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Intelligent Analgesia Management System in Postoperative Pain Management: A Retrospective Analysis.
J Perianesth Nurs
January 2025
Department of Nursing, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Purpose: This study aimed to explore the effect of an intelligent analgesia management system on postoperative pain management and the working mode of acute pain service.
Design: This is a retrospective cohort study.
Methods: A total of 584 patients who underwent laparoscopic abdominal surgery under general anesthesia and voluntarily received intravenous patient-controlled analgesia (PCA) between January 2018 and April 2020 at our hospital were selected.
Demographic-Based Personalized Left Ventricular Hypertrophy Thresholds for Hypertrophic Cardiomyopathy Diagnosis.
J Am Coll Cardiol
December 2024
Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, United Kingdom; Institute of Cardiovascular Science, University College London, London, United Kingdom.
Background: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death. Current diagnosis emphasizes the detection of left ventricular hypertrophy (LVH) using a fixed threshold of ≥15-mm maximum wall thickness (MWT). This study proposes a method that considers individual demographics to adjust LVH thresholds as an alternative to a 1-size-fits-all approach.
View Article and Find Full Text PDFA More Accurate Diagnosis of Hypertrophic Cardiomyopathy: Simplifying the Complex Through Use of AI Technologies.
J Am Coll Cardiol
December 2024
Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Soybean2035: A decadal vision for soybean functional genomics and breeding.
Mol Plant
January 2025
Center for Applied Genetic Technologies, University of Georgia, Athens, USA.
Soybean, the fourth most important crop in the world, uniquely serves as a source of both plant oil and plant protein for the world's food and animal feed. Although soybean production has increased approximately 13-fold over the past 60 years, the continually growing global population necessitates further increases in soybean production. In the past, especially in the last decade, significant progress has been made in both functional genomics and molecular breeding.
View Article and Find Full Text PDFIntegrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
Viruses
November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
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