Using Blockchain Technology, Artificial and Natural Neural Network in Bioinformatics

Using Blockchain Technology, Artificial and Natural Neural Network in Bioinformatics

Lubov A. Belyanina (Development Education, Astrakhan State University, Astrakhan, Russian Federation)
Copyright: © 2019 |Pages: 8
DOI: 10.4018/IJARB.2019070104

Abstract

Blockchain technology has come up with solutions for the issues faced in the current healthcare system. Stakeholders and researchers can share electronic health records to find the solution to diseases. This not only improves the health sector, but it also provides information about other diseases. To maintain the security and privacy of the patient, a healthcare data gateway storage platform was created based on the blockchain technique. To overcome the problem, this article proposes a dengue diagnosis method based on nucleotides in the gene sequence, it needs only skin cells, hair, or a nail which can be collected easily from the patients. The proposed method not only diagnoses dengue, but also classifies serotypes using wavelet coefficients of EIIP indicator sequences.
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Review Of Literature

Numbers of different disease prediction models are used in medical diagnosis systems which are using data mining and machine learning techniques like Bayesian classification, decision tree, regression model, neural network, single best model and ensemble model. The different machine learning techniques (supervised, semi supervised, unsupervised, deep learning and reinforcement) and classification algorithms (Decision tree, kNN, Artificial Neural Network) are used in diagnosing different diseases such as Heart, dengue and cancer (Razia, prathyusha, Krishna & sumana, 2017).

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