Results 101 to 110 of about 28,418,912 (162)
Contributions on Clinical Decision Support from the 2018 Literature.
To summarize recent research and select the best papers published in 2018 in the field of computerized clinical decision support for the Decision Support section of the International Medical Informatics Association (IMIA) yearbook.
Section Editors For The Imia Yearbook Section On Decision, Support +2 more
core +2 more sources
Clinical decision support systems (CDSSs) have been developed to give guidance for referring physicians to make appropriate decisions at the point of care.
Thomas Kroencke +7 more
doaj +1 more source
BackgroundA guideline-based clinical decision support system (CDSS) is a knowledge-based system designed to collect crucial data from electronic medical records to generate decision-making based on system data requirements and inputs from standard ...
Tullaya Sitasuwan +4 more
doaj +1 more source
SIRT1 Silences L1 Retrotransposons by Stabilizing Heterochromatin‐Modifying Complexes
SIRT1 binds the LINE‐1 5′‐UTR and recruits the heterochromatin modifiers Lamin B1 and KAP1 to maintain H3K9me3 levels, thereby suppressing LINE‐1 retrotransposition. SIRT1 deficiency enhances LINE‐1 transcription, leading to upregulation of senescence‐associated secretory phenotype factors, activation of the cGAS‐STING pathway, and consequent cellular ...
Xiaona Wang +8 more
wiley +1 more source
Holistic health care (HHC) is a synonym for complete patient care, and as such an efficient clinical decision support system (CDSS) for HHC is critical to support the judgement of physician’s decision in response of patient’s physical, emotional, social,
Wang-Chuan Juang +3 more
doaj
Technology‐Driven Decision Support for Opioid Tapering: A Scoping Review
ABSTRACT Background General practitioners manage most opioid tapering. This process requires time‐consuming, individualised planning accounting for patient preferences, dose options and costs. Consequently, clinicians need tools to support tapering.
Laurits Valberg Hemmingsen +3 more
wiley +1 more source
Background Machine learning based clinical decision support systems (CDSSs) have been proposed as a means of advancing personalized treatment planning for disorders, such as depression, that have a multifaceted etiology, course, and symptom profile ...
Meredith Gunlicks-Stoessel +7 more
doaj +1 more source
Leveraging Drools Workbench for Effective Clinical Decision Support System Design [PDF]
This paper explores the conception, development, and real-world evaluation of a Clinical Decision Support System (CDSS) aimed at enhancing health-care decision-making.
Arvanitis, Theodoros N.; id_orcid +5 more
core +1 more source
Lu-Hsuan Wu,1,2 I-Ling Liou,2 Yea-Huei Kao Yang,1 Ching-Lan Cheng1,2 1School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 2Department of Pharmacy, National ...
Wu LH, Liou IL, Kao Yang YH, Cheng CL
doaj
BackgroundThe increasing prevalence of cannabis use has motivated researchers to develop computational behavioral models that predict usage patterns and related health impacts in naturalistic environments.
Tongze Zhang +3 more
doaj +1 more source

