Wearable technology to assist the patients infected with novel coronavirus (COVID-19)

MM Islam, S Mahmud, LJ Muhammad, MR Islam… - SN computer …, 2020 - Springer
Wearable technology plays a significant role in our daily life as well as in the healthcare
industry. The recent coronavirus pandemic has taken the world's healthcare systems by …

Chitosan as a tool for tissue engineering and rehabilitation: recent developments and future perspectives–A review

A Haider, S Khan, DN Iqbal, SU Khan, S Haider… - International journal of …, 2024 - Elsevier
Chitosan has established itself as a multifunctional and auspicious biomaterial within the
domain of tissue engineering, presenting a decade of uninterrupted advancements and …

Artificial intelligence based medical decision support system for early and accurate breast cancer prediction

LK Singh, M Khanna, R Singh - Advances in engineering software, 2023 - Elsevier
Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …

Homogeneous adaboost ensemble machine learning algorithms with reduced entropy on balanced data

MT Ramakrishna, VK Venkatesan, I Izonin, M Havryliuk… - Entropy, 2023 - mdpi.com
Today's world faces a serious public health problem with cancer. One type of cancer that
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …

An optimized framework for breast cancer classification using machine learning

E Michael, H Ma, H Li, S Qi - BioMed Research International, 2022 - Wiley Online Library
Breast cancer, if diagnosed and treated early, has a better chance of surviving. Many studies
have shown that a larger number of ultrasound images are generated every day, and the …

An augmented artificial intelligence approach for chronic diseases prediction

J Rashid, S Batool, J Kim, M Wasif Nisar… - Frontiers in Public …, 2022 - frontiersin.org
Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …

Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm

AMQ Farhan, S Yang - Multimedia Tools and applications, 2023 - pmc.ncbi.nlm.nih.gov
The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …

Deep learning applications to combat novel coronavirus (COVID-19) pandemic

A Asraf, MZ Islam, MR Haque, MM Islam - SN Computer Science, 2020 - Springer
During this global pandemic, researchers around the world are trying to find out innovative
technology for a smart healthcare system to combat coronavirus. The evidence of deep …

New and emerging forms of data and technologies: Literature and bibliometric review

P Radanliev, D De Roure - Multimedia Tools and Applications, 2023 - Springer
With the increased digitalisation of our society, new and emerging forms of data present new
values and opportunities for improved data driven multimedia services, or even new …

Advancements and prospects of machine learning in medical diagnostics: unveiling the future of diagnostic precision

S Asif, Y Wenhui, S ur-Rehman, Q ul-ain… - … Methods in Engineering, 2024 - Springer
Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …