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NCT04883879

Artificial Intelligence-based Mortality Prediction Among Cancer Patients in the Hospice Ward

Status unknown Last updated 12 May 2021
What this trial tests

trial in End Stage Cancer in 80 participants. Status unknown.

Timeline
11 December 2019
Primary endpoint
31 August 2021
31 December 2021

Quick facts

Lead sponsorTaipei Medical University
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment80
Start date11 December 2019
Primary completion31 August 2021
Estimated completion31 December 2021
Sites1 location across Taiwan

Conditions studied

Sponsor

Taipei Medical University

Who can join

20 and older, any sex, with End Stage Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The purpose of this study is to develop a novel deep-learning-based survival prediction model employing patient activity data recorded by a wearable device.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.
    Yang TY, Kuo PY, Huang Y, Lin HW, et al · · 2021 · cited 15× · PMID 34957004 · DOI 10.3389/fpubh.2021.730150

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Other Taipei Medical University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04883879.

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