A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges

S Kaur, Y Kumar, A Koul, S Kumar Kamboj - Archives of Computational …, 2023 - Springer
There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

Artificial intelligence-enabled healthcare delivery

S Reddy, J Fox, MP Purohit - Journal of the Royal Society of …, 2019 - journals.sagepub.com
In recent years, there has been massive progress in artificial intelligence (AI) with the
development of deep neural networks, natural language processing, computer vision and …

The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges

G Aceto, V Persico, A Pescapé - Journal of Network and Computer …, 2018 - Elsevier
Abstract Progress in Information and Communication Technologies (ICTs) is shaping more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …

Expert systems: Definitions, advantages and issues in medical field applications

A Saibene, M Assale, M Giltri - Expert Systems with Applications, 2021 - Elsevier
The aim of this review is to provide a broad overview of the state-of-the-art works mainly
published in the last ten years on expert systems applied in different medical domains …

Responsible artificial intelligence (AI) for value formation and market performance in healthcare: The mediating role of patient's cognitive engagement

P Kumar, YK Dwivedi, A Anand - Information Systems Frontiers, 2023 - Springer
The Healthcare sector has been at the forefront of the adoption of artificial intelligence (AI)
technologies. Owing to the nature of the services and the vulnerability of a large section of …

A hybrid CNN-LSTM model for pre-miRNA classification

A Tasdelen, B Sen - Scientific reports, 2021 - nature.com
Abstract miRNAs (or microRNAs) are small, endogenous, and noncoding RNAs construct of
about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs …

[PDF][PDF] Improving the classification accuracy using recursive feature elimination with cross-validation

P Misra, AS Yadav - Int. J. Emerg. Technol, 2020 - puneetmisra.com
In Machine Learning (ML) community, researchers are proposing complex models for real-
life problems to achieve higher accuracy, which requires high computing and other …

AI and big data in healthcare: towards a more comprehensive research framework for multimorbidity

LT Majnarić, F Babič, S O'Sullivan… - Journal of Clinical …, 2021 - mdpi.com
Multimorbidity refers to the coexistence of two or more chronic diseases in one person.
Therefore, patients with multimorbidity have multiple and special care needs. However, in …

Artificial intelligence in plastic surgery: current applications, future directions, and ethical implications

T Jarvis, D Thornburg, AM Rebecca… - … Surgery–Global Open, 2020 - journals.lww.com
Background: Artificial intelligence (AI) in healthcare delivery has become an important area
of research due to the rapid progression of technology, which has allowed the growth of …

Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits

M Cingolani, R Scendoni, P Fedeli… - Frontiers in Public …, 2023 - frontiersin.org
Home healthcare in the Italian health system has proven to be an essential factor in
adequately responding to the health needs of an increasingly aging population. The …