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September 30, 2024Gazi University Journal of Science Part A Engineering and InnovationOpen Access

Neutral Benchmarking of Survival Models in Health Sciences: Comparative Study of Classical and Machine Learning Techniques

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SASumaıla AbubakariFKFiliz Karaman

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Abubakari et al. (2024) studied this question.

synapsesocial.com/papers/68e56f6bb6db64358750fd4ehttps://doi.org/10.54287/gujsa.1505905
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Benchmarking Classical, Machine Learning, and Bayesian Survival Models for Clinical Prediction2025
  2. 2Comprehensive benchmarking of machine learning methods for risk prediction modelling from large-scale survival data: a UK Biobank study2026
  3. 3Benchmark of biomarker identification and prognostic modeling methods on diverse censored data2026
  4. 4A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data2024
  5. 5Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission2024 · 3 citations