Proteins play important roles in living organisms, and their function is directly linked with
their structure. Due to the growing gap between the number of proteins being discovered …

Background Acute myocardial infarction (AMI) is a serious cardiovascular disease, followed
by a high readmission rate within 30-days of discharge. Accurate prediction of AMI …

Machine learning is concerned with the development, the analysis and the applications of
algorithms that allow computers to learn. Supervised learning is the machine learning task of …

Genetic programming (GP) has received considerable successes in machine learning tasks
such as prediction and classification. Ensemble learning enables the collaboration of …

In the present era of pool of technologies, the technical world is drastically shifting to artificial
intelligence and all its application areas. One among such unprecedented areas of artificial …

Percutaneous coronary intervention (PCI) is a vital treatment method for coronary artery
disease, but the unstructured nature of its clinical data makes it challenging to utilize directly …

For the pharmaceutical industry, the discovery of a new drug presents an enormous
scientific challenge, and consists essentially in the identification of the target responsible for …

In this study, a stacking ensemble model is proposed to predict in-hospital mortality for
NSTEMI. The stacking ensemble model uses a two-tier structure to improve the performance …

The interrelated complex protein sequence databases are brimming day by day with the
rapid advancement in technology. The sophisticated computational techniques are required …

Protein Function Prediction is important for its numerous applications in the field of drug
discovery, gene ontology and its role in the complex structure formation. HPRD (Human …