Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology
Author:
Affiliation:
1. Department of Computer Science and IT, School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Kochi campus, India
Funder
received no financial support
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2020.1854988
Reference38 articles.
1. Genetic Algorithm-Based Feature Selection and Optimization of Backpropagation Neural Network Parameters for Classification of Breast Cancer Using MicroRNA Profiles
2. Development and validation of a microRNA-based signature (MiROvaR) to predict early relapse or progression of epithelial ovarian cancer: a cohort study
3. Identification of core aberrantly expressed microRNAs in serous ovarian carcinoma
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