A clinical decision support system for polycystic ovarian syndrome using red deer algorithm and random forest classifier

A clinical decision support system for polycystic ovarian syndrome using red deer algorithm and random forest classifier

This study develops a clinical decision support system to assist physicians with monitoring Polycystic Ovarian Syndrome (PCOS). The proposed method uses a classification model with optimization techniques and machine learning algorithms. The existence of irrelevant features can deteriorate the perfo...

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Bibliographic Details
Main Authors: S. Sreejith, H. Khanna Nehemiah, A. Kannan
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Healthcare Analytics
Subjects:
Clinical data analytics
Decision support systems
Feature selection
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442522000442

Internet

http://www.sciencedirect.com/science/article/pii/S2772442522000442

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