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.
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Framework for the reproducible classification of Alzheimer's disease using machine learning
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Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.
- abdm-rubyehr
EHR systems integrate with ABHA and ABDM, enabling seamless access to patient records and improving healthcare services in India through effective EHR integration.
Code for "AI Gone Astray: Technical Supplement", which investigates the effect of time drift on clinically deployed machine learning models
- apiehr
APIs para ANDES
Electronic Health Record (EHR) and Electronic Medical Record (EMR) systems. However, they still face some issues regarding the security of medical records, user ownership of data, data integrity…
- 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"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.