LabCompass

Eneida A. Mendonça

Health Professions · Indiana University

OpenAlex ORCID
Electronic Health Records SystemsAsthma and respiratory diseasesBiomedical Text Mining and OntologiesNeuroblastoma Research and TreatmentsCAR-T cell therapy research

Publications

208

Citations

8,651

Est. group size

~2

Recurring co-author estimate

Active years

31

Publishing since 1996

Research summary
AI-generated

Eneida A. Mendonça conducts research at the intersection of medical informatics and pediatric health, using electronic health records (EHR), natural language processing, and machine learning to study conditions like childhood asthma, long COVID, diabetes, and rare genetic syndromes. The work often focuses on analyzing large clinical datasets to detect diseases, assess data quality, and understand health disparities in children. Additional research addresses simulation-based healthcare education and the role of artificial intelligence in medical training.

Electronic health record data analysisPediatric disease epidemiology (asthma, long COVID, diabetes)Clinical natural language processing and machine learningHealth disparities and social determinantsSimulation-based medical education

Publication activity has grown substantially over the past decade, rising from a handful of papers per year in the late 2010s to a peak in 2023 and averaging over 20 papers per year in the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 21.4/year recently
2017: 4 publications172018: 3 publications182019: 8 publications192020: 7 publications202021: 8 publications212022: 16 publications222023: 37 publications37232024: 21 publications242025: 28 publications252026: 5 publications26
Recent publications
Publishes in
  • PEDIATRICS×6
  • medRxiv×6
  • JAMIA Open×4
  • Pediatric Pulmonology×4
  • Journal of Asthma×4

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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