Leveraging Latent Dirichlet Allocation in processing free-text personal goals among patients undergoing bladder cancer surgery

Purpose As we begin to leverage Big Data in health care settings and particularly in assessing patient-reported outcomes, there is a need for novel analytics to address unique challenges. One such challenge is in coding transcribed interview data, typically free-text entries of statements made durin...

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Bibliographic Details

Published in:	Quality of life research Vol. 28; no. 6; pp. 1441 - 1455
Main Authors:	Li, Yuelin, Rapkin, Bruce, Atkinson, Thomas M., Schofield, Elizabeth, Bochner, Bernard H.
Format:	Journal Article
Language:	English
Published:	Cham Springer Science + Business Media 01.06.2019 Springer International Publishing Springer Nature B.V
Subjects:	Big Data Bladder cancer Cancer surgery CLINICAL AND POLICY APPLICATIONS Medicine Medicine & Public Health Objectives Public Health Quality of Life Research Sociology Latent Dirichlet Allocation Big Data analysis Text analysis Bladder cancer Qualitative data
ISSN:	0962-9343, 1573-2649, 1573-2649
Online Access:	Get full text
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