Humans

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Support Vector Machines and logistic regression to predict temporal artery biopsy outcomes.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Aug 31, 2018
OBJECTIVE: Support vector machines (SVM) is a newer statistical method that has been reported to be advantageous to traditional logistic regression for clinical classification. We determine if SVM can better predict the results of temporal artery bio...
Biopsy Giant Cell Arteritis Temporal Arteries Logistic Models Support Vector Machine Predictive Value of Tests Humans ROC Curve
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Robotic tracheobronchoplasty is feasible, but which patients truly benefit?

The Journal of thoracic and cardiovascular surgery Aug 31, 2018
Surgical Mesh Tracheobronchomalacia Robotics Robotic Surgical Procedures Thoracic Surgical Procedures Humans
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Can Deep Learning Improve Genomic Prediction of Complex Human Traits?

Genetics Aug 31, 2018
The genetic analysis of complex traits does not escape the current excitement around artificial intelligence, including a renewed interest in "deep learning" (DL) techniques such as Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNN...
(1)
Genotype Linear Models Multifactorial Inheritance Deep Learning Genomics Humans Software
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Robot-assisted gait training to reduce pusher behavior: A randomized controlled trial.

Neurology Aug 31, 2018
OBJECTIVE: To determine the effects of 2 weeks of intensive robot-assisted gait training (RAGT) on pusher behavior compared to nonrobotic physiotherapy (nR-PT).
Brain Ischemia Therapy, Computer-Assisted Stroke Rehabilitation Perceptual Disorders Robotics Single-Blind Method Gait Posture Cerebral Hemorrhage Humans Female Aged Male Severity of Illness Index Treatment Outcome Follow-Up Studies
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Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.

Computer methods and programs in biomedicine Aug 31, 2018
BACKGROUND AND OBJECTIVE: In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include many false positives and thus in the following stage, false positive redu...
Diagnosis, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Databases, Factual Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Humans Neural Networks, Computer
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Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology.

Computers in biology and medicine Aug 31, 2018
Hospital readmission is one of the critical metrics used for measuring the performance of hospitals. The HITECH Act imposes penalties when patients are readmitted to hospitals if they are diagnosed with one of the six conditions mentioned in the Act....
Models, Biological Patient Readmission Humans Neural Networks, Computer Deep Learning Female Predictive Value of Tests Male Lupus Erythematosus, Systemic
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A hierarchical multimodal system for motion analysis in patients with epilepsy.

Epilepsy & behavior : E&B Aug 31, 2018
During seizures, a myriad of clinical manifestations may occur. The analysis of these signs, known as seizure semiology, gives clues to the underlying cerebral networks involved. When patients with drug-resistant epilepsy are monitored to assess thei...
Neurophysiological Monitoring Automatism Epilepsy, Temporal Lobe Movement Humans Biomechanical Phenomena Deep Learning Epilepsy Seizures Hand Datasets as Topic Face
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Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network.

Sensors (Basel, Switzerland) Aug 31, 2018
Wearable inertial measurement unit (IMU) sensors are powerful enablers for acquisition of motion data. Specifically, in human activity recognition (HAR), IMU sensor data collected from human motion are categorically combined to formulate datasets tha...
Wearable Electronic Devices Movement Human Activities Humans Neural Networks, Computer Deep Learning
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Machine Learning for Drug-Target Interaction Prediction.

Molecules (Basel, Switzerland) Aug 31, 2018
Identifying drug-target interactions will greatly narrow down the scope of search of candidate medications, and thus can serve as the vital first step in drug discovery. Considering that in vitro experiments are extremely costly and time-consuming, h...
Drug Interactions Drug Delivery Systems Databases as Topic Drug Discovery Humans Machine Learning Algorithms
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Representing vaccine misinformation using ontologies.

Journal of biomedical semantics Aug 31, 2018
BACKGROUND: In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While there are various levels of ...
Semantics Humans Biological Ontologies Communication Patient Acceptance of Health Care Vaccines
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