Understanding the Minimal Clinically Viable Solutions for Disease Diagnosis and Prognosis via the Integration of AI-Powered Intelligent Systems

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 113 - 140

Published: June 30, 2024

This chapter explores the transformative impact of artificial intelligence (AI) on healthcare, with a focus illness diagnosis and prognosis, led by Luca Parisi's pioneering research. Parisi advocates for developing clinically viable solutions diseases, integrating machine learning (ML) evolutionary algorithms to improve clinical decision support systems (CDSS). Emphasis is placed interpretability trustworthiness. The research underscores AI's potential revolutionize decision-making, enhancing patient care outcomes. It contributes advancing green AI-powered intelligent disease filling literature gaps promoting minimal enrich efficacy.

Language: Английский

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Ontological modeling with recursive recurrent neural network and crayfish optimization for reliable breast cancer prediction

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 99, P. 106810 - 106810

Published: Sept. 12, 2024

Language: Английский

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Efficient hybrid optimization based feature selection and classification on high dimensional dataset

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(20), P. 58689 - 58727

Published: Dec. 23, 2023

Language: Английский

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Using Support Vector Machines for Enhancing Cancer Prediction in Recommender Systems

Advances in Science, Technology & Innovation/Advances in science, technology & innovation, Journal Year: 2024, Volume and Issue: unknown, P. 133 - 140

Published: Jan. 1, 2024

Language: Английский

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PERS: Personalized environment recommendation system based on vital signs

Egyptian Informatics Journal, Journal Year: 2024, Volume and Issue: 28, P. 100580 - 100580

Published: Nov. 29, 2024

Language: Английский

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