horng-Ruey, Zheng, Kaiping, Vathsala, Anantharaman, Ngiam, Kee-Yuan, Yap, Hui-Kim, Lu, Liangjian, Tiong, Ho-Yee, Mukhopadhyay, Amartya, MacLaren, Graeme, Lim, Shir-Lynn, Akalya, K, Ooi, Beng-Chin
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Language:	English
Published:	JMIR PUBLICATIONS, INC 2022
Subjects:	Science & Technology Life Sciences & Biomedicine Health Care Sciences & Services Medical Informatics acute kidney injury artificial intelligence biomarkers clinical deterioration electronic health records hospital medicine machine learning CONTRAST-INDUCED NEPHROPATHY INTERVENTION PROGRAM TRENDS
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/217001
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-217001
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spelling	sg-nus-scholar.10635-2170012024-04-18T02:38:29Z Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study Chua, Horng-Ruey Zheng, Kaiping Vathsala, Anantharaman Ngiam, Kee-Yuan Yap, Hui-Kim Lu, Liangjian Tiong, Ho-Yee Mukhopadhyay, Amartya MacLaren, Graeme Lim, Shir-Lynn Akalya, K Ooi, Beng-Chin DEPARTMENT OF COMPUTER SCIENCE MEDICINE DEPT OF PAEDIATRICS DEPT OF SURGERY DUKE-NUS MEDICAL SCHOOL Science & Technology Life Sciences & Biomedicine Health Care Sciences & Services Medical Informatics acute kidney injury artificial intelligence biomarkers clinical deterioration electronic health records hospital medicine machine learning CONTRAST-INDUCED NEPHROPATHY INTERVENTION PROGRAM TRENDS 10.2196/30805 JOURNAL OF MEDICAL INTERNET RESEARCH 23 12 2022-03-14T01:31:41Z 2022-03-14T01:31:41Z 2021-12-24 2022-03-13T09:16:05Z Article Chua, Horng-Ruey, Zheng, Kaiping, Vathsala, Anantharaman, Ngiam, Kee-Yuan, Yap, Hui-Kim, Lu, Liangjian, Tiong, Ho-Yee, Mukhopadhyay, Amartya, MacLaren, Graeme, Lim, Shir-Lynn, Akalya, K, Ooi, Beng-Chin (2021-12-24). Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study. JOURNAL OF MEDICAL INTERNET RESEARCH 23 (12). ScholarBank@NUS Repository. https://doi.org/10.2196/30805 1438-8871 https://scholarbank.nus.edu.sg/handle/10635/217001 en JMIR PUBLICATIONS, INC Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Life Sciences & Biomedicine Health Care Sciences & Services Medical Informatics acute kidney injury artificial intelligence biomarkers clinical deterioration electronic health records hospital medicine machine learning CONTRAST-INDUCED NEPHROPATHY INTERVENTION PROGRAM TRENDS
spellingShingle	Science & Technology Life Sciences & Biomedicine Health Care Sciences & Services Medical Informatics acute kidney injury artificial intelligence biomarkers clinical deterioration electronic health records hospital medicine machine learning CONTRAST-INDUCED NEPHROPATHY INTERVENTION PROGRAM TRENDS Chua, Horng-Ruey Zheng, Kaiping Vathsala, Anantharaman Ngiam, Kee-Yuan Yap, Hui-Kim Lu, Liangjian Tiong, Ho-Yee Mukhopadhyay, Amartya MacLaren, Graeme Lim, Shir-Lynn Akalya, K Ooi, Beng-Chin Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
description	10.2196/30805
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE Chua, Horng-Ruey Zheng, Kaiping Vathsala, Anantharaman Ngiam, Kee-Yuan Yap, Hui-Kim Lu, Liangjian Tiong, Ho-Yee Mukhopadhyay, Amartya MacLaren, Graeme Lim, Shir-Lynn Akalya, K Ooi, Beng-Chin
format	Article
author	Chua, Horng-Ruey Zheng, Kaiping Vathsala, Anantharaman Ngiam, Kee-Yuan Yap, Hui-Kim Lu, Liangjian Tiong, Ho-Yee Mukhopadhyay, Amartya MacLaren, Graeme Lim, Shir-Lynn Akalya, K Ooi, Beng-Chin
author_sort	Chua, Horng-Ruey
title	Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
title_short	Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
title_full	Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
title_fullStr	Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
title_full_unstemmed	Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
title_sort	health care analytics with time-invariant and time-variant feature importance to predict hospital-acquired acute kidney injury: observational longitudinal study
publisher	JMIR PUBLICATIONS, INC
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/217001
_version_	1800915345386504192

Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study

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