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Paper Information

Journal:   ARCHIVES OF ADVANCES IN BIOSCIENCES (JOURNAL OF PARAMEDICAL SCIENCES)   SUMMER 2016 , Volume 7 , Number 3; Page(s) 37 To 42.
 
Paper: 

USING SUPPORT VECTOR MACHINES IN PREDICTING AND CLASSIFYING FACTORS AFFECTING PRETERM DELIVERY

 
 
Author(s):  AHADI BATOUL, ALAVI MAJD HAMID*, KHODAKARIM SOHEILA, RAHIMI FOROUGH, KARIMAN NOUROSSADAT, KHALILI MAHIEH, SAFAVI NASTARAN
 
* DEPARTMENT OF BIOSTATISTICS, PARA-MEDICAL FACULTY, SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES, TEHRAN, IRAN
 
Abstract: 

Various statistical methods have been proposed in terms of predicting the outcomes of facing special factors. In the classical approaches, making the probability distribution or known probability density functions is ordinarily necessary to predict the desired outcome. However, most of the times enough information about the probability distribution of studied variables is not available to the researcher in practice. In such circumstances, we need that the predictors function well without knowing the probability distribution or probability density. It means that with the minimum assumptions, we obtain predictors with high precision. Support vector machine (SVM) is a good statistical method of prediction. The aim of this study is to compare two statistical methods, SVM and logistic regression. To that end, the data on premature infants born at Tehran Milad Hospital is collected and used.

 
Keyword(s): SUPPORT VECTOR MACHINES, LOGISTIC REGRESSION, PREMATURE BIRTH
 
 
References: 
 
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APA: Copy

AHADI, B., & ALAVI MAJD, H., & KHODAKARIM, S., & RAHIMI, F., & KARIMAN, N., & KHALILI, M., & SAFAVI, N. (2016). USING SUPPORT VECTOR MACHINES IN PREDICTING AND CLASSIFYING FACTORS AFFECTING PRETERM DELIVERY. ARCHIVES OF ADVANCES IN BIOSCIENCES (JOURNAL OF PARAMEDICAL SCIENCES), 7(3), 37-42. https://www.sid.ir/en/journal/ViewPaper.aspx?id=511030



Vancouver: Copy

AHADI BATOUL, ALAVI MAJD HAMID, KHODAKARIM SOHEILA, RAHIMI FOROUGH, KARIMAN NOUROSSADAT, KHALILI MAHIEH, SAFAVI NASTARAN. USING SUPPORT VECTOR MACHINES IN PREDICTING AND CLASSIFYING FACTORS AFFECTING PRETERM DELIVERY. ARCHIVES OF ADVANCES IN BIOSCIENCES (JOURNAL OF PARAMEDICAL SCIENCES). 2016 [cited 2021August01];7(3):37-42. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=511030



IEEE: Copy

AHADI, B., ALAVI MAJD, H., KHODAKARIM, S., RAHIMI, F., KARIMAN, N., KHALILI, M., SAFAVI, N., 2016. USING SUPPORT VECTOR MACHINES IN PREDICTING AND CLASSIFYING FACTORS AFFECTING PRETERM DELIVERY. ARCHIVES OF ADVANCES IN BIOSCIENCES (JOURNAL OF PARAMEDICAL SCIENCES), [online] 7(3), pp.37-42. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=511030.



 
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