A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges
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 …
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 …
development of deep neural networks, natural language processing, computer vision and …
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges
Abstract Progress in Information and Communication Technologies (ICTs) is shaping more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
Expert systems: Definitions, advantages and issues in medical field applications
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 …
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
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 …
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 …
about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs …
[PDF][PDF] Improving the classification accuracy using recursive feature elimination with cross-validation
In Machine Learning (ML) community, researchers are proposing complex models for real-
life problems to achieve higher accuracy, which requires high computing and other …
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 …
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 …
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 …
adequately responding to the health needs of an increasingly aging population. The …