AIMC Topic:
Cluster Analysis

Clear Filters Showing 1271 to 1280 of 1337 articles

Clustering Continuous Wavelet Transform Characteristics of Heart Rate Variability through Unsupervised Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The analysis and interpretation of physiological signals acquired non-invasively are increasingly important in Smart Health, precision medicine, and medical research. However, this analysis is hampered due to the length, complexity, and inter-subject...
Wavelet Analysis Cluster Analysis Unsupervised Machine Learning Heart Rate Humans Electrocardiography
View on PubMed DOI

Comparison of Extreme Learning Machine and K-Nearest Neighbour Performance in Classifying EEG Signal of Normal, Poor and Capable Dyslexic Children.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Dyslexia is a specific learning difficulty associated with brain capability in processing numbers and letters. Analysis of Electroencephalogram (EEG) could provide insight information on differences in brain processing. In this work, two machine lear...
Child Cluster Analysis Electroencephalography Dyslexia Humans Machine Learning Writing
View on PubMed DOI

Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this paper, we propose a clustering method with temporal ordering information for endoscopic image sequences. It is difficult to collect a sufficient amount of endoscopic image datasets to train machine learning techniques by manual labeling. The ...
Endoscopy, Digestive System Endoscopy Image Processing, Computer-Assisted Cluster Analysis Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation Regularization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Miniaturized and wearable sensor-based measurements offer unprecedented opportunities to study and assess human behavior in natural settings with wide ranging applications including in healthcare, wellness tracking and entertainment. However, wearabl...
Humans Neural Networks, Computer Machine Learning Data Accuracy Respiration Movement Wearable Electronic Devices Cluster Analysis Heart Rate
View on PubMed DOI

Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value.

Spine Jul 1, 2019
STUDY DESIGN: Retrospective review of prospectively-collected, multicenter adult spinal deformity (ASD) databases.
Humans Quality Improvement Spinal Diseases Retrospective Studies Adult Female Artificial Intelligence Male Aged Databases, Factual Cluster Analysis Middle Aged Young Adult Prospective Studies Predictive Value of Tests Neurosurgical Procedures Osteotomy
View on PubMed DOI

Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.

Neuroinformatics Jul 1, 2019
Amyotrophic lateral sclerosis (ALS) is a complex progressive neurodegenerative disorder with an estimated prevalence of about 5 per 100,000 people in the United States. In this study, the ALS disease progression is measured by the change of Amyotroph...
Cluster Analysis Machine Learning Humans Female Bayes Theorem Male Reproducibility of Results Amyotrophic Lateral Sclerosis Middle Aged Adult Linear Models Disease Progression
View on PubMed DOI

Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.

Journal of bioinformatics and computational biology Jun 1, 2019
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the proces...
Protein Interaction Maps Lung Neoplasms Support Vector Machine Machine Learning Cluster Analysis Algorithms Random Allocation Humans Reproducibility of Results Neural Networks, Computer Transcriptome
View on PubMed DOI

SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles.

Nucleic acids research May 7, 2019
Characterization of individual cell types is fundamental to the study of multicellular samples. Single-cell RNAseq techniques, which allow high-throughput expression profiling of individual cells, have significantly advanced our ability of this task....
Gene Expression Regulation, Neoplastic Cluster Analysis Pancreatic Neoplasms Supervised Machine Learning High-Throughput Nucleotide Sequencing Datasets as Topic Cell Lineage Transcriptome Single-Cell Analysis Mice Sequence Analysis, RNA Software Animals Gene Expression Profiling RNA, Small Cytoplasmic Humans
View on PubMed DOI

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia.

JCO clinical cancer informatics May 1, 2019
PURPOSE: Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly heterogeneous presentations and prognoses, as in chronic lymphocytic lymphoma (CLL). Although machine learning methods can ...
Adult Leukemia, Lymphocytic, Chronic, B-Cell Male Middle Aged Humans Reproducibility of Results Cluster Analysis Models, Theoretical Risk Factors Machine Learning Time-to-Treatment Treatment Outcome Aged Prognosis Kaplan-Meier Estimate Follow-Up Studies Female
View on PubMed DOI

Angle aided circle detection based on randomized Hough transform and its application in welding spots detection.

Mathematical biosciences and engineering : MBE Feb 19, 2019
The Hough transform has been widely used in image analysis and digital image processing due to its capability of transforming image space detection to parameter space accumulation. In this paper, we propose a novel Angle-Aided Circle Detection (AACD)...
Automation Machine Learning Pattern Recognition, Automated Image Processing, Computer-Assisted Welding Cluster Analysis Software Automobiles Algorithms Equipment Design
View on PubMed DOI
Popular Topics
Recent Journals