Neural networks are powerful tools used widely for building cancer prediction models from
microarray data. We review the most recently proposed models to highlight the roles of …

Lung cancer is the major cause of cancer‐related death in this generation, and it is expected
to remain so for the foreseeable future. It is feasible to treat lung cancer if the symptoms of …

Cancer is the major leading reason of death around the world. However, the early
identification and prediction of a cancer type is very critical for patient's health. Recently …

Therapeutic issues are commonly found in every single person. Tumor is a standout among
the most unsafe sicknesses a human can ever had. It is exceptionally hard to distinguish it in …

Medical data classification is an important factor in improving diagnosis and treatment and
can assist physicians in making decisions about serious diseases by collecting symptoms …

The wide availability of electronic medical data from multiple sources, such as clinical
settings and wearable devices, evidences an important opportunity for the analysis of non …

A good dimensional reduction technique is needed to apply and improve the effectiveness
of dimensionality reduction for medical data. High-dimensional data brings great challenges …

Several types of research adapted to classify or diagnosis eye diseases using different
classification techniques with different feature extraction techniques as well as with different …

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers
exciting developments at the intersection of computer science and statistics. While much of …

The human eye is the most important organ among the five senses, so early detection of
external eye diseases has become an important issue in medicine. Pattern recognition has a …