A Natural Language Processing Approach to Analyzing Consultation Visits for Treatment Decision Making for Localized Prostate Cancer
Public Deposited- Last Modified
- February 28, 2019
- Creator
-
Liu, Yumeng
- Affiliation: School of Information and Library Science
- Abstract
- This quantitative study investigates the information seeking and giving behaviors of doctors, prostate cancer patients and their family members during consultation visits. The dataset was a transcript of audio-recordings of real-time treatment consultations collected from 171 consultation visits in a clinical trial. For text analysis purposes, a question mark in a transcript sentence was used to signal the information seeking behavior while a period was used to signal information giving behavior. Two counting methods were adopted to investigate the effect of a decision aid intervention that was created to facilitate the prostate cancer patient consultation. Data process, cleaning and analysis were performed by Python, which shows the decision aid intervention promoted the patient’s information seeking and giving behavior during the consultations. Topic analysis of specific target population showed different communication styles from Caucasian and African America population. What’s more, the results contribute to the decision aid for patients and training on communications in the clinical visits.
- Date of publication
- April 2018
- Subject
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Yu, Fei
- Degree
- Master of Science in Information Science
- Academic concentration
- Library and Information Science
- Degree granting institution
- University of North Carolina at Chapel Hill
- Graduation year
- 2018
- Language
- Deposit record
- 3a7ca9e1-caf1-4ab0-8c82-8168318588bd
Relations
- Parents:
This work has no parents.
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