- Title
- Identifying patterns in medical records through latent semantic analysis
- Creators
- David Gefen - Drexel UniversityJake Miller - Drexel UniversityJohnathon Kyle Armstrong - Independence Blue Cross (United States, Philadelphia)Frances H. Cornelius - Drexel UniversityNoreen Robertson - Drexel UniversityAaron Smith-McLallen - Independence Blue Cross (United States, Philadelphia)Jennifer A. Taylor - Drexel University
- Publication Details
- Communications of the ACM, v 61(6), pp 72-77
- Publisher
- Assoc Computing Machinery; NEW YORK
- Number of pages
- 6
- Grant note
- 282847 / Drexel Grant
- Resource Type
- Magazine article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems); Drexel Solutions Institute; SOM Dean - Research Administration; Management; College of Nursing and Health Professions; Environmental and Occupational Health
- Web of Science ID
- WOS:000433513100020
- Scopus ID
- 2-s2.0-85062424416
- Other Identifier
- 991019168767004721
Magazine article
Identifying patterns in medical records through latent semantic analysis
Communications of the ACM, v 61(6), pp 72-77
01 Jun 2018
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- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Software Engineering
- Computer Science, Theory & Methods