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 …

Motivation: The amount of sequenced genomes and proteins is growing at an
unprecedented pace. Unfortunately, manual curation and functional knowledge lag behind …

The Cardiotocography is the most broadly utilized technique in obstetrics practice to monitor
fetal health condition. The foremost motive of monitoring is to detect the fetal hypoxia at early …

Background Since primary data collection can be time-consuming and expensive, surgical
site infections (SSIs) could ideally be monitored using routinely collected administrative …

The impact of internet and information systems across various domains have resulted in
substantial generation of multidimensional datasets. The use of data mining and knowledge …

In obstetrics, cardiotocography is a procedure to record the fetal heartbeat and the uterine
contractions usually during the last trimester of pregnancy. It helps to monitor patterns …

The huge amount of health data attracts machine learning (ML) techniques to medical
classification, and, through learning strategies, obtain remarkable results. Some techniques …

Pneumonia is a life-threatening disease that occurs in the lungs and is caused by a bacterial
or viral infection. However, it is very difficult to diagnose it by simply loo ing at chest x-rays …

Breast cancer is emerging as a torrid research area which attacks the women at an
unprecedented rate. In this research we have concentrated on prediction of the breast …

Background Acute kidney injury (AKI) is a serious complication after cardiac surgery. We
derived and internally validated a Machine Learning preoperative model to predict cardiac …