Bayesian Survival Analysis with PyMC: A Biostatistics Guide
Learn how to perform Bayesian Survival Analysis using PyMC for biostatistics and clinical data science. Includes code for Cox and Weibull models.
Machine Learning Health Predictors
Our Machine Learning Health Predictors use advanced algorithms to analyse personal health data and provide fast, reliable risk assessments. These tools transform complex clinical and lifestyle information into clear, actionable insights, helping users understand potential health risks early and make informed decisions. Designed for accessibility, accuracy, and preventive care, each predictor supports better health monitoring and empowers users to take proactive control of their well-being.
Learn how to perform Bayesian Survival Analysis using PyMC for biostatistics and clinical data science. Includes code for Cox and Weibull models.
Advertisement Introduction to the COVID-19 Predictor In the wake of the pandemic, numerous tools have emerged to help assess the likelihood of COVID-19 infection. One such tool is the COVID-19 predictor, a machine learning-based predictive model designed to analyze various symptoms and demographic information. This application aims to provide users with the probability of COVID-19…