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Outcome Prediction Models in Healthcare: RWD Predictive Analytics Guide Released

MEDDDICAL releases a guide for pharma data scientists and RWE Directors on building outcome prediction models with real-world ...
Nature

Spiking neural networks for predictive and explainable modelling of multimodal streaming data with a case study on financial time series and online news

In a first study, this paper argues and demonstrates that spiking neural networks (SNN) can be successfully used for predictive and explainable modelling of multimodal streaming data. The paper ...
Forbes

Predictive Analytics—Why It Matters And How AI Supercharges It

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...
Nature

Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods

Postoperative venous thromboembolic events (VTEs), such as lower extremity deep vein thrombosis (DVT), are major risk factors for gastric cancer (GC) patients following radical gastrectomy. Accurately ...