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Machine learning for clinical decision support in infectious diseases: a narrative review of current applications

Clinical microbiology and infection, 2020-05, Vol.26 (5), p.584-595

2020

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Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review

Journal of medical Internet research, 2020-07, Vol.22 (7), p.e18477-e18477

2020

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Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system

BMC medical informatics and decision making, 2017-04, Vol.17 (1), p.36-36, Article 36

2017

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Privacy-Preserving Patient-Centric Clinical Decision Support System on Naïve Bayesian Classification

IEEE journal of biomedical and health informatics, 2016-03, Vol.20 (2), p.655-668

2016

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A systematic review of trials evaluating success factors of interventions with computerised clinical decision support

Implementation science : IS, 2018-08, Vol.13 (1), p.114-114, Article 114

2018

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A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

Journal of medical Internet research, 2020-08, Vol.22 (8), p.e18388

2020

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What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation

Implementation science : IS, 2017-09, Vol.12 (1), p.113-113, Article 113

2017

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Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine

IEEE journal of biomedical and health informatics, 2020-01, Vol.24 (1), p.235-246

2020

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Discovery and Clinical Decision Support for Personalized Healthcare

IEEE journal of biomedical and health informatics, 2017-07, Vol.21 (4), p.1133-1145

2017

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Use of Electronic Health Records and Clinical Decision Support Systems for Antimicrobial Stewardship

Clinical infectious diseases, 2014-10, Vol.59 (suppl_3), p.S122-S133

2014

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Integrating pharmacogenomics into electronic health records with clinical decision support

American journal of health-system pharmacy, 2016-12, Vol.73 (23), p.1967-1976

2016

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Revolutionary Potential of ChatGPT in Constructing Intelligent Clinical Decision Support Systems

Annals of biomedical engineering, 2024-02, Vol.52 (2), p.125-129

2024

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The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support

Implementation science : IS, 2018-06, Vol.13 (1), p.86-86, Article 86

2018

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Deep Learning in Personalized Healthcare and Decision Support

1, 2023

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A clinical case of electronic health record drug alert fatigue: consequences for patient outcome

Pediatrics (Evanston), 2013-06, Vol.131 (6), p.e1970

2013

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Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review

Journal of medical Internet research, 2022-02, Vol.24 (2), p.e31083-e31083

2022

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Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study

Orphanet journal of rare diseases, 2019-03, Vol.14 (1), p.69-12, Article 69

2019

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EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning

Journal of the American Medical Informatics Association : JAMIA, 2020-05, Vol.27 (5), p.747-756

2020

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An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients

Journal of biomedical informatics, 2012-06, Vol.45 (3), p.429-446

2012

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A survey on AI and decision support systems in psychiatry – Uncovering a dilemma

Expert systems with applications, 2022-09, Vol.202, p.117464, Article 117464

2022

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Simulation optimization for an emergency department healthcare unit in Kuwait

European journal of operational research, 2009-11, Vol.198 (3), p.936-942

2009

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A decision support system for vehicle relocation operations in carsharing systems

Transportation research. Part E, Logistics and transportation review, 2009, Vol.45 (1), p.149-158

2009

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A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard

BMC medical informatics and decision making, 2019-05, Vol.19 (1), p.97-97, Article 97

2019

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Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review

Implementation science : IS, 2023-07, Vol.18 (1), p.32-32, Article 32

2023

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Intelligent Decision Support Systems

Sànchez-Marrè, Miquel

1, 2022

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