AIMC Journal:
Mathematical biosciences and engineering : MBE

Showing 261 to 270 of 288 articles

Pre-trained language model augmented adversarial training network for Chinese clinical event detection.

Mathematical biosciences and engineering : MBE Mar 24, 2020
Clinical event detection (CED) is a hot topic and essential task in medical artificial intelligence, which has attracted the attention from academia and industry over the recent years. However, most studies focus on English clinical narratives. Owing...
Language China Neural Networks, Computer Artificial Intelligence Electronic Health Records
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Towards Machine Learning in Molecular Biology.

Mathematical biosciences and engineering : MBE Mar 19, 2020
Machine Learning Computational Biology Molecular Biology
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A novel compliant surgical robot: Preliminary design analysis.

Mathematical biosciences and engineering : MBE Dec 19, 2019
A robotic surgical system capable of performing minimally invasive surgery (MIS) is proposed in this paper. Based on the requirements of MIS, a compliant, seven- degrees of freedom (7-DOF) pneumatically actuated mechanism is designed. A remote center...
Rotation Motion Biomedical Engineering Laparoscopes Robotics Minimally Invasive Surgical Procedures Equipment Design Robotic Surgical Procedures Humans Algorithms Computer Simulation Compliance Biomechanical Phenomena
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Fuzzy Gaussian Lasso clustering with application to cancer data.

Mathematical biosciences and engineering : MBE Sep 30, 2019
Recently, Yang et al. (2019) proposed a fuzzy model-based Gaussian (F-MB-Gauss) clustering that combines a model-based Gaussian with fuzzy membership functions for clustering. In this paper, we further consider the F-MB-Gauss clustering with the leas...
Neoplasms Cluster Analysis Models, Statistical Blood Glucose Signal Processing, Computer-Assisted Image Processing, Computer-Assisted Colonic Neoplasms Fuzzy Logic Glucose Tolerance Test Algorithms Pattern Recognition, Automated Humans Female Normal Distribution Breast Neoplasms Leukemia Male
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DL-CNV: A deep learning method for identifying copy number variations based on next generation target sequencing.

Mathematical biosciences and engineering : MBE Sep 30, 2019
Copy number variations (CNVs) play an important role in many types of cancer. With the rapid development of next generation sequencing (NGS) techniques, many methods for detecting CNVs of a single sample have emerged: (i) require genome-wide data of ...
Sensitivity and Specificity Deep Learning Genome-Wide Association Study ROC Curve Humans Algorithms Databases, Factual Reproducibility of Results High-Throughput Nucleotide Sequencing In Situ Hybridization, Fluorescence Receptor, ErbB-2 Genome, Human False Positive Reactions Lung Neoplasms Carcinoma, Non-Small-Cell Lung DNA Copy Number Variations Area Under Curve Exons Proto-Oncogene Proteins c-met
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Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.

Mathematical biosciences and engineering : MBE Sep 26, 2019
Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distribution Network (WDN) has become one of the most important public facilities that are prone to be attacked because of its wide coverage and constant ope...
Water Pollution Deep Learning Algorithms Environmental Monitoring Risk Assessment Markov Chains Water Pollutants, Chemical Diffusion Water Quality Water Supply
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Fast honey classification using infrared spectrum and machine learning.

Mathematical biosciences and engineering : MBE Jul 29, 2019
Honey has been one previous natural food in human history. However, as the supply cannot satisfy the market demand, many incidents of adulterated and fraudulent honey have been reported. In Taiwan, some common adulterated honey and fraudulent honey i...
Food Analysis Models, Statistical Taiwan Principal Component Analysis Scattering, Radiation Honey Machine Learning Spectrophotometry, Infrared Bees Animals Food Industry Support Vector Machine Fructose Food Contamination
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Skeletal bone age assessments for young children based on regression convolutional neural networks.

Mathematical biosciences and engineering : MBE Jul 12, 2019
Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations pertaining to genetic disorders, hormonal complications and abnormalities in the skeletal system maturity of children. Conventional methods dating back...
Child, Preschool Child Image Processing, Computer-Assisted Regression Analysis Data Interpretation, Statistical Observer Variation Pattern Recognition, Automated Humans X-Rays Neural Networks, Computer Male Algorithms Infant China Age Determination by Skeleton Adolescent Female Carpal Bones Infant, Newborn Reproducibility of Results Young Adult
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DeepMRMP: A new predictor for multiple types of RNA modification sites using deep learning.

Mathematical biosciences and engineering : MBE Jul 4, 2019
RNA modification plays an indispensable role in the regulation of organisms. RNA modification site prediction offers an insight into diverse cellular processing. Regarding different types of RNA modification site prediction, it is difficult to tell t...
Computational Biology RNA Saccharomyces cerevisiae Species Specificity RNA Processing, Post-Transcriptional Pseudouridine Algorithms Adenosine Animals 5-Methylcytosine Humans Deep Learning Machine Learning Mice
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Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach.

Mathematical biosciences and engineering : MBE Jun 19, 2019
Obstructive sleep apnea (OSA) is a common sleep-related respiratory disease that affects people's health, especially in the elderly. In the traditional PSG-based OSA detection, people's sleep may be disturbed, meanwhile the electrode slices are easil...
Signal Processing, Computer-Assisted Sleep Apnea, Obstructive Humans Sleep Sensitivity and Specificity Heart Rate False Positive Reactions Machine Learning Diagnosis, Computer-Assisted Nonlinear Dynamics Risk Algorithms Electrocardiography Ballistocardiography Reproducibility of Results Decision Trees
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