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A New Auto-Regressive Multi-Variable Modified Auto-Encoder for Multivariate Time-Series Prediction: A Case Study with Application to COVID-19 Pandemics.
Int J Environ Res Public Health
April 2024
Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Av. Salgado Filho, 3000, Campus Universitário, Lagoa Nova, Natal 59078-970, RN, Brazil.
The SARS-CoV-2 global pandemic prompted governments, institutions, and researchers to investigate its impact, developing strategies based on general indicators to make the most precise predictions possible. Approaches based on epidemiological models were used but the outcomes demonstrated forecasting with uncertainty due to insufficient or missing data. Besides the lack of data, machine-learning models including random forest, support vector regression, LSTM, Auto-encoders, and traditional time-series models such as Prophet and ARIMA were employed in the task, achieving remarkable results with limited effectiveness.
View Article and Find Full Text PDFComparison of clinical characteristics of a pediatric cohort with combined pituitary hormone deficiency caused by mutation of the PROP1 gene or of other origins.
Hormones (Athens)
March 2024
Department of Pediatric and Adolescent Endocrinology, University Children's Hospital in Cracow, Cracow, Poland.
Article Synopsis
- - The study focused on patients with combined pituitary hormone deficiency (CPHD) caused by PROP1 gene mutations, comparing their clinical features to those with CPHD from other causes.
- - Among 74 patients analyzed, those with PROP1 mutations showed higher birth weight, lower growth velocity prior to hormone treatment, and distinct hormonal levels compared to non-PROP1 cases.
- - The findings suggest that specific clinical characteristics can help identify children who may need testing for PROP1 gene mutations, indicating a unique presentation of CPHD associated with these mutations.
Antimicrobial Resistance Pattern, Pathogenicity and Molecular Properties of Hypervirulent (hvKp) among Hospital-Acquired Infections in the Intensive Care Unit (ICU).
Microorganisms
March 2023
Medical Microbiology and Immunology Department, Faculty of Medicine, Beni-Suef University, Beni-Suef 62513, Egypt.
Hypervirulent (hvKp) is a new emerging variant of that is increasingly reported worldwide. The variant hvKp is known to cause severe invasive community-acquired infections such as metastatic meningitis, pyogenic liver abscesses (PLA) and endophthalmitis, but its role in hospital-acquired infections (HAIs) is little known. The aim of this study was to evaluate the prevalence of hvKp among hospital-acquired (HA) infections in the intensive care unit (ICU) and to compare between hvKp and classical (cKP) regarding antimicrobial resistance pattern, virulence and molecular characteristics.
View Article and Find Full Text PDFPrelacteal feeding practices in Pakistan: a mixed-methods study.
Int Breastfeed J
June 2020
Department of Nutritional Sciences & Population Research Center, University of Texas at Austin, Austin, Texas, USA.
Background: Prelacteal feeding, the feeding a newborn substances or liquids before breastfeeding, is a common cultural practice in Pakistan, but is associated with neonatal morbidity and mortality because it delays early initiation of breastfeeding. In this study, we sought to examine the social and cultural factors associated with prelacteal feeding in Pakistan.
Methods: This mixed-method study used data from the Pakistan Demographic and Health Survey (PDHS) 2012-13.
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