Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses

Nursing and Health Professions

• Subacute Care 100%
• Hospital Discharge 40%
• Hospital Admission 20%
• Random Forest 20%
• Confidence Interval 10%
• Disease 10%
• Sensitivity and Specificity 10%
• Area under the Curve 10%
• Electronic Medical Record System 10%

Medicine and Dentistry

• Subacute Care 100%
• Patient Mobility 30%
• Disease 10%
• Sensitivity and Specificity 10%
• Body Mass Index 10%
• Electronic Patient Record 10%

Keyphrases

• Effective Discharge 10%