Background: Intensive Care Unit (ICU) patients are exposed to various medications, especially during infusion, and the amount of infusion drugs and the rate of their application may negatively affect their health status. A deep learning model can monitor a patient's continuous reaction to tranquillizer therapy, analyze the treatment plans of experts to avoid severe situations such as reverse medication associations, work with a convenient mediator, and change the treatment plans of specialists as needed.
Methods: Generally, patients' treatment histories are linked together via a period grouping connection, which is usually burdened by missing information. Displaying time-succession via Repetitive Neural Organization (RNO) is the best available solution. However, it's possible that a patient's treatment may be prolonged, which RNN may not be able to demonstrate in this manner.
Results: We propose the use of the LSTM-RNN driven by heterogeneous medicine events to predict the patient's outcome, as well as the Regular Language Handling and Gaussian Cycle, which can handle boisterous, deficient, inadequate, heterogeneous, and unevenly tested prescription records of patients while addressing the missing value issue using a piece-based Gaussian cycle.
Conclusions: We emphasize the semantic relevance of every medication event and the grouping of drug events on patients in our study. We will focus specifically on LSTM-RNN and Phased LSTM-RNN for showing treatment results and information attribution using bit-based Gaussian cycles. We worked on Staged LSTM-RNN.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253858 | PMC |
http://dx.doi.org/10.7189/jogh.12.04044 | DOI Listing |
Viruses
November 2024
C.U.R.E. (University Center for Liver Disease Research and Treatment), Liver Unit, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy.
SARS-CoV-2 infection induces a humoral immune response, producing virus-specific antibodies such as IgM, IgG, and IgA. IgA antibodies are present at mucosal sites, protecting against respiratory and other mucosal infections, including SARS-CoV-2, by neutralizing viruses or impeding attachment to epithelial cells. Since SARS-CoV-2 spreads through the nasopharynx, the specific IgAs of SARS-CoV-2 are produced quickly after infection, effectively contributing to virus neutralization.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
Division of Pediatric Infectious Diseases, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA.
Objectives: SARS-CoV-2 infection is a known risk factor for adverse health outcomes in pregnancy, affecting both maternal and neonatal health. Mounting evidence suggests that even a single dose of an approved COVID-19 vaccine protects against severe SARS-CoV-2 infection and is safe for both pregnant persons and neonates. Southern Brazil was heavily affected by the COVID-19 pandemic, and the protective effects of the vaccine on maternal and neonatal health are not well described.
View Article and Find Full Text PDFMicroorganisms
December 2024
Department of Internal Medicine II, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria.
Coronavirus Disease 2019 causes significant morbidity, and different variants of concern (VOCs) can impact organ systems differently. We conducted a single-center retrospective cohort analysis comparing biomarkers and clinical outcomes in hospitalized patients infected with the wild-type or Alpha (wt/Alpha) VOC against patients infected with the Omicron VOC. We included 428 patients infected with the wt/Alpha VOC and 117 patients infected with the Omicron VOC.
View Article and Find Full Text PDFMicroorganisms
December 2024
Department of Chest Medicine, Show Chwan Memorial Hospital, Changhua 500, Taiwan.
, a major opportunistic pathogen, causes severe infections in both community and healthcare settings, especially in intensive care units (ICUs), where multidrug-resistant (MDR) strains, such as carbapenem-resistant (CRKP), pose significant treatment challenges. The rise in hypervirulent (hvKP) with enhanced virulence factors complicates management further. The ST11 clone, prevalent in China, exhibits both resistance and virulence traits, contributing to hospital outbreaks.
View Article and Find Full Text PDFMicroorganisms
December 2024
Direção-Geral de Saúde, 1000-123 Lisboa, Portugal.
Healthcare-associated infections (HAIs) represent a major challenge in patient safety that affects services disproportionally. This paper aimed to assess how the HAI prevalence varies between hospital services and what contextual characteristics may explain such variance. A cross-sectional study was conducted on adult patients in Portuguese hospitals, using data from the European point prevalence survey of HAI prevalence.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!