Prediction and Recommendation of Precision Medicine for Cancer using Machine Learning Techniques
Reena Lokare1, Sunita Patil2

1Ms. Reena Lokare, Asst. Prof. Department of Computer Engineering, PHCET, Rasayani, University of  Mumbai, India.
2Dr. Sunita Patil, Professor & Vice Principal, K.J. Somaiya Institute of Engineering & Information Technology, Sion, Mumbai University of Mumbai, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 792-795 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3727129219/2020©BEIESP | DOI: 10.35940/ijeat.B3727.129219
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Abstract: Cancer is one of the major causes of death by disease and treatment of cancer is one of the most crucial phases of oncology. Precision medicine for cancer treatment is an approach that uses the genetic profile of individual patients. Researchers have not yet discovered all the genetic changes that causes cancer to develop, grow and spread. The Neuro-Genetic model is proposed here for the prediction and recommendation of precision medicine. The proposed work attempts to recommend precision medicine to cancer patients based upon the past genomic data of patient’s survival. The work will employ machine learning (ML) approaches to provide recommendations for different gene expressions. This work can be used in caner hospitals, research institutions for providing personalized treatment to the patient using precision medicine. Precision medicine can even be used to treat other complex diseases like diabetes, dentistry, cardiovascular diseases etc. Precision medicine is the kind of treatment to be offered in the near future.
Keywords: Genome, Oncology, Neuro-genetic model, Precision medicine, Machine learning.