Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380148829> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4380148829 endingPage "266" @default.
- W4380148829 startingPage "253" @default.
- W4380148829 abstract "There is currently little evidence linking COVID-19 to Alzheimer’s Disease (AD). The goal of this paper is to examine the correlation among COVID-19 symptoms to identify risks for AD patients and to determine the conditions that put AD patients in danger. We have developed a Machine Learning (ML) based model called AD-Cov-CorrelationNet that shows the relationship between various health issues and whether every attribute in the dataset is connected. We have discovered a direct link between several health issues in AD patients. The risk of getting an infection when they are directly contacted by the outside environment is very high. Although there is no direct contact with the outside environment, AD patients are still vulnerable to some health issues which cause serious problems and increase the risks of death. Supervised learning models such as Logistic Regression, K-Nearest Neighbor (KNN), Decision Tree, Random Forest, Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP) are utilized to understand the disease prognosis. The risk factors that the models predicted are clinically meaningful and relevant to reducing fatality. This comparative analysis achieves more than 98% accuracy, 97% precision, 97% recall, 97% F1 score, and accurate Receiver Operating Characteristic (ROC) curves." @default.
- W4380148829 created "2023-06-11" @default.
- W4380148829 creator A5076616187 @default.
- W4380148829 creator A5092131785 @default.
- W4380148829 date "2023-01-01" @default.
- W4380148829 modified "2023-09-25" @default.
- W4380148829 title "Assessing the Risks of COVID-19 on the Health Conditions of Alzheimer’s Patients Using Machine Learning Techniques" @default.
- W4380148829 cites W2792919287 @default.
- W4380148829 cites W3090453844 @default.
- W4380148829 cites W3091468319 @default.
- W4380148829 cites W3127585785 @default.
- W4380148829 cites W3168799594 @default.
- W4380148829 cites W3188846905 @default.
- W4380148829 cites W3209594828 @default.
- W4380148829 cites W4211238543 @default.
- W4380148829 cites W4220956165 @default.
- W4380148829 cites W4281249840 @default.
- W4380148829 doi "https://doi.org/10.1007/978-3-031-34619-4_21" @default.
- W4380148829 hasPublicationYear "2023" @default.
- W4380148829 type Work @default.
- W4380148829 citedByCount "0" @default.
- W4380148829 crossrefType "book-chapter" @default.
- W4380148829 hasAuthorship W4380148829A5076616187 @default.
- W4380148829 hasAuthorship W4380148829A5092131785 @default.
- W4380148829 hasConcept C100660578 @default.
- W4380148829 hasConcept C119857082 @default.
- W4380148829 hasConcept C12267149 @default.
- W4380148829 hasConcept C126322002 @default.
- W4380148829 hasConcept C151956035 @default.
- W4380148829 hasConcept C154945302 @default.
- W4380148829 hasConcept C15744967 @default.
- W4380148829 hasConcept C169258074 @default.
- W4380148829 hasConcept C179717631 @default.
- W4380148829 hasConcept C180747234 @default.
- W4380148829 hasConcept C2779134260 @default.
- W4380148829 hasConcept C3008058167 @default.
- W4380148829 hasConcept C41008148 @default.
- W4380148829 hasConcept C50644808 @default.
- W4380148829 hasConcept C524204448 @default.
- W4380148829 hasConcept C58471807 @default.
- W4380148829 hasConcept C60908668 @default.
- W4380148829 hasConcept C71924100 @default.
- W4380148829 hasConcept C84525736 @default.
- W4380148829 hasConceptScore W4380148829C100660578 @default.
- W4380148829 hasConceptScore W4380148829C119857082 @default.
- W4380148829 hasConceptScore W4380148829C12267149 @default.
- W4380148829 hasConceptScore W4380148829C126322002 @default.
- W4380148829 hasConceptScore W4380148829C151956035 @default.
- W4380148829 hasConceptScore W4380148829C154945302 @default.
- W4380148829 hasConceptScore W4380148829C15744967 @default.
- W4380148829 hasConceptScore W4380148829C169258074 @default.
- W4380148829 hasConceptScore W4380148829C179717631 @default.
- W4380148829 hasConceptScore W4380148829C180747234 @default.
- W4380148829 hasConceptScore W4380148829C2779134260 @default.
- W4380148829 hasConceptScore W4380148829C3008058167 @default.
- W4380148829 hasConceptScore W4380148829C41008148 @default.
- W4380148829 hasConceptScore W4380148829C50644808 @default.
- W4380148829 hasConceptScore W4380148829C524204448 @default.
- W4380148829 hasConceptScore W4380148829C58471807 @default.
- W4380148829 hasConceptScore W4380148829C60908668 @default.
- W4380148829 hasConceptScore W4380148829C71924100 @default.
- W4380148829 hasConceptScore W4380148829C84525736 @default.
- W4380148829 hasLocation W43801488291 @default.
- W4380148829 hasOpenAccess W4380148829 @default.
- W4380148829 hasPrimaryLocation W43801488291 @default.
- W4380148829 hasRelatedWork W2979979539 @default.
- W4380148829 hasRelatedWork W3211546796 @default.
- W4380148829 hasRelatedWork W4200196661 @default.
- W4380148829 hasRelatedWork W4249229055 @default.
- W4380148829 hasRelatedWork W4283784365 @default.
- W4380148829 hasRelatedWork W4312707991 @default.
- W4380148829 hasRelatedWork W4316082230 @default.
- W4380148829 hasRelatedWork W4321636153 @default.
- W4380148829 hasRelatedWork W4361795583 @default.
- W4380148829 hasRelatedWork W4376609225 @default.
- W4380148829 isParatext "false" @default.
- W4380148829 isRetracted "false" @default.
- W4380148829 workType "book-chapter" @default.