World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
16999
World Ranking
1523
National Ranking
791

Overview

Carol Friedman is affiliated with Columbia University in the United States. Their research spans several fields, primarily focusing on Computer Science, Medicine, and Biochemistry, Genetics, and Molecular Biology. These areas reflect a multidisciplinary approach encompassing both computational and biomedical sciences.

The subfields in which they have contributed include Artificial Intelligence, Molecular Biology, Dermatology, Surgery, and Oncology. This diversity indicates engagement with both computational methods and clinical or biological applications.

Their main topics of work cover:

  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Natural Language Processing Techniques
  • Hidradenitis Suppurativa and Treatments
  • Colorectal and Anal Carcinomas
  • Colorectal Cancer Treatments and Studies

Carol Friedman's publications have appeared in venues such as the Journal of Clinical and Translational Science. One notable recent paper is titled "4429 Powering precision medicine research with the efficient construction of large diverse cohorts," published in 2020 in the Journal of Clinical and Translational Science.

Their collaborative work involves frequent cooperation with several researchers including:

  • Dina Demner-Fushman
  • Noémie Elhadad
  • Lynn Petukhova
  • Nana Ekua Adenu-Mensah
  • Ning Shang

This collaboration network highlights interdisciplinary efforts combining expertise across computational and clinical domains. The blend of topics and coauthors suggests integration of artificial intelligence techniques with medical and molecular research challenges.

Best Publications

  • A General Natural-language Text Processor for Clinical Radiology

    Carol Friedman;Philip O. Alderson;John H. M. Austin;James J. Cimino

  • GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles.

    Carol Friedman;Pauline Kra;Hong Yu;Michael Krauthammer

  • Automated encoding of clinical documents based on natural language processing.

    Carol Friedman;Lyudmila Shagina;Yves A. Lussier;George Hripcsak

  • Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

    George Hripcsak;Carol Friedman;Philip O. Alderson;William DuMouchel

  • Novel data-mining methodologies for adverse drug event discovery and analysis.

    Rave Harpaz;William DuMouchel;William DuMouchel;Nigam H. Shah;David Madigan;David Madigan

  • System and method for language extraction and encoding utilizing the parsing of text data in accordance with domain parameters

    Carol Friedman

  • Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study

    Xiaoyan Wang;George Hripcsak;Marianthi Markatou;Carol Friedman

  • GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data

    Andrey Rzhetsky;Ivan Iossifov;Tomohiro Koike;Michael Krauthammer

  • Medical Language Processing: Computer Management of Narrative Data

    Naomi. Sager;Carol Friedman;Margaret S. Lyman

  • Using BLAST for identifying gene and protein names in journal articles.

    Michael Krauthammer;Andrey Rzhetsky;Pavel Morozov;Carol Friedman;Carol Friedman

  • A broad-coverage natural language processing system.

    Carol Friedman

  • Two biomedical sublanguages: a description based on the theories of Zellig Harris

    Carol Friedman;Pauline Kra;Andrey Rzhetsky

  • Similarity-based modeling in large-scale prediction of drug-drug interactions

    Santiago Vilar;Eugenio Uriarte;Lourdes Santana;Tal Lorberbaum

  • Drug—drug interaction through molecular structure similarity analysis

    Santiago Vilar;Santiago Vilar;Rave Harpaz;Eugenio Uriarte;Lourdes Santana

  • Automated Acquisition of Disease–Drug Knowledge from Biomedical and Clinical Documents: An Initial Study

    Elizabeth S. Chen;Elizabeth S. Chen;Elizabeth S. Chen;George Hripcsak;Hua Xu;Marianthi Markatou

  • Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports

    George Hripcsak;John H M Austin;Philip O Alderson;Carol Friedman

  • Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality

    Hua Xu;Melinda C Aldrich;Qingxia Chen;Hongfang Liu

  • Natural language processing and its future in medicine.

    C Friedman;G Hripcsak

  • Exploiting Semantic Relations for Literature-Based Discovery

    Dimitar Hristovski;Carol Friedman;Thomas C Rindflesch;Borut Peterlin

  • Mining multi-item drug adverse effect associations in spontaneous reporting systems.

    Rave Harpaz;Herbert S Chase;Carol Friedman

Frequent Co-Authors

George Hripcsak
George Hripcsak Columbia University
Stephen B. Johnson
Stephen B. Johnson Columbia University
Hongfang Liu
Hongfang Liu The University of Texas Health Science Center at Houston
Hua Xu
Hua Xu Yale University
James J. Cimino
James J. Cimino University of Alabama at Birmingham
Chunhua Weng
Chunhua Weng Columbia University
William DuMouchel
William DuMouchel Oracle (United States)
Vasileios Hatzivassiloglou
Vasileios Hatzivassiloglou Columbia University
Hong Yu
Hong Yu University of Massachusetts Lowell
Raul Rabadan
Raul Rabadan Columbia University

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