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Research Article

Disease prediction model for secure patient data over cloud using machine learning

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References

  • A. A. Neloy, S. Alam, R. A. Bindu and N. J. Moni, “Machine Learning based Health Prediction System using IBM Cloud as PaaS,” 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019, pp. 444-450, doi: https://doi.org/10.1109/ICOEI.2019.8862754.
  • Ashfaq, Z.; Mumtaz, R.; Rafay, A.; Zaidi, S.M.H.; Saleem, H.; Mumtaz, S.; Shahid, A.; Poorter, E.D; Moerman, I. Embedded AI-Based Digi-Healthcare. Appl. Sci. 2022, 12, 519. https://doi.org/https://doi.org/10.3390/app12010519
  • Abdelaziz, Ahmed & Elhoseny, Mohamed & Salama, Ahmed & Riad, Alaa el-din. (2018). A Machine Learning Model for Improving Healthcare services on Cloud Computing Environment. Measurement. 119. https://doi.org/10.1016/j.measurement.2018.01.022.
  • Neloy, A A, et. Al. “Early Health Prediction System for ICU Patient using Machine Learning and Cloud Computing” EasyChair preprints, 2019, https://easychair.org/publications/preprint/X3lJ
  • Raheja K, Dubey A, Chawda R. Data analysis and its importance in health care. International Computer Trends and Technology J. 2018;48:176–180.
  • Anna Roy Advisor (Industry) NITI Aayog, Discussion Paper “National Strategy for AI in Health care”, 2018
  • Wong A, Young AT, Liang AS, Gonzales R, Douglas VC, Hadley D. Development and validation of an electronic health record– based machine learning model to estimate delirium risk in newly hospitalized patients without known cognitive impairment. JAMA Network Open. 2018;1(4):e181018.
  • Panahiazar M, Taslimitehrani V, Pereira N, Pathak J. Using EHRs and machine learning for heart failure survival analysis. Stud Health Technology Information2015; 216:240.
  • Md Ashraf Uddain, Andrew Stranieri, iqbal Gondal “Dynamically Recommending Repositories for Health Data: Machine Learning Modal”, ACM Digital Library article no. 24
  • Shailaja, K., Seetharamulu, B., Jabbar, M., “Machine Learning in Healthcare: A Review” doi: https://doi.org/10.1109/ICECA.2018.8474918 pp: 910-914
  • Alpaydin E. Introduction to Machine Learning. MIT press;2009
  • Jabbar M.A, et. Al, “The Future of Health care: Machine Learning”, International Journal of Engineering & Technology, 7 (4.6) (2018) 23-25
  • Zaid Sako, Sasan Adibi, Nilmini wikramasinghe “Addressing Data Accuracy and Information Integrity in mHealth Solutions Using Machine Learning Algorithms”, Delivering Superior Health and Wellness Management with IoT and Analytics pp 345-359
  • Dagli Y, Choksi S, Roy S. Prediction of two year survival among patients of non-small cell lung cancer. ICCMIA. 2019;31:169-177.
  • Kayal CK, Bagchi S, Dhar D, Maitra T, Chatterjee S. Hepatocellular carcinoma survival prediction using deep neural network. Proceedings of International Ethical Hacking Conference. 2019;349–358.
  • Rahimian F, Salimi-Khorshidi G, Pay-berah AH, Tran J, Solares RA, Raimondi F, et al. Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records. PLoS Med. 2018;15(11): e1002695.
  • Weng SF, Reps J, Kai J, Garibaldi JM, Qureshi N. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PloS One. 2017;12(4): e0174944.
  • Holzinger & R. Freund; Tutors: M. Bloice, B. Malle Machine Learning for Health Informatics
  • Marr B. First FDA approval for clinical Cloud-Based Deep Learning in Healthcare. 2017

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