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Laparoscopic single-anastomosis duodenal-jejunal bypass with sleeve gastrectomy (SADJB-SG): Surgical risk and long-term results.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery Nov 24, 2018
BACKGROUND: Single-anastomosis duodeno-jejunal bypass with sleeve gastrectomy (SADJB-SG) was developed as a simplified technique of DJB-SG, but long-term data are lacking.
Operative Time Laparoscopy Gastrectomy Humans Gastric Bypass Anastomosis, Surgical Retrospective Studies Female Obesity, Morbid Jejunum Weight Loss Adult Time Factors Male Duodenum Middle Aged Treatment Outcome Postoperative Complications
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High rates of atherogenic dyslipidemia, β-cell function loss, and microangiopathy among Turkish migrants with T2DM.

Diabetes & metabolic syndrome Nov 24, 2018
AIMS: Non-Caucasian migrants require dedicated approaches in diabetes management due to specific genetic; socio-cultural; demographic and anthropological determinants. Documenting such phenotypes allows for better understanding unmet needs and manage...
Turkey Waist Circumference Dyslipidemias Diabetic Angiopathies Insulin-Secreting Cells Aged Blood Glucose Cross-Sectional Studies Socioeconomic Factors Male Body Mass Index Middle Aged Transients and Migrants Case-Control Studies Humans Phenotype Female
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Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

Academic radiology Nov 23, 2018
RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential t...
Tidal Volume Airway Resistance Functional Residual Capacity Middle Aged Disease Progression Support Vector Machine Predictive Value of Tests Humans Retrospective Studies Female Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Male
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The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Emergency medicine Australasia : EMA Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Emergency Service, Hospital Bayes Theorem Patient Admission New South Wales ROC Curve Logistic Models Triage Area Under Curve Machine Learning Forecasting Retrospective Studies Female Aged Aged, 80 and over Adult Male Humans Middle Aged Adolescent
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Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy.

Musculoskeletal science & practice Nov 23, 2018
INTRODUCTION: Artificial intelligence (AI) is a field of mathematical engineering which has potential to enhance healthcare through new care delivery strategies, informed decision making and facilitation of patient engagement. Machine learning (ML) i...
Male Artificial Intelligence Decision Support Systems, Clinical Humans Machine Learning Physical Therapy Modalities Algorithms Female Biomedical Research
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A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place.

Nursing outlook Nov 23, 2018
OBJECTIVES: To offer practical guidance to nurse investigators interested in multidisciplinary research that includes assisting in the development of artificial intelligence (AI) algorithms for "smart" health management and aging-in-place.
Humans Artificial Intelligence Female Aged Male Middle Aged Telemedicine Activities of Daily Living Monitoring, Ambulatory Independent Living Home Care Services Nursing Care Housing for the Elderly
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Comparison of Muscular Activity and Movement Performance in Robot-Assisted and Freely Performed Exercises.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 23, 2018
End-effector-based robotic systems are, in particular, suitable for extending physical therapy in stroke rehabilitation. An adequate therapy and thus the recovery of movement can only be guaranteed if the physiological muscular activation and movemen...
Upper Extremity Stroke Rehabilitation Signal Processing, Computer-Assisted Electromyography Healthy Volunteers Psychomotor Performance Movement Middle Aged Exercise Muscle, Skeletal Robotics Humans Algorithms Female Young Adult Adult Biomechanical Phenomena Male
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The pharmacokinetics and pharmacodynamics of intravenous hydromorphone in horses.

Veterinary anaesthesia and analgesia Nov 22, 2018
OBJECTIVE: Describe the pharmacokinetics and pharmacodynamics of intravenous hydromorphone in healthy horses.
Administration, Intravenous Single-Blind Method Female Hydromorphone Analgesics, Opioid Temperature Cross-Over Studies Animals Horses Male Random Allocation
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DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs.

Ophthalmology Nov 22, 2018
PURPOSE: In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming partic...
Humans Prospective Studies Sensitivity and Specificity Male Middle Aged Disease Progression Severity of Illness Index Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Diagnostic Techniques, Ophthalmological Diagnosis, Computer-Assisted Photography Deep Learning Retinal Drusen Models, Theoretical Geographic Atrophy Area Under Curve
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Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets.

Human brain mapping Nov 22, 2018
Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a significant amount of manual inspection. Major artifacts, such as severe subject motion, are easy to identify to naïve observers but lack automated iden...
Humans Supervised Machine Learning Female Quality Control Infant, Newborn Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Artifacts Datasets as Topic
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