The purpose of this study was to explore the establishment of an auxiliary scoring model for patients with acute pulmonary embolism (APE) complicated with atrial fibrillation (AF) based on random forest (RF) and its application effect.A retrospective analysis was performed on the general data, underlying diseases, laboratory indicators, and cardiac
Animal and clinical studies of Holders gene-environment interactions have helped elucidate the mechanisms involved in the pathophysiology of several mental illnesses including anxiety, depression and schizophrenia; and have led to the discovery of improved treatments.The study of neuropeptides and their receptors is a parallel frontier of neuropsyc
Up-to-date maps of a city’s urban structure types (USTs) are very important for effective planning, as well as for different studies and applications.We present an approach for the classification of USTs at the level of urban blocks based on high-resolution spaceborne radar imagery.Images obtained at the satellite’s ascending and descen
Nowadays, High-Density Polyethylene (HDPE) polymers are widely being used and its products are preferable than metals having the properties such as lightweight, ease of manufacture, stronger and tough.This makes HDPE polymers as the top choice by manufacturers.However, one of the drawbacks is that this polymer takes time to decay and affects the en
In this study, we compared the performance of Random Forest Classifier and Decision Tree using classification evaluation methods.The results showed that Random Forest Thermostats Classifier had a higher overall accuracy rate but also produced more outliers.On the other hand, Decision Tree demonstrated consistency in classification with fewer outlie