Automatic classification of communication logs into implementation stages via text analysis

Implementation Science

Volumn 11, Issue 1, 2016, Pages 1-

  Wang, Dingding ^a   Ogihara, Mitsunori ^b   Gallo, Carlos ^c   Villamar, Juan A ^c   Smith, Justin D ^c   Vermeer, Wouter ^c   Cruden, Gracelyn ^d   Benbow, Nanette ^c   Brown, C Hendricks ^c  

^a Florida Atlantic University   (United States)

^b Department of Computer Science and Center for Computational Science   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d University of North Carolina at Chapel Hill   (United States)

Author keywords

Machine learning; Social systems informatics; Text mining; Unobtrusive measures

Indexed keywords

ATTENTION; CALIFORNIA; CLASSIFICATION; DECISION MAKING; FEASIBILITY STUDY; FOSTER CARE; HUMAN; INFORMATION SCIENCE; MACHINE LEARNING; MINING; MODEL; MONITORING; VELOCITY; COMPUTER SIMULATION; DATA MINING; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INTERPERSONAL COMMUNICATION; MASS COMMUNICATION; MATHEMATICS; MEDICAL INFORMATICS; PROCEDURES; SENSITIVITY AND SPECIFICITY; TRANSLATIONAL RESEARCH;

CALIFORNIA; COMMUNICATION; COMPUTER SIMULATION; DATA MINING; DIFFUSION OF INNOVATION; FEASIBILITY STUDIES; FOSTER HOME CARE; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MACHINE LEARNING; MATHEMATICS; MEDICAL INFORMATICS; RECORDS AS TOPIC; SENSITIVITY AND SPECIFICITY; TRANSLATIONAL MEDICAL RESEARCH;

EID: 84984979183     PISSN: None     EISSN: 17485908     Source Type: Journal    
DOI: 10.1186/s13012-016-0483-6     Document Type: Article

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