This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancin
git clone https://github.com/shady-mo20/Heart-Disease-Prediction.git cd Heart-Disease-Prediction Create a Virtual Environment (Optional but Recommended): python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate Install Dependencies: pip install -r requirements.txt Run the...
Coronary heart disease (CHD) is a serious cardiovascular disease (CVD)1that not only has a high mortality rate but also patients are prone to the risk of recurrence even after they are cured and discharged from the hospital, both of which are prognosis-oriented factors for poor outcomes. The...
Congenital heart disease (CHD) is one of the most common birth defects in the world. It is the leading cause of infant mortality, necessitating an early diagnosis for timely intervention. Prenatal screening using ultrasound is the primary method for CHD detection. However, its effectiveness is hea...
we evaluated the performances of the trained model on the internal test set and two external test sets. See the CHD prediction performances (sub-types are not distinguished) in Table1, both the specificity and sensitivity of CHD detection exceeded 0.8 on the internal test set. On the two exte...
et al. Human bone marrow organoids for disease modeling, discovery, and validation of therapeutic targets in hematologic malignancies. Cancer Discov. 13, 364–385 (2023). Article CAS PubMed Google Scholar Frenz-Wiessner, S. et al. Generation of complex bone marrow organoids from human induced...
The early life gut microbiome is crucial in maintaining host metabolic and immune homeostasis. Though neonates with critical congenital heart disease (CCHD) are at substantial risks of malnutrition and immune imbalance, the microbial links to CCHD pathop
Coronary Heart Disease Prediction About the dataset: The "Framingham" dataset is publically available on the Kaggle website, and it is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts. The classification goal is to predict whether the patient has 10-year ...
git clone https://github.com/UBC-MDS/heart_disease_predictor_py.git cd heart_disease_predictor_py Create and Activate the Environment conda env create -f environment.yml conda activate heart_disease_predictor Run the Analysis (Make Targets) To start fresh (remove previously generated files): ma...
Hypertrophic cardiomyopathy (HCM) is a common inherited cardiovascular disease with heterogeneous clinical presentations, governed by multiple molecular mechanisms. Metabolic perturbations underlie most cardiovascular diseases; however, the metabolic alterations and their function in HCM are unknown. Here, we de...