Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson's disease behavioral analysis.

Extracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process. To address this challenge, hybrid data processing methods, combining complementary rough sets, have emerged as a promising approach for handling uncertainty. However, selecting an appropriate model and effectively utilizing it in data mining requires a thorough qualitative and quantitative comparison of existing hybrid data processing models.

A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation.

Objective: This study aims to develop a lightweight convolutional neural network-based edge federated learning architecture for COVID-19 detection using X-ray images, aiming to minimize computational cost, latency, and bandwidth requirements while preserving patient privacy.

Method: The proposed method uses an edge federated learning architecture to optimize task allocation and execution. Unlike in traditional edge networks where requests from fixed nodes are handled by nearby edge devices or remote clouds, the proposed model uses an intelligent broker within the federation to assess member edge cloudlets' parameters, such as resources and hop count, to make optimal decisions for task offloading.

Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review.

Mental disorders are rapidly increasing each year and have become a major challenge affecting the social and financial well-being of individuals. There is a need for phenotypic characterization of psychiatric disorders with biomarkers to provide a rich signature for Major Depressive Disorder, improving the understanding of the pathophysiological mechanisms underlying these mental disorders. This comprehensive review focuses on depression and relapse detection modalities such as self-questionnaires, audiovisuals, and EEG, highlighting noteworthy publications in the last ten years.

Neonatal haemolytic disease with co-existing Anti-D and Anti-C antibodies.

Neonatal haemolytic disease in the new-born remains of prime importance for paediatricians due to high perinatal morbidity and mortality rates. The Rh antigen family comprises several different antigens, out of which, D antigen incompatibility is well known for causing severe haemolytic disease in the foetus. Although the current literature shows anomalous cases where coexisting non-D-Rh and D-Rh antigens are the causative agents, there is very little information regarding post-natal outcomes in neonates bearing two different incompatibilities simultaneously.

Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring.

Mobility and low energy consumption are considered the main requirements for wireless body area sensor networks (WBASN) used in healthcare monitoring systems (HMS). In HMS, battery-powered sensor nodes with limited energy are used to obtain vital statistics about the body. Hence, energy-efficient schemes are desired to maintain long-term and steady connectivity of the sensor nodes.

Interobserver Variability in the Assessment of Fluorescence Angiography in the Colon.

Background: Fluorescence angiography in colorectal surgery is a technique that may lead to lower anastomotic leak rates. However, the interpretation of the fluorescent signal is not standardised and there is a paucity of data regarding interobserver agreement. The aim of this study is to assess interobserver variability in selection of the transection point during fluorescence angiography before anastomosis.

Facial palsy as a manifestation of COVID-19: A systematic review of cases.

Background And Aims: Facial palsy is a rare complication of the COVID-19 infection. Herein, we conducted a systematic review of all published cases of facial palsy post-COVID-19 infection in an attempt to educate the general population and medical practitioners regarding the likely occurrence of facial palsy in COVID-19 patients, its detection, effective treatment plan, and prognosis of the condition.

Methods: We searched PubMed, Google Scholar, and Directory of Open Access Journals (DOAJ) from December 1, 2019 to September 21, 2021.

EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A review.

Mental disorders represent critical public health challenges as they are leading contributors to the global burden of disease and intensely influence social and financial welfare of individuals. The present comprehensive review concentrate on the two mental disorders: Major depressive Disorder (MDD) and Bipolar Disorder (BD) with noteworthy publications during the last ten years. There is a big need nowadays for phenotypic characterization of psychiatric disorders with biomarkers.

Association of Pro198Leu polymorphism in glutathione peroxidase one (GPX1) gene with peripheral neuropathy in type 2 diabetic patients.

Objective: To evaluate the association of Pro198Leu polymorphism in glutathione peroxidase 1 gene in type 2 diabetic patients with neuropathy.

Methods: The comparative cross-sectional study was conducted from February 2 to November 30, 2018, at the Department of Biochemistry and Molecular Biology, Army Medical College, Rawalpindi, Pakistan, in collaboration with the Department of Neurology, Military Hospital, Rawalpindi. Diagnosed type 2 diabetics of either genders aged 40-70 years were divided into two equal groups of neuropathy and non- neuropathy subjects.

Damage control resuscitation using blood component therapy in standard doses has a limited effect on coagulopathy during trauma hemorrhage.

Objective: To determine the effectiveness of blood component therapy in the correction of trauma-induced coagulopathy during hemorrhage.

Background: Severe hemorrhage remains a leading cause of mortality in trauma. Damage control resuscitation strategies target trauma-induced coagulopathy (TIC) with the early delivery of high-dose blood components such as fresh frozen plasma (FFP) and platelet transfusions.

Hemostatic resuscitation is neither hemostatic nor resuscitative in trauma hemorrhage.

Background: Trauma hemorrhage continues to carry a high mortality rate despite changes in modern practice. Traditional approaches to the massively bleeding patient have been shown to result in persistent coagulopathy, bleeding, and poor outcomes. Hemostatic (or damage control) resuscitation developed from the discovery of acute traumatic coagulopathy and increased recognition of the negative consequences of dilutional coagulopathy.