Blooddonorprediction
importedsoftware/blooddonorprediction
Thanks to digitization, we often have access to large databases, consisting of various fields of information, ranging from numbers to texts and even boolean values. Such databases lend themselves…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- classifier · decision-tree-classifier · ehr · machine-learning · scikit-learn · support-vector-machine · tpot
- Regulatory
- unknown
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.
- proxypottpot
Openproxy型ハニーポット
- AD-MLscikit-learn
Framework for the reproducible classification of Alzheimer's disease using machine learning
- AI-for-Medical-Diagnosisscikit-learn
This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine
- BiHDM_pytorchscikit-learn
An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, with scikit-learn compatibility.
- Cardiac_Arrhythmia_Detection_And_Classificationscikit-learn
ML-based cardiac arrhythmia detection and classification using ECG data with signal processing, feature extraction, and supervised learning models.
- clinicascikit-learn
Software platform for clinical neuroimaging studies
- api.github.com/repos/ritabratamaiti/Blooddonorpredictionretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-08-04, 11 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 →
/v1/entries/32.json→ .entries["blooddonorprediction"]
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