title: Design and Implementation of a Comprehensive Web-based Survey for Ovarian Cancer Survivorship with an Analysis of Prediagnosis Symptoms via Text Mining.
abstract: Ovarian cancer (OvCa) is the most lethal gynecologic disease in the United States, with an overall 5-year survival rate of 44.5%, about half of the 89.2% for all breast cancer patients. To identify factors that possibly contribute to the long-term survivorship of women with OvCa, we conducted a comprehensive online Ovarian Cancer Survivorship Survey from 2009 to 2013. This paper presents the design and implementation of our survey, introduces its resulting data source, the OVA-CRADLE™ (Clinical Research Analytics and Data Lifecycle Environment), and illustrates a sample application of the survey and data by an analysis of prediagnosis symptoms, using text mining and statistics. The OVA-CRADLE™ is an application of our patented Physio-MIMI technology, facilitating Web-based access, online query and exploration of data. The prediagnostic symptoms and association of early-stage OvCa diagnosis with endometriosis provide potentially important indicators for future studies in this field.
authors: Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, USA.
authors: Jiayang
authors: J
authors: Sun
authors: Departments of Orthopaedics and Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. ; Louis Stokes Cleveland Department of Veterans Affairs Medical Center (LSCDVAMC), Cleveland, Ohio, USA.
authors: Kath M
authors: KM
authors: Bogie
authors: KeyBank of Cleveland, 127 Public Square, Cleveland, Ohio, USA.
authors: Joe
authors: J
authors: Teagno
authors: Darfon Electronics Corp., Taoyuan County, Taiwan.
authors: Yu-Hsiang Sam
authors: YH
authors: Sun
authors: Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, USA.
authors: Rebecca R
authors: RR
authors: Carter
authors: Department of Electrical Engineering and Computer Science, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio, USA.
authors: Licong
authors: L
authors: Cui
authors: Department of Electrical Engineering and Computer Science, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio, USA.
authors: Guo-Qiang
authors: GQ
authors: Zhang
keywords: (CART) Classification and Regression Tree; CRADLE™ (Clinical Research Analytics and Data Lifecycle Environment); Random Forest; correspondence analysis; database; design; early diagnosis; endometriosis; informatics; ovarian cancer; prediagnosis symptoms; survey; text mining