AIMC Topic: Decision Support Systems, Clinical

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SNOMED CT standard ontology based on the ontology for general medical science.

BMC medical informatics and decision making Aug 31, 2018
BACKGROUND: Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic health data. Some efforts have be...
Systematized Nomenclature of Medicine Biological Ontologies Humans Electronic Health Records Biomedical Research Decision Support Systems, Clinical
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Decision Support System for Seizure Onset Zone Localization Based on Channel Ranking and High-Frequency EEG Activity.

IEEE journal of biomedical and health informatics Aug 30, 2018
Interictal high-frequency oscillations (HFO) are a promising biomarker that can help define the seizure onset zone (SOZ) and predict the surgical outcome after the epilepsy surgery. The utility of HFO in planning the surgery, though, is unclear. Reas...
Humans Female Young Adult ROC Curve Decision Support Systems, Clinical Support Vector Machine Epilepsy Adult Male Adolescent Seizures Signal Processing, Computer-Assisted Electrocorticography
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Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning.

Oncology Aug 21, 2018
OBJECTIVE: This study aimed to use convolutional neural network (CNN), a deep learning software, to assist in cT1b diagnosis.
Neoplasm Staging Colposcopy ROC Curve Decision Support Systems, Clinical Area Under Curve Humans Neural Networks, Computer Colorectal Neoplasms Machine Learning Deep Learning
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Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach.

Journal of healthcare engineering Aug 19, 2018
Digoxin is a high-alert medication because of its narrow therapeutic range and high drug-to-drug interactions (DDIs). Approximately 50% of digoxin toxicity cases are preventable, which motivated us to improve the treatment outcomes of digoxin. The ob...
Adult Male Middle Aged Anti-Arrhythmia Agents Aged Drug-Related Side Effects and Adverse Reactions Humans Decision Support Systems, Clinical Aged, 80 and over Digoxin Machine Learning Young Adult Female
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Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain.

Computer methods and programs in biomedicine Aug 16, 2018
OBJECTIVE AND BACKGROUND: The exponential growth of the unstructured data available in biomedical literature, and Electronic Health Record (EHR), requires powerful novel technologies and architectures to unlock the information hidden in the unstructu...
Drug Therapy Semantics Biological Ontologies Disease Humans Machine Learning Knowledge Bases Data Mining Algorithms Decision Support Systems, Clinical
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Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms.

BMC bioinformatics Aug 13, 2018
BACKGROUND: The risk factors of diabetic retinopathy (DR) were investigated extensively in the past studies, but it remains unknown which risk factors were more associated with the DR than others. If we can detect the DR related risk factors more acc...
Diabetes Mellitus, Type 2 Middle Aged ROC Curve Decision Support Systems, Clinical Diabetic Retinopathy Aged, 80 and over Neural Networks, Computer Adult Machine Learning Male Risk Factors Humans Aged Algorithms Female
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Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles.

Clinical chemistry Aug 10, 2018
BACKGROUND: Urine steroid profiles are used in clinical practice for the diagnosis and monitoring of disorders of steroidogenesis and adrenal pathologies. Machine learning (ML) algorithms are powerful computational tools used extensively for the reco...
Humans Machine Learning Predictive Value of Tests Datasets as Topic Clinical Chemistry Tests Adrenal Gland Diseases Algorithms Steroids Decision Support Systems, Clinical
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Artificial intelligence: a new clinical support tool for stress echocardiography.

Expert review of medical devices Jul 19, 2018
Decision Support Systems, Clinical Humans Echocardiography, Stress Equipment and Supplies Artificial Intelligence Machine Learning
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Using preference learning for detecting inconsistencies in clinical practice guidelines: Methods and application to antibiotherapy.

Artificial intelligence in medicine Jul 9, 2018
Clinical practice guidelines provide evidence-based recommendations. However, many problems are reported, such as contradictions and inconsistencies. For example, guidelines recommend sulfamethoxazole/trimethoprim in child sinusitis, but they also st...
Humans Machine Learning Data Mining Practice Guidelines as Topic Primary Health Care Decision Support Techniques Decision Support Systems, Clinical Practice Patterns, Physicians' Guideline Adherence Anti-Bacterial Agents Bacterial Infections Knowledge Bases
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Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.

BMC emergency medicine Jul 3, 2018
BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs) has the potential to transform medicine through better prognosis, diagnosis and automation of tasks. Real-time application of machine learning algor...
Racial Groups Humans Age Factors Reproducibility of Results Emergency Service, Hospital Male Machine Learning Middle Aged Risk Factors Documentation Electronic Health Records Vital Signs Severity of Illness Index Female Time Factors Decision Support Systems, Clinical
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