Study of Contributing Factors for Cure Response in Patients with Acute Myeloblastic Leukemia （AML）
Study of Contributing Factors for Cure Response in Patients with Acute Myeloblastic Leukemia （AML）作者机构：Department of Biology Science and Research Branch Islamic Azad University Tehran *** lran Clinical Proteomics Research Center Faculty of Paramedical Sciences Shahid Beheshti University (M. C.) Tehran ***Iran Department of Biological Sciences Tarbiat Moallem niversity Tehran *** Iran Department of Biostatistics Faculty of Paramedical Sciences Shahid Beheshti University of Medical Sciences Tehran*** Iran Department of Hematology Faculty of Paramedical Sciences Shahid Beheshti University of Medical Sciences Tehran***. lran
出 版 物：《Journal of Life Sciences》 (生命科学（英文版）)
年 卷 期：2012年第6卷第5期
页 面：570-576页
学科分类：090603[农学-临床兽医学] 08[工学] 09[农学] 0906[农学-兽医学] 0901[农学-作物学] 0836[工学-生物工程] 090102[农学-作物遗传育种]
主 题：Acute myeloblastic leukemia risk factors support vector machine.
摘 要：Leukemia comprises a diverse group of malignancies which is accompanied with genetic disorderliness in hematopoietic cells. We evaluated effective risk factors in recovery process of under treatment patients suffering from acute myeloblastic leukemia （AML）. This study conducted a cross-sectional descriptive-analytical study on a population of 76 samples obtained non-randomly from patients in Taleghani Hospital （Tehran, Iran）. 30.3% patients resulted in death. According to logistic regression results, sexes [OR = 6.40, 95% CI = （0.27, 3.45）], ALT [OR = 1.03, 95% CI = （0.01, 0.05）] and HCT [OR = 0.55, 95% CI = （-1.12, -0.06）] were recognized as significant in prognoses. We predicted the probability of death with an error of 20.03% based on a prognoses system using support vector machine （SVM） classifier. Using this theory, we experienced an error of 20.03%. 46.6% patients with a positive and 20.8% patients without positive drug history resulted in death, which shows a significant correlation between patients＇ drug history and their death.
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