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autoprognosis

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software/autoprognosis

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

Machine-generated from the listed sources and not yet reviewed by a human.

autoprognosis project image
GitHub preview card for vanderschaarlab/autoprognosis. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
vanderschaarlab
Country
unknown
Documentation
unknown
Tags
automl · healthcare · interpretability · survival-analysis
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

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    This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

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    Scalable, scikit-learn-compatible competing-risks survival analysis in pure Python — CR random survival forest, Fine-Gray, cause-specific Cox, Aalen-Johansen CIF, Gray's test, and exact TreeSHAP.…

  • Some codes for survival analysis by using clinical and radiomics features

  • SurvivMIL_COMPAYLsurvival-analysis

    SurvivMIL: A multimodal, Multiple Instance Learning pipeline for survival outcome of Neuroblastoma Patients

sources
  1. api.github.com/repos/vanderschaarlab/autoprognosis
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-03-26, 184 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["autoprognosis"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.