Carol Friedman

Carol Friedman is a scientist and biomedical informatician. She is among the pioneers the use of expert systems in medical language processing and the explicit medical concept representation underpinning the use of entity–attribute–value modeling underpinning electronic medical records.

Carol Friedman
NationalityAmerican
Alma materNew York University
City College of New York
Known forMedLEE[1]Medical language processing
GENIES[2] Medical language processing
AwardsAMIA Donald A. B. Lindberg Award for Innovation in Biomedical Informatics, 2010[3]
Fellow of the New York Academy of Medicine, 2006[4]
Fellow, ACMI
National Academy of Mediine (IOM 2016)
Scientific career
FieldsMedical language processing
Biomedical Informatics
Pharmacovigilance
Electronic medical record
EAV model in EMR
InstitutionsColumbia University
Queens College, CUNY
Academic advisorsRalph Grishman
Notable studentsYves A. Lussier
Eneida A. Mendonça

Life

Before her doctoral degree, working under the direction of Naomi Sager at New York University, she also contributed to the development of second generation medical language processing systems. After her doctoral degree in computer science (natural language processing) under Dr. Ralph Grishman at the Courant Institute of Mathematics at New York University, she has developed annotative clinical information systems that have been integrated in the New York–Presbyterian Hospital, and the Columbia University Medical Center.

She is recognized for her development, translation to clinical practice and evaluation of the MedLEE[1] medical language processing system. MedLEE is in daily use for clinical decision support at NewYork–Presbyterian Hospital. She adapted and evaluated the MedLEE system to build biomolecular and genotype-phenotype networks (GENIES[2] and BioMedLEE[5] respectively). MedLEE and GENIES exemplify the translation to practice of the sub-language theory proposed by Zellig Harris that Friedman pursued. In summary, she has been demonstrating the value of natural language processing for a broad range of clinical and biomedical applications that include decision support, automated encoding, vocabulary development, sub-language grammar applied to biomedicine, clinical research, outcomes analysis, error detection, and genomics research.

Friedman is Professor of Biomedical Informatics at Columbia University. Friedman was a member of the Board of Regents of the National Library of Medicine from 2007 to 2011, and has published over 150 articles.

Publications
  • Hsinchun Chen, ed. (21 June 2005). Medical Informatics: Knowledge Management and Data Mining in Biomedicine. Springer. ISBN 978-0-387-24381-8. Retrieved 29 May 2013.
  • Naomi Sager; Carol Friedman; Margaret S. Lyman (1987). Medical language processing: computer management of narrative data. Addison-Wesley Pub. Co. ISBN 978-0-201-16810-5. Retrieved 29 May 2013.
  • "Carol Friedman". PubMed. National Center for Biotechnology Information, U.S. National Library of Medicine.
gollark: It is not a "more equal say", it is directly giving more power to rural people.
gollark: I don't care about this particular instance. You said "This is why I think rural should have a more equal say because rural is most of the state, not just the cities.".
gollark: As I said, I disagree with arbitrarily giving one group more power like that.
gollark: Sure, why not, those are nice numbers.
gollark: I do understand that it weights rural votes more highly. This is what I am complaining about.

References
  1. "Archived copy". Archived from the original on 2011-12-22. Retrieved 2012-10-18.CS1 maint: archived copy as title (link)
  2. Rzhetsky, Andrey; Krauthammer, Michael; Yu, Hong; Kra, Pauline; Friedman, Carol (1 June 2001). "GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles". Bioinformatics. 17 (suppl_1): S74–S82. doi:10.1093/bioinformatics/17.suppl_1.S74. PMID 11472995.
  3. "Recognition Given For Ground-Breaking Advancements In Digitalizing Health Data And Information". Medical News Today.
  4. "In Vivo-Awards & Honors". columbia.edu. Archived from the original on 2013-12-12. Retrieved 2012-10-18.
  5. Borlawsky TB, Li J, Shagina L, Crowson MG, Liu Y, Friedman C, Lussier YA (2010). "Evaluation of an Ontology-anchored Natural Language-based Approach for Asserting Multi-scale Biomolecular Networks for Systems Medicine". AMIA Jt Summits Transl Sci Proc. 2010: 6–10. PMC 3041541. PMID 21347135.
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