Clinical Trials Logo
  1. Home
  2. End Stage Cancer
  3. NCT04883879

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

End Stage Cancer Clinical Trial

Official title:
Artificial Intelligence-based Activity Recognition and Mortality Prediction Using Circadian Rhythm, Among Cancer Patients in the Hospice Ward

Clinical Trial Summary

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.

Clinical Trial Description

This study aims to develop a deep-learning-based survival prediction model that utilizes patient movement data upon admission to predict their clinical outcomes: either death or discharge with stable condition. Objective data of the patients are recorded by a wearable device and documented as parameters of physical activity, angle, and spin. In addition to objective data, the investigators also document patients' Karnofsky Performance Status assessed subjectively by clinical doctors. Finally, the investigators aim to explore and describe the applicability, potential, and limitations of the survival prediction model based on patient movement data as a simple prognostic parameter in clinical settings. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04883879
Study type Observational
Source Taipei Medical University
Contact Shabbir Syed-Abdul, PhD
Phone 886 2-6638-2736
Email drshabbir@tmu.edu.tw
Status Recruiting
Phase
Start date December 11, 2019
Completion date December 31, 2021
View Details
See also
  Status Clinical Trial Phase
Recruiting NCT05054907 - Using Wearable Device to Improve Quality of Palliative Care
Recruiting NCT03679182 - Efficacy and Safety of Olanzapine for the Treatment of Nausea and Vomiting in Palliative Cancer Care Phase 2
Enrolling by invitation NCT05407844 - Community Health Worker Based Intervention to Improve Palliative Care N/A
Active, not recruiting NCT04942756 - GLYPALCARE STUDY - Multicenter, Randomized Study for Evaluating Continuous Glucose Monitoring (CGM) by Using FreeStyle Libre 2 (FSL2) for Preventing Hyperglycemia/Hypoglycemia Crisis in Advanced Oncological Patients. N/A
Completed NCT04821466 - VR for Symptom Control and Wellbeing N/A
Recruiting NCT04016038 - Psychosocial Approach and Sedation Practices
Completed NCT02151214 - Efficacy of Parenteral Nutrition in Patients at the Palliative Phase of Cancer. N/A
Completed NCT04495530 - Information Needs Around Parenteral nUTrition in Cancer
Completed NCT01912846 - An Interactive Advance Care Planning Intervention to Facilitate a Good Death for Cancer Patients N/A
Recruiting NCT06072612 - Study of the Bria-IMT Regimen and CPI vs Physicians' Choice in Advanced Metastatic Breast Cancer. Phase 3
Recruiting NCT03387436 - The "Hand-in-Hand Study": Improvement of Quality of Life in Palliative Cancer Patients Through Collaborative Advance Care Planning N/A