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Information Journal Paper

Title

APPLYING A NON-LINEAR MATHEMATICAL MODEL TO PREDICT BREAST BIOPSY OUTCOMES

Pages

  15-22

Abstract

 Introduction: This article describes an effort for diagnosing BREAST CANCER from mammography findings by using a non linear mathematical model in the form of LOGISTIC REGRESSION Analysis. Materials & Methods: The data were extracted from 122 adult women's mammography films by an expert radiologist equipped with 12 diagnosis criteria, then the model was fed by these data. Because all of the patients after mammography were undergone breast biopsy, their pathology reports were collected and coded (benign cases by 0 and malignant cases by 1). The data were entered to the model and after being ensured by model's train ability, the data were clustered into two groups, train group (82 sets) and test group (40 sets), and were entered to the model again. The software calculated probability of being benign or malignant for the test group cases, the probability was represented in the range 0 to 1. The output of model was then compared to pathology codes and the results were reported as model's prediction on the test group cases. Result & Discussion: As a result model ability to predict sensitivity, specificity and accuracy was, in order, 83%, 77%,80% and radiologist ability to predict these definitions was in order, 92%, 69%, 86%.      

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    APA: Copy

    ROUHANDEH, M., ABD ALMALEKI, P., & GUITI, M.. (2003). APPLYING A NON-LINEAR MATHEMATICAL MODEL TO PREDICT BREAST BIOPSY OUTCOMES. IRANIAN JOURNAL OF MEDICAL PHYSICS, 1(3), 15-22. SID. https://sid.ir/paper/97031/en

    Vancouver: Copy

    ROUHANDEH M., ABD ALMALEKI P., GUITI M.. APPLYING A NON-LINEAR MATHEMATICAL MODEL TO PREDICT BREAST BIOPSY OUTCOMES. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2003;1(3):15-22. Available from: https://sid.ir/paper/97031/en

    IEEE: Copy

    M. ROUHANDEH, P. ABD ALMALEKI, and M. GUITI, “APPLYING A NON-LINEAR MATHEMATICAL MODEL TO PREDICT BREAST BIOPSY OUTCOMES,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 1, no. 3, pp. 15–22, 2003, [Online]. Available: https://sid.ir/paper/97031/en

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