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Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compul...

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compul...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2627255304

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

About this item

Full title

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in neuroinformatics, 2022-02, Vol.16, p.807584

Language

English

Formats

Publication information

Publisher

Switzerland: Frontiers Research Foundation

More information

Scope and Contents

Contents

Machine learning modeling can provide valuable support in different areas of mental health, because it enables to make rapid predictions and therefore support the decision making, based on valuable data. However, few studies have applied this method to predict symptoms' worsening, based on sociodemographic, contextual, and clinical data. Thus, we a...

Alternative Titles

Full title

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2627255304

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2627255304

Other Identifiers

ISSN

1662-5196

E-ISSN

1662-5196

DOI

10.3389/fninf.2022.807584

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