مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

371
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

155
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

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

Pages

  37-42

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.

Cites

  • No record.
  • References

    Cite

    APA: Copy

    AHADI, BATOUL, ALAVI MAJD, HAMID, KHODAKARIM, SOHEILA, RAHIMI, FOROUGH, KARIMAN, NOUROSSADAT, KHALILI, MAHIEH, & SAFAVI, NASTARAN. (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. SID. https://sid.ir/paper/315857/en

    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)[Internet]. 2016;7(3):37-42. Available from: https://sid.ir/paper/315857/en

    IEEE: Copy

    BATOUL AHADI, HAMID ALAVI MAJD, SOHEILA KHODAKARIM, FOROUGH RAHIMI, NOUROSSADAT KARIMAN, MAHIEH KHALILI, and NASTARAN SAFAVI, “USING SUPPORT VECTOR MACHINES IN PREDICTING AND CLASSIFYING FACTORS AFFECTING PRETERM DELIVERY,” ARCHIVES OF ADVANCES IN BIOSCIENCES (JOURNAL OF PARAMEDICAL SCIENCES), vol. 7, no. 3, pp. 37–42, 2016, [Online]. Available: https://sid.ir/paper/315857/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button