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In this study, the risk prediction model of stroke disease was established based on the data set of pre-cohort follow-up samples provided by the National ...
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Abstract—In this study, the risk prediction model of stroke disease was established based on the data set of pre-cohort follow-up samples provided by the ...
In this study, the risk prediction model of stroke disease was established based on the data set of pre-cohort follow-up samples provided by the National ...
Apr 10, 2023 · Objective. This study focuses on the identification of risk factors, classification of stroke level, and evaluation of the importance and ...
May 20, 2024 · Authors in their study propose a machine learning model with K-Nearest Neighbours, Decision Tree, and Logistic Regression. Exploratory ...
Jun 21, 2022 · In this research work, a methodology for designing effective binary classification ML models for stroke occurrence is presented. Since class ...
Mar 21, 2023 · This study's findings align with, [17] 's investigation of the effectiveness of Naive Bay and decision tree approaches for stroke prognosis.
Among all “8+2” risk factors of getting stroke, the decision tree model reveals that top three factors are Hypertension (0.4995),3 Physical ...
Oct 31, 2022 · Predicting an individual's risk of primary stroke is an important tool that can help to lower the burden of stroke for both the individual ...
Stroke can be predicted by analyzing different warning signs. In this experiment, we implement a process of stroke risk prediction from our dataset using the ...
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