openmedical/registry
← registry

OneEHR

imported

software/oneehr

An all-in-one EHR predictive modeling and analysis library in Python

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

OneEHR project image
GitHub preview card for MedX-PKU/OneEHR. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
MedX-PKU
Country
unknown
Homepage
medx-pku.github.io/OneEHR/
Repository
github.com/MedX-PKU/OneEHR
Documentation
unknown
Tags
ai-for-healthcare · ai-for-science · deep-learning · ehr
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • dental-ai-skillsai-for-healthcare

    AI Skills for Dentists - Research critique, clinical evidence review, and content creation tools for Claude Desktop and Codex

  • BRIDGEai-for-science

    Scientific Agent for evidence-grounded evaluation of cell-therapy products.

  • cancer_researchai-for-science

    Open-source cancer research using AI. Analyzing thousands of papers and running biochemical simulations to propose new approaches for targeting drug-resistant tumor cells. Free forever.…

  • labwrightai-for-science

    Labwright — the AI bench copilot that gets your numbers right. Verifiable LLM-driven wet-lab experimental design: the model proposes, deterministic calculators compute and verify every number.…

  • open-scienceai-for-science

    Open Science is an open-source, local-first, model-agnostic AI research workbench for scientific discovery.

  • SkillFoundryai-for-science

    A framework for discovering, compiling, and validating reusable skills for scientific agents.

sources
  1. api.github.com/repos/MedX-PKU/OneEHR
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-25, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/48.json→ .entries["oneehr"]

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