AIMC Topic: Humans

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Explaining the unique nature of individual gait patterns with deep learning.

Scientific reports Feb 20, 2019
Machine learning (ML) techniques such as (deep) artificial neural networks (DNN) are solving very successfully a plethora of tasks and provide new predictive models for complex physical, chemical, biological and social systems. However, in most cases...
Adult Biomechanical Phenomena Male Healthy Volunteers Deep Learning Gait Humans Female Young Adult
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Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks.

Scientific reports Feb 20, 2019
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but exclusive markers are not available for many cell types. A second appr...
Deep Learning Humans Organ Specificity Cells Neural Networks, Computer Cell Compartmentation Algorithms Gene Expression Profiling
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Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations.

Journal of medical Internet research Feb 20, 2019
BACKGROUND: The amount of medical and clinical-related information on the Web is increasing. Among the different types of information available, social media-based data obtained directly from people are particularly valuable and are attracting signif...
Internet Data Mining Humans Machine Learning Social Media Natural Language Processing Databases, Factual Population Surveillance
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Automatic 3D cephalometric annotation system using shadowed 2D image-based machine learning.

Physics in medicine and biology Feb 20, 2019
This paper presents a new approach to automatic three-dimensional (3D) cephalometric annotation for diagnosis, surgical planning, and treatment evaluation. There has long been considerable demand for automated cephalometric landmarking, since manual ...
Imaging, Three-Dimensional Anatomic Landmarks Humans Cephalometry Machine Learning Automation Reproducibility of Results
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Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas.

PLoS computational biology Feb 20, 2019
Based on morphology it is often challenging to distinguish between the many different soft tissue sarcoma subtypes. Moreover, outcome of disease is highly variable even between patients with the same disease. Machine learning on transcriptome sequenc...
Kaplan-Meier Estimate Computational Biology Databases, Genetic Sarcoma Drug Discovery Gene Expression Profiling Transcriptome Humans Machine Learning Prognosis Male Middle Aged Female Biomarkers, Tumor
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Experimental Study on Upper-Limb Rehabilitation Training of Stroke Patients Based on Adaptive Task Level: A Preliminary Study.

BioMed research international Feb 20, 2019
During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usually leads the subject becoming bored or frustrated; therefore, the difficulty of the training task has an important influence on the effectiveness of...
Robotics Male Humans Physical Therapy Modalities Stroke Middle Aged Female Stroke Rehabilitation Upper Extremity Recovery of Function Adult
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Multifocus Image Fusion Using Wavelet-Domain-Based Deep CNN.

Computational intelligence and neuroscience Feb 20, 2019
Multifocus image fusion is the merging of images of the same scene and having multiple different foci into one all-focus image. Most existing fusion algorithms extract high-frequency information by designing local filters and then adopt different fus...
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Neurons Humans Wavelet Analysis Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Models, Neurological
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Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients.

PloS one Feb 20, 2019
Currently in patients with bladder cancer, various clinical evaluations (imaging, operative findings at transurethral resection and radical cystectomy, pathology) are collectively used to determine disease status and prognosis, and recommend neoadjuv...
Cystectomy Urinary Bladder Neoplasms Models, Biological Disease-Free Survival Aged, 80 and over Humans Databases, Factual Survival Rate Machine Learning Male Female Middle Aged Aged
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Potential of a machine-learning model for dose optimization in CT quality assurance.

European radiology Feb 19, 2019
OBJECTIVES: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization potential for quality assurance in a retrospective, cross-sectional study.
Machine Learning Retrospective Studies Female Aged Humans Cross-Sectional Studies Male Middle Aged Adolescent Aged, 80 and over Young Adult Adult Multidetector Computed Tomography Radiation Injuries Thoracic Diseases Quality Assurance, Health Care Radiation Dosage Radiography, Thoracic
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EEG-based mild depression recognition using convolutional neural network.

Medical & biological engineering & computing Feb 19, 2019
Electroencephalography (EEG)-based studies focus on depression recognition using data mining methods, while those on mild depression are yet in infancy, especially in effective monitoring and quantitative measure aspects. Aiming at mild depression re...
Neural Networks, Computer Algorithms Female Case-Control Studies Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Young Adult Emotions Male Electroencephalography Electrodes Depression Adolescent Time Factors Humans
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