The classification performance of binomial logistic regression based on classical and Bayesian statistics for screening P-Thalassemia
Statistics plays an important role in many areas especially in classification tasks. Logistic Regression Model is one popular technique to solve problems, in particular, medical problems. P-Thalassemia, a common genetic disorder, lends itself to is interesting for using MLR to classify types of P-Th...
محفوظ في:
المؤلفون الرئيسيون: | Paokanta P., Harnpornchai N., Chakpitak N. |
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التنسيق: | وقائع المؤتمر |
منشور في: |
2017
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84855862602&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42945 |
الوسوم: |
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المؤسسة: | Chiang Mai University |
مواد مشابهة
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The classification performance of binomial logistic regression based on classical and Bayesian statistics for screening P-Thalassemia
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منشور في: (2018) -
Risk analysis of Thalassemia using knowledge representation model: Diagnostic Bayesian Networks
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Risk analysis of Thalassemia using knowledge representation model: Diagnostic Bayesian Networks
بواسطة: Patcharaporn Paokanta, وآخرون
منشور في: (2018) -
Rule induction for screening Thalassemia using machine learning techniques: C5.0 and CART
بواسطة: Paokanta P., وآخرون
منشور في: (2014) -
A new algorithm of ensemble learning for medical knowledge-based systems and knowledge-based systems: Hybrid Bayesian computing (multinomial logistic regression case-based C5.0-mixed classification and regression tree)
بواسطة: Patcharaporn Paokanta, وآخرون
منشور في: (2018)