Yin Aphinyanaphongs

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 8

Top Topics

Smoking Cessation

Top Venues

Nat. Mac. Intell.

Publications

Benjamin J. Lengerich, Sebastian Bordt, Harsha Nori, Mark E. Nunnally, Yin Aphinyanaphongs, Manolis Kellis, Rich Caruana
LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs. CoRR (2023)
Alexander Peysakhovich, Rich Caruana, Yin Aphinyanaphongs
Diagnosis Uncertain Models For Medical Risk Prediction. CoRR (2023)
Elisabeth Yang, Yin Aphinyanaphongs, Paawan Punjabi, Jonathan S. Austrian, Batia Wiesenfeld
Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome Prediction. AMIA (2022)
Batia Mishan Wiesenfeld, Yin Aphinyanaphongs, Oded Nov
AI model transferability in healthcare: a sociotechnical perspective. Nat. Mac. Intell. 4 (10) (2022)
Benjamin J. Lengerich, Mark E. Nunnally, Yin Aphinyanaphongs, Rich Caruana
Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML. CoRR (2022)
Benjamin J. Lengerich, Mark E. Nunnally, Yin Aphinyanaphongs, Caleb Ellington, Rich Caruana
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study. J. Biomed. Informatics 130 (2022)
Yin Aphinyanaphongs, David Holmes, Berkman Sahiner, Parsa Mirhaji, Michael Draugelis
The Good, The Bad, and The Ugly of Deploying and Adopting Machine Learning Based Models in Clinical Practice. AMIA (2017)
Yin Aphinyanaphongs, Armine Lulejian, Duncan Penfold-Brown, Richard Bonneau, Paul Krebs
Text Classification for Automatic Detection of E-Cigarette Use and Use for Smoking Cessation from Twitter: A Feasibility Pilot. PSB (2016)
Yin Aphinyanaphongs, Bisakha Ray, Alexander R. Statnikov, Paul Krebs
Text classification for automatic detection of alcohol use-related tweets: A feasibility study. IRI (2014)
Yin Aphinyanaphongs, Constantin F. Aliferis
Learning Boolean Queries for Article Quality Filtering. MedInfo (2004)