AIMC Topic: Machine Learning

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Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.

Journal of clinical monitoring and computing Oct 5, 2015
Huge hospital information system databases can be mined for knowledge discovery and decision support, but artifact in stored non-invasive vital sign (VS) high-frequency data streams limits its use. We used machine-learning (ML) algorithms trained on ...
Risk Vital Signs Hospital Information Systems Male Female Data Mining Middle Aged Heart Rate Decision Support Systems, Clinical Aged Artifacts Adult Humans Oscillometry Monitoring, Physiologic Area Under Curve Machine Learning Clinical Alarms Blood Pressure Data Interpretation, Statistical Algorithms
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Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Oct 5, 2015
Person re-identification in a non-overlapping multi-camera scenario is an open and interesting challenge. While the task can hardly be completed by machines, we, as humans, are inherently able to sample those relevant persons' details that allow us t...
Machine Learning Biometric Identification Algorithms Image Processing, Computer-Assisted Humans
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Using Wearable Sensors and Machine Learning Models to Separate Functional Upper Extremity Use From Walking-Associated Arm Movements.

Archives of physical medicine and rehabilitation Oct 3, 2015
OBJECTIVE: To improve measurement of upper extremity (UE) use in the community by evaluating the feasibility of using body-worn sensor data and machine learning models to distinguish productive prehensile and bimanual UE activity use from extraneous ...
Feasibility Studies Movement Upper Extremity Models, Statistical Walking Artificial Limbs Humans Machine Learning Transducers Middle Aged Young Adult Case-Control Studies Adult
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Information extraction from multi-institutional radiology reports.

Artificial intelligence in medicine Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Models, Theoretical Predictive Value of Tests Natural Language Processing Electronic Health Records Reproducibility of Results United States Observer Variation Information Storage and Retrieval Semantics Pattern Recognition, Automated Discriminant Analysis Radiographic Image Interpretation, Computer-Assisted Data Mining Machine Learning Databases, Factual Humans Radiology Information Systems Medical Record Linkage
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Illuminating the dark matter in metabolomics.

Proceedings of the National Academy of Sciences of the United States of America Oct 1, 2015
Animals Mass Spectrometry Metabolomics Databases, Protein Humans Machine Learning
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METSP: a maximum-entropy classifier based text mining tool for transporter-substrate identification with semistructured text.

BioMed research international Oct 1, 2015
The substrates of a transporter are not only useful for inferring function of the transporter, but also important to discover compound-compound interaction and to reconstruct metabolic pathway. Though plenty of data has been accumulated with the deve...
Vocabulary, Controlled Software Data Mining Algorithms Pattern Recognition, Automated Entropy Machine Learning Natural Language Processing Membrane Transport Proteins Metabolic Networks and Pathways
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Application of real-time machine learning to myoelectric prosthesis control: A case series in adaptive switching.

Prosthetics and orthotics international Sep 30, 2015
BACKGROUND: Myoelectric prostheses currently used by amputees can be difficult to control. Machine learning, and in particular learned predictions about user intent, could help to reduce the time and cognitive load required by amputees while operatin...
Prosthesis Design Arm Task Performance and Analysis Amputation, Surgical Robotics Electromyography Artificial Limbs Humans Machine Learning
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Telemedicine as a special case of machine translation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 30, 2015
Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine translation systems available in the web, which provide reasonable translations. However, these systems are not perfect, and their quality may decrea...
Algorithms Electronic Health Records Poland Pattern Recognition, Automated Vocabulary, Controlled Natural Language Processing Telemedicine Machine Learning Translating
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Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification.

Journal of biomedical informatics Sep 30, 2015
Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities related to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem. An essential aspect in PV is to ...
Pharmacovigilance Drug Interactions Data Mining Machine Learning
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Prediction of recombinant protein overexpression in Escherichia coli using a machine learning based model (RPOLP).

Computers in biology and medicine Sep 30, 2015
Recombinant protein overexpression, an important biotechnological process, is ruled by complex biological rules which are mostly unknown, is in need of an intelligent algorithm so as to avoid resource-intensive lab-based trial and error experiments i...
Recombinant Proteins Gene Expression Regulation, Bacterial Escherichia coli Algorithms Artificial Intelligence Databases, Protein Reproducibility of Results Machine Learning Gene Expression Profiling
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