Peter Szolovits

ORCID

Publication Activity (10 Years)

Years Active: 1973-2024
Publications (10 Years): 104

Top Venues

CoRR

J. Am. Medical Informatics Assoc.

MLHC

AMIA

Publications

Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron
Using machine learning to develop smart reflex testing protocols. J. Am. Medical Informatics Assoc. 31 (2) (2024)
Matthew B. A. McDermott, Brendan Yap, Peter Szolovits, Marinka Zitnik
Structure-inducing pre-training. Nat. Mac. Intell. 5 (6) (2023)
Elena Sergeeva, Anastasia Sergeeva, Huiyun Tang, Kerstin Bongard-Blanchy, Peter Szolovits
Right, No Matter Why: AI Fact-checking and AI Authority in Health-related Inquiry Settings. CoRR (2023)
Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer
Do We Still Need Clinical Language Models? CHIL (2023)
Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron
Using Machine Learning to Develop Smart Reflex Testing Protocols. CoRR (2023)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30 (12) (2023)
Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer
Do We Still Need Clinical Language Models? CoRR (2023)
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, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
Learning to Ask Like a Physician. CoRR (2022)
Jennifer J. Liang, Eric Lehman, Ananya Iyengar, Diwakar Mahajan, Preethi Raghavan, Cindy Y. Chang, Peter Szolovits
Towards Generalizable Methods for Automating Risk Score Calculation. BioNLP@ACL (2022)
William Boag, Mercy Oladipo, Peter Szolovits
EHR Safari: Data is Contextual. MLHC (2022)
Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi
A comprehensive EHR timeseries pre-training benchmark. CHIL (2021)
Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR (2021)
Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Rachita Chandra, Peter Szolovits
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset. BioNLP@NAACL-HLT (2021)
Matthew B. A. McDermott, Brendan Yap, Peter Szolovits, Marinka Zitnik
Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences. CoRR (2021)
Harrison G. Zhang, Boris P. Hejblum, Griffin M. Weber, Nathan P. Palmer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Katherine P. Liao, Isaac S. Kohane, Tianxi Cai
ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. J. Am. Medical Informatics Assoc. 28 (12) (2021)
Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits
Adversarial Contrastive Pre-training for Protein Sequences. CoRR (2021)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Rui Zhang, John D. Osborne, Masoud Rouhizadeh, Yongqun He, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). CoRR (2021)
Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits
emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. AMIA (2021)
Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) (2020)
Aaron Sonabend W., Junwei Lu, Leo A. Celi, Tianxi Cai, Peter Szolovits
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. CoRR (2020)
So Yeon Min, Preethi Raghavan, Peter Szolovits
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. CoRR (2020)
Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits
Entity-Enriched Neural Models for Clinical Question Answering. CoRR (2020)
Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output. MLHC (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. CoRR (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. AAAI (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation. CoRR (2020)
So Yeon Min, Preethi Raghavan, Peter Szolovits
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. AKBC (2020)
So Yeon Min, Preethi Raghavan, Peter Szolovits
Advancing Seq2seq with Joint Paraphrase Learning. ClinicalNLP@EMNLP (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. ACL (2020)
Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. NeurIPS (2020)
Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output. CoRR (2020)
Di Jin, Peter Szolovits
Advancing PICO element detection in biomedical text via deep neural networks. Bioinform. 36 (12) (2020)
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. CoRR (2020)
Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR (2020)
Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data. CoRR (2020)
Matthew B. A. McDermott, Jennifer Wang, Wen-Ning Zhao, Steven Sheridan, Peter Szolovits, Isaac S. Kohane, Stephen J. Haggarty, Roy H. Perlis
Deep Learning Benchmarks on L1000 Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits
Entity-Enriched Neural Models for Clinical Question Answering. BioNLP (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment. CoRR (2019)
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
Clinically Accurate Chest X-Ray Report Generation. MLHC (2019)
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains. WNLP@ACL (2019)
Wei-Hung Weng, Peter Szolovits
Representation Learning for Electronic Health Records. CoRR (2019)
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
REflex: Flexible Framework for Relation Extraction in Multiple Domains. CoRR (2019)
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
REflex: Flexible Framework for Relation Extraction in Multiple Domains. BioNLP@ACL (2019)
Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Yichi Zhang, Yuk-Lam Ho, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Christopher J. O'Donnell, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Elena Sergeeva, Henghui Zhu, Amir Tahmasebi, Peter Szolovits
Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text. LOUHI@EMNLP (2019)
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
Clinically Accurate Chest X-Ray Report Generation. CoRR (2019)
William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits
Baselines for Chest X-Ray Report Generation. ML4H@NeurIPS (2019)
Wei-Hung Weng, Yu-An Chung, Peter Szolovits
Unsupervised Clinical Language Translation. KDD (2019)
Wei-Hung Weng, Yu-An Chung, Peter Szolovits
Unsupervised Clinical Language Translation. CoRR (2019)
Mengxin Sun, Jason Baron, Anand Dighe, Peter Szolovits, Richard G. Wunderink, Tamara Isakova, Yuan Luo
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements. MedInfo (2019)
Di Jin, Peter Szolovits
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. CoRR (2018)
Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Racial Disparities and Mistrust in End-of-Life Care. MLHC (2018)
Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits
Unsupervised Multimodal Representation Learning across Medical Images and Reports. CoRR (2018)
Yuan Luo, Peter Szolovits
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective. CoRR (2018)
Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Lauren Costa, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu, Tianxi Cai
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. AMIA (2018)
Yuan Luo, Peter Szolovits, Anand Dighe, Jason Baron
3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data. J. Am. Medical Informatics Assoc. 25 (6) (2018)
Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. CoRR (2018)
Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi
Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs. AAAI (2018)
Di Jin, Peter Szolovits
Advancing PICO Element Detection in Medical Text via Deep Neural Networks. CoRR (2018)
Wei-Hung Weng, Peter Szolovits
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment. CoRR (2018)
Di Jin, Peter Szolovits
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. EMNLP (2018)
Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai
Enabling phenotypic big data with PheNorm. J. Am. Medical Informatics Assoc. 25 (1) (2018)
Di Jin, Peter Szolovits
PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks. BioNLP (2018)
Yuan Luo, Peter Szolovits
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective. BIBM (2018)
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
Transfer Learning for Named-Entity Recognition with Neural Networks. LREC (2018)
Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Modeling Mistrust in End-of-Life Care. CoRR (2018)
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. CoRR (2018)
Willie Boag, Tristan Naumann, Peter Szolovits
Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes. CoRR (2018)
Yuan Luo, Yu Cheng, Özlem Uzuner, Peter Szolovits, Justin Starren
Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes. J. Am. Medical Informatics Assoc. 25 (1) (2018)
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach. CoRR (2017)
Sheng Yu, Abhishek Chakrabortty, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai
Surrogate-assisted feature extraction for high-throughput phenotyping. J. Am. Medical Informatics Assoc. 24 (e1) (2017)
Franck Dernoncourt, Ji Young Lee, Özlem Uzuner, Peter Szolovits
De-identification of patient notes with recurrent neural networks. J. Am. Medical Informatics Assoc. 24 (3) (2017)
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks. CoRR (2017)
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
Transfer Learning for Named-Entity Recognition with Neural Networks. CoRR (2017)
Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi
Deep Reinforcement Learning for Sepsis Treatment. CoRR (2017)
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks. CoRR (2017)
Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Clinical Intervention Prediction and Understanding using Deep Networks. CoRR (2017)
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks. EMNLP (System Demonstrations) (2017)
Harini Suresh, Peter Szolovits, Marzyeh Ghassemi
The Use of Autoencoders for Discovering Patient Phenotypes. CoRR (2017)
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks. SemEval@ACL (2017)
Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A. Celi, Peter Szolovits, Finale Doshi-Velez
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. J. Am. Medical Informatics Assoc. 24 (3) (2017)
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. MLHC (2017)
Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits, Henry C. Chueh
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach. BMC Medical Informatics Decis. Mak. 17 (1) (2017)
Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Clinical Intervention Prediction and Understanding with Deep Neural Networks. MLHC (2017)
Wei-Hung Weng, Mingwu Gao, Ze He, Susu Yan, Peter Szolovits
Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients. CoRR (2017)
Jen J. Gong, Tristan Naumann, Peter Szolovits, John V. Guttag
Predicting Clinical Outcomes Across Changing Electronic Health Record Systems. KDD (2017)
Yuan Luo, Fei Wang, Peter Szolovits
Tensor factorization toward precision medicine. Briefings Bioinform. 18 (3) (2017)
Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai
High-throughput Phenotyping via Denoised Normal Mixture Transformation. AMIA (2017)
Yuan Luo, Özlem Uzuner, Peter Szolovits
Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations. Briefings Bioinform. 18 (1) (2017)
Marzyeh Ghassemi, Mike Wu, Michael C. Hughes, Peter Szolovits, Finale Doshi-Velez
Predicting intervention onset in the ICU with switching state space models. CRI (2017)
Yuan Luo, Özlem Uzuner, Peter Szolovits
Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations. Briefings Bioinform. 18 (4) (2017)
Mark Hoogendoorn, Thomas Berger, Ava Schulz, Timo Stolz, Peter Szolovits
Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations. IEEE J. Biomed. Health Informatics 21 (5) (2017)
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
Neural Networks for Joint Sentence Classification in Medical Paper Abstracts. EACL (2) (2017)
Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, Peter Szolovits
Feature-Augmented Neural Networks for Patient Note De-identification. CoRR (2016)
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
Neural Networks for Joint Sentence Classification in Medical Paper Abstracts. CoRR (2016)
Mark Hoogendoorn, Peter Szolovits, Leon M. G. Moons, Mattijs E. Numans
Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer. Artif. Intell. Medicine 69 (2016)
Mark Hoogendoorn, Ali el Hassouni, Kwongyen Mok, Marzyeh Ghassemi, Peter Szolovits
Prediction using patient comparison vs. modeling: A case study for mortality prediction. EMBC (2016)
Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, Peter Szolovits
Feature-Augmented Neural Networks for Patient Note De-identification. ClinicalNLP@COLING 2016 (2016)
Yuan Luo, Yu Xin, Rohit Joshi, Leo A. Celi, Peter Szolovits
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements. AAAI (2016)
Franck Dernoncourt, Ji Young Lee, Özlem Uzuner, Peter Szolovits
De-identification of Patient Notes with Recurrent Neural Networks. CoRR (2016)

Peter Szolovits.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Peter Szolovits