Predicting Hurricane Power Outages to Support Storm Response Planning. - Seth D. Guikema; Roshanak Nateghi; Steven M. Quiring; Andrea Staid; Allison C. Reilly; Michael Gao (IEEE Access, 2014)

Guiding Principles for the Duke Connected Care Predictive Modeling Pilot. - Eugenie Komives; Shelley A. Rusincovitch; John Paat; Lawrence Carin; Daniel Costello; Michael Gao; Bradley G. Hammill; Ricardo Henao; Nigel B. Neely; Ursula Rogers; Devdutta Sangvai; Mary Schilder; et al. (AMIA, 2017)

Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population. - Shelley A. Rusincovitch; Ricardo Henao; Michael Gao; Lawrence Carin; Ursula Rogers; Nigel B. Neely; Mary Schilder; Daniel Costello; Eugenie Komives; Erich Huang (AMIA, 2017)

First Principles Calculation of the Entropy of Liquid Aluminum. - Michael Widom; Michael Gao (Entropy, 2019)

Dynamic Control of Probabilistic Simple Temporal Networks. - Michael Gao; Lindsay Popowski; Jim Boerkoel (AAAI, 2020)

"The human body is a black box": supporting clinical decision-making with deep learning. - Mark P. Sendak; Madeleine Clare Elish; Michael Gao; Joseph Futoma; William Ratliff; Marshall Nichols; Armando Bedoya; Suresh Balu; Cara O'Brien (FAT*, 2020)

Quantifying controllability in temporal networks with uncertainty. - Shyan Akmal; Savana Ammons; Hemeng Li; Michael Gao; Lindsay Popowski; James C. Boerkoel Jr. (Artif. Intell., 2020)

Presenting machine learning model information to clinical end users with model facts labels. - Mark P. Sendak; Michael Gao; Nathan Brajer; Suresh Balu (npj Digit. Medicine, 2020)

Variational Disentanglement for Rare Event Modeling. - Zidi Xiu; Chenyang Tao; Michael Gao; Connor Davis; Benjamin Alan Goldstein; Ricardo Henao (AAAI, 2021)

Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study. - Aman Kansal; Michael Gao; Suresh Balu; Marshall Nichols; Kristin Corey; Sehj Kashyap; Mark P. Sendak (Int. J. Medical Informatics, 2021)

Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. - Mark P. Sendak; Michael Gao; William Ratliff; Marshall Nichols; Armando Bedoya; Cara O'Brien; Suresh Balu (J. Am. Medical Informatics Assoc., 2021)

Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. - Mark P. Sendak; Gaurav Sirdeshmukh; Timothy Ochoa; Hayley Premo; Linda Tang; Kira Niederhoffer; Sarah Reed; Kaivalya Deshpande; Emily Sterrett; Melissa Bauer; Laurie Snyder; Afreen Shariff; et al. (MLHC, 2022)

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. - William Boag; Alifia Hasan; Jee Young Kim; Mike Revoir; Marshall Nichols; William Ratliff; Michael Gao; Shira Zilberstein; Zainab Samad; Zahra Hoodbhoy; Mushyada Ali; Nida Saddaf Khan; et al. (npj Digit. Medicine, 2024)

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. - Nicoleta J. Economou-Zavlanos; Sophia Bessias; Michael P. Cary; Armando Bedoya; Benjamin Goldstein 001; John Eric Jelovsek; Cara O'Brien; Nancy Walden; Matthew Elmore; Amanda B. Parrish; Scott Elengold; Kay S. Lytle; et al. (J. Am. Medical Informatics Assoc., 2024)

Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model. - Bruno Valan; Anusha Prakash 003; William Ratliff; Michael Gao; Srikanth Muthya; Ajit Thomas; Jennifer L. Eaton; Matt Gardner 004; Marshall Nichols; Mike Revoir; Dustin Tart; Cara O'Brien; et al. (npj Digit. Medicine, 2025)