Artificial neural networks in neurorehabilitation: A scoping review.
BACKGROUND: Advances in medical technology produce highly complex datasets in neurorehabilitation clinics and research laboratories. Artificial neural networks (ANNs) have been utilized to analyze big and complex datasets in various fields, but the use of ANNs in neurorehabilitation is limited. OBJE...
| Publicado en: | NeuroRehabilitation Vol. 46; no. 3; pp. 259 - 270 |
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| Autores principales: | , , , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=145378774&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145378774 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10538135 3RE jtl: NeuroRehabilitation issn: 10538135 maglogo: N pubinfo: dt: 2020 vid: 46 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 145378774 145378774 147562979 145378774 10.3233/NRE-192996 145378774 ppf: 259 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Artificial neural networks in neurorehabilitation: A scoping review. aug: au: Moon, Sanghee Ahmadnezhad, Pedram Hyun-Je Song Thompson, Jeffrey Kipp, Kristof Akinwuntan, Abiodun E. Devos, Hannes affil: Department of Biostatistics, School of Medicine, University of Kansas Medical Center, Kansas City, KS, USA sug: subj: Nervous System Diseases Rehabilitation Neural Networks (Computer) Utilization Decision Making, Clinical Human Scoping Review PubMed CINAHL Database Cognition Functional Assessment Nervous System Diseases Mortality Nervous System Diseases Prognosis ab: BACKGROUND: Advances in medical technology produce highly complex datasets in neurorehabilitation clinics and research laboratories. Artificial neural networks (ANNs) have been utilized to analyze big and complex datasets in various fields, but the use of ANNs in neurorehabilitation is limited. OBJECTIVE: To explore the current use of ANNs in neurorehabilitation. METHODS: PubMed, CINAHL, and Web of Science were used for the literature search. Studies in the scoping review (1) utilized ANNs, (2) examined populations with neurological conditions, and (3) focused on rehabilitation outcomes. The initial search identified 1,136 articles. A total of 19 articles were included. RESULTS: ANNs were used for prediction of functional outcomes and mortality (n = 11) and classification of motor symptoms and cognitive status (n = 8). Most ANN-based models outperformed regression or other machine learning models (n = 11) and showed accurate performance (n = 6; no comparison with other models) in predicting clinical outcomes and accurately classifying different neurological impairments. CONCLUSIONS: This scoping review provides encouraging evidence to use ANNs for clinical decision-making of complex datasets in neurorehabilitation. However, more research is needed to establish the clinical utility of ANNs in diagnosing, monitoring, and rehabilitation of individuals with neurological conditions. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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