The aim of this study is to evaluate the ability of the random forest algorithm that combines data on transrectal ultrasound findings, age, and serum levels of prostate-specific antigen to predict prostate carcinoma. Clinico-demographic data were analyzed for 941 patients with prostate diseases treated at our hospital, including age, serum prostate-specific antigen levels, transrectal ultrasoun...

As one of the entertainment consumption products, pop music attracts more and people’s attention. In context big data, many listeners can determine development trend to a large extent. order predict music, we dig analyze audience’s preferences deeply based on massive user data. This paper proposes prediction method improved LSTM random forest algorithm. The algorithm first performs abnormal dat...

Abstract. Quantitative precipitation estimation (QPE) is a difficult task, particularly in complex topography, and requires the adjustment of empirical relations between radar observables quantities, as well methods to transform observations aloft estimations at ground level. In this work, we tackle classical problem with new twist, by training random forest (RF) regression learn QPE model dire...

Due to the ever-growing threat of malware application, diverse detection mechanism has been developed byresearchers. Malware relates procedure finding on a host device or determining whether particular program ismalicious benign. An instance is an anti-malware designed automatically identify malicious programs from benign prevent damage system.The methodologyusedincorporatedcutting-edge techniq...

Enlarged lymph nodes may indicate the presence of illness. Therefore, identification and measurement of lymph nodes provide essential biomarkers for diagnosing disease. Accurate automatic detection and measurement of lymph nodes can assist radiologists for better repeatability and quality assurance, but is challenging as well because lymph nodes are often very small and have a highly variable s...