Nature

Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database to predict the glioblastoma patients’ survival outcomes. To assess dataset skewness and detect ...
Nature

Predictive modeling of influenza strain drugs using temperature-based topological indices and regression analysis via multi-criteria decision making techniques

Graph theory is an active area of discrete mathematics that offers a frame through which relationships can be modeled with vertices and edges to deal with complex networks in a large arena of fields.
EurekAlert!

Predictive model of oxaliplatin-induced liver injury based on artificial neural network and logistic regression

When the discriminative and calibration ability was given priority, the ANN model outperformed the LR model in predicting the risk of OILI. Other chemotherapy drugs in oxaliplatin-based chemotherapy ...
TechRepublic

What Is Predictive Analytics?

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...
Forbes

Five Key Trends Shaping The Future Of Predictive Analytics

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. In the current global business landscape, data-driven ...