Machine Learning|Based Survival Prediction Models for ...

Machine Learning–Based Survival Prediction Models for ...

This study investigated if a machine learning (ML) approach could outperform existing models when it comes to predicting overall survival (OS) and progression- ...

Machine Learning-Based Survival Prediction Models for ... - PubMed

Machine Learning-Based Survival Prediction Models for Progression-Free and Overall Survival in Advanced-Stage Hodgkin Lymphoma. JCO Clin Cancer Inform. 2024 Apr ...

Application of machine learning in predicting survival outcomes ...

The ML algorithms, random survival forests and neural networks, are mainly used for RWD to predict survival outcomes such as disease prognosis or clinical ...

A comparison of machine learning methods for survival analysis of ...

Survival analysis is a statistical method that aims to predict the time to an event, such as death, the diagnosis of a disease or the failure of ...

Survival prediction models: an introduction to discrete-time modeling

Survival prediction models are built using time-to-event data, which includes the time that an individual is observed for the event of interest ...

Comparative study of machine learning and statistical survival ...

The findings reveal that machine learning models, particularly Random Survival Forests (RSF), outperform traditional statistical methods in both ...

Machine Learning Model for Predicting Postoperative Survival of ...

Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms.

Deep learning for survival analysis: a review

The influx of deep learning (DL) techniques into the field of survival analysis in recent years has led to substantial methodological ...

Survival prediction landscape: an in-depth systematic literature ...

Survival prediction models provide useful information about the correlation between different features and clinical outcomes. This correlation information ...

A machine learning approach for risk factors analysis and survival ...

Machine learning models are proposed for risk factor analysis and survival prediction of heart failure patients. •. Hyper-parameter tuning and dataset ...

What is Survival Analysis in Machine Learning - JADBio

In health disciplines, survival analysis represents the predictive model which calculates for the time lapsed until a certain event. Obviously, in medicine the ...

Machine Learning–Based Individualized Survival Prediction Model ...

Conclusion. For the first time, we developed a model using the OAI cohort to predict with high accuracy if a given osteoarthritic knee would ...

A machine learning-based model for survival prediction in patients ...

This paper suggests a simple and operable formula to quickly predict patients at the highest risk, allowing them to be prioritised and potentially reducing the ...

Time-dependent explanations of machine learning survival models

Machine and deep learning survival models demonstrate similar or even improved time-to-event prediction capabilities compared to classical ...

Prediction models with survival data: a comparison between ...

Three performance measures suitable for assessing survival model predictive performance were considered: the C-index, and the time-dependent ...

[PDF] Prediction models with survival data: a comparison between ...

Prediction models with survival data: a comparison between machine learning and the Cox proportional hazards model · Audinga-Dea Hazewinkel, H. Gelderblom, M.

Machine Learning for Survival Analysis - Chandan Reddy

Reddy, "Survival Analysis based Framework for Early Prediction of. Student Dropouts", CIKM 2016. Page 8. 8. Crowdfunding. Projects. Duration. Goal amount.

Dynamic Survival Prediction Combining Landmarking with a ...

The proposed approach exploits discrete time survival analysis techniques to enable the use of machine learning algorithms for binary outcomes. We discuss ...

Combining classical and machine learning methods in Survival ...

Survival analysis deals with the longitudinal data and estimates both the distribution of time-to-event in a population over the observation ...

Machine Learning-Based Survival Prediction Models ... - Mayo Clinic

Examining model performance for OS in the development cohort, the concordance index (C-index) for the ML model, IPS-7, IPS-3, and A-HIPI was found to be 0.789, ...