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Identifying prospective frequent readmitters for hospital to home intervention using machine learning Cover

Authors

Andy Ta

cheryl.ng@ihis.com.sg

Integrated Health Information System

Han Leong Goh

cheryl.ng@ihis.com.sg

Integrated Health Information System

Chuen Seng Tan

cheryl.ng@ihis.com.sg

National University Health System

Yan Sun

cheryl.ng@ihis.com.sg

National Health Group

Khin Chaw Yu Aung

cheryl.ng@ihis.com.sg

Changi General Hospital

Zsin Woon Teoh

cheryl.ng@ihis.com.sg

Ministry of Health, Singapore

Kelvin Bryan Tan

cheryl.ng@ihis.com.sg

Ministry of Health, Singapore

Zheng Yi Lau

cheryl.ng@ihis.com.sg

Ministry of Health, Singapore

John Arputhan Abisheganaden

cheryl.ng@ihis.com.sg

Tan Tock Seng Hospital

Kheng Hock Le

cheryl.ng@ihis.com.sg

Singapore General Hospital

Sweet Fun Wong

cheryl.ng@ihis.com.sg

Khoo Teck Puat Hospital

Wai Leng Chow

cheryl.ng@ihis.com.sg

Changi General Hospital

Pranav Vinod Kumar

cheryl.ng@ihis.com.sg

Integrated Health Information System

Zi Chao Choong

cheryl.ng@ihis.com.sg

Integrated Health Information System

Cheryl Ng

cheryl.ng@ihis.com.sg

Integrated Health Information System

Christine Ang

cheryl.ng@ihis.com.sg

Integrated Health Information System

Mervin Chan

cheryl.ng@ihis.com.sg

Integrated Health Information System

Daryl Lim

cheryl.ng@ihis.com.sg

Integrated Health Information System

Cheng Ooi Low

cheryl.ng@ihis.com.sg

Ministry of Health, Singapore
DOI: https://doi.org/10.5334/ijic.s3228 | Journal eISSN: 1568-4156
Language: English
Page range: 228 - 228
Published on: Aug 8, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Andy Ta, Han Leong Goh, Chuen Seng Tan, Yan Sun, Khin Chaw Yu Aung, Zsin Woon Teoh, Kelvin Bryan Tan, Zheng Yi Lau, John Arputhan Abisheganaden, Kheng Hock Le, Sweet Fun Wong, Wai Leng Chow, Pranav Vinod Kumar, Zi Chao Choong, Cheryl Ng, Christine Ang, Mervin Chan, Daryl Lim, Cheng Ooi Low, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.