Niedermeyer E, da Silva FL. Electroencephalography: basic principles, clinical applications, and related fields. Philadelphia: Lippincott Williams & Wilkins; 2004.
Google Scholar
Polat K, Gunes S. Classification of epileptiform EEG using a hybrid system based on decision tree classier and fast fourier transform. Appl Math Comput. 2007;187(2):1017–26.
Google Scholar
Akrami A, Solhjoo S, Motie-Nasrabadi A, Hashemi-Golpayegani M-R. EEG-based mental task classification: linear and nonlinear classification of movement imagery. In: Engineering in medicine and biology society. 2005.
Huang C, Wahlund LO, Dierks T, Julin P, Winblad B, Jelic V. Discrimination of Alzheimer’s disease and mild cognitive impairment by equivalent EEG sources: a cross-sectional and longitudinal study. Clin Neurophysiol. 2000;111(11):1961–7.
Article
CAS
PubMed
Google Scholar
Mohammadi M, Al-Azab F, Raahemi B, Richards G, Jaworska N, Smith D, de la Salle S, Blier P, Knott V. Data mining eeg signals in depression for their diagnostic value. BMC Med Inform Decis Mak. 2015;15:1–108.
Article
Google Scholar
Tatum William O. Handbook of EEG interpretation. New York: Demos Medical Publishing; 2014. p. 155–90.
Book
Google Scholar
Al-Janabi S, Mahdi MA. Evaluation prediction techniques to achievement an optimal biomedical analysis. Int J Grid Util Comput. 2019;10(5):512–27.
Article
Google Scholar
Fiscon G, Weitschek E, Cialini A, Felici G, Bertolazzi P, De Salvo S, Bramanti A, Bramanti P, De Cola MC. Combining EEG signal processing with supervised methods for Alzheimer’s patients classification. BMC Med Inform Decis Mak. 2018;18:1–35.
Article
Google Scholar
Aqil Burney SM, Mahmood N, Abbas Z. Information and communication technology in healthcare management systems: prospects for developing countries. Int J Comput Appl. 2010;4(2):975–8887.
Google Scholar
Al-Janabi S, Alkaim AF. A nifty collaborative analysis to predicting a novel tool (DRFLLS) for missing values estimation. Soft Comput. 2020;24:555–69.
Article
Google Scholar
de Bruin B, Floridi L. The ethics of the cloud. Sci Eng Ethics. 2017;23:21–39.
Article
PubMed
Google Scholar
Mahdi MA, Al-Janabi S. A novel software to improve healthcare base on predictive analytics and mobile services for cloud data centers. In: Farhaoui Y, editor. Big data and networks technologies. BDNT 2019. Lecture notes in networks and systems. Cham: Springer; 2020. p. 81.
Google Scholar
Al-Janabi S, Hussein NY. The reality and future of the secure mobile cloud computing (SMCC): survey. In: Farhaoui Y, editor. Big data and networks technologies. BDNT 2019. Lecture notes in networks and systems. Cham: Springer; 2020. p. 81.
Google Scholar
Rosenthal A, Mork P, Li MH, Stanford J, Koester D, Reynolds P. The Cloud: a new business paradigm for biomedical information sharing. J Biomed Inform. 2010;43:342–53.
Article
PubMed
Google Scholar
Al-Janabi S, Patel A, Fatlawi H, Kalajdzic K, Al Shourbaji I. Empirical rapid and accurate prediction model for data mining tasks in cloud computing environments. In: International congress on technology, communication and knowledge (ICTCK), Mashhad. 2014;1–8.
Li M, Yu S, Ren K, Lou W. Securing personal health records in cloud computing: patient-centric and fine-grained data access control in multi-owner settings. In: Proceedings of the 6th international conference on security and privacy in communication networks. Springer. 2010;89–106.
Kartit Z, Azougaghe A, Kamal Idrissi H, El Marraki M, Hedabou M, Belkasmi M, Kartit A. Applying encryption algorithms for data security in cloud storage. In: Advances in ubiquitous networking: proceedings of UNet. 2015;141–154.
Kocarev L, Sterjev M, Fekete A, Vattay G. Public-key encryption with chaos. Chaos. 2004;14:1078–82.
Article
PubMed
Google Scholar
Smith JP. Authentication of digital medical images with digital signature technology. Radiology. 1995;194:771–4.
Article
CAS
PubMed
Google Scholar
Bethencourt J, Sahai A, Waters B. Ciphertext-policy attribute-based encryption. In: Proceedings of the IEEE symposium on security and privacy (SP '07). 2007;321–334.
Alanazi Hamdan O, Zaidan BB, Zaidan AA., Jalab Hamid A, Shabbir M, Al-Nabhani Y. New comparative study between DES, 3DES and AES within nine factors. J Comput. 2010. arXiv:1003.4085.
Gmail, documents, drive and calendar for companies. https://gsuite.google.com/.
Turner S. The application/pkcs10 Media Type. RFC 5967. https://doi.org/10.17487/RFC5967.
Beniczky S, Aurlien H, Brøgger JC, Fuglsang-Frederiksen A, Martins-da-Silva A, Trinka E, Visser G, Rubboli G, Hjalgrim H, Stefan H, Rosén I, Zarubova J, Dobesberger J, Alving J, Andersen KV, Fabricius M, Atkins MD, Neufeld M, Plouin P, Marusic P, Pressler R, Mameniskiene R, Hopfengärtner R, van Emde BW, Wolf P. Standardized computer-based organized reporting of EEG: SCORE. Epilepsia. 2013;54(6):1112–24.
Article
PubMed
PubMed Central
Google Scholar
Yazan AI, Ottom MA, Tamrawi A. eHealth cloud security challenges: a survey. J Healthc Eng. 2019. https://doi.org/10.1155/2019/7516035.
Article
Google Scholar
Pugazhenthi A, Chitra D. Data access control and secured data sharing approach for health care data in cloud environment. J Med Syst. 2019;43(8):258.
Article
CAS
PubMed
Google Scholar
Ahmed Mariwan MA, Jaiswal T. Augmenting security and accountability within the eHealth Exchange. IBM J Res Dev. 2014;58(1):1–8.
Google Scholar
Basu S, Karp AH, Li J, Pruyne J, Rolia J, Singhal S, Suermondt J, Swami-nathan R. Fusion: managing healthcare records at cloud scale. IEEE Comput. 2012;45(11):42–9.
Article
Google Scholar
Marwan, M.; Kartit, A.; Ouahmane, H. Protecting medical data in cloud storage using fault-tolerance mechanism. In: Proceedings of the 2017 international conference on smart digital environment. 2017;214–219.
Sneha S, Asha P. Privacy preserving on E-Health records based on Anonymization technique. Glob J Pure Appl Math. 2017;13(7):3367–80.
Google Scholar
Ibrahim A, Mahmood B, Singhal M. A secure framework for sharing electronic health records over clouds. In: IEEE international conference on serious games and applications for health (SeGAH). 2016;1–8.
Hwang YH, Lee C, Tzeng S. A new knapsack public-key cryptosystem based on permutation combination algorithm. Inf J Appl Math Comput Sci. 2009;5(1):33–8.
Google Scholar
Sattar JA. An improved knapsack public key cryptography system. Int J Internet Technol Secur Trans. 2011;3(3):310–9.
Article
Google Scholar
Shao Z, Yang B, Zhang W, Zhao Y, Wu Z, Miao M. Secure medical information sharing in cloud computing. Technol Health Care. 2015;23(s1):S133–7.
Article
PubMed
Google Scholar
Wei G, Lu R, Shao J. EFADS: efficient, flexible and anonymous data sharing protocol for cloud computing with proxy re-encryption. J Comput Syst Sci. 2014;80(8):1549–62.
Article
Google Scholar
Chu CK, Chow SSM, Tzeng WG, Zhou J, Deng RH. Key-aggregate cryptosystem for scalable data sharing in cloud storage. IEEE Trans Parallel Distrib Syst. 2014;25(2):468–77.
Article
Google Scholar
Rezaeibagha F, Mu Y. Distributed clinical data sharing via dynamic access-control policy transformation. Int J Med Inform. 2016;89:25–31.
Article
PubMed
Google Scholar
Varshini B, Prem MV, Geethapriya J. A review on secure data sharing in cloud computing environment. Int J Adv Res Comput Eng Technol. 2007;6(3):224–8.
Google Scholar
Thilakanathan D, Chen S, Nepal S, Calvo R, Alem L. A platform for secure monitoring and sharing of generic health data in the Cloud. Future Gener Comput Syst. 2014;35:102–13.
Article
Google Scholar
Tran DH, Hai-Long N, Wei Z, Keong NW. Towards security in sharing data on cloud-based social networks. In: 8th international conference on information, communications and signal processing (ICICS). 2011;1–5.