# Jonathan H. Chen

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/jonathan-h-chen/

## Facts

| Field | Value |
| --- | --- |
| Citations | 11,499 |
| Field | Machine Learning in Healthcare |
| h-index | 52 |
| i10-index | 145 |
| Last Known Institution | University of Illinois Urbana-Champaign |
| OpenAlex ID | https://openalex.org/A5046725885 |
| ORCID iD | 0000-0002-4387-8740 |
| Works | 382 |

## Researcher papers

- [Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations](https://scholariq.org/papers/machine-learning-and-prediction-in-medicine-beyond-the-peak-of-inflated/)
- [Toward expert-level medical question answering with large language models](https://scholariq.org/papers/toward-expert-level-medical-question-answering-with-large-language-models/)
- [Large Language Model Influence on Diagnostic Reasoning](https://scholariq.org/papers/large-language-model-influence-on-diagnostic-reasoning/)
- [Deep learning interpretation of echocardiograms](https://scholariq.org/papers/deep-learning-interpretation-of-echocardiograms/)
- [The Transcription Factor FoxO1 Sustains Expression of the Inhibitory Receptor PD-1 and Survival of Antiviral CD8+ T Cells during Chronic Infection](https://scholariq.org/papers/the-transcription-factor-foxo1-sustains-expression-of-the-inhibitory-receptor-pd/)
- [Mega-scale experimental analysis of protein folding stability in biology and design](https://scholariq.org/papers/mega-scale-experimental-analysis-of-protein-folding-stability-in-biology-and/)
- [Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review](https://scholariq.org/papers/explainable-artificial-intelligence-models-using-real-world-electronic-health/)
- [Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine](https://scholariq.org/papers/diagnostic-reasoning-prompts-reveal-the-potential-for-large-language-model/)
- [Reversal by Vasopressin of Intractable Hypotension in the Late Phase of Hemorrhagic Shock](https://scholariq.org/papers/reversal-by-vasopressin-of-intractable-hypotension-in-the-late-phase-of/)
- [Learning to Predict Chemical Reactions](https://scholariq.org/papers/learning-to-predict-chemical-reactions/)
- [Longer-term effectiveness and safety of teduglutide in adults with short bowel syndrome in Canada using real-world evidence](https://scholariq.org/papers/longer-term-effectiveness-and-safety-of-teduglutide-in-adults-with-short-bowel/)

## Researcher topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

## Researcher university

- [University of Illinois Urbana-Champaign](https://scholariq.org/institutions/university-of-illinois-urbana-champaign/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.