Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

Tendency for data mining application in healthcare today is great, because healthcare
sector is rich with information, and data mining is becoming a necessity. Healthcare …

Büyük miktarda veri içerisinden, gizli kalmış, değerli, kullanılabilir bilgileri açığa çıkarmak ve
stratejik karar destek sağlamak amacıyla kullanılan Veri Madenciliği; büyük miktarda veriyle …

In recent decades, healthcare providers have faced mounting pressure to effectively
manage highly perishable and limited medical resources. This article offers a …

Kidney transplantation is the treatment of choice for patients with end-stage renal disease
(ESRD). Prediction of the transplant survival is of paramount importance. The objective of …

Introduction: Prediction of outcomes following allogeneic hematopoietic cell transplantation
(HCT) remains a major challenge. Machine learning (ML) is a computational procedure that …

Now a day's business is growing at a very rapid pace and a lot of information is generated.
The more information we have, based on internal experiences or from external sources, the …

This systematic review focuses on papers dealing with analytical and/or theoretical research
for the application of data mining in healthcare analytics. The integration of healthcare …

The growth of available data in the healthcare led to numerous data mining projects being
launched over the years, that revolves around knowledge discovery. In spite of this, the …

Abstract The Department of Health of Executive Yuan in Taiwan (ROC) is implementing a
five-stage project entitled Electronic Medical Record (EMR) converting all health records …