The most frequently occurring cancer among Indian women is breast cancer. There is a
chance of fifty percent for fatality in a case as one of two women diagnosed with breast …

Due to the large number of documents available in the internet, emails and digital libraries,
document classification is becoming a crucial task extremely required. It is commonly …

Handwritten character recognition is one of the practically important issues in pattern
recognition applications. The applications of digit recognition include in postal mail sorting …

In this paper investigation of the performance criterion of a machine learning tool, Naive
Bayes Classifier with a new weighted approach in classifying breast cancer is done. Naive …

Classification is the most commonly applied machine learning technique that classifies large
population of records based on the training set and the feature values. The important task of …

Naive Bayes is one of the most effective statistical and probabilistic classification algorithms.
As health care environment is “information loaded” but “knowledge deprived”. So to extract …

Every day the number of devices interacting through telecommunications networks grows
resulting into an increase in the volume of data and information generated. At the same time …

Chronic diseases represent a serious threat to public health across the world. It is estimated
at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic …

Medical professionals need a reliable prediction methodology to diagnose hematological
data comments. There are large quantities of information about patients and their medical …

This paper is the comparison of classification algorithms for breast cancer based on tumor
cell. We focus on using deep learning algorithms to classify types of breast cancer with …