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Pengfei Yang

Naval Medical University - Changhai Hospital

SCHOLARLY PAPERS

3

DOWNLOADS

160

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Associations of Combined Healthy Lifestyles with the Risk of Cardiovascular Disease: A Prospective Cohort Study of UK Biobank

Number of pages: 22 Posted: 10 May 2023
The George Institute for Global Health, Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), University of Sydney - George Institute for Global Health, University of Sydney - George Institute for Global Health, Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Naval Medical University - Neurovascular Center, Shanghai Jiao Tong University (SJTU) - Department of Neurology, Naval Medical University - Neurovascular Center, Naval Medical University - Changhai Hospital, Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Naval Medical University - Neurovascular Center, Fudan University - Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI) and Naval Medical University - Neurovascular Center
Downloads 90 (742,061)

Abstract:

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Combined effects, lifestyles, cardiovascular diseases, cohort study, UK

2.

Association of Workflow Times and Clinical Outcome in Acute Ischemic Stroke With and Without Intravenous Alteplase: DIRECT-MT Results

Number of pages: 17 Posted: 01 Feb 2021
Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Institute of Medicinal Biotechnology, Government of the People's Republic of China - Changhai Hospital, Government of the People's Republic of China - Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurology, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Data Statistics Center, University of Connecticut - Department of Statistics, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurology, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Radiology & Nuclear Medicine, Amsterdam University Medical Center, Department of Radiology, University of Calgary, University of Calgary, Calgary, Canada; Department of Neurology, Department of Radiology & Nuclear Medicine, Amsterdam University Medical Center, Government of the People's Republic of China - Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital, Naval Medical University - Changhai Hospital, Department of Neurosurgery, Naval Medical University Changhai Hospital and Independent
Downloads 53 (1,031,043)

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3.

An Interpretable Machine Learning Model for Predicting Functional Outcome after Endovascular Thrombectomy for Acute Ischemic Stroke

Number of pages: 37 Posted: 28 May 2026
Fudan University, Fudan University - Department of Cardiovascular Surgery, University of New South Wales (UNSW) - The George Institute for Global Health, Kawasaki Medical School, Naval Medical University - Neurovascular Center, Naval Medical University - Changhai Hospital, Naval Medical University - Neurovascular Center, Fudan University and University of Sydney - George Institute for Global Health
Downloads 17 (1,500,778)

Abstract:

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Acute ischemic stroke, Machine learning, Prognosis, Prediction model, Endovascular thrombectomy