A machine learning model for predicting cognitive improvement after scalp cluster needling therapy in patients with post-stroke mild cognitive impairment.
Frontiers in neurology · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
HumansFemalePredictive Learning ModelsStrokeCognitive DysfunctionRetrospective StudiesAgedAcupuncture TherapyMaleMachine LearningMiddle AgedScalpStroke RehabilitationClassification AlgorithmsPrediction Algorithmsmachine learningpost-stroke mild cognitive impairmentprediction modelscalp cluster needling therapy with prolonged needle retentionstroke rehabilitation
Come citare questo studio
Yican Hao, Xia Wei, Pingli Zhao, Hewei Qin. (2026). A machine learning model for predicting cognitive improvement after scalp cluster needling therapy in patients with post-stroke mild cognitive impairment.. Frontiers in neurology. DOI: 10.3389/fneur.2026.1884682
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