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Accuracy of deep learning, a machine-learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment.

Scientific reports Aug 25, 2017
Rhegmatogenous retinal detachment (RRD) is a serious condition that can lead to blindness; however, it is highly treatable with timely and appropriate treatment. Thus, early diagnosis and treatment of RRD is crucial. In this study, we applied deep le...
Retinal Detachment Sensitivity and Specificity Male Middle Aged Fundus Oculi Humans Ophthalmoscopy Machine Learning Female Aged Deep Learning ROC Curve
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Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation.

IEEE journal of biomedical and health informatics Aug 24, 2017
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs) are used as keywords to retrieve valuable information from electronic health records. Indeed, they are encoded manually by experts following the Int...
Humans Machine Learning Electronic Health Records Documentation International Classification of Diseases Natural Language Processing Data Mining
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A pilot study in using deep learning to predict limited life expectancy in women with recurrent cervical cancer.

American journal of obstetrics and gynecology Aug 24, 2017
Humans Neural Networks, Computer Machine Learning Clinical Decision-Making Female Uterine Cervical Neoplasms Pilot Projects Decision Support Techniques Prognosis Retrospective Studies Neoplasm Recurrence, Local Linear Models Life Expectancy
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Effects of spatial fMRI resolution on the classification of naturalistic movies.

NeuroImage Aug 24, 2017
Studies involving multivariate pattern analysis (MVPA) of BOLD fMRI data generally attribute the success of the information-theoretic approach to BOLD signal contrast on the fine spatial scale of millimeters facilitating the classification or decodin...
Brain Female Young Adult Male Principal Component Analysis Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Eye Movements Visual Perception Machine Learning Magnetic Resonance Imaging Brain Mapping
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Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model.

Computer methods and programs in biomedicine Aug 24, 2017
BACKGROUND AND OBJECTIVE: Retinal vascular tree extraction plays an important role in computer-aided diagnosis and surgical operations. Junction point detection and classification provide useful information about the structure of the vascular network...
Normal Distribution Diagnosis, Computer-Assisted Retinal Vessels Models, Statistical Likelihood Functions Humans Machine Learning Algorithms
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Sex determination from the femur in Portuguese populations with classical and machine-learning classifiers.

Journal of forensic and legal medicine Aug 24, 2017
The assessment of sex is of paramount importance in the establishment of the biological profile of a skeletal individual. Femoral relevance for sex estimation is indisputable, particularly when other exceedingly dimorphic skeletal regions are missing...
Sex Determination by Skeleton Femur Portugal Forensic Anthropology Humans Middle Aged Logistic Models Aged, 80 and over Discriminant Analysis Adult Young Adult Machine Learning Male Female Aged
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Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.

Neuroscience Aug 24, 2017
Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in school-age children. Previously developed machine learning-based methods have discriminated patients with ADHD from normal controls by providing label ...
Rest Neural Pathways Attention Deficit Disorder with Hyperactivity Impulsive Behavior Child Magnetic Resonance Imaging Brain Mapping Attention Brain Male Prognosis Cohort Studies Humans Time Factors Machine Learning
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A deep convolutional neural network model to classify heartbeats.

Computers in biology and medicine Aug 24, 2017
The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart. Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a general term that refers to an abnormal heart rhythm. The basis of arrh...
Heart Rate Models, Cardiovascular Myocardial Contraction Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Humans Female Male Neural Networks, Computer Databases, Factual
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Parsing learning in networks using brain-machine interfaces.

Current opinion in neurobiology Aug 24, 2017
Brain-machine interfaces (BMIs) define new ways to interact with our environment and hold great promise for clinical therapies. Motor BMIs, for instance, re-route neural activity to control movements of a new effector and could restore movement to pe...
Brain-Computer Interfaces Learning Animals Neuronal Plasticity Machine Learning Brain Humans
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A state-independent network of depressive, negative and positive symptoms in male patients with schizophrenia spectrum disorders.

Schizophrenia research Aug 23, 2017
Depressive symptoms occur frequently in patients with schizophrenia. Several factor analytical studies investigated the associations between positive, negative and depressive symptoms and reported difficulties differentiating between these symptom do...
Schizophrenia Psychotic Disorders Schizophrenic Psychology Adult Male Psychiatric Status Rating Scales Humans Depression Neural Networks, Computer Young Adult
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