International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly peer-reviewed online and print journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: Cancer is a heterogeneous disease. There are various options available for cancer treatment. Type of cancer treatment is influenced by various factors such as cancer type, the severity of cancer and the most important is genetic heterogeneity. So in such complex environment, the targeted drug treatments are likely to be irresponsive or respond differently. To study the anticancer drug response we need the classification of cancerous profile. Hence, there is a need to analyze cancer data for predicting optimal treatment option. Analysis of cancerous profile predicts and discovers potential drugs and drug targets. Main aim is to provide machine learning based classification technique for cancerous profile.

Keywords: Cancer, Machine learning techniques, Neural Network (NN) and Support Vector Machine (SVM)

PDF | DOI: 10.17148/IJIREEICE.2019.7210

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