[HTML][HTML] Nurse-led telehealth intervention for rehabilitation (telerehabilitation) among community-dwelling patients with chronic diseases: systematic review and meta …

AYL Lee, AKC Wong, TTM Hung, J Yan… - Journal of medical Internet …, 2022 - jmir.org
Background: Chronic diseases are putting huge pressure on health care systems. Nurses
are widely recognized as one of the competent health care providers who offer …

Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis

W Chen, K Howard, G Gorham… - Journal of the …, 2022 - academic.oup.com
Objectives Electronic health record-based clinical decision support (CDS) has the potential
to improve health outcomes. This systematic review investigates the design, effectiveness …

Machine learning and XAI approaches for allergy diagnosis

R Kavya, J Christopher, S Panda, YB Lazarus - … Signal Processing and …, 2021 - Elsevier
This work presents a computer-aided framework for allergy diagnosis which is capable of
handling comorbidities. The system was developed using datasets collected from allergy …

Trends in management of hip and knee osteoarthritis in general practice in Australia over an 11-year window: a nationwide cross-sectional survey

KL Bennell, C Bayram, C Harrison, C Brand… - The Lancet Regional …, 2021 - thelancet.com
Background We aimed to describe trends in knee and hip OA management by general
medical practitioners (GPs) in Australia. Methods We analysed cross-sectional survey data …

[HTML][HTML] Connected mental health: systematic mapping study

N Drissi, S Ouhbi, MA Janati Idrissi… - Journal of Medical …, 2020 - jmir.org
Background Although mental health issues constitute an increasing global burden affecting
a large number of people, the mental health care industry is still facing several care delivery …

Quality-in-use characteristics for clinical decision support system assessment

L Souza-Pereira, S Ouhbi, N Pombo - Computer Methods and Programs in …, 2021 - Elsevier
Background: Clinical decision support systems (CDSSs) are developed to support
healthcare practitioners with decision-making about therapy and diagnosis' confirmation …

A novel early diagnostic framework for chronic diseases with class imbalance

X Yuan, S Chen, C Sun, L Yuwen - Scientific reports, 2022 - nature.com
Chronic diseases are one of the most severe health issues in the world, due to their terrible
clinical presentations such as long onset cycle, insidious symptoms, and various …

MSProDiscuss™ clinical decision support tool for identifying multiple sclerosis progression

T Ziemssen, J Vandercappellen… - Journal of Clinical …, 2022 - mdpi.com
This article describes the rationale for the development of the MSProDiscuss™ clinical
decision support (CDS) tool, its development, and insights into how it can help neurologists …

Identifying the data elements and functionalities of clinical decision support systems to administer medication for neonates and pediatrics: a systematic literature …

S Norouzi, Z Galavi, L Ahmadian - BMC Medical Informatics and Decision …, 2023 - Springer
Background Patient safety is a central healthcare policy worldwide. Adverse drug events
(ADE) are among the main threats to patient safety. Children are at a higher risk of ADE in …

A genomic information management system for maintaining healthy genomic states and application of genomic big data in clinical research

JA Gim - International Journal of Molecular Sciences, 2022 - mdpi.com
Improvements in next-generation sequencing (NGS) technology and computer systems
have enabled personalized therapies based on genomic information. Recently, health …