METHODS: We use Non-linear Iterative Partial Least Squares to perform the data dimensionality reduction, Self-Organizing Map technique for clustering task and ensembles of Neuro-Fuzzy Inference System for predicting the hepatitis disease. We also use decision trees for the selection of most important features in the experimental dataset. We test our method on a real-world dataset and present our results in comparison with the latest results of previous studies.
RESULTS: The results of our analyses on the dataset demonstrated that our method performance is superior to the Neural Network, ANFIS, K-Nearest Neighbors and Support Vector Machine.
CONCLUSIONS: The method has potential to be used as an intelligent learning system for hepatitis disease diagnosis in the healthcare.
RESULTS: cSC binds > 0.06 μg/ml of purified human and mouse pIgA with negligible cross-reactivity against IgM and IgA. Virus-specific pIgA was significantly higher in serum of acute HAV (n = 6) and HEV (n = 12) patients than uninfected samples (HEV: p
Methods: Records of travellers aged 60 years and older attending the Tropical Medical Bureau clinic in Galway, Ireland between 2014 and 2018 were examined. Descriptive and inferential.analysis of data was performed.
Results: A total of 337 older travellers sought pre-travel health advice during the study period. The mean age of the cohort was 65.42 (±10) years. Most of the travellers (n = 267, 80%) had at least one travelling companion. Nearly half of older travellers (n = 155, 46.8%) were travelling with a single companion. Tourism was the main reason for travel for the majority (n = 260, 77.6%), followed by visiting friends and relatives (VFR) (n = 23, 6.9%) travellers. The mean interval remaining before the planned trip was 4.36 (±2) weeks, and the mean duration of travel was 3.16 (±1) weeks. The most popular single country of destination was India with 33 (9.8%) visitors, and South East Asia was the most popular region with 132 (39.2%) older travellers. The majority of travellers (n = 267, 79.2%) had a documented pre-existing medical condition. The most commonly reported medical conditions were hypertension (n = 26, 7.7%), dyslipidaemia (n = 18, 5.3%), diabetes mellitus (n = 12, 3.5%), insect bite sensitivity (n = 11, 3.3%), and hypothyroidism (n = 9, 2.6%). Antihypertensive agents (n = 32, 9.4%) and statins (n = 24, 7.1%) were the most frequently used medications. Typhoid (n = 112, 33.2%) and hepatitis A (n = 84, 24.9%) were the most common vaccinations administered to older travellers at the clinic.
Conclusions: This study provides an insight into the demographics, travel characteristics, and medical profile of elderly travellers seeking advice at a large travel clinic in Ireland. A wide range of travel destinations, diseases and medication use was reported among this group of travellers, which may enable travel medicine physicians to provide more tailored advice and to more appropriately counsel older travellers.
METHODOLOGY: This is a prospective study where patients (n=119) blood was tested for anti-HAVIgG and CYP3A4*18 polymorphism.
RESULTS: The overall anti-HAV seroprevalence was 88.2%. The etiology of CLD was hepatitis B in 96 patients (80.7%) and hepatitis C in 23 patients (19.3%). There was a significant increase in the age of the prevalence of this disease after 30 years of age (p=0.008). CYP3A4*18 polymorphism was detected in 3 (2.5%) of the patients with chronic liver disease. However, there was no significant association between CP3A4*18 mutation and anti-HAV serology.
CONCLUSIONS: Age was the most important factor in determining anti-HAV positivity. It is concluded that CYP3A4*18 genetic polymorphism does not play a main role in influencing the seroprevalence of anti-hepatitis A among chronic viral hepatitis B and C liver disease patients.