Contact tracing strategies for COVID-19 prevention and containment: A Scoping review
Coronavirus Disease 2019 (COVID-19) spreads rapidly and is easily contracted by
individuals who come near infected persons. With this nature and rapid spread of the …
individuals who come near infected persons. With this nature and rapid spread of the …
Fuzzy neural network expert system with an improved Gini index random forest-based feature importance measure algorithm for early diagnosis of breast cancer in …
EA Algehyne, ML Jibril, NA Algehainy… - Big Data and Cognitive …, 2022 - mdpi.com
Breast cancer is one of the common malignancies among females in Saudi Arabia and has
also been ranked as the one most prevalent and the number two killer disease in the …
also been ranked as the one most prevalent and the number two killer disease in the …
Handling privacy-sensitive medical data with federated learning: challenges and future directions
Recent medical applications are largely dominated by the application of Machine Learning
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …
Learning features using an optimized artificial neural network for breast cancer diagnosis
Breast cancer (BC) has been one of the significant causes of death worldwide, and its early
detection can play a vital role in increasing the survival rate of this disease. This paper …
detection can play a vital role in increasing the survival rate of this disease. This paper …
Cnn-lstm deep learning based forecasting model for covid-19 infection cases in Nigeria, South Africa and Botswana
Background COVID-19 pandemic has indeed plunged the global community especially
African countries into an alarming difficult situation culminating into a great deal amounts of …
African countries into an alarming difficult situation culminating into a great deal amounts of …
Deep learning models for classification of brain tumor with magnetic resonance imaging images dataset
LJ Muhammad, I Badi, AA Haruna… - … Intelligence in Oncology …, 2022 - Springer
Brain tumor is known among the most aggressive diseases among adults and children
around the world. It is estimated that every year, more than 11,700 people around the world …
around the world. It is estimated that every year, more than 11,700 people around the world …
Deep learning models for classification and localization of COVID-19 abnormalities on chest radiographs
LJ Muhammad, JM Amshi, SS Usman… - … on Computing & …, 2021 - ieeexplore.ieee.org
COVID-19 pandemic is five times more deadly than flu and other disease. It causes serious
morbidity and mortality across the world. Like other pneumonias, pulmonary infection with …
morbidity and mortality across the world. Like other pneumonias, pulmonary infection with …
CNN-LSTM learning approach for classification of foliar disease of apple
AA Haruna, IA Badi, LJ Muhammad… - … Innovations in Smart …, 2023 - ieeexplore.ieee.org
Deep learning techniques haven been the efficient artificial intelligence techniques that is
being used for developing models for autonomous feature extraction, classification and …
being used for developing models for autonomous feature extraction, classification and …
Enhancing Epidemiological Surveillance Systems Using Dynamic Modeling: A Scoping Review
In recent times, many researchers have explored the prediction of infectious disease
outbreaks using mathematical modeling, artificial intelligence, agent-based simulation …
outbreaks using mathematical modeling, artificial intelligence, agent-based simulation …
[HTML][HTML] AI applications for diagnosis of breast cancer
LJ Muhammad, A Bria - Frontiers in Artificial Intelligence, 2023 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) has recently gained significant attention and broader recognition
due to its vital role in various sectors, most notably the health sector (Alsayed et al., 2021; …
due to its vital role in various sectors, most notably the health sector (Alsayed et al., 2021; …