Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320802009> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W4320802009 abstract "In terms of mortality rates, strokes are considered to be the second most common reason for death. Every year, 15 million individuals worldwide have a stroke, and of those,5 million perish and another 5 million become permanently crippled. The prevention and detection of stroke have become increasingly important in order to avoid its devastating effects. Using the Kaggle stroke dataset, health records are analyzed. A list of attributes is obtained from the health records: aging, BMI, gender, glucose level, smoking, blood sugar, etc … The information gathered is used as inputfor Navies Bayesian and Random Forest classification to predict stroke. Naive Bayes classifiers categorize data using the principles of probability theory. Bayes' theorem is the foundation of the naive Bayes algorithm. A random forest algorithm builds decision trees from data samples and utilizes each tree's forecast to decide which is the best course of action. Using these algorithms, the best method to predict cerebrovascular strokes is determined by the accuracy and precision of the prediction." @default.
- W4320802009 created "2023-02-15" @default.
- W4320802009 creator A5030413221 @default.
- W4320802009 creator A5084539427 @default.
- W4320802009 creator A5090758202 @default.
- W4320802009 date "2022-11-09" @default.
- W4320802009 modified "2023-09-27" @default.
- W4320802009 title "Cerebrovascular Stroke Detection Using Machine Learning Algorithms" @default.
- W4320802009 cites W2890458110 @default.
- W4320802009 cites W2892286616 @default.
- W4320802009 doi "https://doi.org/10.1109/iccst55948.2022.10040416" @default.
- W4320802009 hasPublicationYear "2022" @default.
- W4320802009 type Work @default.
- W4320802009 citedByCount "0" @default.
- W4320802009 crossrefType "proceedings-article" @default.
- W4320802009 hasAuthorship W4320802009A5030413221 @default.
- W4320802009 hasAuthorship W4320802009A5084539427 @default.
- W4320802009 hasAuthorship W4320802009A5090758202 @default.
- W4320802009 hasConcept C107673813 @default.
- W4320802009 hasConcept C11413529 @default.
- W4320802009 hasConcept C119857082 @default.
- W4320802009 hasConcept C12267149 @default.
- W4320802009 hasConcept C127413603 @default.
- W4320802009 hasConcept C154945302 @default.
- W4320802009 hasConcept C169258074 @default.
- W4320802009 hasConcept C207201462 @default.
- W4320802009 hasConcept C2780645631 @default.
- W4320802009 hasConcept C33724603 @default.
- W4320802009 hasConcept C41008148 @default.
- W4320802009 hasConcept C52001869 @default.
- W4320802009 hasConcept C78519656 @default.
- W4320802009 hasConcept C84525736 @default.
- W4320802009 hasConcept C94124525 @default.
- W4320802009 hasConceptScore W4320802009C107673813 @default.
- W4320802009 hasConceptScore W4320802009C11413529 @default.
- W4320802009 hasConceptScore W4320802009C119857082 @default.
- W4320802009 hasConceptScore W4320802009C12267149 @default.
- W4320802009 hasConceptScore W4320802009C127413603 @default.
- W4320802009 hasConceptScore W4320802009C154945302 @default.
- W4320802009 hasConceptScore W4320802009C169258074 @default.
- W4320802009 hasConceptScore W4320802009C207201462 @default.
- W4320802009 hasConceptScore W4320802009C2780645631 @default.
- W4320802009 hasConceptScore W4320802009C33724603 @default.
- W4320802009 hasConceptScore W4320802009C41008148 @default.
- W4320802009 hasConceptScore W4320802009C52001869 @default.
- W4320802009 hasConceptScore W4320802009C78519656 @default.
- W4320802009 hasConceptScore W4320802009C84525736 @default.
- W4320802009 hasConceptScore W4320802009C94124525 @default.
- W4320802009 hasLocation W43208020091 @default.
- W4320802009 hasOpenAccess W4320802009 @default.
- W4320802009 hasPrimaryLocation W43208020091 @default.
- W4320802009 hasRelatedWork W2583008148 @default.
- W4320802009 hasRelatedWork W3204641204 @default.
- W4320802009 hasRelatedWork W3210877509 @default.
- W4320802009 hasRelatedWork W4205958290 @default.
- W4320802009 hasRelatedWork W4249746146 @default.
- W4320802009 hasRelatedWork W4283016678 @default.
- W4320802009 hasRelatedWork W4285225238 @default.
- W4320802009 hasRelatedWork W4292865745 @default.
- W4320802009 hasRelatedWork W4312632137 @default.
- W4320802009 hasRelatedWork W4323294312 @default.
- W4320802009 isParatext "false" @default.
- W4320802009 isRetracted "false" @default.
- W4320802009 workType "article" @default.