Rule-based healthcare expert system designed using Pyke and Python. The project focuses on heart failure telemonitoring, aiming to enhance patient self-care and clinical management.

Metadata files for the idr0042 submission

基于支持向量机方法和心脏衰竭临床数据的疾病预测

Code and Datasets for the paper "DG-Viz: Deep Visual Analytics with Domain Knowledge Guided Recurrent Neural Networks on Electronic Health Records", published on Journal of Medical Internet Research (JMIR) in 2020.

Your own 🤖 Doctor

Code and Datasets for the paper "Domain Knowledge Guided Deep Learning with Electronic Health Records", published on ICDM 2019.

This is a source code of manuscript: Kim D. 2024. "Graph Autoencoder and StrNN based Causal Analysis of Mortality in Heart Failure Patients". BioRxiv. DOI: https://doi.org/10.1101/2024.11.11.622921

A Machine Learning project to predict heart failure patient mortality using Support Vector Machine (SVM) and Artificial Neural Network (ANN). Includes data preprocessing, model training, and evaluation with visualizations.

My code for the Dream 2022 FINRISK - Heart Failure and Microbiome challenge