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Article

A novel dynamic feature selection and prediction algorithm for clinical decision involving high-dimensional and varied patient data

2016-01-01

Abstract excerpt

Predicting suicide risk for mental health patients is a challenging task performed by practitioners on a daily basis. Failure to perform proper evaluation of this risk could have a direct effect on the patient's quality of life and possibly even lead to fatal outcomes. Risk predictions are based on data that are difficult to analyse because they involve a heterogeneous set of patients’ records from a high-dimensio...

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Literature Corpus work
1f91ce5a-171d-5463-857e-b73e76960124
DOI
10.48780/publications.aston.ac.uk.00030072
Open publication

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A novel dynamic feature selection and prediction algorithm for clinical decision involving high-dimensional and varied patient dataDOI 10.48780/publications.aston.ac.uk.00030072
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