AIMC Topic: Humans

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Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform.

International journal of molecular sciences Feb 21, 2019
It is significant for biological cells to predict self-interacting proteins (SIPs) in the field of bioinformatics. SIPs mean that two or more identical proteins can interact with each other by one gene expression. This plays a major role in the evolu...
Sequence Analysis, Protein Humans Binding Sites Fourier Analysis Saccharomyces cerevisiae Proteins Animals Protein Binding Support Vector Machine
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Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation.

IEEE transactions on pattern analysis and machine intelligence Feb 20, 2019
Recently, the research field of salient object detection is undergoing a rapid and remarkable development along with the wide usage of deep neural networks. Being trained with a large number of images annotated with strong pixel-level ground-truth ma...
Image Processing, Computer-Assisted Supervised Machine Learning Video Recording Algorithms Animals Deep Learning Humans
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Investigating the Need for Point-of-Care Robots to Support Teleconsultation.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Feb 20, 2019
     
Humans Point-of-Care Systems Surveys and Questionnaires Attitude of Health Personnel Female Adult Male Remote Consultation Decision Making Focus Groups Robotics Needs Assessment
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Streamlining Quality Review of Mass Spectrometry Data in the Clinical Laboratory by Use of Machine Learning.

Archives of pathology & laboratory medicine Feb 20, 2019
CONTEXT.—: Turnaround time and productivity of clinical mass spectrometric (MS) testing are hampered by time-consuming manual review of the analytical quality of MS data before release of patient results.
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Humans Dronabinol Machine Learning Reference Standards Clinical Laboratory Techniques Mass Spectrometry Algorithms Gas Chromatography-Mass Spectrometry Automation, Laboratory Retrospective Studies Reproducibility of Results
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Robust water-fat separation for multi-echo gradient-recalled echo sequence using convolutional neural network.

Magnetic resonance in medicine Feb 20, 2019
PURPOSE: To accurately separate water and fat signals for bipolar multi-echo gradient-recalled echo sequence using a convolutional neural network (CNN).
Ankle Knee Body Water Head Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Adipose Tissue Humans
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A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.

International journal of medical informatics Feb 20, 2019
OBJECTIVE: In this systematic review, we aim to synthesize the literature on the use of natural language processing (NLP) and text mining as they apply to symptom extraction and processing in electronic patient-authored text (ePAT).
Patient Participation United States Humans National Institutes of Health (U.S.) Natural Language Processing Electronic Health Records Data Mining
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Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis.

Journal of biomedical informatics Feb 20, 2019
Microarray technique is a prevalent method for the classification and prediction of colorectal cancer (CRC). Nevertheless, microarray data suffers from the curse of dimensionality when selecting feature genes of the disease based on imbalance samples...
Transcriptome Humans Colorectal Neoplasms Support Vector Machine Software Gene Expression Profiling Algorithms
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Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research.

Psychiatric services (Washington, D.C.) Feb 20, 2019
An unprecedented amount of clinical information is now available via electronic health records (EHRs). These massive data sets have stimulated opportunities to adapt computational approaches to track and identify target areas for quality improvement ...
Mental Health Services Humans Natural Language Processing Machine Learning Health Services Research Electronic Health Records
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Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation.

Sensors (Basel, Switzerland) Feb 20, 2019
In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exercise recognition using sensor data. It consists of two novel components: a dynamic convolutional neural network (D-CNN) and a state transition probabi...
Humans Algorithms Movement Deep Learning Exercise Therapy Pattern Recognition, Automated
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Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data.

Sensors (Basel, Switzerland) Feb 20, 2019
The physiological monitoring of older people using wearable sensors has shown great potential in improving their quality of life and preventing undesired events related to their health status. Nevertheless, creating robust predictive models from data...
Wearable Electronic Devices Monitoring, Physiologic Quality of Life Exercise Machine Learning Algorithms Aged Female Humans Aged, 80 and over Neural Networks, Computer Male
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