The frame of the method in this paper is composed of four parts: data preprocessing, feature selection, classifier modeling and prediction.

<p>The frame of the method in this paper is composed of four parts: data preprocessing, feature selection, classifier modeling and prediction.</p>

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Detalhes bibliográficos
Autor principal:	Jinyu Wen (10785855) (author)
Outros Autores:	Amei Chen (10308410) (author), Jingxin Liu (428965) (author), Hua Xiong (209342) (author), Meie Fang (22656289) (author), Xinhua Wei (673857) (author)
Publicado em:	2025
Assuntos:	Medicine Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified parkinson &# 8217 methods :</ b dopamine transporter ), conclusion :</ b background :</ b new fusion strategy 48 %, 30 classified using adaboost involve data preparation results :</ b predictions based solely low predictive performance dti metric along pd using imaging clinical fusion prediction predictive performance predictions solely modal fusion brain imaging 78 %, omics data modal data dti data clinical data results indicate represents improvements perivascular space pd achieved paper proposes key steps individual modalities dimensional multi diagnosed mainly combined prediction clinical signs advantages compared 91 %.
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