Results 31 to 40 of about 28,418,912 (162)

Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents

BMC Medical Informatics and Decision Making, 2020
Background Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long-term disability.
Carolyn E. Clausen, Bennett L. Leventhal, Øystein Nytrø, Roman Koposov, Odd Sverre Westbye, Thomas Brox Røst, Victoria Bakken, Kaban Koochakpour, Ketil Thorvik, Norbert Skokauskas   +9 more
doaj   +1 more source

The Effects of Implementing Clinical Decision Support Systems on the Diagnosis, Treatment and Management of Cancers: A Systematic Review

پیاورد سلامت, 2022
Background and Aim: Cancer is the second leading cause of death in the world, which leads to the death of more than 10 million people in the world every year.
saman Mohammadpour, Reza Rabiei, Elham Shabahrami, Kamyar Fathisalari, Maryam Khakzad, Mostafa Langarizadeh   +5 more
doaj  

Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications

International Journal of Telemedicine and Applications, 2017
In this paper, we present the design of a clinical decision support system (CDSS) for monitoring comorbid conditions. Specifically, we address the architecture of a CDSS by characterizing it from three layers and discuss the algorithms in each layer ...
Aihua Fan, Di Lin, Yu Tang
doaj   +1 more source

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project

BMC Medical Informatics and Decision Making, 2023
Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) pain disorders in primary care.
Fredrik Granviken, Ingebrigt Meisingset, Ottar Vasseljen, Kerstin Bach, Anita Formo Bones, Nina Elisabeth Klevanger   +5 more
doaj   +1 more source

A data-driven approach to clinical decision support in tinnitus retraining therapy

Frontiers in Neuroinformatics, 2022
BackgroundTinnitus, known as “ringing in the ears”, is a widespread and frequently disabling hearing disorder. No pharmacological treatment exists, but clinical management techniques, such as tinnitus retraining therapy (TRT), prove effective in helping ...
Katarzyna A. Tarnowska, Zbigniew W. Ras, Zbigniew W. Ras, Pawel J. Jastreboff   +3 more
doaj   +1 more source

A medical informatics perspective on clinical decision support systems. Findings from the yearbook 2013 section on decision support.

, 2013
To summarize excellent research and to select best papers published in 2012 in the field of computer-based decision support in healthcare. A bibliographic search focused on clinical decision support systems (CDSSs) and computer provider order entry was ...
Section Editors For The Imia Yearbook Section On Decision, Support, Bouaud, J, Lamy, Jb   +2 more
core   +3 more sources

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Integration of decision support systems to improve decision support performance [PDF]

, 2010
Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges.
Whitfield, R.I., Duffy, A.H.B., Boyle, I.M., Liu, S.   +3 more
core   +4 more sources

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review

Antibiotics, 2020
(1) Background: e-Health tools, especially in the form of clinical decision support systems (CDSSs), have been emerging more quickly than ever before. The main objective of this systematic review is to assess the influence of these tools on antibiotic ...
Érico Carvalho, Marta Estrela, Maruxa Zapata-Cachafeiro, Adolfo Figueiras, Fátima Roque, Maria Teresa Herdeiro   +5 more
doaj   +1 more source