Machine Learning versus Cox Models for Predicting Overall Survival in Patients with Osteosarcoma: A Retrospective Analysis of the EURAMOS-1 Clinical Trial Data

• Published in: Cancers Vol. 16; no. 16; p. 2880
• Main Authors: Spreafico, Marta, Hazewinkel, Audinga-Dea, van de Sande, Michiel A J, Gelderblom, Hans, Fiocco, Marta
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 19.08.2024; MDPI
• Subjects: Bone cancer; Clinical trials; Comparative analysis; Decision making; Health care; Learning algorithms; Machine learning; Medical prognosis; Metastasis; Neural networks; Osteosarcoma; Patients; Prediction models; Prognosis; Software; Statistical analysis; Statistical models; Surgery; Survival; Variables; Netherlands; Cox model; survival predictions; survival artificial neural networks; machine learning; clinical trial data; osteosarcoma; random survival forests

Since the mid-1980s, there has been little progress in improving survival of patients diagnosed with osteosarcoma. Survival prediction models play a key role in clinical decision-making, guiding healthcare professionals in tailoring treatment strategies based on individual patient risks. The increas...