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Dai et al., 2022 - Google Patents

Multi-task learning for randomized controlled trials: a case study on predicting depression with wearable data

Dai et al., 2022

View PDF
Document ID
12862746600240619243
Author
Dai R
Kannampallil T
Zhang J
Lv N
Ma J
Lu C
Publication year
Publication venue
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

External Links

Snippet

A randomized controlled trial (RCT) is used to study the safety and efficacy of new treatments, by comparing patient outcomes of an intervention group with a control group. Traditionally, RCTs rely on statistical analyses to assess the differences between the …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
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