A hybrid framework for genome wide epistasis discovery. - Zehao Tan; Zhuo Zhang 001; Jiang Liu 001; Chee Keong Kwoh 001; Sim Heng Ong; Yik Ying Teo; Chiea-Chuen Khor; E. Shyong Tai; Tin Aung; Eranga Vithana; Tien Yin Wong (EMBC, 2011)

Towards longitudinal analysis of a population's electronic health records using factor graphs. - Arjun P. Athreya; Kee Yuan Ngiam; Zhaojing Luo; E. Shyong Tai; Zbigniew Kalbarczyk; Ravishankar K. Iyer (BDCAT, 2016)

From descriptive to diagnostic analytics for assessing data quality: An application to temporal data elements in electronic health records. - Xiaodong Deng; Wee Hwee Lin; E. Shyong Tai; Eric Khoo Yin Hao; Mark Kevin Salloway; Chuen Seng Tan (BHI, 2016)

A de-identification tool for users in medical operations and public health. - Mark Kevin Salloway; Xiaodong Deng; Yilin Ning; Shih Ling Kao; Ying Chen 009; G. Owen Schaefer; Jacqueline Joon-Lin Chin; E. Shyong Tai; Chuen Seng Tan (BHI, 2016)

Predicting high cost patients with type 2 diabetes mellitus using hospital databases in a multi-ethnic Asian population. - Chuen Seng Tan; Xiaodong Deng; E. Shyong Tai; Eric Khoo Yin Hao; Toh Ee Shiow; Mark Kevin Salloway; Koh Thuan Wee; Thomas Wee; Wee Hwee Lin (BHI, 2016)

Feasibility of representing adherence to blood glucose monitoring through visualizations: A pilot survey study among healthcare workers. - Ying Chen 009; Shih Ling Kao; Maudrene Tan; Yilin Ning; Mark Kevin Salloway; Wee Hwee Lin; Kavita Venkataraman; Eric Khoo Yin Hao; Yeow Leng Chow; E. Shyong Tai; Chuen Seng Tan (Int. J. Medical Informatics, 2018)

A structural variation reference for medical and population genetics. - Ryan L. Collins; Harrison Brand; Konrad J. Karczewski; Xuefang Zhao; Jessica Alföldi; Laurent C. Francioli; Amit V. Khera; Chelsea Lowther; Laura D. Gauthier; Harold Wang; Nicholas A. Watts; Matthew Solomonson; et al. (Nat., 2020)

Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset. - Selva Muthu Kumaran Sathappan; Young Seok Jeon; Trung Kien Dang; Su Chi Lim; Yi-Ming Shao; E. Shyong Tai; Mengling Feng (Appl. Clin. Inform., 2021)

Using off-target data from whole-exome sequencing to improve genotyping accuracy, association analysis and polygenic risk prediction. - Jinzhuang Dou; Degang Wu; Lin Ding; Kai Wang; Minghui Jiang 005; Xiaoran Chai; Dermot F. Reilly; E. Shyong Tai; Jianjun Liu; Xueling Sim; Shanshan Cheng; Chaolong Wang (Briefings Bioinform., 2021)

Multidisciplinary Effort to Drive Precision-Medicine for the Future. - Dewei Kong; Haojie Yu; Xueling Sim; Kevin White 008; E. Shyong Tai; Markus Wenk; Adrian Kee Keong Teo (Frontiers Digit. Health, 2022)

Sharing precision medicine data with private industry: Outcomes of a citizens' jury in Singapore. - Angela Ballantyne; Tamra Lysaght; Hui Jin Toh; Serene A. K. Ong; Andrew Lau; G. Owen Schaefer; Vicki Xafis; E. Shyong Tai; Ainsley J. Newson; Stacy M. Carter; Christopher Degeling; Annette Braunack-Mayer (Big Data Soc., 2022)

Development of "LvL UP 1.0": a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. - Oscar Castro; Jacqueline Louise Mair; Alicia Salamanca-Sanabria; Aishah Alattas; Roman Keller; Shenglin Zheng; Ahmad Jabir; Xiaowen Lin; Bea Franziska Frese; Chang Siang Lim; Prabhakaran Santhanam; Rob M. van Dam; et al. (Frontiers Digit. Health, 2023)

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI. - Yeshe M. Kway; Kashthuri Thirumurugan; Navin Michael; Kok Hian Tan; Keith M. Godfrey; Peter D. Gluckman; Yap-Seng Chong; Kavita Venkataraman; Eric Yin Hao Khoo; Chin Meng Khoo; Melvin Khee-Shing Leow; E. Shyong Tai; et al. (Comput. Biol. Medicine, 2023)