Integration of data mining classification techniques and ensemble learning to identify risk factors and diagnose ovarian cancer recurrence

• Main Authors: Tseng C., Lu C., Chang C., Chen G., Cheewakriangkrai C.
• Format: Journal
• Published: 2017
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020746721&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/40507
• Institution: Chiang Mai University

© 2017 Elsevier B.V. Ovarian cancer is the second leading cause of deaths among gynecologic cancers in the world. Approximately 90% of women with ovarian cancer reported having symptoms long before a diagnosis was made. Literature shows that recurrence should be predicted with regard to their person...