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A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks.
BioData Min
January 2025
Department of Statistics, College of Science, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Background: This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children's nutritional status and predict transitions between different undernutrition states over time. This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016.
View Article and Find Full Text PDFImpact of discontinuation of cephazolin prophylaxis on the incidence of postoperative adverse events in cataract surgery.
J Pharm Health Care Sci
January 2025
Department of Pharmacy, Kumamoto University Hospital, 1-1-1, Honjo, Chuo-ku, Kumamoto city, Kumamoto, 860-8556, Japan.
Background: Cataract surgeries are increasing annually, making appropriate medical management essential. The routine use of systemic antimicrobial agents for preventing surgical site infections lacks strong evidence and may increase the risk of drug-resistant bacteria and adverse events. This study examined the impact of discontinuing cefazolin (CEZ) administration during the perioperative period of cataract surgery on the incidence of postoperative adverse events and medical costs.
View Article and Find Full Text PDFMulti-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis.
J Transl Med
January 2025
Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Background: Psoriasis is a common chronic, recurrent, immune-mediated disease involved in the skin or joints or both. However, deeper insight into the genetic susceptibility of psoriasis is still unclear.
Methods: Here we performed the largest multi-ancestry meta-analysis of genome-wide association study including 28,869 psoriasis cases and 443,950 healthy controls.
Quantifying the potential value of entomological data collection for programmatic decision-making on malaria control in sub-Saharan African settings.
Malar J
January 2025
MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Background: The availability of many tools for malaria control leads to complex decisions regarding the most cost-effective intervention package based on local epidemiology. Mosquito characteristics influence the impact of vector control, but entomological surveillance is often limited due to a lack of resources in national malaria programmes.
Methods: This study quantified the monetary value of information provided by entomological data collection for programmatic decision-making using a mathematical model of Plasmodium falciparum transmission.
Association between the atherogenic index of plasma and long-term risk of type 2 diabetes: a 12-year cohort study based on the Japanese population.
Cardiovasc Diabetol
January 2025
Department of Cardiology, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
Background: Atherosclerotic dyslipidemia is associated with an increased risk of type 2 diabetes (T2D). Although previous studies have demonstrated an association between the atherogenic index of plasma (AIP) and insulin resistance, there remains a scarcity of large cohort studies investigating the association between AIP and the long-term risk of T2D in the general population. This study aims to investigate the potential association between AIP and the long-term risk of T2D in individuals with normal fasting plasma glucose levels.
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