AIMC Topic: Algorithms

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Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 10, 2019
Wearable sensors have been proposed as alternatives to traditional laboratory equipment for low-cost and portable real-time gait analysis in unconstrained environments. However, the moderate accuracy of these systems currently limits their widespread...
Orthotic Devices Running Healthy Volunteers Foot Support Vector Machine Walking Gait Machine Learning Algorithms Reproducibility of Results Biomechanical Phenomena Male Young Adult Adult Humans
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A Multi-Criteria Decision-Making Model for Evaluating Senior Daycare Center Locations.

International journal of environmental research and public health Dec 10, 2019
Many developed and developing countries are facing an imminent population aging and rapid demographics changing problem. The need of various kinds of eldercare is increasing tremendously. A senior daycare center, very similar to a daycare center for ...
Humans Algorithms Decision Support Techniques Prospective Studies Decision Making Child Day Care Centers Aged Child, Preschool Fuzzy Logic
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Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

BMC medical informatics and decision making Dec 10, 2019
BACKGROUND: With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and interv...
Incidence Logistic Models Mass Screening Adult Risk Assessment China Decision Trees Stroke Humans Neural Networks, Computer Machine Learning Algorithms Decision Support Techniques
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Predictive Value of Tests Bayes Theorem ROC Curve Logistic Models Sensitivity and Specificity Electronic Health Records Humans Aged Support Vector Machine Female Male Pulmonary Disease, Chronic Obstructive Machine Learning Middle Aged Algorithms
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Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review.

Psychiatry research Dec 9, 2019
Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of pathological cognitive decline facilitates the greatest impact of restorative or preventative treatments. Artificial Intelligence (AI) in healthcare is th...
Genomics Humans Natural Language Processing Aged Machine Learning Artificial Intelligence Data Interpretation, Statistical Aged, 80 and over Algorithms Cognitive Dysfunction Electronic Health Records
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Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.

Nature methods Dec 9, 2019
Predicting interactions between proteins and other biomolecules solely based on structure remains a challenge in biology. A high-level representation of protein structure, the molecular surface, displays patterns of chemical and geometric features th...
Deep Learning Computational Biology Proteins Surface Properties Algorithms Protein Conformation
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Evaluation of complexity and deliverability of prostate cancer treatment plans designed with a knowledge-based VMAT planning technique.

Journal of applied clinical medical physics Dec 9, 2019
PURPOSE: Knowledge-based planning (KBP) techniques have been reported to improve plan quality, efficiency, and consistency in radiation therapy. However, plan complexity and deliverability have not been addressed previously for treatment plans guided...
Organs at Risk Male Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms Radiotherapy Dosage Humans Knowledge Bases Radiotherapy, Intensity-Modulated Algorithms Phantoms, Imaging
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Comprehensive Exploration of Target-specific Ligands Using a Graph Convolution Neural Network.

Molecular informatics Dec 9, 2019
Machine learning approaches are widely used to evaluate ligand activities of chemical compounds toward potential target proteins. Especially, exploration of highly selective ligands is important for the development of new drugs with higher safety. On...
Aspartic Acid Endopeptidases Cathepsin D Algorithms Ligands Amyloid Precursor Protein Secretases Humans Neural Networks, Computer
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Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications.

PloS one Dec 9, 2019
AIM: Fuzzy wavelet neural network (FWNN) has proven to be a promising strategy in the identification of nonlinear systems. The network considers both global and local properties, deals with imprecision present in sensory data, leading to desired prec...
Linear Models Computer Simulation Fuzzy Logic Neural Networks, Computer Nonlinear Dynamics Artificial Intelligence Algorithms
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Diagnostic and Gradation Model of Osteoporosis Based on Improved Deep U-Net Network.

Journal of medical systems Dec 7, 2019
The measurement of bone mineral density for osteoporosis has always been the focus of researchers because it plays an important role in bone disease diagnosis. However, because of X-ray image noise and the large difference between the bone shapes of ...
Humans Osteoporosis Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Radiography Algorithms Bone Density
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