AIMC Topic: Humans

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Evaluating the evidence for biotypes of depression: Methodological replication and extension of.

NeuroImage. Clinical Mar 27, 2019
BACKGROUND: Psychiatric disorders are highly heterogeneous, defined based on symptoms with little connection to potential underlying biological mechanisms. A possible approach to dissect biological heterogeneity is to look for biologically meaningful...
Middle Aged Magnetic Resonance Imaging Depressive Disorder, Major Connectome Female Anxiety Disorders Humans Adult Machine Learning Male Brain
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A multi hidden recurrent neural network with a modified grey wolf optimizer.

PloS one Mar 27, 2019
Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising. New and dynamic hybrid systems are...
Area Under Curve Humans Algorithms Neural Networks, Computer ROC Curve Logistic Models
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Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.

IEEE transactions on cybernetics Mar 26, 2019
As a hot topic in brain disease prognosis, predicting clinical measures of subjects based on brain magnetic resonance imaging (MRI) data helps to assess the stage of pathology and predict future development of the disease. Due to incomplete clinical ...
Algorithms Brain Prognosis Supervised Machine Learning Alzheimer Disease Deep Learning Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging
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Predicting personalized process-outcome associations in psychotherapy using machine learning approaches-A demonstration.

Psychotherapy research : journal of the Society for Psychotherapy Research Mar 26, 2019
Personalized treatment methods have shown great promise in efficacy studies across many fields of medicine and mental health. Little is known, however, about their utility in process-outcome research. This study is the first to apply personalized tr...
Humans Longitudinal Studies Outcome and Process Assessment, Health Care Machine Learning Psychotherapeutic Processes Precision Medicine Therapeutic Alliance Adult
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Deep Collaborative Filtering for Prediction of Disease Genes.

IEEE/ACM transactions on computational biology and bioinformatics Mar 26, 2019
Accurate prioritization of potential disease genes is a fundamental challenge in biomedical research. Various algorithms have been developed to solve such problems. Inductive Matrix Completion (IMC) is one of the most reliable models for its well-est...
Computational Biology Databases, Genetic Disease Animals Deep Learning Genes Humans Mice Algorithms Genetic Association Studies
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Application of deep learning-based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy.

European radiology Mar 26, 2019
OBJECTIVES: To retrospectively evaluate the diagnostic performance of a convolutional neural network (CNN) model in detecting pneumothorax on chest radiographs obtained after percutaneous transthoracic needle biopsy (PTNB) for pulmonary lesions.
Image-Guided Biopsy Biopsy, Needle Pneumothorax Drainage Area Under Curve Radiography Sensitivity and Specificity Male Middle Aged Neural Networks, Computer Retrospective Studies Female Deep Learning ROC Curve Humans Lung Diagnosis, Computer-Assisted
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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.

NeuroImage Mar 26, 2019
We introduce Bayesian QuickNAT for the automated quality control of whole-brain segmentation on MRI T1 scans. Next to the Bayesian fully convolutional neural network, we also present inherent measures of segmentation uncertainty that allow for qualit...
Uncertainty Image Processing, Computer-Assisted Magnetic Resonance Imaging Bayes Theorem Brain Deep Learning Humans
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Evaluation of a sensor algorithm for motor state rating in Parkinson's disease.

Parkinsonism & related disorders Mar 26, 2019
INTRODUCTION: A treatment response objective index (TRIS) was previously developed based on sensor data from pronation-supination tests. This study aimed to examine the performance of TRIS for medication effects in a new population sample with Parkin...
Levodopa Motor Activity Parkinson Disease Accelerometry Antiparkinson Agents Humans Female Aged Middle Aged Support Vector Machine Aged, 80 and over Wearable Electronic Devices Male Dose-Response Relationship, Drug
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Quality assurance of computer-aided detection and diagnosis in colonoscopy.

Gastrointestinal endoscopy Mar 26, 2019
Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field "deep learning," have direct implications for computer-aided detection and diagnosis (CADe and/or CADx) for colonoscopy. AI is expected to have at least 2 m...
Humans Artificial Intelligence Deep Learning Adenocarcinoma Adenoma Colonic Polyps Colorectal Neoplasms Colonoscopy Diagnosis, Computer-Assisted Quality Assurance, Health Care Intestinal Polyps
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A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.

Magnetic resonance imaging Mar 26, 2019
The ability to evaluate empirical diffusion MRI acquisitions for quality and to correct the resulting imaging metrics allows for improved inference and increased replicability. Previous work has shown promise for estimation of bias and variance of ge...
Nerve Net Diffusion Tensor Imaging Anisotropy Diffusion Magnetic Resonance Imaging Bias Signal-To-Noise Ratio Monte Carlo Method Reproducibility of Results Deep Learning Models, Statistical Algorithms Humans Brain
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