Design of Interoperable Electronic Health Record (EHR) Application for Early Detection of Lung Diseases Using a Decision Support System by Expanding Deep Learning Techniques.
Jagadamba GShashidhar RVinayakumar RaviSahana MalluTahani Jaser AlahmadiPublished in: The open respiratory medicine journal (2024)
As the challenges are increasing daily in healthcare industries, a secure, interoperable EHR could help patients and doctors access patient data efficiently and effectively using an Android application. Therefore, a decision support system using a deep learning model was attempted and successfully used for disease detection. Early disease detection for lung cancer was evaluated, and the model achieved an accuracy of 93%. In future work, the integration of EHR data can be performed to detect various diseases early.
Keyphrases
- electronic health record
- deep learning
- clinical decision support
- healthcare
- end stage renal disease
- adverse drug
- ejection fraction
- loop mediated isothermal amplification
- chronic kidney disease
- newly diagnosed
- machine learning
- prognostic factors
- physical activity
- artificial intelligence
- real time pcr
- peritoneal dialysis
- big data
- sensitive detection
- data analysis