Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients

Keyphrases

• Cancer Patients 100%
• Deep Learning 100%
• Survival Outcomes 100%
• Actigraphy 100%
• Performance Status 60%
• Prediction Model 40%
• Status Assessment 40%
• Wristband 40%
• Long Short-term Memory 40%
• Prognostic Accuracy 40%
• Clinical Practice 20%
• Performance Improvement 20%
• Performance Measures 20%
• Monitoring System 20%
• Stable Conditions 20%
• Performance Practice 20%
• Current Performance 20%
• Model Performance 20%
• Activity Data 20%
• Evaluation Tool 20%
• End-of-life Care 20%
• Hospital Stay 20%
• Survival Prediction 20%
• Wearable Technology 20%
• Hospital Admission 20%
• Patient Activity 20%
• Clinical Patients 20%
• Palliative Care 20%
• In-hospital Death 20%
• Hospice Care 20%
• Clinical Trial Registry 20%
• Karnofsky Performance Status 20%
• Care Unit 20%
• Patient Performance 20%
• Performance Status Score 20%

Medicine and Dentistry

• Cancer Staging 100%
• Actigraphy 100%
• Short Term Memory 40%
• Clinical Trial 20%
• Survival Prediction 20%
• Symptomatic Treatment 20%
• Prognostication 20%
• End of Life Care 20%
• Karnofsky Performance Status 20%