Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
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Updated
Apr 4, 2024 - Python
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Datasets for Predictive Maintenance
Survival analysis in Julia
Tutorial on survival analysis using TensorFlow.
Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.
SurvSHAP(t): Time-dependent explanations of machine learning survival models
A probabilistic model to cluster survival data in a variational deep clustering setting
ACM CHIL 2020: "Survival Cluster Analysis"
ICML 2018: "Adversarial Time-to-Event Modeling"
Explainable Machine Learning in Survival Analysis
SurvTRACE: Transformers for Survival Analysis with Competing Events
R package for fitting joint models to time-to-event and longitudinal data
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
Event Prediction in Clinical Trials with Time-to-Event Outcomes
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀
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