Big data approach for medical data classification: A review study

S Boyapati, SR Swarna, V Dutt… - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Big data introduces the conventional data that can't be analyzed by using traditionally used
applications. When the big data is processed, it starts with the raw data which is not …

Review on feature selection techniques and the impact of SVM for cancer classification using gene expression profile

G George, VC Raj - arXiv preprint arXiv:1109.1062, 2011 - arxiv.org
The DNA microarray technology has modernized the approach of biology research in such a
way that scientists can now measure the expression levels of thousands of genes …

Big data analytics in healthcare: A survey approach

D Ramesh, P Suraj, L Saini - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
The development of the concept of business intelligence and analysis has emphasized the
importance of the collection, integration, processing of data and reporting of underlying …

[PDF][PDF] A survey of big data analytics in healthcare

MU Sarwar, MK Hanif, R Talib, A Mobeen… - Int. J. Adv. Comput. Sci …, 2017 - academia.edu
Debate on big data analytics has earned a remarkable interest in industry as well as
academia due to knowledge, information and wisdom extraction from big data. Big data and …

[PDF][PDF] A classification model on tumor cancer disease based mutual information and firefly algorithm

SF Jabar - … of Engineering and Natural Sciences (PEN), 2019 - pdfs.semanticscholar.org
Cancer is a globally recognized cause of death. A proper cancer analysis demands the
classification of several types of tumor. Investigations into microarray gene expressions …

An Overview on Bioinformatics

Z Lu, Q Xu, M Al-Rajab, L Chiazor - Research Anthology on …, 2024 - igi-global.com
This chapter presents a thorough background and deep literature review of the current topic
of study. It also presents and defines the key concepts utilised throughout this investigation …

[PDF][PDF] A comparative study of microarray data analysis for cancer classification

K Chitode, M Nagori - International Journal of Computer Applications, 2013 - Citeseer
Cancer is most deadly human disease. According to WHO 7.6 million deaths (around 13% of
all deaths) in 2008 were caused by cancer. A Cancer diagnosis can be achieved with gene …

Classification of Cancer Types Based on RNA HI-SEQ Data Using Dimensionality Reduction

ZF Tunny, MDAH Munna, MDS Hossain… - … Conference on Applied …, 2023 - Springer
Many attempts have been made to enhance the accuracy of cancer classification through
the use of gene expression data. However, the use of extensive data increases the potential …

A new data-driven method for microarray data classification

G Pugalendhi, A Vijayakumar… - International Journal of …, 2016 - inderscienceonline.com
Knowledge gained through classification of microarray gene expression data is increasingly
important as they are useful for phenotype classification of diseases. In this paper we …

[PDF][PDF] Continuous Feature Selection Approaches for Identifying Highly Expressed Genes

JBB Bell, SMC Vigila - researchgate.net
In the recent growing gene expression profiling field, it has the uttermost importance to
identify the highly expressed genes with respect to diseases, so to study the diseases and …