Medical Applications using Blockchain and Machine Learning
S. Arun Kumar1, Agniva Chakraborty2
1Mr. S. Arun Kumar, Assistant Professor, (Sr. G), Department of CSE, SRM Institute of Science and Technology, Chennai, India.
2Agniva Chakraborty, Scholar, B Tech, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3928-3932 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2666129219/2019©BEIESP | DOI: 10.35940/ijeat.B2666.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Blockchain was particularly used in Cryptocurrency technologies. Prior to 20th century there was no other technologies for determining the health of a person naturally. At the dawn of the 21st Century machine learning played a vital role in determining the health of a person using various algorithms and natural language processing techniques. Now for every machine learning technique to work for it needs data. Data is very important as far as providing information is concerned. Data sharing plays a vital role in improving accuracy of techniques involved. Along the blockchain technology plays a vital role in this aspect. Thus, the merging of these two techniques involve provides highly accurate results in terms of machine learning with privacy and reliability of Blockchain technology. This technique uses natural language processing techniques which focuses basically mainly on healthcare techniques such as cancer detection, prediction of machines used in healthcare etc. Prior to healthcare which is used in blockchain it was used in cryptographic techniques only. Also, this technology can be used to provide medical suggestions to the doctors based on the condition of the patient. The accuracy of this method can be increased more using providing as much data as we can. This combination of Blockchain and machine learning algorithms can be used widely in healthcare, where the data is highly secured and there is no fear of data loss. This paper involves how combining these two technologies can be helpful in healthcare.
Keywords: Blockchain, Natural language processing, algorithms, Cryptocurrency, Data, Accuracy, Prediction.