Yindalon Aphinyanaphongs

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 32

Top Topics

Machine Learning

Text Classification

Top Venues

npj Digit. Medicine

Publications

Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model. CoRR (2024)
Vincent J. Major, Claudia S. Plottel, Yindalon Aphinyanaphongs
Ten Years of Health Informatics Education for Physicians. ICHI (2023)
Yuxuan Hu, Albert Lui, Mark Goldstein, Mukund Sudarshan, Andrea Tinsay, Cindy Tsui, Samuel Maidman, John Medamana, Neil Jethani, Aahlad Manas Puli, Vuthy Nguy, Yindalon Aphinyanaphongs, Nicholas Kiefer, Nathaniel Smilowitz, James Horowitz, Tania Ahuja, Glenn I Fishman, Judith Hochman, Stuart Katz, Samuel Bernard, Rajesh Ranganath
A dynamic risk score for early prediction of cardiogenic shock using machine learning. CoRR (2023)
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Z. Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann
Health system-scale language models are all-purpose prediction engines. Nat. 619 (7969) (2023)
Vincent J. Major, Walter Wang, Yindalon Aphinyanaphongs
Enabling AI-Augmented Clinical Workflows by Accessing Patient Data in Real-Time with FHIR. ICHI (2023)
Neil Jethani, Aahlad Manas Puli, Hao Zhang, Leonid Garber, Lior Jankelson, Yindalon Aphinyanaphongs, Rajesh Ranganath
New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography. CoRR (2022)
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021)
Peter A. Stella, Elizabeth Haines, Yindalon Aphinyanaphongs
Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage. AMIA (2021)
Rich Caruana, Benjamin J. Lengerich, Yindalon Aphinyanaphongs
Data-Driven Patterns in Protective Effects of Ibuprofen and Ketorolac on Hospitalized Covid-19 Patients. AMIA (2021)
Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR (2021)
Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS (2021)
Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui, Devin M. Mann, Maurizio Porfiri, Mark Riedl, John-Ross Rizzo, Batia Wiesenfeld
The transformation of patient-clinician relationships with AI-based medical advice. Commun. ACM 64 (3) (2021)
Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. CoRR (2021)
Seda Bilaloglu, Vincent J. Major, Himanshu Grover, Isabel Metzger, Yindalon Aphinyanaphongs
Expanding the Reach of Structured EHR Data with Clinical Notes Improving End-of-Life Prediction. FLAIRS Conference (2021)
Narges Razavian, Vincent J. Major, Mukund Sudarshan, Jesse Burk-Rafel, Peter Stella, Hardev Randhawa, Seda Bilaloglu, Ji Chen, Vuthy Nguy, Walter Wang, Hao Zhang, Ilan Reinstein, David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Siddhant Dogra, Keerthi B. Harish, Brian Bosworth, Fritz Francois, Leora I. Horwitz, Rajesh Ranganath, Jonathan Austrian, Yindalon Aphinyanaphongs
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. npj Digit. Medicine 3 (2020)
Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui, Devin M. Mann, Maurizio Porfiri, Mark Riedl, John-Ross Rizzo, Batia Wiesenfeld
The Transformation of Patient-Clinician Relationships With AI-Based Medical Advice: A "Bring Your Own Algorithm" Era in Healthcare. CoRR (2020)
Vincent J. Major, Yindalon Aphinyanaphongs
Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Isabel Metzger, Emir Y. Haskovic, Allison Black, Whitley M. Yi, Rajat S. Chandra, Mark T. Rutledge, William McMahon, Yindalon Aphinyanaphongs
SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing. SMM4H@COLING (2020)
Benedict Guzman, Isabel Metzger, Yindalon Aphinyanaphongs, Himanshu Grover
Assessment of Amazon Comprehend Medical: Medication Information Extraction. CoRR (2020)
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR (2020)
Sara Kuppin Chokshi, Ji Chen, Roshini Hegde, Eduardo Iturrate, Yindalon Aphinyanaphongs, Javier Gonzalez, Devin M. Mann
The Process of Developing, Validating and Operationalizing a Personalized Machine Learning Algorithm for Clinical Decision Support: A Case Study. AMIA (2019)
Yindalon Aphinyanaphongs, Jonathan Wilt, Corey J. Chivers, Mark P. Sendak
Translating, Implementing, Deploying, and Evaluating Clinical Interventions Using Machine Learning Based Predictive Models: Illustrative Case Studies. AMIA (2019)
Vincent J. Major, Alisa Surkis, Yindalon Aphinyanaphongs
Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research. AMIA (2018)
Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. CoRR (2017)
Walter Wang, Yindalon Aphinyanaphongs
Neural Network Word Embeddings for Text Classification of MeSH terms. AMIA (2017)
Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. VAST (2017)
Vincent J. Major, Alisa Surkis, Yindalon Aphinyanaphongs
Utility of general and specific word embeddings for classifying translational stages of research. CoRR (2017)
Vincent J. Major, Alisa Surkis, Yindalon Aphinyanaphongs
Optimizing Parameters of word2vec for a Text Classification Task. AMIA (2017)
Vincent J. Major, Monique S. Tanna, Simon Jones, Yindalon Aphinyanaphongs
Reusable Filtering Functions for Application in ICU data: a case study. AMIA (2016)
Emily Kawaler, Yindalon Aphinyanaphongs
Simplifying PheWAS Analysis: An R Package and Teaching Module. AMIA (2016)
Xuya Wang, Raul Caso Caso, Yindalon Aphinyanaphongs
Building and evaluating predictive models for postoperative ileus prior to colorectal surgery. AMIA (2015)
Bisakha Ray, Yindalon Aphinyanaphongs, Sean Heffron
Text Classification-Based Automatic Recruitment of Patients for Clinical Trials: A Silver Standards-Based Case Study. ICHI (2015)
Yindalon Aphinyanaphongs, Lawrence D. Fu, Zhiguo Li, Eric R. Peskin, Efstratios Efstathiadis, Constantin F. Aliferis, Alexander R. Statnikov
A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization. J. Assoc. Inf. Sci. Technol. 65 (10) (2014)
Yindalon Aphinyanaphongs, Lawrence D. Fu, Constantin F. Aliferis
Identifying Unproven Cancer Treatments on the Health Web: Addressing Accuracy, Generalizability and Scalability. MedInfo (2013)
Lawrence D. Fu, Yindalon Aphinyanaphongs, Constantin F. Aliferis
Computer models for identifying instrumental citations in the biomedical literature. Scientometrics 97 (3) (2013)
Bisakha Ray, Lawrence D. Fu, William Holloway, Yindalon Aphinyanaphongs
Feasibility of Machine Learning Based Automatic Classification of Medical School Curricula. AMIA (2013)
Karen Hanson, Yindalon Aphinyanaphongs, Lawrence D. Fu
Using Knowledge from APIs to Disambiguate Affiliation Names in MEDLINE. AMIA (2012)
Lawrence D. Fu, Yindalon Aphinyanaphongs, Lily Wang, Constantin F. Aliferis
A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topic. J. Biomed. Informatics 44 (4) (2011)
Yindalon Aphinyanaphongs, Constantin F. Aliferis
Text Categorization Models for Identifying Unproven Cancer Treatments on the Web. MedInfo (2007)
Elmer V. Bernstam, Jorge R. Herskovic, Yindalon Aphinyanaphongs, Constantin F. Aliferis, Madurai G. Sriram, William R. Hersh
Research Paper: Using Citation Data to Improve Retrieval from MEDLINE. J. Am. Medical Informatics Assoc. 13 (1) (2006)
Yindalon Aphinyanaphongs, Alexander R. Statnikov, Constantin F. Aliferis
Research Paper: A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents. J. Am. Medical Informatics Assoc. 13 (4) (2006)
Yindalon Aphinyanaphongs, Constantin F. Aliferis
Prospective Validation of Text Categorization Filters for Identifying High-Quality, Content-Specific Articles in MEDLINE. AMIA (2006)
Yindalon Aphinyanaphongs, Ioannis Tsamardinos, Alexander R. Statnikov, Douglas P. Hardin, Constantin F. Aliferis
Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine. J. Am. Medical Informatics Assoc. 12 (2) (2005)
Yindalon Aphinyanaphongs, Constantin F. Aliferis
Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine. AMIA (2003)