Results 51 to 60 of about 2,600,710 (328)

Amyotrophic Lateral Sclerosis Prevalence Projection in 2040: A Less Rare Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To project ALS prevalence across multiple countries through 2040, accounting for both population aging and increased survival. Methods Data from the Piemonte and Valle d'Aosta ALS register (PARALS) was used to estimate the trends in incidence and prevalence from 2005 to 2019. Survival trends over this period were also assessed.
Rosario Vasta   +18 more
wiley   +1 more source

Stage-specific harm in early-stage hospitals in South Korea: a retrospective analysis using the healthcare complaints analysis tool

open access: yesBMJ Open
Objectives To analyse patient complaints from an early-stage hospital in South Korea using the Healthcare Complaints Analysis Tool, identify harm patterns across care stages and provide insights for resource allocation and risk management.Design ...
Daun Jeong   +6 more
doaj   +1 more source

Radio Resource Allocation in Mobile Communication Systems

open access: yesCommunications, 2005
In the article we deal with two types of Call Admission Control Schemes (Reservation-based CAC scheme and Probability-based CAC scheme) and we made simulations in Matlab environment.
Andrej Husar   +3 more
doaj   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein   +13 more
wiley   +1 more source

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation [PDF]

open access: yesIEEE/ACM Transactions on Networking, 2019
There is an increasing interest in a fast-growing machine learning technique called Federated Learning (FL), in which the model training is distributed over mobile user equipment (UEs), exploiting UEs’ local computation and training data.
Canh T. Dinh   +6 more
semanticscholar   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

Scarce resource allocation

open access: yesMajallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, 2006
Background and Objective: With increase number of recognized communicable diseases and availabity of modern treatment procedure technologies beside. And also the more expectation of population and limitation of available resources on the other side need
S Motevalli Zadeh,, SH Zakiani
doaj  

Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm

open access: yesAdvances in Multimedia, 2022
In order to improve the efficiency of wireless network virtualization resource processing, this paper combines the dynamic resource allocation algorithm to construct a wireless network virtualization resource sharing model.
Xueming Guan, Yaozhi Ma
doaj   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

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