Du Hao

Du Hao is currently a PhD candidate ​in Saw Swee Hock School of Public Health, National University of Singapore. Before his PhD, he obtained his BEng from Nanyang Technological University, Singapore, and worked as a research engineer. His research interests focus on applying and developing machine learning on clinical data, including electrical health records, sensor data and medical imaging.

• Digital mammography classification with deep neural networks.
• Disease Trajectory modelling
• Time series EMR data analysis

• *Patrick D Tyler, *Hao Du, Mengling Feng, Ran Bai, Zhenglin Xu, Gary L Horowitz, David J. Stone, Leo Anthony Celi. “A novel approach for interpreting laboratory values in intensive care unit patients.” (submitted)
• Top 5 (out of 1352 participants) and selected for collaborative round in the Digital Mammogram DREAM challenge
• Hao Du, Corey Markus, Michael Metz, Mengling Feng, Tze Ping. “Derivation of outcome-based pediatric critical values”. American Journal of Clinical Pathology, 2017.
• (Best Poster Award) Hao Du, Eng Hooi Tan, Zhutian Yang, Yingda Li, Corey Markus, Michael Metz, Kee Yuan Ngiam, Mengling Feng, Tze Ping Loh. “Derivation of data-driven, outcome-based critical values” XIV International Congress of Paediatric Laboratory Medicine, 2017.
• Du Hao, Mohammad M. Ghassemi, and Mengling Feng. "The effects of deep network topology on mortality prediction." Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. IEEE, 2016.