Jonathan H. Chen

Orcid: 0000-0002-4387-8740

According to our database1, Jonathan H. Chen authored at least 66 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine.
npj Digit. Medicine, 2024

Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization.
CoRR, 2024

Quantization-free Lossy Image Compression Using Integer Matrix Factorization.
CoRR, 2024

Many-Shot In-Context Learning in Multimodal Foundation Models.
CoRR, 2024

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems.
CoRR, 2024


2023
Selective prediction for extracting unstructured clinical data.
J. Am. Medical Informatics Assoc., December, 2023

Clinical outcome prediction using observational supervision with electronic health records and audit logs.
J. Biomed. Informatics, November, 2023

DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record.
J. Am. Medical Informatics Assoc., August, 2023

Natural language processing system for rapid detection and intervention of mental health crisis chat messages.
npj Digit. Medicine, 2023

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.
J. Biomed. Informatics, 2023

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery.
CoRR, 2023

2022
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care.
J. Biomed. Informatics, 2022

Team is brain: leveraging EHR audit log data for new insights into acute care processes.
J. Am. Medical Informatics Assoc., 2022

Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial.
J. Am. Medical Informatics Assoc., 2022

Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection.
CoRR, 2022

Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality.
CoRR, 2022

Leveraging EHR Audit Log Data to Unlock New Insights into Care Processes and Outcomes.
Proceedings of the AMIA 2022, 2022

Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure.
Proceedings of the AMIA 2022, 2022

Modifiable Inpatient Cost Variability at a Large Academic Medical Center.
Proceedings of the AMIA 2022, 2022

How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed.
Proceedings of the AMIA 2022, 2022

2021
stratamatch: Prognostic Score Stratification Using a Pilot Design.
R J., 2021

Machine learning for initial insulin estimation in hospitalized patients.
J. Am. Medical Informatics Assoc., 2021

Developing machine learning models to personalize care levels among emergency room patients for hospital admission.
J. Am. Medical Informatics Assoc., 2021

Engaging Housestaff as Informatics Collaborators: Educational and Operational Opportunities.
Appl. Clin. Inform., 2021

Computational Challenges and Artificial Intelligence in Precision Medicine.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Randomized user testing of recommender system clinical decision support.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Deep learning interpretation of echocardiograms.
npj Digit. Medicine, 2020

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.
J. Am. Medical Informatics Assoc., 2020

OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.
J. Am. Medical Informatics Assoc., 2020

Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles.
CoRR, 2020

Session Introduction.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Data-Driven Clinical Decision Support for Computerized Physician Order Entry: Development, Evaluation, and Implementation.
Proceedings of the AMIA 2020, 2020

Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.
Proceedings of the AMIA 2020, 2020

It's not just a last mile problem: Partnering with process improvement and human factors to integrate machine learning into healthcare delivery.
Proceedings of the AMIA 2020, 2020

2019
Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.
J. Am. Medical Informatics Assoc., 2019

Prevalence and Predictability of Low Yield Inpatient Laboratory Diagnostic Tests.
Proceedings of the AMIA 2019, 2019

Detecting unanticipated actions downstream from clinical decision support: a data mining approach.
Proceedings of the AMIA 2019, 2019

2018
An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.
J. Biomed. Informatics, 2018

Impact of problem-based charting on the utilization and accuracy of the electronic problem list.
J. Am. Medical Informatics Assoc., 2018

A "bottom up" data driven approach to curating electronic order sets.
Proceedings of the AMIA 2018, 2018

Machine Learning Predictable Inpatient Lab Results for High-Value Care.
Proceedings of the AMIA 2018, 2018

2017
Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.
J. Am. Medical Informatics Assoc., 2017

Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets.
Int. J. Medical Informatics, 2017

The Training of Next Generation Data Scientists in Biomedicine.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

The New HIT: Human Health Information Technology.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Problem based charting: a method for improving problem list utilization and completeness.
Proceedings of the Summit on Clinical Research Informatics, 2017

Decaying Relevance of Clinical Data when Predicting Future Decisions.
Proceedings of the Summit on Clinical Research Informatics, 2017

Impact of Clinician Experience on Machine Learned Clinical Order Patterns.
Proceedings of the AMIA 2017, 2017

2016
OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records.
J. Am. Medical Informatics Assoc., 2016

Dynamically Evolving Clinical Practices and Implications for Predicting Medical Decisions.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Automated Organization of Electronic Health Record Data by Probabilistic Topic Modeling to Inform Clinical Decision Making.
Proceedings of the Summit on Clinical Research Informatics, 2016

Usability of an Automated Recommender System for Clinical Order Entry.
Proceedings of the AMIA 2016, 2016

2014
"Doctors who ordered this also ordered..." Automated physician order recommendations and outcome predictions by data-mining electronic medical records.
Proceedings of the AMIA 2014, 2014

2011
Learning to Predict Chemical Reactions.
J. Chem. Inf. Model., 2011

2009
No Electron Left Behind: A Rule-Based Expert System To Predict Chemical Reactions and Reaction Mechanisms.
J. Chem. Inf. Model., 2009

2007
One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties.
J. Chem. Inf. Model., 2007

ChemDB update - full-text search and virtual chemical space.
Bioinform., 2007

2006
Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue Mutants.
IEEE ACM Trans. Comput. Biol. Bioinform., 2006

2005
ChemDB: a public database of small molecules and related chemoinformatics resources.
Bioinform., 2005

Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005


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