AIMC Topic: Humans

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Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network.

Computational and mathematical methods in medicine Feb 19, 2019
Scoliosis is a common spinal condition where the spine curves to the side and thus deforms the spine. Curvature estimation provides a powerful index to evaluate the deformation severity of scoliosis. In current clinical diagnosis, the standard curvat...
Scoliosis Humans Computational Biology Neural Networks, Computer Mathematical Computing Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Spine
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Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records.

PloS one Feb 19, 2019
OBJECTIVE: The rapid proliferation of machine learning research using electronic health records to classify healthcare outcomes offers an opportunity to address the pressing public health problem of adolescent suicidal behavior. We describe the devel...
Humans Electronic Health Records Adolescent Female Machine Learning Suicidal Ideation Psychology, Adolescent Young Adult Algorithms Child Natural Language Processing Male Adolescent, Hospitalized Adolescent Behavior Suicide, Attempted Psychiatric Department, Hospital Massachusetts
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Applications of artificial neural networks in health care organizational decision-making: A scoping review.

PloS one Feb 19, 2019
Health care organizations are leveraging machine-learning techniques, such as artificial neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to diagnosis are well-known; however, ANN are increasingly used to info...
Machine Learning Humans Delivery of Health Care Neural Networks, Computer Decision Making, Organizational
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Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

IEEE transactions on medical imaging Feb 18, 2019
Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and diagnosis. Recently, convolutional neural networks demonstrate promising...
Optic Disk Diagnostic Techniques, Ophthalmological ROC Curve Fundus Oculi Image Interpretation, Computer-Assisted Glaucoma Databases, Factual Humans Neural Networks, Computer
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A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease.

IEEE transactions on bio-medical engineering Feb 18, 2019
The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effecti...
Accelerometry Normal Distribution Movement Hypokinesia Signal Processing, Computer-Assisted Wrist Monitoring, Ambulatory Tremor Female Reproducibility of Results Aged Wearable Electronic Devices Parkinson Disease Male Middle Aged Humans Machine Learning
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Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation.

IEEE transactions on bio-medical engineering Feb 18, 2019
In this paper, we present a deep learning framework "Rehab-Net" for effectively classifying three upper limb movements of the human arm, involving extension, flexion, and rotation of the forearm, which, over the time, could provide a measure of rehab...
Female Aged Male Middle Aged Humans Algorithms Stroke Rehabilitation Deep Learning Cluster Analysis Movement Wearable Electronic Devices Arm Human Activities Support Vector Machine
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Medical image classification using synergic deep learning.

Medical image analysis Feb 18, 2019
The classification of medical images is an essential task in computer-aided diagnosis, medical image retrieval and mining. Although deep learning has shown proven advantages over traditional methods that rely on the handcrafted features, it remains c...
Data Mining Information Storage and Retrieval Radiology Information Systems Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Humans Diagnostic Imaging Neural Networks, Computer
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How the input shapes the acquisition of verb morphology: Elicited production and computational modelling in two highly inflected languages.

Cognitive psychology Feb 18, 2019
The aim of the present work was to develop a computational model of how children acquire inflectional morphology for marking person and number; one of the central challenges in language development. First, in order to establish which putative learnin...
Finland Linguistics Child Language Poland Humans Child, Preschool Child Neural Networks, Computer Female Male Computer Simulation Learning
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Exploration of the nanomedicine-design space with high-throughput screening and machine learning.

Nature biomedical engineering Feb 18, 2019
Only a tiny fraction of the nanomedicine-design space has been explored, owing to the structural complexity of nanomedicines and the lack of relevant high-throughput synthesis and analysis methods. Here, we report a methodology for determining struct...
Cell Line Structure-Activity Relationship Oligonucleotides Nanomedicine High-Throughput Screening Assays Alkaline Phosphatase Liposomes Humans Machine Learning Animals Nanoparticles Nucleic Acids
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ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm.

Journal of proteome research Feb 18, 2019
The major histocompatibility complex (MHC) is a term for all gene groups of a major histocompatibility antigen. It binds to peptide chains derived from pathogens and displays pathogens on the cell surface to facilitate T-cell recognition and perform ...
Humans Computational Biology Histocompatibility Antigens Class I Machine Learning Internet Histocompatibility Antigens Class II Software Algorithms
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