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Using machine learning to develop smart reflex testing protocols
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2023
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Matthew J. McDermott
Anand S. Dighe
Peter Szolovits
Yuan Luo
Jason M. Baron
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Using Machine Learning to Develop Smart Reflex Testing Protocols
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2023
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Matthew J. McDermott
Anand S. Dighe
Peter Szolovits
Yuan Luo
Jason M. Baron
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Do We Still Need Clinical Language Models?
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2023
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Eric Lehman
Evan Hernandez
Diwakar Mahajan
Jonas Wulff
Micah J. Smith
Zachary M. Ziegler
Daniel Nadler
Peter Szolovits
Alistair E. W. Johnson
Emily Alsentzer
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Right, No Matter Why: AI Fact-checking and AI Authority in Health-related Inquiry Settings
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2023
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Elena Sergeeva
Anastasia Sergeeva
Huiyun Tang
Kerstin Bongard-Blanchy
Peter Szolovits
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Explainable deep learning in healthcare: A methodological survey from an attribution view
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2022
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Di Jin
Elena Sergeeva
Wei‐Hung Weng
Geeticka Chauhan
Peter Szolovits
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Learning to Ask Like a Physician
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2022
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Eric Lehman
Vladislav Lialin
Katelyn Edelwina Legaspi
Anne Janelle Sy
Patricia Therese Pile
Nicole Rose I. Alberto
Richard Raymund Ragasa
Corinna Victoria Puyat
Marianne Katharina Taliño
Isabelle Rose Alberto
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Learning to Ask Like a Physician
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2022
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Eric Lehman
Vladislav Lialin
Katelyn Y. Legaspi
Anne Janelle R. Sy
Patricia Therese S. Pile
Nicole Rose I. Alberto
Richard Raymund R. Ragasa
Corinna Victoria M. Puyat
Isabelle Rose I. Alberto
Pia Gabrielle I. Alfonso
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Explainable Deep Learning in Healthcare: A Methodological Survey from an
Attribution View
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2021
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Di Jin
Elena V. Sergeeva
Wei‐Hung Weng
Geeticka Chauhan
Peter Szolovits
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Decision letter for "A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning"
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2021
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Franck Dernoncourt
Ji Eun Lee
Peter Szolovits
Özlem Uzuner
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What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams
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2021
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Di Jin
Eileen Pan
Nassim Oufattole
Wei‐Hung Weng
Hanyi Fang
Peter Szolovits
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What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
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2021
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Di Jin
Eileen Pan
Nassim Oufattole
Wei‐Hung Weng
Hanyi Fang
Peter Szolovits
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ATLAS: An automated association test using probabilistically linked health records with application to genetic studies
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2021
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Harrison G. Zhang
Boris P. Hejblum
Griffin M. Weber
Nathan Palmer
Susanne Churchill
Peter Szolovits
Shawn N. Murphy
Katherine P. Liao
Isaac S. Kohane
Tianxi Cai
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Decision letter for "A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning"
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2021
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Franck Dernoncourt
Ji Eun Lee
Peter Szolovits
Özlem Uzuner
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PDF
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Review for "A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning"
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2021
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Franck Dernoncourt
Ji Eun Lee
Peter Szolovits
Özlem Uzuner
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Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences.
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2021
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Matthew B. A. McDermott
Brendan Yap
Peter Szolovits
Marinka Žitnik
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Adversarial Contrastive Pre-training for Protein Sequences
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2021
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Matthew B. A. McDermott
Brendan Yap
Tzu-Ming Harry Hsu
Di Jin
Peter Szolovits
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An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
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2021
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Sijia Liu
Andrew Wen
Liwei Wang
Huan He
Sunyang Fu
Robert F. Miller
Andrew E. Williams
Daniel R. Harris
Ramakanth Kavuluru
Mei Liu
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Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
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2021
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Di Jin
Elena Sergeeva
Wei‐Hung Weng
Geeticka Chauhan
Peter Szolovits
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Structure Inducing Pre-Training
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2021
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Matthew B. A. McDermott
Brendan Yap
Peter Szolovits
Marinka Žitnik
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TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
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2020
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So-Yeon Min
Preethi Raghavan
Peter Szolovits
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Entity-Enriched Neural Models for Clinical Question Answering
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2020
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Bhanu Pratap Singh Rawat
Wei‐Hung Weng
Preethi Raghavan
Peter Szolovits
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Advancing PICO element detection in biomedical text via deep neural networks
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2020
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Di Jin
Peter Szolovits
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Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
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2020
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Di Jin
Zhijing Jin
Joey Tianyi Zhou
Peter Szolovits
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Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
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2020
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Di Jin
Zhijing Jin
Joey Tianyi Zhou
Lisa Orii
Peter Szolovits
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A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation
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2020
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Di Jin
Zhijing Jin
Joey Tianyi Zhou
Peter Szolovits
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Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
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2020
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Di Jin
Zhijing Jin
Joey Tianyi Zhou
Lisa Orii
Peter Szolovits
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Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
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2020
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Aaron Sonabend-W
Junwei Lu
Leo Anthony Celi
Tianxi Cai
Peter Szolovits
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Entity-Enriched Neural Models for Clinical Question Answering
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2020
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Bhanu Pratap Singh Rawat
Wei‐Hung Weng
So-Yeon Min
Preethi Raghavan
Peter Szolovits
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CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
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2020
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Matthew B. A. McDermott
Tzu Ming Harry Hsu
Wei‐Hung Weng
Marzyeh Ghassemi
Peter Szolovits
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A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
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2020
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Matthew B. A. McDermott
Bret Nestor
Evan Kim
Wei Zhang
Anna Goldenberg
Peter Szolovits
Marzyeh Ghassemi
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What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
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2020
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Di Jin
Eileen Pan
Nassim Oufattole
Wei‐Hung Weng
Hanyi Fang
Peter Szolovits
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Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
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2020
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Geeticka Chauhan
Ruizhi Liao
William M. Wells
Jacob Andreas
Xin Wang
Seth J. Berkowitz
Steven Horng
Peter Szolovits
Polina Golland
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Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
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2020
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Geeticka Chauhan
Ruizhi Liao
William A. Wells
Jacob Andreas
Xin Wang
Seth A. Berkowitz
Steven Horng
Peter Szolovits
Polina Golland
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TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
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2020
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So-Yeon Min
Preethi Raghavan
Peter Szolovits
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Entity-Enriched Neural Models for Clinical Question Answering
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2020
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Bhanu Pratap Singh Rawat
Wei‐Hung Weng
So-Yeon Min
Preethi Raghavan
Peter Szolovits
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Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
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2019
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Di Jin
Zhijing Jin
Joey Tianyi Zhou
Peter Szolovits
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Unsupervised Clinical Language Translation
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2019
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Wei‐Hung Weng
Yu-An Chung
Peter Szolovits
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REflex: Flexible Framework for Relation Extraction in Multiple Domains
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2019
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Geeticka Chauhan
Matthew B. A. McDermott
Peter Szolovits
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Unsupervised Clinical Language Translation
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2019
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Wei‐Hung Weng
Yu-An Chung
Peter Szolovits
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Clinically Accurate Chest X-Ray Report Generation
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2019
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Guanxiong Liu
Tzu-Ming Harry Hsu
Matthew B. A. McDermott
Willie Boag
Wei‐Hung Weng
Peter Szolovits
Marzyeh Ghassemi
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REflex: Flexible Framework for Relation Extraction in Multiple Domains
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2019
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Geeticka Chauhan
Matthew B. A. McDermott
Peter Szolovits
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Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
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2019
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Di Jin
Zhijing Jin
Joey Tianyi Zhou
Peter Szolovits
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Representation Learning for Electronic Health Records
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2019
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Wei‐Hung Weng
Peter Szolovits
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Implementing a Portable Clinical NLP System with a Common Data Model -- a Lisp Perspective
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2018
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Yuan Luo
Peter Szolovits
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Racial Disparities and Mistrust in End-of-Life Care
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2018
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Willie Boag
Harini Suresh
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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Modeling Mistrust in End-of-Life Care.
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2018
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Willie Boag
Harini Suresh
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
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2018
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Willie Boag
Tristan Naumann
Peter Szolovits
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CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
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2018
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Willie Boag
Elena Sergeeva
Saurabh Kulshreshtha
Peter Szolovits
Anna Rumshisky
Tristan Naumann
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Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment
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2018
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Wei‐Hung Weng
Peter Szolovits
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Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
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2018
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Di Jin
Peter Szolovits
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Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks
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2018
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Di Jin
Peter Szolovits
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Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective
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2018
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Yuan Luo
Peter Szolovits
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Unsupervised Multimodal Representation Learning across Medical Images and Reports
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2018
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Tzu-Ming Harry Hsu
Wei‐Hung Weng
Willie Boag
Matthew B. A. McDermott
Peter Szolovits
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Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability
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2018
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Uma Girkar
Ryo Uchimido
Li-wei H. Lehman
Peter Szolovits
Leo Anthony Celi
Wei‐Hung Weng
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Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
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2018
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Di Jin
Peter Szolovits
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Modeling Mistrust in End-of-Life Care
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2018
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Willie Boag
Harini Suresh
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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Racial Disparities and Mistrust in End-of-Life Care
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2018
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Willie Boag
Harini Suresh
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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Deep Reinforcement Learning for Sepsis Treatment
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2017
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Aniruddh Raghu
Matthieu Komorowski
Imran Ahmed
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data
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2017
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Yuan Luo
Peter Szolovits
Anand S. Dighe
Jason M. Baron
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NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
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2017
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Franck Dernoncourt
Ji Young Lee
Peter Szolovits
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MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
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2017
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Ji Young Lee
Franck Dernoncourt
Peter Szolovits
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Neural Networks for Joint Sentence Classification in Medical Paper Abstracts
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2017
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Franck Dernoncourt
Ji Young Lee
Peter Szolovits
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The Use of Autoencoders for Discovering Patient Phenotypes
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2017
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Harini Suresh
Peter Szolovits
Marzyeh Ghassemi
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Transfer Learning for Named-Entity Recognition with Neural Networks
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2017
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Ji Young Lee
Franck Dernoncourt
Peter Szolovits
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Clinical Intervention Prediction and Understanding using Deep Networks
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2017
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Harini Suresh
Nathan Hunt
Alistair E. W. Johnson
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
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2017
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Aniruddh Raghu
Matthieu Komorowski
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients
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2017
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Wei‐Hung Weng
Mingwu Gao
Ze He
Susu Yan
Peter Szolovits
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MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
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2017
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Ji Young Lee
Franck Dernoncourt
Peter Szolovits
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NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
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2017
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Franck Dernoncourt
Ji Young Lee
Peter Szolovits
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+
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NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
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2017
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Franck Dernoncourt
Ji-Young Lee
Peter Szolovits
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MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
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2017
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Ji Young Lee
Franck Dernoncourt
Peter Szolovits
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Deep Reinforcement Learning for Sepsis Treatment
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2017
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Aniruddh Raghu
Matthieu Komorowski
Imran Ahmed
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
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Neural Networks for Joint Sentence Classification in Medical Paper Abstracts
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2016
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Franck Dernoncourt
Ji Young Lee
Peter Szolovits
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Feature-Augmented Neural Networks for Patient Note De-identification
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2016
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Ji Young Lee
Franck Dernoncourt
Özlem Uzuner
Peter Szolovits
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De-identification of patient notes with recurrent neural networks
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2016
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Franck Dernoncourt
Ji Young Lee
Özlem Uzuner
Peter Szolovits
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De-identification of Patient Notes with Recurrent Neural Networks
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2016
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Franck Dernoncourt
Ji Young Lee
Özlem Uzuner
Peter Szolovits
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Tensor factorization toward precision medicine
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2016
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Yuan Luo
Fei Wang
Peter Szolovits
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Feature-Augmented Neural Networks for Patient Note De-identification
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2016
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Ji Young Lee
Franck Dernoncourt
Özlem Uzuner
Peter Szolovits
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Neural Networks for Joint Sentence Classification in Medical Paper Abstracts
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2016
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Franck Dernoncourt
Ji-Young Lee
Peter Szolovits
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De-identification of Patient Notes with Recurrent Neural Networks
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2016
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Franck Dernoncourt
Ji-Young Lee
Özlem Uzuner
Peter Szolovits
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Development of phenotype algorithms using electronic medical records and incorporating natural language processing
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2015
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Katherine P. Liao
Tianrun Cai
Guergana Savova
Sue Murphy
Elizabeth W. Karlson
Ashwin N. Ananthakrishnan
Vivian S. Gainer
Stanley Y. Shaw
Zongqi Xia
Peter Szolovits
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Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text
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2015
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Yuan Luo
Xin Yu
Ephraim P. Hochberg
Rohit Joshi
Özlem Uzuner
Peter Szolovits
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Global Conditioning for Probabilistic Inference in Belief Networks
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2013
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Ross D. Shachter
Stig Kjær Andersen
Peter Szolovits
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Global Conditioning for Probabilistic Inference in Belief Networks
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2013
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Ross D. Shachter
Stig Kjær Andersen
Peter Szolovits
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Marco Ramoni: an appreciation of academic achievement
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2011
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Isaac S. Kohane
Peter Szolovits
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Marco Ramoni: an appreciation of academic achievement
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2011
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Isaac S. Kohane
Peter Szolovits
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A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza
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2006
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Mojdeh Mohtashemi
Peter Szolovits
James Dunyak
Kenneth D. Mandl
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A Bayesian dynamic model for influenza surveillance
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2006
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Paola Sebastiani
Kenneth D. Mandl
Peter Szolovits
Isaac S. Kohane
Marco Ramoni
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Global Conditioning for Probabilistic Inference in Belief Networks
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1994
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Ross D. Shachter
Stig Kjær Andersen
Peter Szolovits
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