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Finding the Best Match – A Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions

2022-10-17

Abstract excerpt

<h4>Purpose: </h4> With the need for psychological help long exceeding the supply, finding ways of scaling and better allocating mental health support is a necessity. This paper contributes by investigating how to best predict intervention dropout and failure to allow for a need-based adaptation of treatment. <h4>Methods: </h4>: We systematically compare the predictive power of different text representation metho...

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Literature Corpus work
bd34e8f8-b88e-5241-a84b-b4f63f24acb4
DOI
10.21203/rs.3.rs-2120943/v1
Open publication

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Finding the Best Match – A Case Study on the (Text-)Feature and Model Choice in Digital Mental Health InterventionsDOI 10.21203/rs.3.rs-2120943/v1
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