A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories

Affiliation:	1. Department of Computer Science, Wayne State University, 5057 Woodward Ave, Detroit, MI 48202, USA;2. Pediatric Prevention Research Center, School of Medicine, Wayne State University, 540 E Canfield St, Detroit, MI 48201, USA;3. Department of Dietetics and Nutrition, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA;1. Department of Computer Science, Wayne State University, 5057 Woodward Ave, Detroit, MI 48202, USA;2. Pediatric Prevention Research Center, School of Medicine, Wayne State University, 540 E Canfield St, Detroit, MI 48201, USA;3. Department of Dietetics and Nutrition, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA

Abstract:

Keywords:	Machine learning Deep learning Text classification Annotation of clinical text Motivational interviewing
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