Healthcare security using blockchain for pharmacogenomics
Keywords:
Blockchain, Encryption, Healthcare, Pharmacogenomics, SNP, Deep Learning, Ovarian Cancer.Abstract
Background: The big data analytics in health care necessitates the need of security while handling the person specific data
obtained through pharmacogenomic as well as deep learning approaches. Secure sharing of data between researchers and
medical practitioners can be made by introducing health care security where a platform can be created between the client
and the server.
Materials and Methods: In this analysis we have developed an early detection tool for ovarian cancer using
pharmacogenomic as well as one shot learning algorithm of deep learning technique.
Result and Discussion: The model contains a deep CNN Siamese network which was trained using 128093505 parameters
with 140 training classes and 14 test classes that showed an accuracy of 86%. Health care security has been applied to this
model by using Advanced Encryption Standard(AES), Data Encryption Standard(DES), DNA encryption and a
comparative analysis has been carried out among the three where AES was found to be most efficient while considering the
crypto ++ 6.0.0 standards.
Conclusion: A secure sharing platform has been developed using blockchain technique
