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Diabetes-Detection

imported

software/diabetes-detection

A diabetes detection machine learning project involves using data and algorithms to train a model to accurately predict the likelihood of an individual having diabetes based on various features such…

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
classification-algorithm · data-science · diabetes · flask-application · machine-learning
Regulatory
unknown
built by · 1

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

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

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    Diabetes Prediction System using support vector classifier and its deployment on local machine

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    Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.

  • agp_tooldiabetes

    Ambulatory glucose profile analysis tool

  • AndroidAPSdiabetes

    Android application implementing automated insulin delivery for compatible pumps and glucose sensors.

  • An open-source software platform for managing diabetes using a closed-loop insulin delivery system. The platform uses machine learning algorithms and continuous glucose monitoring to automatically…

  • Azurediabetes

    Aplicativo voltado para diabéticos, oferecendo guias de informação confiável e um gerenciador de saúde para auxiliar no acompanhamento da condição.

sources
  1. api.github.com/repos/nileshparab42/Diabetes-Detection
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-01-26, 20 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/54.json→ .entries["diabetes-detection"]

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