In this context, using prognostic modelling approaches through machine learning technics emerges as a promising solution. Objectives We aim to assess the ability of several machine learning techniques ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients with sepsis complicated by acute respiratory failure. Using routinely ...
Outcomes with neoadjuvant chemotherapy in bladder-preserving treatment for MIBC. Any Complication Random Forest 0.662 0.66 Op Time, GFR, BMI, Surg. Approach Infectious Complication Random Forest 0.615 ...
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