Special Issue: Application of Machine Learning Methods in Bio-medical Informatics
With increasing the number of diseases, it is of vital significance to develop exact, prompt, andreliable methods to diagnose these diseases and predict their performance to cure them. Today,with the development of computer science and engineering, machine learning methods haveemerged as a new way to model sophisticated problems in many industries and medicines.Attractive mathematical properties such as saving the time of calculations, considerableadaptivity, uniform analysis capability, high
... capability, high ability for noise controlling, and great computationalrate are the prime causes of the rapid spreading of smart models. Machine learning methodsenable remarkable advances in the fields of drug discovery, healthcare, genome research,computational biology, etc. By applying machine learning, scientists, doctors and physicians candevelop new exciting personal the rapeutic strategies for living longer and having healthierlifestyles that were unfeasible not that long ago.This special issue aims to present the state of the art machine learning methods that address thebio-medical challenges. In fact, this special issue seeks the latest fundamental advances in thestate of the computational biology and data mining in biological complex data, biomarkerdiscovery and practice of pattern mining algorithms, intelligent models, and related areas. Weare interested not only in papers with strong algorithmic and modelling innovations, but also inworks that have biological models, application-oriented experimental implementations andevaluations.