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Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
ConclusionAmong several approaches, an ensemble model combining both GBT and Cox models achieved the best performance for identifying individuals at high risk of stroke in a contemporary study of Chinese adults. The results highlight the potential value of expanding the use of ML in clinical practice.
Source: Journal of the American Medical Informatics Association - May 9, 2021 Category: Information Technology Source Type: research

Using machine learning models to improve stroke risk level classification methods of China national stroke screening
With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China nationa...
Source: BMC Medical Informatics and Decision Making - December 10, 2019 Category: Information Technology Authors: Xuemeng Li, Di Bian, Jinghui Yu, Mei Li and Dongsheng Zhao Tags: Research article Source Type: research

Cochrane vs. COVID-19
Cochrane  provides high-quality, relevant and up-to-date synthesized research evidence to inform health decisions. This page highlights the many ways that Cochrane has successfully responded to COVID-19 around the world.Click on any of the case studies below to find out more, and check back often as we continuously add and update new stories.Making COVID-19 evidence easier to find - Cochrane Stroke heard from stroke care professionals and researchers that it was difficult to find relevant material amongst the thousands of articles available.Learn how Cochrane Stroke addressed this challenge. Making sure COVID-19 evidence...
Source: Cochrane News and Events - November 19, 2020 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Machine learning in a real-world PFO study: analysis of data from multi-centers in China
The association of patent foreman ovale (PFO) and cryptogenic stroke has been studied for years. Although device closure overall decreases the risk for recurrent stroke, treatment effects varied across differe...
Source: BMC Medical Informatics and Decision Making - November 24, 2022 Category: Information Technology Authors: Dongling Luo, Ziyang Yang, Gangcheng Zhang, Qunshan Shen, Hongwei Zhang, Junxing Lai, Hui Hu, Jianxin He, Shulin Wu and Caojin Zhang Tags: Research Source Type: research

The 3rd Beijing Forum of Evidence-Based Medicine and 2023 Cochrane China Network Symposium successfully held
Cochrane China recently hosted a virtual event for the evidence-based medicine community that brought together many of its partners, local expertise, and international speakers. Here the team provides an overview of who was involved and what was covered at the event.  The3rd Beijing forum of evidence-based medicine and Cochrane China Network  Symposium was successfully held virtually on January 15th, 2023. The host of this conference wereCochrane China Network and Beijing GRADE Center. The organizers are Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, affiliate of the Cochrane China Ne...
Source: Cochrane News and Events - February 17, 2023 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine
ConclusionsThis study successfully developed a well-performing classification prediction model for dyslipidemia with MOPS, transforming the syndrome diagnosis problem in TCM into a prediction and classification problem in artificial intelligence. Patients with dyslipidemia of MOPS can be accurately recognized through limited information from patients. We also screened out significant diagnostic factors for composing diagnostic rules of dyslipidemia with MOPS. The study is an avant-garde attempt at introducing the deep-learning method into the research of TCM, which provides a useful reference for the extension of deep lear...
Source: Health Information Science and Systems - April 6, 2023 Category: Information Technology Source Type: research