S. Basu

NGBoost: Natural Gradient Boosting for Probabilistic Prediction pdf

Andrew Y. Ng, Anand Avati, Daisy Yi Ding, 2019, ICML.

Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model

A. Ng, Pranav Rajpurkar, Robyn L. Ball, 2019, JAMA network open.

NGBoost: Natural Gradient Boosting for Probabilistic Prediction pdf

Andrew Y. Ng, Anand Avati, Daisy Yi Ding, 2019, ICML.

Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments

A. Ng, P. Rajpurkar, J. Irvin, 2020, BMC Public Health.

Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic.

S. Nundy, M. Sendak, Sonoo Thadaney-Israni, 2020, NAM perspectives.

disParities: a structured tutoriaL

James H. Faghmous, S. Basu, P. Doupe, 2020 .

Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression

Arielle S. Keller, A. Ng, Pranav Rajpurkar, 2020, JAMA network open.

Machine Learning for Health Services Researchers.

James H. Faghmous, Sanjay Basu, Patrick Doupe, 2019, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

Improving Hospital Readmission Prediction using Individualized Utility Analysis

N. Shah, M. Ko, E. Chen, 2020, medRxiv.

Generalizability of heterogeneous treatment effects based on causal forests applied to two randomized clinical trials of intensive glycemic control.

D. Reda, D. Ghosh, Seth A. Berkowitz, 2021, Annals of epidemiology.

Machine Learning Methods for Precision Medicine Research Designed to Reduce Health Disparities: A Structured Tutorial.

James H. Faghmous, James H Faghmous, Sanjay Basu, 2020, Ethnicity & disease.