Determination of disease from discharge summaries : a text mining approach
Year of publication: |
2021
|
---|---|
Authors: | Tsumoto, Shusaku ; Kimura, Tomohirno ; Hirano, Shoji |
Published in: |
The review of socionetwork strategies. - Tokyo : Springer Japan, ISSN 1867-3236, ZDB-ID 2471097-0. - Vol. 15.2021, 1, p. 49-66
|
Subject: | Discharge summary | Hospital information system | Classification learning | Random forest | Krankenhaus | Hospital | Text | Klassifikation | Classification | Data Mining | Data mining |
-
Text classification for organizational researchers : a tutorial
Kobayashi, Vladimer B., (2018)
-
Classifying businesses by economic activity using web-based text mining
Roelands, Maarten, (2017)
-
Predicting generalised anxiety disorder among women using decision tree-based classification
Neesha Jothi, (2018)
- More ...
-
Mining clinical pathways using dual clustering
Tsumoto, Shusaku, (2021)
-
Expectation-maximization (EM) clustering as a preprocessing method for clinical pathway mining
Tsumoto, Shusaku, (2022)
-
Order trajectory analysis for monitoring clinical process
Tsumoto, Shusaku, (2022)
- More ...