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Showing 1531 to 1540 of 1686 articles

Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability in behavioral phenotype as well as clinical, physiologic, and pathologic parameters. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-...
Prognosis Diagnostic and Statistical Manual of Mental Disorders Humans Phenotype Machine Learning Databases, Factual Reproducibility of Results Algorithms Autism Spectrum Disorder Cluster Analysis
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Learning approaches to improve prediction of drug sensitivity in breast cancer patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond d...
Computational Biology Models, Theoretical Data Mining Female Breast Neoplasms Cell Line, Tumor Humans Drug Resistance, Neoplasm Algorithms Linear Models
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Prediction of individual prosthesis size for valve-sparing aortic root reconstruction based on geometric features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Valve-sparing aortic root reconstruction is an up- and-coming approach for patients suffering from aortic valve insufficiencies which promises to significantly reduce complications. However, the success of the treatment strongly depends on the challe...
Aorta Sus scrofa Blood Vessel Prosthesis Heart Valve Prosthesis Implantation Ultrasonics Heart Valve Prosthesis Models, Theoretical Aortic Valve Prosthesis Design Algorithms Female Aged Humans Animals
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Activity recognition in patients with lower limb impairments: do we need training data from each patient?

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Machine learning allows detecting specific physical activities using data from wearable sensors. Such a quantification of patient mobility over time promises to accurately inform clinical decisions for physical rehabilitation. There are two strategie...
Humans Algorithms Female Databases as Topic Orthotic Devices Models, Theoretical Lower Extremity Gait Male Middle Aged Exercise
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Classification of large-scale fundus image data sets: a cloud-computing framework.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Large medical image data sets with high dimensionality require substantial amount of computation time for data creation and data processing. This paper presents a novel generalized method that finds optimal image-based feature sets that reduce comput...
Databases as Topic Cloud Computing ROC Curve Fundus Oculi Image Interpretation, Computer-Assisted Humans Female Reproducibility of Results Diabetic Retinopathy Algorithms
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An asynchronous multi-view learning approach for activity recognition using wearables.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In this paper, we introduce an Asynchronous Multiview Learning (AML) approach to allow accurate transfer of activity classification models across asynchronous sensor views. Our study is motivated by the highly dynamic nature of health monitoring usin...
Monitoring, Ambulatory Machine Learning
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Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene sel...
Oligonucleotide Array Sequence Analysis Computational Biology Decision Trees Statistics as Topic Humans Algorithms Biomarkers, Tumor Neoplasms Gene Expression Profiling
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Deep neural network architectures for forecasting analgesic response.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Response to prescribed analgesic drugs varies between individuals, and choosing the right drug/dose often involves a lengthy, iterative process of trial and error. Furthermore, a significant portion of patients experience adverse events such as post-...
Humans Neural Networks, Computer Pain Measurement Pain, Postoperative Analgesics Administration, Oral Machine Learning Postoperative Complications Support Vector Machine Analgesia Urinary Retention Oxycodone
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Non-invasive optical imaging techniques for burn-injured tissue detection for debridement surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Burn debridement is a challenging technique that requires significant skill to identify regions requiring excision and appropriate excision depth. A machine learning tool is being developed in order to assist surgeons by providing a quantitative asse...
Skin Burns Surgery, Computer-Assisted Animals Debridement Swine Dermatologic Surgical Procedures Disease Models, Animal Optical Imaging
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Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by multilayer perceptron neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Natural gait consists of synchronous and rhythmic patterns for both the lower and upper limb. People with hemiplegia can experience reduced arm swing, which can negatively impact the quality of gait. Wearable and wireless sensors, such as through a s...
Reproducibility of Results Smartphone Mobile Applications Humans Neural Networks, Computer Machine Learning Arm Monitoring, Ambulatory Hemiplegia Equipment Design Paresis Internet Gait
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