
Aprenda análise de sobrevivência em dados de câncer usando R. Tutorial prático sobre pipeline de análise, uso de dados TCGA, expressão gênica e modelagem preditiva para pesquisa biomédica.

Explore deep learning survival analysis for precise credit risk prediction in consumer lending, combining traditional methods with advanced techniques for improved time-to-event forecasting.

Explore deep learning models for survival analysis, applying them to predict time-to-event outcomes in various fields like credit, machinery, and healthcare with Louise Ferbach.

Explore reliable machine learning techniques for healthcare applications, focusing on survival models, dependent censoring, and covariate shift detection to enhance medical decision-making.

Explore data-driven methods to measure and improve security capabilities in rapidly scaling businesses, focusing on quantitative strategies and decision analysis techniques.

Delve into survival analysis methods for evaluating health technologies, focusing on modeling time spent in different health states and predicting resource outcomes.

Explore relative survival analysis in cancer studies using NetSurvival.jl, a Julia package offering fast, reliable tools for extracting net survival curves and integrating with StatsModels.jl API.