Examining different cost ratio frameworks for decision rule machine learning algorithms in diagnostic application

CONCLUSION: The significance of adopting a cost-sensitive learning approach is emphasized showing the PART classifier's consistent performance within the proposed framework for learning the anemia dataset. This emphasis on cost-sensitive learning not only enhances the recommendations in diagnosis but also holds the potential for substantial cost savings and makes it a noteworthy focal point in the advancement of AI-driven health care.PMID:38393866 | DOI:10.3233/THC-231946

Source: Technology and Health Care - February 23, 2024 Category: Medical Devices Authors: Sivachandar Kasiviswanathan Thulasi Bai Vijayan Source Type: research