Approaches to text mining for analyzing treatment plan of quit smoking with free-text medical records: A PRISMA-compliant meta-analysis.

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Bibliographic Details
Title: Approaches to text mining for analyzing treatment plan of quit smoking with free-text medical records: A PRISMA-compliant meta-analysis.
Authors: Huang HL; Division of Family Medicine, National Taiwan University Hospital, Zhongzheng Dist., Hong SH; Computer Science and Technology, HeFei University of Technology, Hefei, Anhui Province., Tsai YC; School of Big Data Management, Soochow University, Shihlin District, Taipei City, Taiwan (R.O.C.).
Source: Medicine [Medicine (Baltimore)] 2020 Jul 17; Vol. 99 (29), pp. e20999.
Publication Type: Journal Article; Meta-Analysis
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1536-5964
DOI:10.1097/MD.0000000000020999