Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Artificial intelligence and machine learning in precision and genomic medicine

S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks

P Kumar, GP Gupta, R Tripathi - Computer Communications, 2021 - Elsevier
Abstract Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is
addressing countless limitation of traditional health-care systems such as quality of patient …

An exhaustive survey on security and privacy issues in Healthcare 4.0

JJ Hathaliya, S Tanwar - Computer Communications, 2020 - Elsevier
The healthcare industry has revolutionized from 1.0 to 4.0 where Healthcare 1.0 was more
doctor centric and Healthcare 2.0 replaced manual records with electronic healthcare …

Big data analytics in healthcare: a systematic literature review

S Khanra, A Dhir, AKMN Islam… - Enterprise Information …, 2020 - Taylor & Francis
The current study performs a systematic literature review (SLR) to synthesise prior research
on the applicability of big data analytics (BDA) in healthcare. The SLR examines the …

Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: A survey, current challenges and future directions

S Krishnamoorthy, A Dua, S Gupta - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Since its inception, Healthcare 4.0 has empowered the integration of advanced
technologies to create and improve the quality of healthcare services. The delivery of …

[HTML][HTML] Application of machine learning and data visualization techniques for decision support in the insurance sector

S Rawat, A Rawat, D Kumar, AS Sabitha - International Journal of …, 2021 - Elsevier
The insurance industry has a giant role in the sustainable economic growth of any country.
With an increase in the number of insurance buyers, it has become an absolute necessity for …

Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts

A Ahmed, R Xi, M Hou, SA Shah, S Hameed - IEEE Access, 2023 - ieeexplore.ieee.org
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

A review of artificial intelligence, big data, and blockchain technology applications in medicine and global health

VK Chattu - Big Data and Cognitive Computing, 2021 - mdpi.com
Artificial intelligence (AI) programs are applied to methods such as diagnostic procedures,
treatment protocol development, patient monitoring, drug development, personalized …