An integrated approach of block chain technology with machine learning and cloud computing for handling healthcare data
Keywords:
Smart contracts, Blockchain, Decentralized applications, Electronic Healthcare RecordsAbstract
Healthcare industry has become one of the world's important sectors. It is one of the quickestand persistently growing industries. Healthcare Technology focuses mainly on patient's empowerment. Blockchain technology is offering healthier scope for accessing medical records privately. Patient confidentiality can be maintained more effectively using block chain. It is very difficult to hack the data because blockchain makes use of decentralized data storage. Nowadays machine learning is used for understanding the data and for analysing and making decisions in various sectors. It is one of the prominent techniques that are being applied in an extensive range of applications to solve a variety of complex problems. Machine learning plays a vital role in healthcare sector, by offering effective methods by saving time, effort and money. Convergence of blockchain technology with machine learning and cloud computing provides extremelyenriched functionalities and services which enables the healthcare industry to revolutionize with substantial results for medical professionals. For experimental results, Ethereum is used. In the proposed work, the patients can also get the disease details using machine learningconcept by providing their symptoms.
Downloads
References
Alex Mu-HsingKuo (2011), ‘Opportunities and Challenges of Cloud Computing to Improve Health Care Services’, Journal of Medical Internet Research, vol. 13 , issue- 3.
Matthew N. O. Sadiku, Kelechi G. Eze and Sarhan M. Musa (2018), “Block chain Technology in Healthcare”, International Journal of Advances in Scientific Research and Engineering, Volume 4, Issue 5.
OzerCelik, SerthanSalihAltunaydin (2018), “A Research on Machine Learning Methods and Its Applications”, Journal of Educational Technology & Online Learning Volume 1, Issue 3.
Dr.RanjanaRajnish (2018), “Designing Framework for better Healthcare using Cloud computing”, International Journal of Engineering Sciences & Research Technology, 7(5), 569-574.
MalavikaM.B ,RichaKumari , Nihara S.M (2019), “Blockchain Technology in Electronic Health Record System”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 8, Issue4.
B. Narendra Kumar Rao, B. BhaskarKumar Rao,Vellingiri J (2019) ,“Block chain Based Implementation of Electronic Medical Health Record”, International Journal of Innovative Technology and Exploring Engineering , Volume-8 Issue-8 June.
SweetyBakyarani. E, Dr.Srimathi.H ,Dr. M. Bagavandas (2019), “A Survey Of Machine Learning Algorithms In Health Care”, International Journal of Scientific & Technology Research ,Volume 8, Issue 11.
Dr.Krishan Kumar Goyal, Aejaz Hassan Paray (2019), “A Survey of Different Approaches of Machine Learning in Healthcare Management System”, International Journal Advanced Networking and Applications, Volume: 11 Issue: 03, 4270-4276.
ArwinderDhillon, Ashima Singh (2019), “Machine Learning in Healthcare Data Analysis: A Survey”, Journal of Biology and Today's World, 8 (2), 1-10.
BL Radhakrishnan, A Sam Joseph, S. Sudhakar (2019), Securing Blockchain based Electronic Health Record using Multilevel Authentication, 5th International Conference on Advanced Computing & Communication Systems, 978-1-5386-9533-3, IEEE.
Andre Henrique Mayer, Cristiano Andre da Costa and Rodrigo da Rosa Righi (2020), “Electronic health records in a Blockchain: A systematic review”, Health Informatics Journal, Vol. 26(2) 1273–1288.
KaustubhArunBhavsar , Jimmy Singla , Yasser D. Al-Otaibi , Oh-Young Song Yousaf Bin Zikria and Ali Kashif Bashir (2021) , “ Medical Diagnosis Using Machine Learning: A Statistical Review”, Computers, Materials & Continua CMC, vol.67, no.1.
Chandrasekhar RaoJetti , RehamatullaShaik , SadhikShaik , SowmyaSanagapalli (2021),“ Disease Prediction using Naïve Bayes - Machine Learning Algorithm”,International Journal of Science and Healthcare Research,Vol.6, Issue: 4.
Singh, Ravi Pratap, Haleem, Abid, Javaid, Mohd, Kataria, Ravinder, Singhal, Sandeep (2021), “Cloud Computing in Solving Problems of COVID-19 Pandemic”, Journal of Industrial Integration and Management,6(2).
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.








