Andrew Beam

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Top Venues

J. Biomed. Informatics

Publications

Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam
Large Language Models in Mental Health Care: a Scoping Review. CoRR (2024)
Joe B. Hakim, Jeffery L. Painter, Darmendra Ramcharran, Vijay Kara, Greg Powell, Paulina Sobczak, Chiho Sato, Andrew Bate, Andrew Beam
The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem. CoRR (2024)
David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data. CoRR (2023)
Bhawesh Kumar, Charlie Lu, Gauri Gupta, Anil Palepu, David R. Bellamy, Ramesh Raskar, Andrew Beam
Conformal Prediction with Large Language Models for Multi-Choice Question Answering. CoRR (2023)
Anil Palepu, Andrew Beam
TIER: Text-Image Entropy Regularization for Medical CLIP-style models. MLHC (2023)
Bhawesh Kumar, Anil Palepu, Rudraksh Tuwani, Andrew Beam
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction. CoRR (2022)
Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. NeurIPS (2022)
Allen Schmaltz, Andrew Beam
Exemplar Auditing for Multi-Label Biomedical Text Classification. CoRR (2020)
Allen Schmaltz, Andrew Beam
Coarse-to-Fine Memory Matching for Joint Retrieval and Classification. CoRR (2020)
Benjamin Kompa, Jasper Snoek, Andrew Beam
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. CoRR (2020)
Hadi Amiri, Andrew Beam, Isaac S. Kohane
Learning to Estimate Nutrition Facts from Food Descriptions. AMIA (2019)
Wenxin Ning, Stephanie Chan, Andrew Beam, Ming Yu, Alon Geva, Katherine P. Liao, Mary Mullen, Kenneth D. Mandl, Isaac S. Kohane, Tianxi Cai, Sheng Yu
Feature extraction for phenotyping from semantic and knowledge resources. J. Biomed. Informatics 91 (2019)
Luwan Zhang, Yichi Zhang, Tianrun A. Cai, Yuri Ahuja, Zeling He, Yuk-Lam Ho, Andrew Beam, Kelly Cho, Robert Carroll, Joshua C. Denny, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai
Automated grouping of medical codes via multiview banded spectral clustering. J. Biomed. Informatics 100 (2019)
Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Corey Chivers, Andrew Beam, Tristan Naumann, Brett K. Beaulieu-Jones
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS (2019)
Tianrun A. Cai, Andrew Beam, Stephanie Chan, Jacqueline Honerlaw, Yichi Zhang, David Gagnon, Kelly Cho, J. Michael Gaziano, Katherine P. Liao, Tianxi Cai
Improving EHR Chart Review Efficiency via Semantic Similarity Assessment. AMIA (2017)
Uri Kartoun, Andrew Beam, Jennifer Pai, Arnaub Chatterjee, Timothy P. Fitzgerald, Isaac S. Kohane, Stanley Y. Shaw
The Spectrum of Insomnia-Associated Comorbidities in an Electronic Medical Records Cohort. AMIA (2016)