Prostate cancer is the most common cancer diagnosed among American men, and causes more deaths annually among men than any other tumor except lung cancer.However, only a small proportion of prostate cancers diagnosed are ultimately lethal.Received Date: October 13, 2016; Accepted Date: November 02, 2016; Published Date: November 10, 2016 Citation: Yuri P, Rochadi S, Danarto R (2016) A Device for Predicting Prostate Cancer Risk: A Logistic Regression. Visit for more related articles at Journal of Prostate Cancer Background: Early detection of prostate cancer is a possible means of decreasing the mortality and increasing the quality of life. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Given the successful application of data mining by health related organizations that has helped to predict health insurance fraud and under-diagnosed patients, and identify and classify at-risk people in terms of health with the goal of reducing healthcare cost, we introduce how data mining technologies (in each area of classification, clustering, and association) have been used for a multitude of purposes, including research in the biomedical and healthcare fields.Results: We analyzed 92 patients with PSA (0.523 [length (cm) × width (cm) × height (cm)]) by TAUS/TRUS.DRE was classified as normal or abnormal (any prostatic nodule or induration).There are many approaches to risk assessment including the D'Amico classification, a variety of nomograms and the UCSF-CAPRA Score.Risk classification (D'Amico): The classification developed by D’Amico and colleagues is one of the most widely used and is a good starting point for risk assessment.These guideline products are no longer viewed as guidance for current medical practice, and are provided for archival purposes only. Agency for Healthcare Research and Quality, Rockville, MD.Internet Citation: Clinical Guidelines and Recommendations. Using the predictive equation, we design a normogram for predicting prostate cancer risk called prostate cancer risk calculator.All analyses were performed with SPSS, version 18.0.This system uses PSA level (blood test), Gleason grade (microscopic appearance of the cancer cells), and T stage (size of the tumor on rectal exam and/or ultrasound) to group men as low, intermediate, or high-risk.PSA more than 20, Gleason score equal or larger than 8, or clinical stage T2c-3a Limitations: Does not account for multiple risk factors For example, Patient one: Gleason 3 4, PSA 3.2, stage T1c cancer in one biopsy core Patient two: Gleason 4 3, PSA 19.2, stage T2b cancer involving eight cores • Both patients are classified as intermediate risk, althought patient two would have much higher disease risk.Methods: We included 92 patients retrospectively in Sardjito Hospital.Patients received prostate biopsy due to having abnormal serum prostate specific antigen (PSA) level (4 ng/ml) and DRE.Evidence-based research provides the basis for sound clinical practice guidelines and recommendations.