Predicting factors for survival of breast cancer patients using machine learning techniques.

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第一作者： Mogana Darshini,Ganggayah

第一单位： Data Science and Bioinformatics Laboratory, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.

作者： Mogana Darshini,Ganggayah ^[1] ; Nur Aishah,Taib ^[2] ; Yip Cheng,Har ^[2] ; Pietro,Lio ^[3] ; Sarinder Kaur,Dhillon ^[4]

作者单位： Data Science and Bioinformatics Laboratory, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia. ^[1] Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia. ^[2] Department of Computer Science and Technology, University of Cambridge, 15 JJ Thomson Avenue, Cambridge, CB3 0FD, England. ^[3] Data Science and Bioinformatics Laboratory, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia. sarinder@um.edu.my. ^[4]

关键词 Data science Decision tree Factors influencing survival of breast cancer Machine learning Random forest

主题词成年人(Adult);乳腺肿瘤(Breast Neoplasms);决策树(Decision Trees);女(雌)性(Female);人类(Humans);中年人(Middle Aged);预后(Prognosis)

DOI 10.1186/s12911-019-0801-4

PMID 30902088

发布时间 2020-02-25

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准确一般字义偏差语意偏离译文作用小提交