NeuroinformaticsNatural Language Processing (NeuroNLP) relies on clustering and
classification for information categorization of biologically relevant extraction targets and for …

Keyword Extraction is the most important task while working with the text data. Extracting
Keywords benefit the reader as to judge the important part of text instead of going through …

Methods The first step towards the integration of PubMed with the BredeQuery plug-in is
efficient keyword extraction from abstracts returned by the Brede Database (Nielsen, 2003) …

Medical and healthcare study programmes are quite complicated in terms of branched
structure and heterogeneous content. In logical sequence a lot of requirements and …

Classification of brain tumor using Magnetic resonance Imaging (MRI) is a difficult task due
to the variance and complexity of tumors. This paper presents Neural Network techniques for …

We have developed a program NeuroText to populate the neuroscience databases in
SenseLab (http://senselab. med. yale. edu/senselab) by mining the natural language text of …

The named entity extraction to improve not only the keyword search but become an
essential element for semantic annotation and it opened the door for recognition of medical …

Medicai and healthcare study programmes cover various curricula consisting of many
theoretically focused courses and clinical teaching training. Curriculum attributes usually …

In both children and middle aged adults, brain tumors are considered as one of the most
dangerous diseases. Brain Tumors are classified as: Malignant Tumor, Benign Tumor …

Machine Learning has a significant role in each person's daily life and plays a vital role in
making life easier by contributing to various models where the machines learn and do the …