K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

AM Ikotun, AE Ezugwu, L Abualigah, B Abuhaija… - Information …, 2023 - Elsevier
Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction

M Mirbabaie, S Stieglitz, NRJ Frick - Health and Technology, 2021 - Springer
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …

Artificial intelligence in pharmaceutical and healthcare research

SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …

IoT enabled technology in secured healthcare: applications, challenges and future directions

S Goyal, N Sharma, B Bhushan, A Shankar… - Cognitive Internet of …, 2021 - Springer
In current years, Internet of Things has come a long way and is well emerged within many
organizations and fields covering the sector of healthcare. The continuous execution of IoT …

Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease

MO Edeh, S Dalal, IB Dhaou, CC Agubosim… - Frontiers in Public …, 2022 - frontiersin.org
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …

Recent advances of artificial intelligence in healthcare: A systematic literature review

F Kitsios, M Kamariotou, AI Syngelakis, MA Talias - Applied Sciences, 2023 - mdpi.com
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …

An explainable artificial intelligence framework for the deterioration risk prediction of hepatitis patients

J Peng, K Zou, M Zhou, Y Teng, X Zhu, F Zhang… - Journal of medical …, 2021 - Springer
In recent years, artificial intelligence-based computer aided diagnosis (CAD) system for the
hepatitis has made great progress. Especially, the complex models such as deep learning …

Hybrid intelligence in hospitals: towards a research agenda for collaboration

M Mirbabaie, S Stieglitz, NRJ Frick - Electronic Markets, 2021 - Springer
Successful collaboration between clinicians is particularly relevant regarding the quality of
care process. In this context, the utilization of hybrid intelligence, such as conversational …

Monkeypox diagnosis based on Dynamic Recursive Gray wolf (DRGW) optimization

AI Saleh, SA Hussien - Biomedical Signal Processing and Control, 2024 - Elsevier
The increasing spread of monkeypox recently requires more study, investigation, and
analysis. Not only to understand the different factors that contribute to the spread and …

[HTML][HTML] Perspective of artificial intelligence in disease diagnosis: a review of current and future endeavours in the medical field

VR Umapathy, RDS Raj, S Yadav, SA Munavarah… - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has demonstrated significant promise for the present and future
diagnosis of diseases. At the moment, AI-powered diagnostic technologies can help …