covid-ehr-benchmarks
importedsoftware/covid-ehr-benchmarks
A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/yhzhu99/covid-ehr-benchmarks
- Documentation
- unknown
- Tags
- deep-learning · ehr · machine-learning · pytorch
- 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.
- GNN_for_EHRehr · pytorch
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
- pyehrehr · pytorch
[Cell Patterns 2024] A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care
- lemonpieehr · pytorch
A deep learning library for Electronic Health Record (EHR) data
- 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
- api.github.com/repos/yhzhu99/covid-ehr-benchmarksretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-06-06, 48 stars, license reported as GPL-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/21.json→ .entries["covid-ehr-benchmarks"]
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