Peter Szolovits

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An Overview of OWL, a language for knowledge representation

Peter Szolovits, Lowell B Hawkinson, William A. Martin, 1977 .

Prediction using patient comparison vs. modeling: A case study for mortality prediction

Mark Hoogendoorn, Peter Szolovits, Ali el Hassouni, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Entity-Enriched Neural Models for Clinical Question Answering

Peter Szolovits, Wei-Hung Weng, Bhanu Pratap Singh Rawat, 2020, BIONLP.

PI-in-a-Box: A Knowledge-Based System for Space Science Experimentation

Peter Szolovits, Silvano Colombano, Richard Frainier, 1993, AI Mag..

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment pdf

Peter Szolovits, Wei-Hung Weng, 2018, ArXiv.

Automatic analysis of systems at steady-state: handling iterative dynamic systems and parameter uncertainty

Peter Szolovits, Alexander Sen Yeh, Peter Szolovits, 1990 .

Efficient Algebraic Interval Queries on Biomedical Sequence Annotations

Peter Szolovits, Yuan Luo, 2014 .

Artificial Intelligence and Medicine

Peter Szolovits, Peter Szolovits, 2019, Artificial Intelligence in Medicine.

Adaptive Knowledge-Based Monitoring for Information Assurance

Jon Doyle, Peter Szolovits, William J. Long, 1998 .

Quantifying Information Redundancy in Common Laboratory Tests

Peter Szolovits, Yuan Luo, Jason Baron, 2014, AMIA.

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database

Peter Szolovits, Mike Wu, Marzyeh Ghassemi, 2017, J. Am. Medical Informatics Assoc..

First Steps Towards Implementing an International Training Program in Medical Informatics: The Brazil/USA Project

Aziz A. Boxwala, Robert A. Greenes, Lucila Ohno-Machado, 2000, AMIA.

Feature-Augmented Neural Networks for Patient Note De-identification

Franck Dernoncourt, Peter Szolovits, Özlem Uzuner, 2016, ClinicalNLP@COLING 2016.

An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge

Daniel Nilsson, Peter Szolovits, Karen Eilbeck, 2014, Genome Biology.

De-identification of patient notes with recurrent neural networks

Franck Dernoncourt, Peter Szolovits, Özlem Uzuner, 2016, J. Am. Medical Informatics Assoc..

Multilingual Named-Entity Recognition from Parallel Corpora

Peter Szolovits, Pierre Zweigenbaum, Özlem Uzuner, 2013, CLEF.

Knowledge-Based Systems: A Survey

Peter Szolovits, Peter Szolovits, 1986, On Knowledge Base Management Systems.

Implementing a Portable Clinical NLP System with a Common Data Model -- a Lisp Perspective

Peter Szolovits, Yuan Luo, Peter Szolovits, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Using causal reasoning in gait analysis

Peter Szolovits, Tom Bylander, David E. Hirsch, 1989, Appl. Artif. Intell..

A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation

Di Jin, Peter Szolovits, Joey Tianyi Zhou, 2020 .

The Personal Internetworked Notary and Guardian

Peter Szolovits, Atul J. Butte, Alberto Riva, 2001, Int. J. Medical Informatics.

ICU Acuity: Real-time Models versus Daily Models

Peter Szolovits, Caleb W. Hug, 2009, AMIA.

TeleMedMail: Free Software to Facilitate Telemedicine in Developing Countries

Peter Szolovits, Hamish S. F. Fraser, Darius Jazayeri, 2001, MedInfo.

Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text

Peter Szolovits, Yuan Luo, Özlem Uzuner, 2015, J. Am. Medical Informatics Assoc..

Brand X: LISP Suport for Semantic Networks

Peter Szolovits, William A. Martin, 1981, IJCAI.

MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks pdf

Franck Dernoncourt, Peter Szolovits, Ji Young Lee, 2017, *SEMEVAL.

Research directions in computer science: an MIT perspective

Peter Szolovits, Ronald L. Rivest, Albert R. Meyer, 1991 .

Health information identification and de-identification toolkit

Peter Szolovits, Isaac S. Kohane, Hongmei Dong, 1998, AMIA.

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction pdf

Anna Rumshisky, Peter Szolovits, Saurabh Kulshreshtha, 2018, ArXiv.

Using UMLS for Word Sense Disambiguation in Clinical Notes

Anna Rumshisky, Peter Szolovits, Özlem Uzuner, 2012, American Medical Informatics Association Annual Symposium.

MARIKA - A model revision system using qualitative analysis of simulations. [of human orientation system]

Peter Szolovits, Nicolas Groleau, Silvano Colombano, 1993 .

Patient-specific learning in real time for adaptive monitoring in critical care

Ying Zhang, Peter Szolovits, Y. Zhang, 2008, J. Biomed. Informatics.

Automatic lymphoma classification with sentence subgraph mining from pathology reports.

Peter Szolovits, Yuan Luo, Ephraim P. Hochberg, 2014, Journal of the American Medical Informatics Association : JAMIA.

AI for the M.D

Peter Szolovits, 2019, Science.

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment pdf

Peter Szolovits, Di Jin, Joey Tianyi Zhou, 2019, ArXiv.

Unsupervised Clinical Language Translation

Peter Szolovits, Wei-Hung Weng, Yu-An Chung, 2019, KDD.

An intelligent listening framework for capturing encounter notes from a doctor-patient dialog

Peter Szolovits, Jeffrey G. Klann, 2008 .

MIMIC-III, a freely accessible critical care database

Peter Szolovits, Leo Anthony Celi, Mengling Feng, 2016, Scientific Data.

The REL animated film language

Peter Szolovits, Frederick B. Thompson, Norton Greenfeld, 1974, SIGGRAPH '74.

Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach

Peter Szolovits, Marzyeh Ghassemi, Leo Anthony Celi, 2017, MLHC.

High-Performance Knowledge Base Support for Monitoring, Analysis, and Interpretation Tasks

Jon Doyle, Peter Szolovits, Peter Szolovits, 2002 .

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability pdf

Peter Szolovits, Li-Wei H. Lehman, Wei-Hung Weng, 2018, ArXiv.

Appropriate Technology for Telemedicine in Developing Countries

Peter Szolovits, Hamish S. F. Fraser, Darius Jazayeri, 2000, AMIA.

A de-identifier for medical discharge summaries

Peter Szolovits, Yuan Luo, Özlem Uzuner, 2008, Artif. Intell. Medicine.

Evaluating the state-of-the-art in automatic de-identification.

Peter Szolovits, Yuan Luo, Özlem Uzuner, 2007, Journal of the American Medical Informatics Association : JAMIA.

3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data

Peter Szolovits, Yuan Luo, Jason Baron, 2017, J. Am. Medical Informatics Assoc..

High-throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS

Peter Szolovits, Jiehuan Sun, Isaac S. Kohane, 2019, bioRxiv.

Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes

Yu Cheng, Peter Szolovits, Yuan Luo, 2018, J. Am. Medical Informatics Assoc..

MCORES: a system for noun phrase coreference resolution for clinical records

Peter Szolovits, Özlem Uzuner, Andreea Bodnari, 2012, J. Am. Medical Informatics Assoc..

A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains

Peter Szolovits, Matthew McDermott, Geeticka Chauhan, 2019, WNLP@ACL.

Secure Health Information Sharing System: SHARE

Min Wu, Peter Szolovits, Lik Mui, 2001, AMIA.

The development of clinical expertise in the computer-The evolution of clinical decision-making programs at MIT (Abstract of presentation)

Peter Szolovits, Peter Szolovits, 1899, AFIPS National Computer Conference.

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach

Kavishwar B. Wagholikar, Peter Szolovits, Alexa T. McCray, 2017, BMC Medical Informatics and Decision Making.

Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs

Peter Szolovits, Marzyeh Ghassemi, Harini Suresh, 2018, AAAI.

A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data pdf

Peter Szolovits, University of Toronto, MIT, 2020, ArXiv.

Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer

Peter Szolovits, Mark Hoogendoorn, Mattijs E. Numans, 2016, Artif. Intell. Medicine.

Advancing PICO Element Detection in Medical Text via Deep Neural Networks

Peter Szolovits, Di Jin, Peter Szolovits, 2018, Bioinform..

Modeling Knowledge of the Patient in Acid-Base and Electrolyte Disorders

Peter Szolovits, Ramesh S. Patil, William B. Schwartz, 2019, Artificial Intelligence in Medicine.

TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces pdf

Peter Szolovits, Preethi Raghavan, So Yeon Min, 2019, AKBC.

Automated de-identification of free-text medical records

Peter Szolovits, Li-Wei H. Lehman, William J. Long, 2008, BMC Medical Informatics Decis. Mak..

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation pdf

Junwei Lu, Peter Szolovits, Leo A. Celi, 2020, NeurIPS.

Transfer Learning for Named-Entity Recognition with Neural Networks pdf

Franck Dernoncourt, Peter Szolovits, Ji Young Lee, 2017, LREC.

Confidentiality of Medical Records in the W3-EMRS Project

Peter Szolovits, Charles Safran, David M. Rind, 1997, AMIA.

Report of an IEEE Task Force-An IEEE Opinion on Research Needs for Biomedical Engineerng Systems

Michael R. Neuman, Peter Szolovits, Lawrence W. Schneider, 1986, IEEE Transactions on Biomedical Engineering.

Modeling Mistrust in End-of-Life Care pdf

Peter Szolovits, Marzyeh Ghassemi, Leo Anthony Celi, 2018, ArXiv.

What’s in a Note? Unpacking Predictive Value in Clinical Note Representations

Peter Szolovits, Tristan Naumann, Willie Boag, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements

Peter Szolovits, Yuan Luo, Jason Baron, 2019, MedInfo.

Tensor factorization toward precision medicine

Fei Wang, Peter Szolovits, Yuan Luo, 2016, Briefings Bioinform..

Unsupervised Multimodal Representation Learning across Medical Images and Reports pdf

Peter Szolovits, Wei-Hung Weng, Tzu-Ming Harry Hsu, 2018, ArXiv.

Representation Learning for Electronic Health Records pdf

Peter Szolovits, Wei-Hung Weng, Peter Szolovits, 2019, ArXiv.

Adding a Medical Lexicon to an English Parser

Peter Szolovits, Peter Szolovits, 2003, AMIA.

Causal Understanding of Patient Illness in Medical Diagnosis

Peter Szolovits, Ramesh S. Patil, William B. Schwartz, 1981, IJCAI.

Detection of intrusion across multiple sensors

Jon Doyle, Peter Szolovits, William J. Long, 2003, SPIE Defense + Commercial Sensing.

Decision support from local data: Creating adaptive order menus from past clinician behavior

Stephen M. Downs, Peter Szolovits, Gunther Schadow, 2013, J. Biomed. Informatics.

Using Machine Learning to Predict Laboratory Test Results.

Peter Szolovits, Yuan Luo, Anand S Dighe, 2016, American journal of clinical pathology.

Surrogate-assisted feature extraction for high-throughput phenotyping

Peter Szolovits, Sheng Yu, Tianxi Cai, 2016, J. Am. Medical Informatics Assoc..

Comment: What Is a Grid?

Peter Szolovits, Peter Szolovits, 2007, J. Am. Medical Informatics Assoc..

Advancing Seq2seq with Joint Paraphrase Learning

Peter Szolovits, Preethi Raghavan, So Yeon Min, 2020, CLINICALNLP.

Predicting intervention onset in the ICU with switching state space models

Peter Szolovits, Mike Wu, Finale Doshi-Velez, 2017, CRI.

An expert system to advise astronauts during experiments: The protocol manager module

Peter Szolovits, Silvano Colombano, Laurence R. Young, 1989 .

High-throughput Phenotyping via Denoised Normal Mixture Transformation

Peter Szolovits, Sheng Yu, Tianxi Cai, 2017, AMIA.

The coming of age of artificial intelligence in medicine

Peter Szolovits, Vimla L. Patel, Edward H. Shortliffe, 2009, Artif. Intell. Medicine.

Care transitions as opportunities for clinicians to use data exchange services: how often do they occur?

Steven R. Simon, David W. Bates, Peter Szolovits, 2011, J. Am. Medical Informatics Assoc..

Clinical Intervention Prediction and Understanding using Deep Networks pdf

Peter Szolovits, Marzyeh Ghassemi, Leo Anthony Celi, 2017, ArXiv.

A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza.

Peter Szolovits, Mojdeh Mohtashemi, Kenneth D Mandl, 2006, Journal of theoretical biology.

Application of Information Technology: A WWW Implementation of National Recommendations for Protecting Electronic Health Information

Peter Szolovits, Charles Safran, David M. Rind, 1997, J. Am. Medical Informatics Assoc..

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS

Peter Szolovits, Jiehuan Sun, Isaac S. Kohane, 2018, AMIA.

Brand X Manual

Peter Szolovits, William A. Martin, 1980 .

An intelligent listening framework for capturing encounter notes from a doctor-patient dialog

Peter Szolovits, Jeffrey G. Klann, Peter Szolovits, 2008, 2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops.

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Peter Szolovits, Di Jin, Joey Tianyi Zhou, 2020, AAAI.

The Architecture of MAITA A Tool For Monitoring, Analysis, and Interpretation

Jon Doyle, Peter Szolovits, Isaac S. Kohane, 2004 .

Syntactically-Informed Semantic Category Recognizer for Discharge Summaries

Peter Szolovits, Özlem Uzuner, Tawanda C. Sibanda, 2006, AMIA.

High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP)

Peter Szolovits, Sheng Yu, Jiehuan Sun, 2019, Nature Protocols.

Application of Technology: Building National Electronic Medical Record Systems via the World Wide Web

Philip Greenspun, Peter Szolovits, Isaac S. Kohane, 1996, J. Am. Medical Informatics Assoc..

Research and applications: Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods

Anna Rumshisky, Peter Szolovits, Özlem Uzuner, 2014, J. Am. Medical Informatics Assoc..

Unfolding physiological state: mortality modelling in intensive care units

Anna Rumshisky, Peter Szolovits, Finale Doshi-Velez, 2014, KDD.

Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements

Peter Szolovits, Yuan Luo, Yu Xin, 2016, AAAI.

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment pdf

Jacob Andreas, Polina Golland, Peter Szolovits, 2020, MICCAI.

The equivalence of exact methods for probabilistic inference on belief networks

Ross D. Shachter, Peter Szolovits, Stig Kjær Andersen, 1991 .

Pedigree Analysis for Genetic Counseling

Peter Szolovits, S. p. Pauker, Peter Szolovits, 1992 .

Challenges in Synthesizing Surrogate PHI in Narrative EMRs

Peter Szolovits, Özlem Uzuner, Amber Stubbs, 2015, Medical Data Privacy Handbook.

Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources

Peter Szolovits, Sheng Yu, Tianxi Cai, 2015, J. Am. Medical Informatics Assoc..

Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes pdf

Peter Szolovits, Tristan Naumann, Willie Boag, 2018, ArXiv.

Categorical and Probabilistic Reasoning in Medical Diagnosis

Peter Szolovits, Stephen G. Pauker, S. Pauker, 1990, Artif. Intell..

Title: A De-identifier for Medical Discharge Summaries

Peter Szolovits, Yuan Luo, Özlem Uzuner, 2007 .

Predicting Clinical Outcomes Across Changing Electronic Health Record Systems

Peter Szolovits, John V. Guttag, Tristan Naumann, 2017, KDD.

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text

Peter Szolovits, Amir Tahmasebi, Elena Sergeeva, 2019, EMNLP.

Ratings in Distributed Systems: A Bayesian Approach

Peter Szolovits, Lik Mui, Mojdeh Mohtashemi, 2002 .

Racial Disparities and Mistrust in End-of-Life Care

Peter Szolovits, Marzyeh Ghassemi, Leo Anthony Celi, 2018, MLHC.

Informatics Support for the Management of Drug Resistant Tuberculosis in Peru and Russia

Peter Szolovits, Hamish S. F. Fraser, Darius Jazayeri, 2001, AMIA.

REflex: Flexible Framework for Relation Extraction in Multiple Domains

Peter Szolovits, Geeticka Chauhan, Matthew B. A. McDermott, 2019, BioNLP@ACL.

Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records

Peter Szolovits, Sheng Yu, Tianxi Cai, 2015, AMIA.

Information Acquisition in Diagnosis

Peter Szolovits, Ramesh S. Patil, William B. Schwartz, 1982, AAAI.

Categorical and Probabilistic Reasoning in Medicine Revisited

Peter Szolovits, Stephen G. Pauker, S. Pauker, 1993, Artif. Intell..

6.001 Structure and Interpretation of Computer Programs, Fall 2002

Peter Szolovits, Duane Boning, Tomas Lozano-Perez, 2002 .

Artificial Intelligence in Medicine

Peter Szolovits, Peter Szolovits, 1982 .

A Model for Distributed Vocabulary Translation

Peter Szolovits, Isaac S. Kohane, Jiri Schindler, 1996 .

Representing Medical Knowledge in a Terminological Language is Difficult

Peter Szolovits, Ramesh S. Patil, Ira J. Haimowits, 1988 .

Global Conditioning for Probabilistic Inference in Belief Networks pdf

Ross D. Shachter, Peter Szolovits, Stig K. Andersen, 1994, UAI.

Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations

Peter Szolovits, Yuan Luo, Özlem Uzuner, 2017, Briefings Bioinform..

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles pdf

Di Jin, Peter Szolovits, Joey Tianyi Zhou, 2020, ACL.

The Use of Autoencoders for Discovering Patient Phenotypes pdf

Peter Szolovits, Marzyeh Ghassemi, Harini Suresh, 2017, ArXiv.

A Java-based multi-institutional medical information retrieval system

Karen Bradshaw, Peter Szolovits, Kang Wang, 1997, AMIA.

Policy Forum: Against Simple Universal Health-Care Identifiers

Peter Szolovits, Isaac S. Kohane, 1994, J. Am. Medical Informatics Assoc..

A Visual Method for Input of Uncertain Time-Oriented Data

Peter Szolovits, Manish Goyal, 1997, AMIA.

High-throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS

Peter Szolovits, Jie Huang, Jiehuan Sun, 2019 .

What Is a Knowledge Representation?

Peter Szolovits, Randall Davis, Howard E. Shrobe, 1993, AI Mag..

Clinically Accurate Chest X-Ray Report Generation pdf

Peter Szolovits, Marzyeh Ghassemi, Wei-Hung Weng, 2019, MLHC.

Portable computing - A fielded interactive scientific application in a small off-the-shelf package

Peter Szolovits, Nicolas Groleau, Silvano Colombano, 1993 .

Trendfinder: automated detection of alarmable trends

Peter Szolovits, Christine L. Tsien, Peter Szolovits, 2000 .

Agile monitoring for cyber defense

Jon Doyle, Peter Szolovits, William J. Long, 2001, Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01.

PI in the sky: The astronaut science advisor on SLS-2

Peter Szolovits, Nicolas Groleau, Silvano Colombano, 1994 .

Collaborative sanctioning: applications in restaurant recommendations based on reputation

Peter Szolovits, Lik Mui, Cheewee Ang, 2001, AGENTS '01.

Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records

Peter Szolovits, Yuan Luo, Peter Szolovits, 2016, Biomedical informatics insights.

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks pdf

Franck Dernoncourt, Peter Szolovits, Ji Young Lee, 2017, EMNLP.

Possibilities for Healthcare Computing

Peter Szolovits, Peter Szolovits, 2011, Journal of Computer Science and Technology.

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts

Franck Dernoncourt, Peter Szolovits, Ji Young Lee, 2017, EACL.

Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations

Mark Hoogendoorn, Peter Szolovits, Thomas Berger, 2017, IEEE Journal of Biomedical and Health Informatics.

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts pdf

Peter Szolovits, Di Jin, Peter Szolovits, 2018, EMNLP.

Interacting with eHealth: towards grand challenges for HCI

Ben Shneiderman, Desney S. Tan, Ryen W. White, 2009, CHI Extended Abstracts.

Prognostic Physiology: Modeling Patient Severity in Intensive Care Units Using Radial Domain Folding

Peter Szolovits, Rohit Joshi, Peter Szolovits, 2012, AMIA.

Deep Reinforcement Learning for Sepsis Treatment pdf

Peter Szolovits, Marzyeh Ghassemi, Imran Ahmed, 2017, ArXiv.

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams pdf

Di Jin, Peter Szolovits, Wei-Hung Weng, 2020, Applied Sciences.

Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients pdf

Peter Szolovits, Ze He, Wei-Hung Weng, 2017, ArXiv.

On Widening the Scope of Attack Recognition Languages

Jon Doyle, Peter Szolovits, Howard Shrobe, 2000 .

Reasoning with time-dependent data

Peter Szolovits, Thomas A. Russ, Peter Szolovits, 1991 .

Copy Fees and Patients' Rights to Obtain a Copy of Their Medical Records: From Law to Reality

Peter Szolovits, Gianluigi Fioriglio, Peter Szolovits, 2005, AMIA.

Expert systems tools and techniques: past, present and future

Peter Szolovits, Peter Szolovits, 1990 .

Deep Learning Benchmarks on L1000 Gene Expression Data

Peter Szolovits, Jennifer Wang, Isaac Kohane, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Marco Ramoni: an appreciation of academic achievement

Peter Szolovits, Isaac S. Kohane, I. Kohane, 2011, J. Am. Medical Informatics Assoc..

Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes

Peter Szolovits, Tianxi Cai, Boris P Hejblum, 2019, Scientific Data.

A comparison of CLIPS- and LISP-based approaches to the development of a real-time expert system

Peter Szolovits, Nicolas Groleau, Silvano Colombano, 1990 .

A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data

Peter Szolovits, David A. Clifton, Marzyeh Ghassemi, 2015, AAAI.

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation pdf

Di Jin, Peter Szolovits, Joey Tianyi Zhou, 2020, ArXiv.

PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks

Peter Szolovits, Di Jin, Peter Szolovits, 2018, BioNLP.

Clinical Intervention Prediction and Understanding with Deep Neural Networks

Peter Szolovits, Marzyeh Ghassemi, Leo Anthony Celi, 2017, MLHC.

Guardian Angel: Patient-Centered Health Information Systems

Jon Doyle, Peter Szolovits, William J. Long, 1994 .

Specialized languages: an applications methodology

Peter Szolovits, Frederick B. Thompson, Richard H. Bigelow, 1973, AFIPS National Computer Conference.

Abstract 448: Predicting Blood Pressure Response to Fluid Bolus Therapy Using Neural Networks with Clinical Interpretability

Peter Szolovits, Wei-Hung Weng, Leo Anthony Celi, 2019, Circulation Research.

Enabling phenotypic big data with PheNorm

Peter Szolovits, Sheng Yu, Tianxi Cai, 2018, J. Am. Medical Informatics Assoc..

Structure Inducing Pre-Training

Peter Szolovits, Marinka Zitnik, Matthew B. A. McDermott, 2021, 2103.10334.

Adversarial Contrastive Pre-training for Protein Sequences pdf

Peter Szolovits, Matthew B. A. McDermott, Brendan Yap, 2021, ArXiv.

Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences pdf

Peter Szolovits, Marinka Zitnik, Matthew B. A. McDermott, 2021, ArXiv.

A comprehensive EHR timeseries pre-training benchmark

Peter Szolovits, Anna Goldenberg, Marzyeh Ghassemi, 2021, CHIL.

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C) pdf

Christopher G. Chute, Peter Szolovits, Liwei Wang, 2021, ArXiv.

emrKBQA: A Clinical Knowledge-Base Question Answering Dataset

Peter Szolovits, Preethi Raghavan, Diwakar Mahajan, 2021, BIONLP.

What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams

Peter Szolovits, Wei-Hung Weng, Eileen Pan, 2021, Applied Sciences.

Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View

Peter Szolovits, Wei-Hung Weng, Geeticka Chauhan, 2021, WIREs mechanisms of disease.

Peter Szolovits, Tianxi Cai, Shawn N Murphy, 2013, The American Journal of Gastroenterology.

Association between reduced plasma 25-hydroxy vitamin D and increased risk of cancer in patients with inflammatory bowel diseases.

Peter Szolovits, Tianxi Cai, Shawn N Murphy, 2013, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Normalization of Plasma 25-Hydroxy Vitamin D Is Associated with Reduced Risk of Surgery in Crohn’s Disease

Peter Szolovits, Tianxi Cai, Shawn N Murphy, 2013, Inflammatory bowel diseases.

Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension

Peter Szolovits, Tianxi Cai, Mei-Sing Ong, 2017, Circulation research.

An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study

Gil Alterovitz, Peter Szolovits, Leo Anthony Celi, 2008, Critical care.

Genetic Misdiagnoses and the Potential for Health Disparities.

Peter Szolovits, Joseph Loscalzo, Isaac S Kohane, 2016, The New England journal of medicine.

Genetic basis of autoantibody positive and negative rheumatoid arthritis risk in a multi-ethnic cohort derived from electronic health records.

Peter Szolovits, Tianxi Cai, Shawn N Murphy, 2011, American journal of human genetics.

Knowledge Representation of Situation-Specific Clinical Practice Guidelines

Aziz A. Boxwala, Peter Szolovits, Ronilda Lacson, 2000 .