Nowadays, in the topics related to prediction, in addition to increasing the accuracy of
existing algorithms, the reduction of computational time is a challenging issue that has …

Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates
accurate prediction models for early diagnosis and effective treatment. Machine learning …

Abstract Hepato-Cellular Carcinoma (HCC) is the most common type of liver cancer that
often occurs in people with chronic liver diseases such as cirrhosis. Although HCC is known …

To improve the computational efficiency and classification accuracy in the context of big
data, an optimized parallel random forest algorithm is proposed based on the Spark …

The accurate prediction of postoperative survival time of patients with Barcelona Clinic Liver
Cancer (BCLC) stage B hepatocellular carcinoma (HCC) is important for postoperative …

In adults, hepatocellular carcinoma (HCC) is the most frequent type of liver cancer. Due to
the disease's modest symptoms, it is a very difficult challenge for medical experts to identify …

This paper shall discuss the process of making one of the first Computer Role-Playing
Virtual Reality Games that take advantage of the underutilized hand-tracking technology …

A country's economy is important for its growth and development. A well-performed economy
describes the quality living of the citizens. For assessing the health of nation's economy the …

Using the CIFAR-10 dataset, this research investigates how parallel processing affects the
Random Forest method's machine learning performance. Accuracy and training time are …

Liver disease ranks as the eleventh leading cause of global mortality. A significant 75% of all
liver cancer cases are reported in Asia, with Vietnam having the highest incidence rate of …