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Kidney cancer diagnosis and surgery selection by machine learning from CT scans combined with clinical metadata
Simple Summary Diagnosis is the most important step in treating and managing kidney
cancer, requiring accurate identification, localization, and classification of tumor regions. The …
cancer, requiring accurate identification, localization, and classification of tumor regions. The …
[HTML][HTML] Role of artificial intelligence for analysis of covid-19 vaccination-related tweets: Opportunities, challenges, and future trends
Pandemics and infectious diseases are overcome by vaccination, which serves as a
preventative measure. Nevertheless, vaccines also raise public concerns; public …
preventative measure. Nevertheless, vaccines also raise public concerns; public …
Applying machine learning to healthcare operations management: CNN-based model for malaria diagnosis
The purpose of this study is to explore how machine learning technologies can improve
healthcare operations management. A machine learning-based model to solve a specific …
healthcare operations management. A machine learning-based model to solve a specific …
COVID-19 vaccine hesitancy and acceptance among the public in the Gulf Cooperation Council countries: A review of the literature
Vaccine hesitancy has a significant impact on tackling infectious diseases as it has resulted
in reemergence of vaccine-preventable diseases. This review aims to provide an up-to-date …
in reemergence of vaccine-preventable diseases. This review aims to provide an up-to-date …
Identifying drivers of COVID-19 vaccine sentiments for effective vaccination policy
The COVID-19 pandemic has had far-reaching consequences globally, including a
significant loss of lives, escalating unemployment rates, economic instability, deteriorating …
significant loss of lives, escalating unemployment rates, economic instability, deteriorating …
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning
Background and motivations Antenatal or prenatal hydronephrosis (AHN) is a common
kidney complication in unborn children. While AHN is generally benign and resolves over …
kidney complication in unborn children. While AHN is generally benign and resolves over …
Vaccine hesitancy in the post-vaccination COVID-19 era: a machine learning and statistical analysis driven study
Background The COVID-19 pandemic has badly affected people of all ages globally.
Therefore, its vaccine has been developed and made available for public use in …
Therefore, its vaccine has been developed and made available for public use in …
Effectiveness of Emergency Food Assistance Programs during. COVID-19 at Union Parishad: Mediating Role of Political Neutrality
M Ahmad, J Ferdous - Evaluation and Program Planning, 2025 - Elsevier
Abstract Union Parishads (UPs) launched Emergency Food Assistance Programmes
(EFAPs) in Bangladesh to address food insecurity during the COVID-19 pandemic. Despite …
(EFAPs) in Bangladesh to address food insecurity during the COVID-19 pandemic. Despite …
Determinants of COVID-19 vaccine hesitancy in university students and support staff in Pakistan: A machine learning and statistical analysis
Background Despite the availability of a vaccine to combat COVID-19 disease, vaccine
hesitancy is still a major concern, notably in countries with develo** healthcare systems …
hesitancy is still a major concern, notably in countries with develo** healthcare systems …
[PDF][PDF] Explainable Machine Learning Approaches to Assess the COVID-19 Vaccination Uptake: Social, Political, and Economic Aspects
COVID-19 vaccine hesitancy is considered responsible for the lower rate of acceptance of
vaccines in many parts of the world. However, sources of this hesitancy are rooted in many …
vaccines in many parts of the world. However, sources of this hesitancy are rooted in many …