AIMC Topic: Female

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Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.

Journal of the American Heart Association Mar 5, 2019
Background The ability to accurately predict the occurrence of in-hospital death after percutaneous coronary intervention is important for clinical decision-making. We sought to utilize the New York Percutaneous Coronary Intervention Reporting System...
Data Mining New York Aged Male Stroke Volume Middle Aged Hospital Mortality Treatment Outcome Age Factors Registries Percutaneous Coronary Intervention Coronary Artery Disease Humans Machine Learning Databases, Factual Female Risk Factors
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Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Journal of the American Heart Association Mar 5, 2019
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learning technique called Bayesian Additive Regression Trees ( BART ). Methods and Results This analysis included 4714 participants from MESA (Multi-Ethnic S...
Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Humans Machine Learning Female Decision Trees Predictive Value of Tests Bayes Theorem Ventricular Remodeling Hypertrophy, Left Ventricular Middle Aged Diagnosis, Computer-Assisted United States Electrocardiography Magnetic Resonance Imaging
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A deep learning algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker and reverberation.

The Journal of the Acoustical Society of America Mar 1, 2019
For deep learning based speech segregation to have translational significance as a noise-reduction tool, it must perform in a wide variety of acoustic environments. In the current study, performance was examined when target speech was subjected to in...
Speech Perception Deep Learning Humans Hearing Loss, Sensorineural Speech Recognition Software Female Aged Signal-To-Noise Ratio Male Speech Intelligibility Middle Aged Hearing Aids
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MR-based treatment planning in radiation therapy using a deep learning approach.

Journal of applied clinical medical physics Mar 1, 2019
PURPOSE: To develop and evaluate the feasibility of deep learning approaches for MR-based treatment planning (deepMTP) in brain tumor radiation therapy.
Magnetic Resonance Imaging Stroke Humans Brain Neoplasms Radiotherapy Planning, Computer-Assisted Female Male Radiotherapy Dosage Aged Retrospective Studies Radiotherapy, Intensity-Modulated Middle Aged Aged, 80 and over Tomography, X-Ray Computed Deep Learning Young Adult Imaging, Three-Dimensional Adult
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Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: Patients with peripheral artery disease (PAD) are at risk of major adverse cardiac and cerebrovascular events. There are no readily available risk scores that can accurately identify which patients are most likely to sustain an event, mak...
Cerebrovascular Disorders Heart Diseases Time Factors United States Risk Factors Peripheral Arterial Disease Aged Tertiary Care Centers Male Aged, 80 and over Data Mining Middle Aged Risk Assessment Humans Machine Learning Prognosis Electronic Health Records Female
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Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: The absolute risk reduction (ARR) in cardiovascular events from therapy is generally assumed to be proportional to baseline risk-such that high-risk patients benefit most. Yet newer analyses have proposed using randomized trial data to de...
Risk Factors Aged Male Middle Aged Risk Assessment Hypertension Treatment Outcome Randomized Controlled Trials as Topic Blood Pressure Antihypertensive Agents Humans Machine Learning Female Data Mining
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Extensive Lymph Node Dissection Around the Left Laryngeal Nerve Achieved With Robot-assisted Thoracoscopic Esophagectomy.

Anticancer research Mar 1, 2019
BACKGROUND/AIM: The potential advantages of robot-assisted thoracoscopic esophagectomy (RATE) have yet to be verified. This study focused on the degree of lymph node dissection around the left recurrent laryngeal nerve (RLN).
Thoracic Surgery, Video-Assisted Male Esophagectomy Esophageal Neoplasms Middle Aged Humans Recurrent Laryngeal Nerve Esophageal Squamous Cell Carcinoma Female Lymph Node Excision Aged Robotics Adult
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Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

Diabetes technology & therapeutics Mar 1, 2019
OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm neonates based on continuous glucose monitoring (CGM).
Risk Assessment Cerebral Hemorrhage Blood Glucose Self-Monitoring Infant, Premature Gestational Age Humans Infant, Newborn Risk Factors Male Artificial Intelligence Retrospective Studies Female
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Humans Predictive Value of Tests Male Tomography, Optical Coherence Fundus Oculi Image Interpretation, Computer-Assisted Middle Aged Macular Edema False Positive Reactions Deep Learning Ranibizumab Vascular Endothelial Growth Factor A Intravitreal Injections Angiogenesis Inhibitors Photography Diagnostic Techniques, Ophthalmological Randomized Controlled Trials as Topic Diabetic Retinopathy Macula Lutea Neural Networks, Computer Retrospective Studies Female Sensitivity and Specificity
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Nomogram and Artificial Neural Network for Prognostic Performance on the Albumin-Bilirubin Grade for Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.

Journal of vascular and interventional radiology : JVIR Mar 1, 2019
PURPOSE: To construct the albumin-bilirubin (ALBI) grade and the Child-Turcotte-Pugh (CTP) score based on nomograms, as well as to develop an artificial neural network (ANN) to compare the prognostic performance of the 2 scores for hepatocellular car...
Retrospective Studies Female Reproducibility of Results Biomarkers, Tumor Male Humans Nomograms Neural Networks, Computer Treatment Outcome Decision Support Techniques Neoplasm Grading Middle Aged China Bilirubin Time Factors Chemoembolization, Therapeutic Liver Neoplasms Serum Albumin, Human Carcinoma, Hepatocellular
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