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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

A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
ConclusionThis review's objective is to increase scholars' interest in this difficult field and familiarize them with current advancements in it. To create CAD systems aimed at brain tumor identification using MR images, digital image processing approaches, such as preprocessing, segmentation, and classification, are applied. The classic machine learning and deep learning approaches for brain tumor identification are deliberated in this work. This paper provides a summary of commonly used MR image datasets. For classification, various machine learning and deep learning algorithms have been used. This survey examines curren...
Source: Health and Technology - February 27, 2023 Category: Information Technology Source Type: research

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

Hypotension Prediction Index guided Goal Directed therapy and the amount of Hypotension during Major Gynaecologic Oncologic Surgery: a Randomized Controlled clinical Trial
AbstractIntraoperative hypotension (IOH) is associated with increased morbidity and mortality. Hypotension Prediction Index (HPI) is a machine learning derived algorithm that predicts IOH shortly before it occurs. We tested the hypothesis that the application of the HPI in combination with a pre-defined Goal Directed Therapy (GDT) hemodynamic protocol reduces IOH during major gynaecologic oncologic surgery. We enrolled women scheduled for major gynaecologic oncologic surgery under general anesthesia with invasive arterial pressure monitoring. Patients were randomized to a GDT protocol aimed at optimizing stroke volume inde...
Source: Journal of Clinical Monitoring and Computing - April 29, 2023 Category: Information Technology Source Type: research

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