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http://dx.doi.org/10.1016/j.jaclp.2020.12.012 | DOI Listing |
Sci Rep
November 2024
Department of Emergency Medicine, Jinling Clinical Medical College of Nanjing Medical University, Nanjing, 210016, Jiangsu, China.
Objective: The objective was to establish a machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS.
Methods: 80% of sepsis patients selected randomly from the MIMIC-IV database, without prior pulmonary conditions and with nonpulmonary infection sites, were used to construct prediction models through machine learning techniques (including K-nearest neighbour, extreme gradient boosting, support vector machine, deep neural network, and decision tree methods). The remaining 20% of patients were utilized to validate the model's accuracy.
Cureus
September 2024
Pharmacology, Sir Seewoosagur Ramgoolam Medical College, Belle Rive, MUS.
Dysfunction or damage to the nervous system may develop into and result in a chronic pain condition known as neuropathic pain. Neuropathic pain is defined as the structural and functional alteration of the somatosensory component of the nervous system. The treatment of neuropathic pain is a complex endeavor, which often requires specialist care and intensive drug therapy.
View Article and Find Full Text PDFConserv Physiol
October 2024
Fisheries and Aquatic Production, Animal Sciences Unit Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Jacobsenstraat 1, 8400 Ostend, Belgium.
Health Serv Res
September 2024
College of Public Health and Health Professions, University of Florida, Tampa, Florida, USA.
Objective: To develop a method of consistently identifying interfacility transfers (IFTs) in Medicare Claims using patients with ST-Elevation Myocardial Infarction (STEMI) as an example.
Data Sources/study Setting: 100% Medicare inpatient and outpatient Standard Analytic Files and 5% Carrier Files, 2011-2020.
Study Design: Observational, cross-sectional comparison of patient characteristics between proposed and existing methods.
Mol Ecol Resour
October 2024
Department of Climate Change, Energy, The Environment and Water, Parramatta, New South Wales, Australia.
Understanding the demography of wildlife populations is a key component for ecological research, and where necessary, supporting the conservation and management of long-lived animals. However, many animals lack phenological changes with which to determine individual age; therefore, gathering this fundamental information presents difficulties. More so for species that are rare, highly mobile, migratory and those that reside in inaccessible habitats.
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