Data imbalance in autism pre-diagnosis classification systems : an experimental study
Neda Abdelhamid, Arun Padmavathy, David Peebles, Fadi Thabtah and Daymond Goulder-Horobin
| Year of publication: |
2020
|
|---|---|
| Authors: | Abdelhamid, Neda ; Padmavathy, Arun ; Peebles, David ; Thabtah, Fadi ; Goulder-Horobin, Daymond |
| Published in: |
Journal of information & knowledge management : JIKM. - Singapore : IKMS, ISSN 0219-6492, ZDB-ID 2225563-1. - Vol. 19.2020, 1, p. 2040014-1-2040014-16
|
| Subject: | Autism spectrum disorder | ASD screening | data imbalance | machine learning | undersampling | oversampling | SMOTE | Künstliche Intelligenz | Artificial intelligence | Experiment | Psychische Krankheit | Mental illness | Klassifikation | Classification |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S0219649220400146 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012292628