Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

While stool DNA testing, which detects biomarkers in stool samples, and CT colonography are safer and less invasive than traditional colonoscopy, their effectiveness in detecting and preventing cancer ...

Breast Cancer Classification using Logistic Regression and Random Forest This project focuses on building a machine learning pipeline for the early detection of breast cancer using the Breast Cancer ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

Contents logistic_regression.py: Python script with the full code. data.csv: Breast Cancer dataset (UCI format). screenshots/: Optional folder with screenshots or graphs. README.md: This documentation ...

Identifying essential cancer proteins is critical in cancer research, as targeting these proteins can lead to effective cancer treatments. The proposed method is primarily intended to design a novel ...

Identification of cancer driver genes is crucial for understanding the molecular mechanisms of cancer. To address the limitations of graph convolutional networks-based cancer driver gene ...

Results: (1) Applying a logistic model to relate the average utilization rate of the four major countries to the ratio of HPC market size to the number of centers (R2 = 0.775). Global annual energy ...