Ding Quan Ng

According to our database, Ding Quan Ng authored at least 2 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study.

Jatin Goyal, Ding Quan Ng, Kevin Zhang, Alexandre Chan, Joyce Lee, Kai Zheng, Keri Hurley-Kim, Lee Nguyen, Lu He, Megan Nguyen, Sarah McBane, Wei Li, Christine Luu Cadiz

BMC Medical Informatics Decis. Mak., December, 2023

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.

Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan

J. Am. Medical Informatics Assoc., April, 2023