A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome
Varada Vivek Khanna(Yale University), Govardhan Hegde(Manipal Academy of Higher Education), Srikanth Prabhu(Manipal Academy of Higher Education), Niranjana Sampathila(Manipal Academy of Higher Education), Venkatesh Bhandage(Manipal Academy of Higher Education), Krishnaraj Chadaga(Manipal Academy of Higher Education)
Cited by 108
Related Papers
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
|Decision Analytics Journal|2023|56
Diagnosing COVID-19 using artificial intelligence: a comprehensive review
|Network Modeling Analysis in Health Informatics and Bioinformatics|2022|48
A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence
|Heliyon|2023|47
Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers
|Cogent Engineering|2024|33
An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients
|Scientific Reports|2024|16