GitHub / premchand9985 / Predicting_Incident_HeartFailure_Disease_Based-on-Transformers
This repository hosts a cutting-edge deep learning model developed to predict 6-month incident heart failure utilizing electronic health records (EHRs). Heart failure is a multifaceted medical condition characterized by its significant impact on patients' well-being and healthcare systems.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/premchand9985%2FPredicting_Incident_HeartFailure_Disease_Based-on-Transformers
PURL: pkg:github/premchand9985/Predicting_Incident_HeartFailure_Disease_Based-on-Transformers
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 302 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: auroc, deep-learning, ehr-data, electronic-health-records, predicting-heart-failure-incidence, transformer-based-architecture, transformers, transformers-models