AIMC Topic: Algorithms

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Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approach.

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
Automatic fall detection will promote independent living and reduce the consequences of falls in the elderly by ensuring people can confidently live safely at home for linger. In laboratory studies inertial sensor technology has been shown capable of...
Independent Living Humans Biomechanical Phenomena Databases, Factual Machine Learning Accidental Falls Aged Algorithms Lumbar Vertebrae Sensitivity and Specificity Posture Activities of Daily Living Monitoring, Ambulatory
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Improving quality and intelligibility of speech using single microphone for the broadband fMRI noise at low SNR.

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
Functional Magnetic Resonance Imaging (fMRI) is used in many diagnostic procedures for neurological related disorders. Strong broadband acoustic noise generated during fMRI scan interferes with the speech communication between the physician and the p...
Algorithms Magnetic Resonance Imaging Noise Humans Machine Learning Physician-Patient Relations Signal-To-Noise Ratio Speech Intelligibility
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Monitoring and detecting atrial fibrillation using wearable technology.

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
Atrial fibrillation (AFib) is diagnosed by analysis of the morphological and rhythmic properties of the electrocardiogram. It was recently shown that accurate detection of AFib is possible using beat-to-beat interval variations. This raises the quest...
Accelerometry Pulse Atrial Fibrillation Heart Rate Monitoring, Ambulatory Photoplethysmography Electrocardiography Signal Processing, Computer-Assisted Humans Retrospective Studies Algorithms Reproducibility of Results
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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-...
Humans Phenotype Databases, Factual Machine Learning Algorithms Cluster Analysis Diagnostic and Statistical Manual of Mental Disorders Autism Spectrum Disorder Prognosis Reproducibility of Results
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Multi-view non-negative tensor factorization as relation learning in healthcare data.

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
Discovering patterns in co-occurrences data between objects and groups of concepts is a useful task in many domains, such as healthcare data analysis, information retrieval, and recommender systems. These relational representations come from objects'...
Algorithms Databases, Factual Models, Theoretical Information Storage and Retrieval Humans Machine Learning
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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...
Algorithms Drug Resistance, Neoplasm Linear Models Female Humans Models, Theoretical Cell Line, Tumor Data Mining Computational Biology Breast Neoplasms
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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 Animals Models, Theoretical Aortic Valve Ultrasonics Heart Valve Prosthesis Prosthesis Design Algorithms Heart Valve Prosthesis Implantation Female Humans Aged
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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 Models, Theoretical Lower Extremity Gait Databases as Topic Male Middle Aged Exercise Orthotic Devices
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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...
ROC Curve Fundus Oculi Algorithms Image Interpretation, Computer-Assisted Female Databases as Topic Humans Reproducibility of Results Cloud Computing Diabetic Retinopathy
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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...
Computational Biology Decision Trees Statistics as Topic Biomarkers, Tumor Neoplasms Gene Expression Profiling Humans Algorithms Oligonucleotide Array Sequence Analysis
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