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fhir-for-research-archive

imported

data/fhir-for-research-archive

FHIR for Research - 2023 Update

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

fhir-for-research-archive project image
GitHub preview card for NIH-ODSS/fhir-for-research-archive. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
NIH-ODSS
Country
unknown
Documentation
unknown
Tags
fhir · python · quarto · r
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.

  • An abbreviated clinical study report built with Quarto, rendered to branded Typst PDF and HTML from pharmaverse ADaM data.

  • figtracerquarto

    Plain-text, git-tracked lab notebook for reproducible bioinformatics — keeps figures in your Markdown notes in sync with the R & Python code that made them, when the notes live outside the analysis.…

  • Deep learning on dermatoscopic images, with a browser demo that lets you try the task against the model.

  • Learn R statistics for clinical research with AI assistance—interactive Quarto tutorial from zero programming knowledge to publication-ready biostatistics analysis.

  • r-notesquarto

    R语言学习笔记——从数据清洗到高级统计学和生物信息学

  • R pipeline for survival analysis with automatic detection of competing risks, recurrent events, time-varying exposures, and clustering—routes to appropriate statistical methods and generates…

sources
  1. api.github.com/repos/NIH-ODSS/fhir-for-research-archive
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-16, 8 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/23.json→ .entries["fhir-for-research-archive"]

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