Jason A. Fries

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 25

Top Topics

Pulmonary Embolism

Electronic Health Records

Top Venues

npj Digit. Medicine

Publications

Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. AAAI (2024)
Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai "Orson" Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models. NeurIPS (2023)
Louis Blankemeier, Jason A. Fries, Robert Tinn, Joseph Preston, Nigam Shah, Akshay Chaudhari
Efficient Diagnosis Assignment Using Unstructured Clinical Notes. ACL (2) (2023)
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason A. Fries, Nigam H. Shah
The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs. CoRR (2023)
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. CoRR (2023)
Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo P. Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. CoRR (2023)
Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records. CoRR (2023)
Ethan Steinberg, Yizhe Xu, Jason A. Fries, Nigam Shah
Self-Supervised Time-to-Event Modeling with Structured Medical Records. CoRR (2023)
Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models. CoRR (2023)
Ryan Smith, Jason A. Fries, Braden Hancock, Stephen H. Bach
Language Models in the Loop: Incorporating Prompting into Weak Supervision. CoRR (2022)
Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. NeurIPS (2022)
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
Language models are an effective representation learning technique for electronic health record data. J. Biomed. Informatics 113 (2021)
Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju S. Patel, Conor K. Corbin, Nigam H. Shah
Estimating the efficacy of symptom-based screening for COVID-19. npj Digit. Medicine 3 (2020)
Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, José D. Posada, Alison Callahan, Nigam H. Shah
Trove: Ontology-driven weak supervision for medical entity classification. CoRR (2020)
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data. CoRR (2020)
Sehj Kashyap, Saurabh Gombar, Steve Yadlowsky, Alison Callahan, Jason A. Fries, Benjamin A. Pinsky, Nigam H. Shah
Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopening. J. Am. Medical Informatics Assoc. 27 (7) (2020)
Adam S. Miner, Albert Haque, Jason A. Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce A. Arnow, W. Stewart Agras, Li Fei-Fei, Nigam H. Shah
Assessing the accuracy of automatic speech recognition for psychotherapy. npj Digit. Medicine 3 (2020)
Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason A. Fries, Sen Wu, Christopher Ré
Snorkel: rapid training data creation with weak supervision. VLDB J. 29 (2-3) (2020)
Alison Callahan, Jason A. Fries, Christopher Ré, James I Huddleston III, Nicholas J. Giori, Scott L. Delp, Nigam H. Shah
Medical device surveillance with electronic health records. CoRR (2019)
Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Multi-Resolution Weak Supervision for Sequential Data. CoRR (2019)
Alison Callahan, Jason A. Fries, Christopher Ré, James I Huddleston III, Nicholas J. Giori, Scott L. Delp, Nigam H. Shah
Medical device surveillance with electronic health records. npj Digit. Medicine 2 (2019)
Jason A. Fries, Sen Wu, Alexander Ratner, Christopher Ré
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data. CoRR (2017)
Madalina Fiterau, Suvrat Bhooshan, Jason A. Fries, Charles Bournhonesque, Jennifer L. Hicks, Eni Halilaj, Christopher Ré, Scott L. Delp
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information. MLHC (2017)
Henry R. Ehrenberg, Jaeho Shin, Alexander J. Ratner, Jason A. Fries, Christopher Ré
Data programming with DDLite: putting humans in a different part of the loop. HILDA@SIGMOD (2016)
Jason A. Fries, Philip M. Polgreen, Alberto M. Segre
Mining the Demographics of Craigslist Casual Sex Ads to Inform Public Health Policy. ICHI (2014)
Jason A. Fries, Alberto M. Segre, Philip Polgreen
Using Online Classified Ads to Identify the Geographic Footprints of Anonymous, Casual Sex-Seeking Individuals. SocialCom/PASSAT (2012)