Peter Szolovits

Orcid: 0000-0001-8411-6403

According to our database1, Peter Szolovits authored at least 138 papers between 1973 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Using machine learning to develop smart reflex testing protocols.
J. Am. Medical Informatics Assoc., January, 2024

2023
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., November, 2023

Structure-inducing pre-training.
Nat. Mac. Intell., June, 2023

Right, No Matter Why: AI Fact-checking and AI Authority in Health-related Inquiry Settings.
CoRR, 2023

Do We Still Need Clinical Language Models?
Proceedings of the Conference on Health, Inference, and Learning, 2023

2022
Learning to Ask Like a Physician.
CoRR, 2022

EHR Safari: Data is Contextual.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Towards Generalizable Methods for Automating Risk Score Calculation.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021
ATLAS: an automated association test using probabilistically linked health records with application to genetic studies.
J. Am. Medical Informatics Assoc., 2021

Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View.
CoRR, 2021

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C).
CoRR, 2021

Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences.
CoRR, 2021

Adversarial Contrastive Pre-training for Protein Sequences.
CoRR, 2021

A comprehensive EHR timeseries pre-training benchmark.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

emrKBQA: A Clinical Knowledge-Base Question Answering Dataset.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Deep Learning Benchmarks on L1000 Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.
CoRR, 2020

A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data.
CoRR, 2020

Entity-Enriched Neural Models for Clinical Question Answering.
CoRR, 2020

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation.
CoRR, 2020

Advancing PICO element detection in biomedical text via deep neural networks.
Bioinform., 2020

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Entity-Enriched Neural Models for Clinical Question Answering.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Advancing Seq2seq with Joint Paraphrase Learning.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.
J. Am. Medical Informatics Assoc., 2019

Representation Learning for Electronic Health Records.
CoRR, 2019

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment.
CoRR, 2019

Baselines for Chest X-Ray Report Generation.
Proceedings of the Machine Learning for Health Workshop, 2019

Clinically Accurate Chest X-Ray Report Generation.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Unsupervised Clinical Language Translation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

REflex: Flexible Framework for Relation Extraction in Multiple Domains.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Enabling phenotypic big data with PheNorm.
J. Am. Medical Informatics Assoc., 2018

3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data.
J. Am. Medical Informatics Assoc., 2018

Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
J. Am. Medical Informatics Assoc., 2018

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability.
CoRR, 2018

Unsupervised Multimodal Representation Learning across Medical Images and Reports.
CoRR, 2018

Advancing PICO Element Detection in Medical Text via Deep Neural Networks.
CoRR, 2018

Modeling Mistrust in End-of-Life Care.
CoRR, 2018

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment.
CoRR, 2018

Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes.
CoRR, 2018

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction.
CoRR, 2018

Racial Disparities and Mistrust in End-of-Life Care.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Transfer Learning for Named-Entity Recognition with Neural Networks.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks.
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.
Proceedings of the AMIA 2018, 2018

Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.
IEEE J. Biomed. Health Informatics, 2017

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.
BMC Medical Informatics Decis. Mak., 2017

Surrogate-assisted feature extraction for high-throughput phenotyping.
J. Am. Medical Informatics Assoc., 2017

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.
J. Am. Medical Informatics Assoc., 2017

De-identification of patient notes with recurrent neural networks.
J. Am. Medical Informatics Assoc., 2017

Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients.
CoRR, 2017

Deep Reinforcement Learning for Sepsis Treatment.
CoRR, 2017

The Use of Autoencoders for Discovering Patient Phenotypes.
CoRR, 2017

Clinical Intervention Prediction and Understanding using Deep Networks.
CoRR, 2017

Tensor factorization toward precision medicine.
Briefings Bioinform., 2017

Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations.
Briefings Bioinform., 2017

MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Clinical Intervention Prediction and Understanding with Deep Neural Networks.
Proceedings of the Machine Learning for Health Care Conference, 2017

Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach.
Proceedings of the Machine Learning for Health Care Conference, 2017

Predicting Clinical Outcomes Across Changing Electronic Health Record Systems.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Predicting intervention onset in the ICU with switching state space models.
Proceedings of the Summit on Clinical Research Informatics, 2017

High-throughput Phenotyping via Denoised Normal Mixture Transformation.
Proceedings of the AMIA 2017, 2017

2016
Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer.
Artif. Intell. Medicine, 2016

Prediction using patient comparison vs. modeling: A case study for mortality prediction.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Feature-Augmented Neural Networks for Patient Note De-identification.
Proceedings of the Clinical Natural Language Processing Workshop, 2016

Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.
J. Am. Medical Informatics Assoc., 2015

Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.
J. Am. Medical Informatics Assoc., 2015

Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records.
Proceedings of the AMIA 2015, 2015

A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Challenges in Synthesizing Surrogate PHI in Narrative EMRs.
Proceedings of the Medical Data Privacy Handbook, 2015

2014
Decision support from local data: Creating adaptive order menus from past clinician behavior.
J. Biomed. Informatics, 2014

Research and applications: Automatic lymphoma classification with sentence subgraph mining from pathology reports.
J. Am. Medical Informatics Assoc., 2014

Research and applications: Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods.
J. Am. Medical Informatics Assoc., 2014

Unfolding physiological state: mortality modelling in intensive care units.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Quantifying Information Redundancy in Common Laboratory Tests.
Proceedings of the AMIA 2014, 2014

2013
Multilingual Named-Entity Recognition from Parallel Corpora.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012
MCORES: a system for noun phrase coreference resolution for clinical records.
J. Am. Medical Informatics Assoc., 2012

Using UMLS for Word Sense Disambiguation in Clinical Notes.
Proceedings of the AMIA 2012, 2012

Prognostic Physiology: Modeling Patient Severity in Intensive Care Units Using Radial Domain Folding.
Proceedings of the AMIA 2012, 2012

2011
Possibilities for Healthcare Computing.
J. Comput. Sci. Technol., 2011

Care transitions as opportunities for clinicians to use data exchange services: how often do they occur?
J. Am. Medical Informatics Assoc., 2011

Marco Ramoni: an appreciation of academic achievement.
J. Am. Medical Informatics Assoc., 2011

2009
An intelligent listening framework for capturing encounter notes from a doctor-patient dialog.
BMC Medical Informatics Decis. Mak., 2009

The coming of age of artificial intelligence in medicine.
Artif. Intell. Medicine, 2009

Interacting with eHealth: towards grand challenges for HCI.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

ICU Acuity: Real-time Models versus Daily Models.
Proceedings of the AMIA 2009, 2009

2008
Automated de-identification of free-text medical records.
BMC Medical Informatics Decis. Mak., 2008

Patient-specific learning in real time for adaptive monitoring in critical care.
J. Biomed. Informatics, 2008

A de-identifier for medical discharge summaries.
Artif. Intell. Medicine, 2008

2007
Viewpoint Paper: Evaluating the State-of-the-Art in Automatic De-identification.
J. Am. Medical Informatics Assoc., 2007

Comment: What Is a Grid?
J. Am. Medical Informatics Assoc., 2007

2006
Integrating Data, Models, and Reasoning in Critical Care.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Syntactically-Informed Semantic Category Recognizer for Discharge Summaries.
Proceedings of the AMIA 2006, 2006

2005
Copy Fees and Patients' Rights to Obtain a Copy of Their Medical Records: From Law to Reality.
Proceedings of the AMIA 2005, 2005

2003
Adding a Medical Lexicon to an English Parser.
Proceedings of the AMIA 2003, 2003

2001
The Personal Internetworked Notary and Guardian.
Int. J. Medical Informatics, 2001

TeleMedMail: Free Software to Facilitate Telemedicine in Developing Countries.
Proceedings of the MEDINFO 2001, 2001

Secure Health Information Sharing System: SHARE.
Proceedings of the AMIA 2001, 2001

Informatics Support for the Management of Drug Resistant Tuberculosis in Peru and Russia.
Proceedings of the AMIA 2001, 2001

Collaborative sanctioning: applications in restaurant recommendations based on reputation.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
First Steps Towards Implementing an International Training Program in Medical Informatics: The Brazil/USA Project.
Proceedings of the AMIA 2000, 2000

Appropriate Technology for Telemedicine in Developing Countries.
Proceedings of the AMIA 2000, 2000

1998
Health information identification and de-identification toolkit.
Proceedings of the AMIA 1998, 1998

1997
Application of Information Technology: A WWW Implementation of National Recommendations for Protecting Electronic Health Information.
J. Am. Medical Informatics Assoc., 1997

A Java-based multi-institutional medical information retrieval system.
Proceedings of the AMIA 1997, 1997

Confidentiality of Medical Records in the W3-EMRS Project.
Proceedings of the AMIA 1997, 1997

A Visual Method for Input of Uncertain Time-Oriented Data.
Proceedings of the AMIA 1997, 1997

1996
Application of Technology: Building National Electronic Medical Record Systems via the World Wide Web.
J. Am. Medical Informatics Assoc., 1996

1994
Policy Forum: Against Simple Universal Health-Care Identifiers.
J. Am. Medical Informatics Assoc., 1994

PI-in-a-Box: A Knowledge-Based System for Space Science Experimentation.
AI Mag., 1994

Global Conditioning for Probabilistic Inference in Belief Networks.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993
What Is a Knowledge Representation?
AI Mag., 1993

Categorical and Probabilistic Reasoning in Medicine Revisited.
Artif. Intell., 1993

I-in-a-Box: A Knowledge-Based System for Space Science Experimentation.
Proceedings of the The Fifth Conference on Innovative Applications of Artificial Intelligence (IAAI 1993), 1993

1989
Using causal reasoning in gait analysis.
Appl. Artif. Intell., 1989

1985
Knowledge-Based Systems: A Survey.
Proceedings of the On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies, 1985

1982
Information Acquisition in Diagnosis.
Proceedings of the National Conference on Artificial Intelligence, 1982

1981
Brand X: LISP Suport for Semantic Networks.
Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

Causal Understanding of Patient Illness in Medical Diagnosis.
Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

1978
Categorical and Probabilistic Reasoning in Medical Diagnosis.
Artif. Intell., 1978

The development of clinical expertise in the computer-The evolution of clinical decision-making programs at MIT (Abstract of presentation).
Proceedings of the American Federation of Information Processing Societies: 1978 National Computer Conference, 1978

1974
The REL animated film language.
Proceedings of the 1st Annual Conference on Computer Graphics and Interactive Techniques, 1974

1973
Specialized languages: an applications methodology.
Proceedings of the American Federation of Information Processing Societies: 1973 National Computer Conference, 1973


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