ACESO: Analysis of Cervical Cancer: An Evidence-Based Treatments Optimization

Deciding for Cervical Cancer (CxCa) treatment is not a simple task. There are several competing factors that arise from the perspective of survival, treatment, toxicity, quality of patient's life, as well as the geographic location of the patient, which indicates access to specific healthcare r...

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Bibliographic Details
Main Authors: Katrakazas, Panagiotis, Tarousi, Marilena, Giokas, Kostas, Koutsouris, Dimitrios-Dionysios
Format: Conference Proceeding
Language:English
Subjects:
Biopsy
Cervical cancer
Cervical cancer
big-data analytics
existing treatments
intervention
cost-effectiveness
DNA
Europe
Lesions
Medical diagnostic imaging
Online Access:Request full text
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Summary:Deciding for Cervical Cancer (CxCa) treatment is not a simple task. There are several competing factors that arise from the perspective of survival, treatment, toxicity, quality of patient's life, as well as the geographic location of the patient, which indicates access to specific healthcare resources. All of these factors play a significant role in the ultimate decision to pursue surgery, chemotherapy, and radiation therapy. Our aim is to develop an integrated platform incorporating a big data analytics (BDA) platform, enabling the collection and analysis of heterogeneous data related to the effectiveness of existing interventions and to the discovery of more effective techniques.
ISSN:2372-9198
DOI:10.1109/CBMS.2017.166