t2dmriskeqns

Category

Software & Systems

Subcategory

unknown

License

MIT(osi)

Status

dormant

Maturity

deployed

Organization

unknown

Country

unknown

Homepage

unknown

Repository

github.com/sanjaybasu/t2dmriskeqns

Documentation

unknown

Tags

complications · diabetes · diabetes-complications · macrovascular-complications · medicine · prevention · risk-calculations · risk-equations

Regulatory

unknown

• sanjaybasu

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.

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

• FLwatchcomplications · diabetes

  iOS and watchOS app to display glucose readings from the Freestyle Libre cloud and insulin on board and activity graphs.

• PyCVDRiskprevention

  a comprehensive Python package for cardiovascular disease risk prediction, implementing 46 validated models

• aditmedicine

  ADIT (Automated DICOM Transfer) is a swiss army knife to exchange DICOM data between various systems by using a convenient web frontend and DICOMweb compatible API client.

• ctakesmedicine

  Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.

• deep-histopathmedicine

  A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

• eovmedicine

  A lightweight, cross-platform Whole Slide Image (WSI) viewer for digital pathology.

1. api.github.com/repos/sanjaybasu/t2dmriskeqns
   retrieved 2026-08-05 · via github-api

   Machine-imported from GitHub search. Last push 2020-01-22, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/58.json→ .entries["t2dmriskeqns"]

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