AIMC Topic: Pattern Recognition, Automated

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Multi-way backpropagation for training compact deep neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2020
Depth is one of the key factors behind the success of convolutional neural networks (CNNs). Since ResNet (He et al., 2016), we are able to train very deep CNNs as the gradient vanishing issue has been largely addressed by the introduction of skip con...
Databases, Factual Humans Pattern Recognition, Automated Neural Networks, Computer Data Compression
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Learning in the machine: To share or not to share?

Neural networks : the official journal of the International Neural Network Society Mar 25, 2020
Weight-sharing is one of the pillars behind Convolutional Neural Networks and their successes. However, in physical neural systems such as the brain, weight-sharing is implausible. This discrepancy raises the fundamental question of whether weight-sh...
Neurons Humans Pattern Recognition, Automated Neural Networks, Computer Machine Learning Brain
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Interpatient Similarities in Cardiac Function: A Platform for Personalized Cardiovascular Medicine.

JACC. Cardiovascular imaging Mar 18, 2020
OBJECTIVES: The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE)...
Pattern Recognition, Automated Registries Patient Readmission Ventricular Dysfunction, Left Prospective Studies Image Interpretation, Computer-Assisted Male Disease Progression Prognosis Ventricular Function, Left Unsupervised Machine Learning Retrospective Studies Echocardiography Humans Predictive Value of Tests Female Middle Aged Aged Aged, 80 and over Adult
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Advances in Quantitative Bioimage Analysis for Proteins and Cells.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Mar 18, 2020
Humans Artificial Intelligence Proteins Pattern Recognition, Automated
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Novel deep neural network based pattern field classification architectures.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2020
Field classification is a new extension of traditional classification frameworks that attempts to utilize consistent information from a group of samples (termed fields). By forgoing the independent identically distributed (i.i.d.) assumption, field c...
Humans Bayes Theorem Machine Learning Neural Networks, Computer Pattern Recognition, Automated Algorithms Biometric Identification Deep Learning Handwriting
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Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach.

Sensors (Basel, Switzerland) Mar 11, 2020
Ergonomics evaluation through measurements of biomechanical parameters in real time has a great potential in reducing non-fatal occupational injuries, such as work-related musculoskeletal disorders. Assuming a correct posture guarantees the avoidance...
Humans Machine Learning Posture Musculoskeletal Diseases Biomechanical Phenomena Pattern Recognition, Automated Algorithms Ergonomics Risk Assessment Occupational Diseases Young Adult Wearable Electronic Devices Lifting Adult Lower Extremity
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Recognition of Common Non-Normal Walking Actions Based on Relief-F Feature Selection and Relief-Bagging-SVM.

Sensors (Basel, Switzerland) Mar 6, 2020
Action recognition algorithms are widely used in the fields of medical health and pedestrian dead reckoning (PDR). The classification and recognition of non-normal walking actions and normal walking actions are very important for improving the accura...
Walking Acceleration Pattern Recognition, Automated Support Vector Machine Decision Trees Principal Component Analysis Signal Processing, Computer-Assisted Reproducibility of Results Time Factors ROC Curve Humans
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Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

Biomedical physics & engineering express Mar 4, 2020
OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring the progression of Parkinson's disease (PD). However, these measurements are often not as accurate or reliable as clinical evaluations because it is ch...
Machine Learning Female Reproducibility of Results Aged Humans Crowdsourcing Tremor Accelerometry Life Style Motor Skills Parkinson Disease Area Under Curve Postural Balance Remote Sensing Technology Walking Gait Pattern Recognition, Automated Diagnosis, Computer-Assisted Wearable Electronic Devices Smartphone Posture Male Middle Aged Disease Progression
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Clinical Tractor: A Framework for Automatic Natural Language Understanding of Clinical Practice Guidelines.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Computational representations of the semantic knowledge embedded within clinical practice guidelines (CPGs) may be a significant aid in creating computer interpretable guidelines (CIGs). Formalizing plain text CPGs into CIGs manually is a laborious a...
Pattern Recognition, Automated Natural Language Processing Comprehension Practice Guidelines as Topic Semantics
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Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.

Research synthesis methods Mar 3, 2020
BACKGROUND: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can...
Randomized Controlled Trials as Topic Bias Outcome Assessment, Health Care Observer Variation Sensitivity and Specificity Risk Assessment Health Policy Pattern Recognition, Automated Risk Humans Machine Learning Software Reproducibility of Results
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