Machine Learning for Postoperative Continuous Recovery Scores of Oncology Patients in Perioperative Care with Data from Wearables

Machine Learning for Postoperative Continuous Recovery Scores of Oncology Patients in Perioperative Care with Data from Wearables

Assessing post-operative recovery is a significant component of perioperative care, since this assessment might facilitate detecting complications and determining an appropriate discharge date. However, recovery is difficult to assess and challenging to predict, as no universally accepted definition...

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Bibliographic Details
Main Authors: Bouwman, R.A (Author), Cox, L.G.E (Author), Mestrom, E.H.J (Author), van den Eijnden, M.A.C (Author), van der Stam, J.A (Author), van Riel, N.A.W (Author), Verhaegh, W.F.J (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
clinical prediction
Clinical prediction
'current
Decision making
Decision support systems
Decisions makings
hospital discharge
Hospital discharge
Hospitals
machine learning
Machine learning
Machine-learning
monitoring
oncology
Oncology
physical activity
Physical activity
post-operative recovery
Post-operative recovery
Recovery
Recovery profiles
Regression analysis
Regression modelling
Vital sign
vital signs
wearable sensors
Wearable sensors
Online Access:View Fulltext in Publisher
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