Developing Machine Learning Models for Behavioral Coding.

Journal: Journal of pediatric psychology

PMID: 30698755

Abstract

OBJECTIVE: The goal of this research is to develop a machine learning supervised classification model to automatically code clinical encounter transcripts using a behavioral code scheme.

Authors

April Idalski Carcone

Wayne State University.
Mehedi Hasan

Department of Computer Science, Wayne State University.
Gwen L Alexander

Department of Public Health Sciences, Henry Ford Health System.
Ming Dong

Department of Computer Science, Wayne State University.
Susan Eggly

Wayne State University and Barbara Ann Karmanos Cancer Institute.
Kathryn Brogan Hartlieb

Florida International University.
Sylvie Naar

Pediatric Prevention Research Center, School of Medicine, Wayne State University, 540 E Canfield St, Detroit, MI 48201, USA.
Karen MacDonell

Wayne State University.
Alexander Kotov

Department of Computer Science, Wayne State University.

Keywords

Adolescent Behavioral Research Communication Female Humans Machine Learning Male Motivational Interviewing Professional-Patient Relations Qualitative Research Reproducibility of Results Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (30698755)

Developing Machine Learning Models for Behavioral Coding.

Abstract

Authors

Keywords

External Resources

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