AIMC Topic: Young Adult

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A Supervised Approach to Robust Photoplethysmography Quality Assessment.

IEEE journal of biomedical and health informatics Apr 3, 2019
Early detection of Atrial Fibrillation (AFib) is crucial to prevent stroke recurrence. New tools for monitoring cardiac rhythm are important for risk stratification and stroke prevention. As many of new approaches to long-term AFib detection are now ...
Stroke Supervised Machine Learning Atrial Fibrillation Oximetry Middle Aged Wearable Electronic Devices Photoplethysmography Support Vector Machine Signal Processing, Computer-Assisted Humans Algorithms Aged Aged, 80 and over Young Adult Adult
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Utilization of Minimally Invasive Thymectomy and Margin-Negative Resection for Early-Stage Thymoma.

The Annals of thoracic surgery Apr 3, 2019
BACKGROUND: Minimally invasive thymectomy (MIT) has demonstrated improved short-term outcomes compared with open thymectomy (OT). Although adoption of MIT for thymoma is increasing, oncologic outcomes have not been well characterized.
Humans Neoplasm Staging Male Margins of Excision Retrospective Studies Middle Aged Aged Thymectomy Female Adolescent Aged, 80 and over Thymoma United States Young Adult Thymus Neoplasms Follow-Up Studies Adult Robotics Survival Rate
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Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments.

Acta orthopaedica Apr 3, 2019
Background and purpose - Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identify...
Female Aged Aged, 80 and over Young Adult Adult Humans Neural Networks, Computer Artificial Intelligence Algorithms Radiography Radiographic Image Interpretation, Computer-Assisted Radius Fractures Wrist Injuries Sensitivity and Specificity Male Middle Aged Deep Learning ROC Curve
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Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach.

NeuroImage. Clinical Apr 3, 2019
BACKGROUND: It is becoming increasingly clear that pathophysiological processes underlying psychiatric disorders categories are heterogeneous on many levels, including symptoms, disease course, comorbidity and biological underpinnings. This heterogen...
Emotions Humans Adult Male Brain Mapping Machine Learning Facial Expression Anxiety Brain Facial Recognition Adolescent Female Magnetic Resonance Imaging Young Adult
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Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients.

PloS one Apr 2, 2019
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupe...
Headache Neuropsychological Tests Sports Diagnosis, Computer-Assisted Brain Concussion Vestibular Diseases Humans Artificial Intelligence Adolescent Post-Concussion Syndrome Dizziness Retrospective Studies Cluster Analysis Vestibule, Labyrinth Female Vision Disorders Young Adult Postural Balance Adult Male
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Does watching Han Solo or C-3PO similarly influence our language processing?

Psychological research Apr 1, 2019
Several studies have demonstrated that perceiving an action influences the subsequent processing of action verbs. However, which characteristics of the perceived action are truly determinant to enable this influence is still unknown. The current stud...
Male Humans Language Robotics Semantics Female Photic Stimulation Young Adult Visual Perception Motion Pictures
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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

European radiology Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Humans Neural Networks, Computer Deep Learning ROC Curve Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Hip Fractures False Negative Reactions Radiography, Abdominal Young Adult Adult Sensitivity and Specificity Algorithms Male Prognosis Middle Aged Female Aged Aged, 80 and over
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DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal.

Journal of neuroscience methods Apr 1, 2019
BACKGROUND: Electroencephalography (EEG) monitors brain activity during sleep and is used to identify sleep disorders. In sleep medicine, clinicians interpret raw EEG signals in so-called sleep stages, which are assigned by experts to every 30s windo...
Sleep Stages Brain Female Young Adult Adult Male Deep Learning Electroencephalography Signal Processing, Computer-Assisted Sleep Polysomnography Arousal Humans
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Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

Scientific reports Apr 1, 2019
The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item similarities of machine learning has never been applied to the relationship between diseases. The study aim was to identify diseases associated with endomet...
Adolescent Logistic Models Diagnosis, Differential Endometriosis Fibrocystic Breast Disease Cystitis Humans Young Adult Machine Learning Goiter Adult Female Sensitivity and Specificity Reproducibility of Results Cross-Sectional Studies Middle Aged
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Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Acute Disease Air Pollutants Infant, Newborn Adolescent Particulate Matter Risk Factors Male Incidence Sex Factors Environmental Exposure Aged Middle Aged Humans Weather Beijing Child, Preschool Aged, 80 and over Infant Female Child Young Adult Respiratory Tract Diseases Deep Learning Age Factors Adult China
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