Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging

In recent years, Artificial Intelligence has been used to assist healthcare professionals in detecting and diagnosing neurodegenerative diseases. In this study, we propose a methodology to analyze functional Magnetic Resonance Imaging signals and perform classification between Parkinson’s disease pa...

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主要な著者:	Gabriel Solana-Lavalle, Michael D. Cusimano, Thomas Steeves, Roberto Rosas-Romero, Pascal N. Tyrrell
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-06-01
シリーズ:	Tomography
主題:	computer-assisted Causal Forest functional Magnetic Resonance Imaging Machine Learning Multiple Correspondence Analysis Parkinson’s disease detection
オンライン･アクセス:	https://www.mdpi.com/2379-139X/10/6/68
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