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Waterjet Ablation Therapy for Treating Benign Prostatic Obstruction in Patients with Small- to Medium-size Glands: 12-month Results of the First French Aquablation Clinical Registry.

European urology Jul 5, 2019
BACKGROUND: Aquablation has emerged as a novel ablative therapy combining image guidance and robotics for targeted waterjet adenoma resection.
Aged Male Middle Aged Postoperative Complications Length of Stay Humans Robotics Registries France Lower Urinary Tract Symptoms Ablation Techniques Treatment Outcome Operative Time Recovery of Function Prostatic Hyperplasia
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Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

JAMA network open Jul 3, 2019
IMPORTANCE: Early palliative care interventions drive high-value care but currently are underused. Health care professionals face challenges in identifying patients who may benefit from palliative care.
Humans Retrospective Studies Female Aged Deep Learning Dementia Registries Terminal Care Patient Selection Aged, 80 and over Male Middle Aged Risk Assessment Palliative Care
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Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.

JAMA network open Jul 3, 2019
IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enh...
Postoperative Hemorrhage Risk Adjustment Humans Registries Comparative Effectiveness Research Percutaneous Coronary Intervention Aged Machine Learning Clinical Decision Rules Coronary Artery Disease Female Male Risk Assessment United States Models, Statistical
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Enhancement of Risk Prediction With Machine Learning: Rise of the Machines.

JAMA network open Jul 3, 2019
Support Vector Machine Registries Percutaneous Coronary Intervention Humans Machine Learning
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Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.

JACC. Cardiovascular interventions Jun 26, 2019
OBJECTIVES: This study sought to determine whether machine learning can be used to better identify patients at risk for death or congestive heart failure (CHF) rehospitalization after percutaneous coronary intervention (PCI).
Minnesota Percutaneous Coronary Intervention Coronary Artery Disease Heart Failure Patient Readmission Aged Male Middle Aged Risk Assessment Time Factors Hospital Mortality Treatment Outcome Predictive Value of Tests Registries Clinical Decision-Making Female Reproducibility of Results Risk Factors Humans Machine Learning Decision Support Techniques
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Artificial Intelligence and Arthroplasty at a Single Institution: Real-World Applications of Machine Learning to Big Data, Value-Based Care, Mobile Health, and Remote Patient Monitoring.

The Journal of arthroplasty Jun 17, 2019
BACKGROUND: Driven by the recent ubiquity of big data and computing power, we established the Machine Learning Arthroplasty Laboratory (MLAL) to examine and apply artificial intelligence (AI) to musculoskeletal medicine.
Orthopedics Length of Stay Big Data Humans Monitoring, Physiologic Artificial Intelligence Registries Machine Learning Analgesics, Opioid Telemedicine Remote Consultation Risk Arthroplasty
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Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.

Stroke May 16, 2019
Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging (DWI) is typically performed based on a fixed apparent diffusion coefficient (ADC) threshold. Fixed ADC threshold methods may not be accurate because ...
Humans Neural Networks, Computer Software Female Aged Cerebral Infarction Male Diffusion Magnetic Resonance Imaging Middle Aged Registries Stroke
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Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China.

BMJ open May 16, 2019
INTRODUCTION: Left ventricular ejection fraction (LVEF) ≤35%, as current significant implantable cardioverter-defibrillator (ICD) indication for primary prevention of sudden cardiac death (SCD) in heart failure (HF) patients, has been widely recognis...
Multicenter Studies as Topic Registries Heart Failure Death, Sudden, Cardiac Prospective Studies Retrospective Studies Humans Ventricular Function, Left Machine Learning Stroke Volume Research Design China
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Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 15, 2019
OBJECTIVE: The manual adjudication of disease classification is time-consuming, error-prone, and limits scaling to large datasets. In ischemic stroke (IS), subtype classification is critical for management and outcome prediction. This study sought to...
Pattern Recognition, Automated Machine Learning Electronic Health Records Female Registries Humans Aged, 80 and over Reproducibility of Results Male Stroke Aged Data Mining Middle Aged Brain Ischemia Natural Language Processing Automation
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A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a certain precision, death and cardiovascular diseases in dialysis patients.
Registries Biomarkers Sensitivity and Specificity Support Vector Machine False Positive Reactions Humans Male Prognosis Risk Models, Statistical Machine Learning Cardiovascular Diseases Female Bayes Theorem Algorithms Middle Aged Aged Kidney Failure, Chronic Databases, Factual Italy
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