[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom

T Shaik, X Tao, L Li, H Xie, JD Velásquez - Information Fusion, 2024 - Elsevier
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

AiIoMT: IoMT-based system-enabled artificial intelligence for enhanced smart healthcare systems

JB Awotunde, SO Folorunso, SA Ajagbe, J Garg… - Machine learning for …, 2022 - Springer
The healthcare system has been on the frontline in recent years, researchers have tried to
find solutions to different illnesses and sickness by applying various modern methods. But …

Application of artificial intelligence and big data for fighting COVID-19 pandemic

JB Awotunde, S Oluwabukonla, C Chakraborty… - Decision Sciences for …, 2022 - Springer
Abstract The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-
communal systems, humanity and creates economic crises worldwide. Many strategies have …

A deep learning model for identification of diabetes type 2 based on nucleotide signals

B Das - Neural Computing and Applications, 2022 - Springer
Abstract In Genome-Wide Association Studies (GWAS), detection of T2D-related variants in
genome sequences and accurate modeling of the complex structure of the relevant gene are …

Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review

S Khan, F Mohsen, Z Shah - Artificial Intelligence Review, 2024 - Springer
Diabetes mellitus is a long-term metabolic condition marked by high blood sugar levels due
to issues with insulin production, insulin effectiveness, or a combination of both. It stands as …

Explainable artificial intelligence in genomic sequence for healthcare systems prediction

JB Awotunde, EA Adeniyi, GJ Ajamu… - Connected e-Health …, 2022 - Springer
Various Classification techniques have been developed in past years and applied on
genomic sequence for the dynamic modelling. These methods have resulted to impressive …

Swarm intelligence and evolutionary algorithms in processing healthcare data

JB Awotunde, AE Adeniyi, SA Ajagbe… - Connected e-Health …, 2022 - Springer
Healthcare system in research in recent years has been in the frontline of research, and
researchers has been tried to create several artificial intelligence (AI) models to solving the …

A Multimodal Contrastive Federated Learning for Digital Healthcare

DN Sachin, B Annappa, S Ambasange, AE Tony - SN Computer Science, 2023 - Springer
Digital healthcare applications have gained enormous global interest due to the rapid
development of the internet of medical things (IoMT), which helps access massive amounts …

Prediction and forecasting of coronavirus cases using artificial intelligence algorithm

SA Ajagbe, JB Awotunde, MA Oladipupo… - Machine Learning for …, 2022 - Springer
Artificial intelligence (AI) and Internet of Things (IoT) are evolving technologies that are
being adopted by different facets of human endeavor. Among other reasons, it is being used …

A Novel Hybrid Approach for Detection of Type-2 Diabetes in Women Using Lasso Regression and Artificial Neural Network

Y Singh, M Tiwari - International Journal of Intelligent Systems …, 2022 - search.proquest.com
Diabetes is a life-threatening and long-lasting illness that produces high blood glucose
levels. Diabetes may cause various diseases, including liver disease, blindness …