[PDF][PDF] Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuro machine Learning Model
A Vaniprabha, J Logeshwaran… - … Journal of Neurology …, 2022 - researchgate.net
Currently, studies have shown that one in three people infected with coronavirus disease-19
(COVID-19) is likely to have had long-term exposure to COVID-19, known as long-term …
(COVID-19) is likely to have had long-term exposure to COVID-19, known as long-term …
Healthcare trust evolution with explainable artificial intelligence: bibliometric analysis
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had
a profound impact on a number of industries, including medical. The use of AI for therapeutic …
a profound impact on a number of industries, including medical. The use of AI for therapeutic …
[HTML][HTML] Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19
Since the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to
develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to …
develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to …
Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Objective The persistent spread of SARS-CoV-2 makes diagnosis challenging because
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
Explainable AI to predict male fertility using extreme gradient boosting algorithm with SMOTE
D GhoshRoy, PA Alvi, KC Santosh - Electronics, 2022 - mdpi.com
Infertility is a common problem across the world. Infertility distribution due to male factors
ranges from 40% to 50%. Existing artificial intelligence (AI) systems are not often human …
ranges from 40% to 50%. Existing artificial intelligence (AI) systems are not often human …
Risk factors and drug discovery for cognitive impairment in type 2 diabetes mellitus using artificial intelligence interpretation and graph neural networks
X Zhang, J Xie, X You, H Gong - Frontiers in Endocrinology, 2023 - frontiersin.org
Background Among the 382 million diabetic patients worldwide, approximately 30%
experience neuropathy, and one-fifth of these patients eventually develop diabetes cognitive …
experience neuropathy, and one-fifth of these patients eventually develop diabetes cognitive …
An interpretable deep learning based approach for chronic obstructive pulmonary disease using explainable artificial intelligence
Artificial intelligence has become like-humans in thinking and interpretations. But its uses
are still limited and are viewed as black boxes, and this is the most important factor …
are still limited and are viewed as black boxes, and this is the most important factor …
An explainable AI approach for diagnosis of COVID-19 using MALDI-ToF mass spectrometry
VDR Seethi, Z LaCasse, P Chivte, J Bland… - Expert Systems with …, 2024 - Elsevier
Current artificial intelligence (AI) applications for the diagnosis of coronavirus disease 2019
(COVID-19) often lack a biological foundation in the decision-making process. In this study …
(COVID-19) often lack a biological foundation in the decision-making process. In this study …
Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data
Background Dyslipidemia, characterized by variations in plasma lipid profiles, poses a
global health threat linked to millions of deaths annually. Objectives This study focuses on …
global health threat linked to millions of deaths annually. Objectives This study focuses on …
A tree-based explainable AI model for early detection of Covid-19 using physiological data
With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and
challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data …
challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data …