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Simulating soil-carbon-water interactions in two profiles to select precision cover for soil-health and drought-resilience
Published 2023-08-01“…Soil-environmental factors of seven MS were modeled to reveal the subtle conditions within the profiles of two similar soils of closely-located sites. Decision support systems with Strategic Analysis along with the simulated-results were used for long-term impact-analysis and select a precision cover based on soil and site. …”
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Machine learning models based on clinical indices and cardiotocographic features for discriminating asphyxia fetuses—Porto retrospective intrapartum study
Published 2023-03-01“…Future studies should explore decision support systems to detect sepsis, including clinical and CTGs features (linear and non-linear).…”
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4763
Métodos de procesamiento de datos para sistemas recomendadores de filtrado colaborativo
Published 2022-01-01“…Estos resultados fueron publicados en 8 artículos Grupo I MES, incluyendo revistas Web of Science de alto factor de impacto como Knowledge-Based Systems y Decision Support Systems. Conclusiones. Los métodos propuestos son, por tanto, integrables a cualquier sistema recomendador de filtrado colaborativo, siendo capaces de mejorar la eficacia de los mismos. …”
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MODERN ASPECTS OF PHARMACOGENETICS: FROM THEORY TO PRACTICE IN PERINATOLOGY AND PEDIATRICS
Published 2023-10-01“…Pharmacogenetic clinical decision support systems (CDSS) are computer- based systems that assist healthcare providers in prescribing medications at the point of care. …”
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Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design
Published 2024-02-01“…In addition, the increasing use of clinical decision support systems (CDSSs) provides assistance to clinicians in their practice, allowing them to improve patient outcomes. …”
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COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring
Published 2024-03-01“…A major barrier to the widespread adoption of POCUS in the COVID-19 clinical workflow is the scarcity of expert clinicians who can interpret POCUS examinations, leading to considerable interest in artificial intelligence-driven clinical decision support systems to tackle this challenge. A major challenge to building deep neural networks for COVID-19 screening using POCUS is the heterogeneity in the types of probes used to capture ultrasound images (e.g., convex vs. linear probes), which can lead to very different visual appearances. …”
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Assessing the Performance of a New Artificial Intelligence–Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study
Published 2021-11-01“… BackgroundDiagnostic decision support systems (DDSS) are computer programs aimed to improve health care by supporting clinicians in the process of diagnostic decision-making. …”
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q-Rung orthopair fuzzy hypersoft ordered aggregation operators and their application towards green supplier
Published 2023-02-01“…The development and implementation of decision support systems aimed to solve these difficulties at a rapid rate. …”
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4769
Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study
Published 2022-04-01“… BackgroundDigital health technologies such as continuous remote monitoring and artificial intelligence–driven clinical decision support systems could improve clinical outcomes in intensive care medicine. …”
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Clinical Decision Support Requirements for Ventricular Tachycardia Diagnosis Within the Frameworks of Knowledge and Practice: Survey Study
Published 2024-03-01“… BackgroundVentricular tachycardia (VT) diagnosis is challenging due to the similarity between VT and some forms of supraventricular tachycardia, complexity of clinical manifestations, heterogeneity of underlying diseases, and potential for life-threatening hemodynamic instability. Clinical decision support systems (CDSSs) have emerged as promising tools to augment the diagnostic capabilities of cardiologists. …”
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Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis
Published 2022-04-01“…These obtained results show that leveraging the multi-scale and multi-omic nature of cancer data can enhance the performance of single-modality clinical decision support systems in personalized medicine, consequently improving the diagnosis of the patient.…”
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4774
Climate change effects on bread wheat phenology and grain quality: A case study in the north of Italy
Published 2022-08-01“…In summary, herein reported, data might contribute to assessing the effects of CC on wheat phenology and quality, representing a tool for both predictive purposes and decision supporting systems for farmers, as well as can guide future breeding choices for varietal innovation.…”
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Quantitative bone imaging biomarkers and joint space analysis of the articular Fossa in temporomandibular joint osteoarthritis using artificial intelligence models
Published 2022-09-01“…More studies are needed to optimize and further enhance machine-learning algorithms to detect early markers of disease, improve prediction of disease progression and severity to ultimately better serve clinical decision support systems in the treatment of patients with TMJ OA.…”
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Evolution of HLA-B Pharmacogenomics and the Importance of PGx Data Integration in Health Care System: A 10 Years Retrospective Study in Thailand
Published 2022-04-01“…Incorporating PGx data, along with other clinical and non-clinical data, into clinical decision support systems (CDS) and national formularies, on the other hand, would assist prescribers in prioritizing therapy for their patients. …”
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CHIVID: A Rapid Deployment of Community and Home Isolation During COVID-19 Pandemics
Published 2024-01-01“…Clinical and Translational Impact Statement— CHIVID’s success arises from seamlessly integrating telemedicine into third-party application within a limited timeframe and effectively using clinical decision support systems to address challenges during the COVID-19 crisis.…”
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Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools
Published 2023-02-01“…In order to improve clinical care through interventions relating to digital clinical decision-support systems (CDSS), we set out to establish a framework for clinical decision-making in dengue management to inform implementation. …”
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Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review
Published 2022-02-01“…Wearable monitors and artificial intelligence–based decision support systems could be integrated with hospital-based digital health systems such as electronic health records (EHRs) to provide higher level care at a relatively low cost. …”
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Basic electronic health record (EHR) adoption in **Türkiye is nearly complete but challenges persist
Published 2023-09-01“…Conclusions Although there has been outstanding (50%) progress since 2017 in Turkish public hospitals, it seems there is still a long way to disseminate comprehensive EHR functions, such as closed-loop medication administration, clinical decision support systems, patient engagement, etc. Measuring the stage of EHR adoption at regular intervals and on analytical scales is an effective management tool for policymakers. …”
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