Breast cancer is one of the leading cancers for women in developed countries including
India. It is the second most common cause of cancer death in women. The high incidence of …

In this paper, we propose a novel method that combines PubMed knowledge and Electronic
Health Records to develop a weighted Bayesian Network Inference (BNI) model for …

The amount of data in electronic and real world is constantly on the rise. Therefore,
extracting useful knowledge from the total available data is very important and time …

Background In non-small-cell lung cancer radiotherapy, radiation pneumonitis≥ grade 2
(RP2) depends on patients' dosimetric, clinical, biological and genomic characteristics …

Machine learning is a branch of artificial intelligence that incorporate a variety of statistical,
probabilistic and optimization techniques that allow computers to “learn” from past examples …

This manuscript reports preliminary results obtained by combining estimates of two or three
(among seven) quantitative ultrasound (QUS) parameters in a model-free, multi-parameter …

There are growing concerns about the mortality due to Breast cancer many of which often
result from delayed detection and treatment. So an effective computational approach is …

Data Mining [DM] has exceptional and prodigious potential for examining and analyzing the
vague data of the medical domain. Where these data are used in clinical prognosis and …

BACKGROUND: In this research, a decision making system, based on fuzzy inference
mechanism as proposed by Mamdani, is presented. Literature suggests that there is a lack …

Breast cancer is a major terminal disease that occurs largely among females. This disease
stems from abnormal mutations in the genes of normal cells, thereby resulting in …