Innovations in Healthcare through Computational Intelligence- A Study of Smart Technologies and AI

Nazish Adeel; Nudrat Fatima

doi:10.55524/ijircst.2024.12.4.6

Abstract

The use of Computational Intelligence in healthcare, explored in this thesis, has greatly advanced the digitization of medical services. Computational Intelligence enables computers to perform tasks that typically require human intelligence. In healthcare, it has led to significant innovations, such as improved drug development and better screening of patients for clinical trials. One of its main applications is in disease diagnostics, where it has shown high efficiency and accuracy, particularly in fields like medical imaging, neurology, cardiology, diabetes, movement disorders, and mental health. However, despite its benefits, there are still ethical challenges and uncertainties about how to validate its use effectively. Computational Intelligence has the potential to revolutionize patient care, especially in diagnosing diseases. It leverages the vast amounts of healthcare data available and the advancements in computer technology to provide quick and accurate results. The work focuses on exploring the literature surrounding Computational Intelligence in healthcare diagnostics and examining how patients perceive its use. It divides patients into two groups: those who don't use wearable devices and those who do. Through qualitative research methods like snowball sampling and thematic analysis, the study aims to identify common applications of Computational Intelligence in diagnostic healthcare, understand patients' attitudes towards it, investigate what motivates them to adopt diagnostic wearables, and uncover any concerns they may have.

Keywords

Computational Intelligence, artificial neural networks, atrial fibrillation, Big Data, data protection, deep learning, diabetes, machine learning, movement disorder, neurology, Oura ring.

References

[1] M. M. Tripathi, M. Haroon, Z. Khan, and M. S. Husain, "Security in digital healthcare system," Pervasive Healthcare: A Compendium of Critical Factors for Success, pp. 217-231, 2022. https://doi.org/10.1177/09702385241233073

[2] M. Haroon, D. K. Misra, M. Husain, M. M. Tripathi, and A. Khan, "Security issues in the internet of things for the development of smart cities," in Advances in Cyberology and the Advent of the Next-Gen Information Revolution, IGI Global, 2023, pp. 123-137. https://doi.org/10.4018/978-1-5225-9199-3.ch010

[3] O. T. Olaniyan, C. O. Adetunji, M. J. Adeniyi, and D. I. Hefft, "Computational intelligence in IoT healthcare," in Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics, CRC Press, 2022, pp. 297-310. https://doi.org/10.1016/B978-0-12-821472-5.00018-1

[4] S. De, R. Das, S. Bhattacharyya, and U. Maulik, Eds., Applied Smart Health Care Informatics: A Computational Intelligence Perspective. John Wiley & Sons, 2022. https://doi.org/10.1002/9781119743187.ch1

[5] Z. A. Siddiqui and M. Haroon, "Research on significant factors affecting adoption of blockchain technology for enterprise distributed applications based on integrated MCDM FCEM-MULTIMOORA-FG method," Engineering Applications of Artificial Intelligence, vol. 118, p. 105699, 2023. https://doi.org/10.1016/j.engappai.2022.105699

[6] M. Haroon and M. Husain, "Interest attentive dynamic load balancing in distributed systems," in 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), 2015, pp. 1116-1120. https://ieeexplore.ieee.org/document/7100421

[7] M. S. Husain and D. M. Haroon, "An Enriched Information Security Framework from Various Attacks in the IoT," International Journal of Innovative Research in Computer Science & Technology (IJIRCST), vol. 8, no. 4, July 2020. https://doi.org/10.21276/ijircst.2020.8.4.3

[8] P. Singh, O. Kawartha, N. Sindhwani, V. Jain, and R. Anand, Eds., Networking Technologies in Smart Healthcare: Innovations and Analytical Approaches. CRC Press, 2022. https://doi.org/10.1201/9781003239888

[9] R. Manju, P. Harinee, S. S. Gangolli, and N. Bhuvana, "Evolution of computational intelligence in modern medicine for health care informatics," in Translating Healthcare Through Intelligent Computational Methods, Cham: Springer International Publishing, 2023, pp. 395-411. https://doi.org/10.1007/978-3-031-27700-9_24

[10] M. Haroon and M. Husain, "Analysis of a dynamic load balancing in multiprocessor system," International Journal of Computer Science Engineering and Information Technology Research, vol. 3, no. 1, 2013. https://doi.org/10.1016/j.pisc.2016.06.021

[11] W. Khan, M. Haroon, A. N. Khan, M. K. Hasan, A. Khan, U. A. Mokhtar, and S. Islam, "DVAEGMM: Dual variational autoencoder with gaussian mixture model for anomaly detection on attributed networks," IEEE Access, vol. 10, pp. 91160-91176, 2022. https://doi.org/10.1109/ACCESS.2022.3201332

[12] M. S. Husain, "A review of information security from consumer’s perspective especially in online transactions," International Journal of Engineering and Management Research, vol. 10, 2020. https://doi.org/10.31033/ijemr.10.4.2

[13] A. M. Khan, S. Ahmad, and M. Haroon, "A comparative study of trends in security in cloud computing," in 2015 Fifth International Conference on Communication Systems and Network Technologies, 2015, pp. 586-590. https://doi.org/10.1109/ICAC3N60023.2023.10541394

[14] Z. A. Siddiqui and M. Haroon, "Application of artificial intelligence and machine learning in blockchain technology," in Artificial Intelligence and Machine Learning for EDGE Computing, Academic Press, 2022, pp. 169-185. https://doi.org/10.1016/B978-0-12-824054-0.00001-0

[15] S. Srivastava, M. Haroon, and A. Bajaj, "Web document information extraction using class attribute approach," in 2013 4th International Conference on Computer and Communication Technology (ICCCT), 2013, pp. 17-22. https://doi.org/10.1109/ICCCT.2013.6749596

[16] W. Khan and M. Haroon, "An unsupervised deep learning ensemble model for anomaly detection in static attributed social networks," International Journal of Cognitive Computing in Engineering, vol. 3, pp. 153-160, 2022. https://doi.org/10.1016/j.ijcce.2022.08.002

[17] D. Lee and S. N. Yoon, "Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges," International Journal of Environmental Research and Public Health, vol. 18, no. 1, p. 271, 2021. https://doi.org/10.52783/tjjpt.v44.i3.2466

[18] A. Amjad, P. Kordel, and G. Fernandes, "A review on innovation in healthcare sector (telehealth) through artificial intelligence," Sustainability, vol. 15, no. 8, p. 6655, 2023. https://doi.org/10.1016/j.techsoc.2023.102321

[19] K. T. Chui, M. D. Lytras, A. Visvizi, and A. Sarirete, "An overview of artificial intelligence and big data analytics for smart healthcare: requirements, applications, and challenges," in Artificial Intelligence and Big Data Analytics for Smart Healthcare, 2021, pp. 243-254. https://doi.org/10.1016/B978-0-12-822060-3.00015-2

[20] C. O. Adetunji, W. Nwankwo, A. S. Olayinka, O. T. Olugbemi, M. Akram, U. Laila, and N. D. Esiobu, "Computational intelligence techniques for combating COVID-19," in Medical Biotechnology, Biopharmaceutics, Forensic Science and Bioinformatics, CRC Press, 2022, pp. 251-269. https://doi.org/10.1109/MCI.2020.3019873

Cites this article as

N. Adeel, N. Fatima, "Innovations in Healthcare through Computational Intelligence- A Study of Smart Technologies and AI", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), vol. 12, no. 4, pp. 38-42, 2024. doi: https://doi.org/10.55524/ijircst.2024.12.4.6

Corresponding Author

Nazish Adeel

M.Tech Scholar, Department of Computer Science & Engineering, Integral University, Lucknow, Utter Pradesh, India

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