JSAI2018

Presentation information

Oral presentation

General Session » [General Session] 3. Data Mining

[2O4] [General Session] 3. Data Mining

Wed. Jun 6, 2018 5:20 PM - 7:00 PM Room O (2F Kaimon)

座長:大知 正直(東京大学)

6:40 PM - 7:00 PM

[2O4-05] Nursing Literature Review Matrix System based on Machine Learning

〇Takanori Yamashita1, Rieko Izukura1, Naoki Nakashima1, Sachio Hirokawa1 (1. Kyushu University)

Keywords:Nurse, SVM, Feature Selection, Matrix system

The literature review matrix is a method commonly used in writing a summary of literature surveys in the nursing field. In the literature review matrix, the literatures and literary groups obtained by the search are arranged on the vertical axis and the analysis aspects such as purpose, data, method, result and discussion are arranged on the horizontal axis, and features of each object are described in the cell. We applied machine learning to grasp the point of view being performed manually and to extract features of each view. We constructed a system that dynamically generates a review matrix according to the search. The present paper explains the idea, the method and case studies on 215 literatures on “text mining in nursing”.