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U-healthcare system: State-of-the-art review and challenges
(
SpringerLink
, 2013 , Article)
With the increase of an ageing population and chronic diseases, society becomes more health conscious and patients become "health consumers" looking for better health management. People's perception is shifting towards ...
A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
(
MDPI
, 2022 , Article)
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop ...
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ...
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
(
MDPI
, 2021 , Article)
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...
An intelligent and low-cost eye-tracking system for motorized wheelchair control
(
MDPI AG
, 2020 , Article)
In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases ...
Acetylcholinesterase inhibitors and risk of bleeding and acute ischemic events in non-hypertensive Alzheimer's patients
(
John Wiley and Sons Inc
, 2021 , Article)
Introduction
Acetylcholinesterase inhibitors (AChEIs) are commonly used to treat mild to moderate cases of Alzheimer disease (AD). To the best of our knowledge, there has been no study estimating the risk of bleeding and ...
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ...
Utilization of evidence-based secondary prevention medications at the time of discharge in patients with acute coronary syndrome (ACS) in Qatar
(
Bentham Science Publishers
, 2016 , Article)
Background and Objectives: In Qatar, ACS (Acute Coronary Syndrome) has become the leading cause of morbidity and mortality. Guidelines recommend that ACS patients should receive indefinite treatment with antiplatelets, ...
The MethodologicAl STandards for Epidemiological Research (MASTER) scale demonstrated a unified framework for bias assessment
(
Elsevier Inc.
, 2021 , Article)
Objective: This paper presents a unified framework for assessment of the methodological quality of analytic study designs. Study Design and Setting: A systematic review of 393 methodological quality assessment tools that ...
Core outcomes in gestational diabetes for treatment trials: The Gestational Metabolic Group treatment set
(
John Wiley and Sons Inc
, 2021 , Article)
Aims
With the rising number of outcomes being reported following gestational diabetes (GDM), the outcomes in existing studies vary widely making it challenging to compare and contrast the effectiveness of different ...