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c-index

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Simon-Bertrand / Clusters-Features

The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.

Updated Apr 1, 2022
Python

neural-tangjie / NTJ-AIMed_2_Prognosis

This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.

numpy hazard pandas imputation linear-model missing-data survival kaplan-meier decision-tree time-to-event risk-model heart-disease overfitting mortality-rates censored-data prognosis c-index concordance-index

Updated Jan 1, 2023
Jupyter Notebook

GP-TEAM-SBME / 10-Year-Risk-of-Death-of-Individuals-from-the-NHANES-I-Epidemiology-Dataset

python machine-learning data-visualization feature-selection pca upsampling ensemble-model permutation-importance grid-search-algorithms data-scaling voting-ensemble c-index

Updated Mar 13, 2022
Jupyter Notebook

DiegoVallarino / MSc-and-PhD-studies-in-Survival

In this work I tested if there was an improvement in performance in the use of different survival models.

xgboost-algorithm xgboost-model survival-models survival-prediction coxph-model c-index mtlr

Updated Mar 16, 2023
HTML

abdoush / SurVED

The Concordance Index Decomposition

survival-analysis variational-inference evaluation-metrics c-index

Updated Apr 23, 2024
Python

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