| 2021 | AISTATS | Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. | Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath |
| 2021 | AMIA | Data-Driven Patterns in Protective Effects of Ibuprofen and Ketorolac on Hospitalized Covid-19 Patients. | Rich Caruana, Benjamin J. Lengerich, Yindalon Aphinyanaphongs |
| 2021 | AMIA | Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage. | Peter A. Stella, Elizabeth Haines, Yindalon Aphinyanaphongs |
| 2021 | FlAIRS | Expanding the Reach of Structured EHR Data with Clinical Notes Improving End-of-Life Prediction. | Seda Bilaloglu, Vincent J. Major, Himanshu Grover, Isabel Metzger, Yindalon Aphinyanaphongs |
| 2019 | AMIA | Translating, Implementing, Deploying, and Evaluating Clinical Interventions Using Machine Learning Based Predictive Models: Illustrative Case Studies. | Yindalon Aphinyanaphongs, Jonathan K. Wilt, Corey J. Chivers, Mark P. Sendak |
| 2019 | AMIA | The Process of Developing, Validating and Operationalizing a Personalized Machine Learning Algorithm for Clinical Decision Support: A Case Study. | Sara Kuppin Chokshi, Ji Chen, Roshini Hegde, Eduardo Iturrate, Yindalon Aphinyanaphongs, Javier Gonzalez, Devin M. Mann |
| 2018 | AMIA | Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research. | Vincent J. Major, Alisa Surkis, Yindalon Aphinyanaphongs |
| 2017 | AMIA | Optimizing Parameters of word2vec for a Text Classification Task. | Vincent J. Major, Alisa Surkis, Yindalon Aphinyanaphongs |
| 2017 | AMIA | Neural Network Word Embeddings for Text Classification of MeSH terms. | Walter Wang, Yindalon Aphinyanaphongs |
| 2016 | AMIA | Simplifying PheWAS Analysis: An R Package and Teaching Module. | Emily Kawaler, Yindalon Aphinyanaphongs |
| 2016 | AMIA | Reusable Filtering Functions for Application in ICU data: a case study. | Vincent J. Major, Monique S. Tanna, Simon Jones, Yindalon Aphinyanaphongs |
| 2015 | AMIA | Building and evaluating predictive models for postoperative ileus prior to colorectal surgery. | Xuya Wang, Raul Caso Caso, Yindalon Aphinyanaphongs |
| 2013 | AMIA | Feasibility of Machine Learning Based Automatic Classification of Medical School Curricula. | Bisakha Ray, Lawrence D. Fu, William Holloway, Yindalon Aphinyanaphongs |
| 2012 | AMIA | Using Knowledge from APIs to Disambiguate Affiliation Names in MEDLINE. | Karen Hanson, Yindalon Aphinyanaphongs, Lawrence D. Fu |
| 2006 | AMIA | Prospective Validation of Text Categorization Filters for Identifying High-Quality, Content-Specific Articles in MEDLINE. | Yindalon Aphinyanaphongs, Constantin F. Aliferis |
| 2003 | AMIA | Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine. | Yindalon Aphinyanaphongs, Constantin F. Aliferis |