Alternatives and similar repositories for cmprsk

Users that are interested in cmprsk are comparing it to the libraries listed below

• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆118Updated 2 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆93Updated last year
• landiisotta / convae_architecture
  ☆41Updated 3 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• spiros / chronological-map-phenotypes
  Machine-readable version of electronic health record phenotypes for Kuan V. and Denaxas S. et al.
  ☆50Updated last year
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 3 years ago
• MASILab / pyPheWAS
  MASI Lab Implementation of PheWAS in Python
  ☆28Updated last year
• judyboon / BASS
  A Bayesian group factor model with structured sparsity
  ☆22Updated 9 years ago
• martonkolossvary / parseRPDR
  Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
  ☆11Updated 10 months ago
• lanagarmire / cox-nnet
  ☆47Updated 8 years ago
• ErikinBC / SurvSet
  ☆59Updated 6 months ago
• AxelitoMartin / OncoCast
  Ensemble learning for let truncated high dimensional survival data
  ☆15Updated 5 years ago
• traversc / cox-nnet
  ☆37Updated 8 years ago
• spiros / tofu
  Tofu is a Python tool for generating synthetic UK Biobank data.
  ☆65Updated 2 years ago
• nliulab / AutoScore
  AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator
  ☆34Updated last week
• clinicalml / omop-learn
  Python package for machine learning for healthcare using a OMOP common data model
  ☆111Updated 2 years ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆60Updated 2 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆167Updated last week
• RaphaelS1 / survivalmodels
  Implementations of survival models in R
  ☆58Updated last year
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆220Updated 2 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆95Updated last year
• spiros / ukbiobank-resources
  A curated list for preprocessing, cleaning, mapping and analyzing UK Biobank data.
  ☆56Updated 2 years ago
• sysbio-curie / multipit
  Fusion strategies to build multimodal predictors for the prediction of immunotherapy response in non-small cell lung cancer
  ☆14Updated 10 months ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆67Updated last year
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆26Updated 3 years ago
• ModelOriented / survex
  Explainable Machine Learning in Survival Analysis
  ☆116Updated last year
• instigatorofawe / shockalert-documented
  Data-driven discovery of a novel sepsis pre-shock state predicts impending septic shock in the ICU
  ☆17Updated 4 years ago
• tompollard / tableone
  Create "Table 1" for research papers in Python
  ☆187Updated 7 months ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆21Updated 3 years ago