There has been a rapid growth in the use of automatic decision-making systems and tools in
the medical domain. By using the concepts of big data, deep learning, and machine …

Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …

In this paper an attempt is made to study the unsupervised learning clustering algorithms
such as K-Means, Agglomerative, and Fuzzy C-means Clustering methods. The Nature …

Cardiovascular Disease (CVD) is one among the main factors for the increase in mortality
rate worldwide. The analysis and prediction of this disease is yet a highly formidable task in …

Liver diseases avert the normal activity of the liver. Discovering the presence of liver
disorder at an early stage is a complex task for the doctors. Predictive analysis of liver …

With the growing need for technology to handle and analyze data, Data Mining (DM) is
becoming an important tool to be used in healthcare for several purposes. Data mining …

Background: The liver function tests (LFTs) remain one of the most commonly employed
clinical measures for the diagnosis of hepatobiliary disease. LFTs sometimes referred to as …

In Human beings, Liver is the most primary part of the body that performs many functions
including the production of Bile, excretion of bile and bilirubin, metabolism of proteins and …

Materials and Methods: This study was performed in 468 subjects (194 CRC patients and
274 non-CRC cases). We used the CRC dataset from the Imam Hospital, Sari, Iran. The Chi …

Public health and its related facilities are crucial for thriving cities and societies. The
optimum utilization of health resources saves money and time, but above all, it saves …