Predicting generalised anxiety disorder among women using decision tree-based classification
Neesha Jothi and Wahidah Husain, Nur'Aini Abdul Rashid, Lee Ker Xin
Year of publication: |
2018
|
---|---|
Authors: | Neesha Jothi ; Wahidah Husain ; Rashid, Nur'Aini Abdul ; Lee Ker Xin |
Published in: |
International journal of business information systems : IJBIS. - Olney, Bucks. : Inderscience Enterprises, ISSN 1746-0972, ZDB-ID 2193362-5. - Vol. 29.2018, 1, p. 75-91
|
Subject: | data mining | data mining in healthcare | generalised anxiety disorder | GAD | random forest | Data Mining | Data mining | Frauen | Women | Psychische Krankheit | Mental disorder | Entscheidungsbaum | Decision tree | Klassifikation | Classification |
Saved in:
Saved in favorites
Similar items by subject
-
Applying data mining algorithms to encourage mental health disclosure in the workplace
Singer, Gonen, (2021)
-
Estimation of dry docking duration using a numerical ant colony decision tree
Surjandari, Isti, (2015)
-
Modelling and predicting student's academic performance using classification data mining techniques
Raza Hasan, (2020)
- More ...