Image of KLASIFIKASI PENYAKIT STROKE MENGGUNAKAN METODE NAIVE BAYES DAN FUZZY NAIVE BAYES BERDASARKAN RESAMPLING REPEATED SPLIT VALIDATION

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KLASIFIKASI PENYAKIT STROKE MENGGUNAKAN METODE NAIVE BAYES DAN FUZZY NAIVE BAYES BERDASARKAN RESAMPLING REPEATED SPLIT VALIDATION

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A stroke is a nerve funcion that results from a blockage caused by blood clots and causes the oxygen and nutrients in the brain to suffer tissue damage. This study uses the Naïve Bayes and Fuzzy Naïve Bayes method based on Repeated Split Validation Resampling and variable selection use Chi square to classify stroke disease. The data used on this research is a Stroke Prediction Dataset from Kaggle’s website. Classification of stroke disease using Naïve Bayes obtained an average Accuracy of 92,27%, Precision of 96,09%, Recall of 95.79%, and FScore of 95,94%, where here as using the naïve bayes method with chi square obtained an average Accuracy of 92,66%, Precision of 96,50%, Recall of 95.81%, and FScore of 96,16%. Classificatiion of stroke disease using Fuzzy Naïve Bayes obtained an average Accuracy of 93,15%, Precision of 97,43%, Recall of 95.46%, and FScore of 96,44%, where as using Fuzzy Naïve Bayes method with chi square obtained an average Accuracy of 93,54%, Precision of 97,74%, Recall of 95,57%, and FScore of 96,64%. Based on factors that contribute to the prediction of stroke and calculations using the Naïve Bayes and Fuzzy Naïve Bayes methods, the results are 95% not a stroke and 5% of a stroke.

Availability
Inventory Code Barcode Call Number Location Status
2407000018T131704T1317042024Central Library (References)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1317042024
Publisher
Indralaya : Prodi Ilmu Farmasi, Fakultas Matematika dan Ilmu Pengetahuan Alam.,
Collation
xv, 75 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
615.107
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Ilmu Farmasi
Penyakit Stroke
Specific Detail Info
-
Statement of Responsibility
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No other version available

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