Biography:Noémie Elhadad
Noémie Elhadad | |
|---|---|
 Elhadad speaks at the National Library of Medicine in 2019 | |
| Alma mater | Columbia University ENSEIRB-MATMECA |
| Scientific career | |
| Institutions | Columbia University City College of New York City University of New York |
| Thesis | User-sensitive text summarization : application to the medical domain (2006) |
Noémie Elhadad is an American data scientist who is an associate professor of Biomedical Informatics at the Columbia University Vagelos College of Physicians and Surgeons. As of 2022, she serves as the Chair of the Department of Biomedical Informatics. Her research considers machine learning in bioinformatics, natural language processing and medicine.
Early life and education
Elhadad studied computer software engineering at École nationale supérieure d'électronique, informatique, télécommunications, mathématique et mécanique de Bordeaux (ENSEIRB). She completed her doctoral research at Columbia University.[1] She was based in the Department of Computer Science, where she developed patient-focused text summaries of clinical literature.[2]
Research and career
Elhadad joined the faculty at the City College of New York. In 2007 she joined the Department of Biomedical Informatics at Columbia University.[1][3] She was made Chair of the Health Analytics Center at the Columbia Data Science Institute in 2013.[4][3] Her research considers how clinical data, electronic health records and patient-generated data can enhance access to information for researchers, patients and physicians.[5][6] She developed an artificial intelligence tool that supported patients in the NewYork-Presbyterian Hospital.[7]
Elhadad is interested in using data to advance women's health.[8] She led the Citizen Endo Project that looks to comprehensively describe how patients experience endometriosis. It was built using principles of citizen science, using patient testimonials from focus groups in New York City and data aggregation.[9] She created the app, Phendo,[10] which asks patients about their experience of the disease.[9][11] The name Phendo is a portmanteau of phenotyping endometriosis.[9][12]
Elhadad was announced as Chair of Department of Biomedical Informatics in December 2022.[3][13]
Selected publications
- Caruana, Rich; Lou, Yin; Gehrke, Johannes; Koch, Paul; Sturm, Marc; Elhadad, Noemie (2015-08-10). "Intelligible Models for HealthCare". Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM. pp. 1721–1730. doi:10.1145/2783258.2788613. ISBN 9781450336642. http://dx.doi.org/10.1145/2783258.2788613.
- , Wikidata Q37598951
- Shivade, Chaitanya; Raghavan, Preethi; Fosler-Lussier, Eric; Embi, Peter J; Elhadad, Noemie; Johnson, Stephen B; Lai, Albert M (March 2014). "A review of approaches to identifying patient phenotype cohorts using electronic health records" (in en). Journal of the American Medical Informatics Association 21 (2): 221–230. doi:10.1136/amiajnl-2013-001935. ISSN 1067-5027. PMID 24201027.
Personal life
Elhadad suffers from endometriosis.[9][14]
References
- ↑ 1.0 1.1 "Human-centered AI Approaches for Individualized Self-management Regimens". October 11, 2022. https://www.nlm.nih.gov/news/2022_Ada_Lovelace_Computational_Health_Lecture.html.
- ↑ Elhadad, Noémie (2006). "User-sensitive text summarization : application to the medical domain" (in en). https://www.worldcat.org/title/71265400.
- ↑ 3.0 3.1 3.2 "Noémie Elhadad Selected As Next DBMI Chair" (in en-US). December 8, 2022. https://www.dbmi.columbia.edu/noemie-elhadad-selected-as-next-dbmi-chair/.
- ↑ "Noémie Elhadad". https://systemsbiology.columbia.edu/faculty/no%C3%A9mie-elhadad.
- ↑ "Noemie Elhadad – OHDSI" (in en-US). https://www.ohdsi.org/who-we-are/collaborators/noemie-elhadad/.
- ↑ (in en) 2022 Ada Lovelace Computational Health Lecture Series - Noémie Elhadad, PhD, https://www.youtube.com/watch?v=MES11NnayF4, retrieved 2022-12-17
- ↑ Albert Henry, Tanya (2020-10-05). "4 ways health care AI could help physicians' work" (in en). https://www.ama-assn.org/practice-management/digital/4-ways-health-care-ai-could-help-physicians-work.
- ↑ Elhadad, Noemie (September 8, 2021). "Predictive Modeling for Self-Tracking Apps: A Case Study in Menstrual Health". http://ml-in-medicine.org/abstract-20210908.html.
- ↑ 9.0 9.1 9.2 9.3 "A Q&A With Noemie Elhadad About Her New Endometriosis Symptom-Tracking App, Phendo" (in en). 2018-05-10. https://www.endofound.org/nomie-elhadads-citizen-endo-project-a-2017-endofound-grant-recipient.
- ↑ Holohan, Meghan (March 12, 2021). "'I was dismissed. Called a liar': 4 women detail emotional toll of endometriosis" (in en). https://www.today.com/health/endometriosis-awareness-month-women-share-emotional-toll-condition-t211673.
- ↑ Palus, Shannon (2019-09-17). "There's One Good Reason to Share Period App Data: Medical Research" (in en). https://slate.com/technology/2019/09/period-apps-privacy-researchers-menstrual-pain.html.
- ↑ "CUIMC Celebrates 2019-20, Issue 1" (in en). 2019-07-18. https://www.cuimc.columbia.edu/news/cuimc-celebrates-2019-20-issue-1.
- ↑ "CUIMC Update - December 14, 2022" (in en). 2022-12-15. https://www.cuimc.columbia.edu/news/cuimc-update-december-14-2022.
- ↑ Perez, Caroline Criado. "Murderous menstrual blood" (in en-GB). https://www.tortoisemedia.com/audio/murderous-menstrual-blood/.
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