Humans

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Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk.

Sensors (Basel, Switzerland) Sep 24, 2018
With the recent advancement in wearable computing, sensor technologies, and data processing approaches, it is possible to develop smart clothing that integrates sensors into garments. The main objective of this study was to develop the method of auto...
Cardiovascular Diseases Risk Assessment Wearable Electronic Devices Female Adult Male Telemedicine Activities of Daily Living Sedentary Behavior Humans Machine Learning
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Machine Learning for detection of viral sequences in human metagenomic datasets.

BMC bioinformatics Sep 24, 2018
BACKGROUND: Detection of highly divergent or yet unknown viruses from metagenomics sequencing datasets is a major bioinformatics challenge. When human samples are sequenced, a large proportion of assembled contigs are classified as "unknown", as conv...
Humans Neural Networks, Computer Machine Learning Databases, Genetic Sequence Analysis, DNA Base Sequence Metagenomics Algorithms Viruses ROC Curve Computational Biology
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ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network.

Physiological measurement Sep 24, 2018
OBJECTIVE: The electrocardiogram (ECG) provides an effective, non-invasive approach for clinical diagnosis in patients with cardiac diseases such as atrial fibrillation (AF). AF is the most common cardiac rhythm disturbance and affects ~2% of the gen...
Electrocardiography Humans Arrhythmias, Cardiac Pattern Recognition, Automated Neural Networks, Computer Sensitivity and Specificity Diagnosis, Computer-Assisted
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Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator Asynchrony.

Methods of information in medicine Sep 24, 2018
BACKGROUND: As healthcare increasingly digitizes, streaming waveform data is being made available from an variety of sources, but there still remains a paucity of performant clinical decision support systems. For example, in the intensive care unit (...
Decision Support Systems, Clinical Models, Theoretical Respiration Algorithms Humans Respiration, Artificial Machine Learning Time Factors
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Is Multiclass Automatic Text De-Identification Worth the Effort?

Methods of information in medicine Sep 24, 2018
OBJECTIVES: Automatic de-identification to remove protected health information (PHI) from clinical text can use a "binary" model that replaces redacted text with a generic tag (e.g., ""), or can use a "multiclass" model that retains more class i...
Data Anonymization Humans False Positive Reactions Algorithms Electronic Health Records
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Learning to Detect Cognitive Impairment through Digital Games and Machine Learning Techniques.

Methods of information in medicine Sep 24, 2018
OBJECTIVE: Alzheimer's disease (AD) is one of the most prevalent diseases among the adult population. The early detection of Mild Cognitive Impairment (MCI), which may trigger AD, is essential to slow down the cognitive decline process.
Cognitive Dysfunction Humans Video Games Aged Machine Learning Male Algorithms Surveys and Questionnaires Female
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Registration-Based Organ Positioning and Joint Segmentation Method for Liver and Tumor Segmentation.

BioMed research international Sep 24, 2018
The automated segmentation of liver and tumor from CT images is of great importance in medical diagnoses and clinical treatment. However, accurate and automatic segmentation of liver and tumor is generally complicated due to the complex anatomical st...
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Liver Neoplasms Humans Machine Learning Fuzzy Logic Liver Databases, Factual Tomography, X-Ray Computed
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The stability of memristive multidirectional associative memory neural networks with time-varying delays in the leakage terms via sampled-data control.

PloS one Sep 24, 2018
In this paper, we propose a new model of memristive multidirectional associative memory neural networks, which concludes the time-varying delays in leakage terms via sampled-data control. We use the input delay method to turn the sampling system into...
Nerve Net Memory Models, Psychological Mathematical Concepts Systems Theory Association Humans Computer Simulation Neural Networks, Computer Time Factors Models, Neurological Brain
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The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb.

Journal of visualized experiments : JoVE Sep 23, 2018
Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability and can lead to severe incapacity and restriction of daily activities due to lower and upper limb impairments. Intensive physical and occupational thera...
Combined Modality Therapy Upper Extremity Stroke Rehabilitation Transcranial Direct Current Stimulation Recovery of Function Robotics Stroke Humans Neuronal Plasticity
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Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches.

Journal of healthcare engineering Sep 23, 2018
The thyroid is one of the largest endocrine glands in the human body, which is involved in several body mechanisms like controlling protein synthesis and the body's sensitivity to other hormones and use of energy sources. Hence, it is of prime import...
Thyroid Neoplasms Ultrasonography Imaging, Three-Dimensional Reproducibility of Results Humans Software Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Decision Trees Thyroid Gland Machine Learning Automation
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