Humans

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Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy.

Breast cancer research and treatment Jun 6, 2018
BACKGROUND: Prevention of persistent pain following breast cancer surgery, via early identification of patients at high risk, is a clinical need. Supervised machine-learning was used to identify parameters that predict persistence of significant pain...
Humans Machine Learning Prognosis Middle Aged Time Factors Follow-Up Studies Pain, Postoperative Mastectomy Supervised Machine Learning Aged Adult Breast Neoplasms Female Reproducibility of Results Risk Factors
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Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment.

Computers in biology and medicine Jun 6, 2018
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decrease the rates of neonatal mortality and morbidity as well as unnecessary interventions. The analysis of CTG traces has become an indispensable part o...
Image Processing, Computer-Assisted Support Vector Machine Cardiotocography Heart Rate, Fetal Fetal Hypoxia Pregnancy Female Adult Humans Prognosis
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DeepText2GO: Improving large-scale protein function prediction with deep semantic text representation.

Methods (San Diego, Calif.) Jun 6, 2018
As of April 2018, UniProtKB has collected more than 115 million protein sequences. Less than 0.15% of these proteins, however, have been associated with experimental GO annotations. As such, the use of automatic protein function prediction (AFP) to r...
Proteins Data Mining Semantics Machine Learning Animals Computational Biology Gene Ontology Eukaryota Sequence Analysis, Protein Humans
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Human-computer symbiosis: enhancing dermatologic care while preserving the art of healing.

International journal of dermatology Jun 6, 2018
(1)
Physician-Patient Relations Dermatology Humans Artificial Intelligence Attitude of Health Personnel
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A study on plant root apex morphology as a model for soft robots moving in soil.

PloS one Jun 6, 2018
Plants use many strategies to move efficiently in soil, such as growth from the tip, tropic movements, and morphological changes. In this paper, we propose a method to translate morphological features of Zea mays roots into a new design of soft robot...
(1)
Movement Robotics Humans Plant Roots Soil Zea mays Environmental Monitoring
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HLPI-Ensemble: Prediction of human lncRNA-protein interactions based on ensemble strategy.

RNA biology Jun 6, 2018
LncRNA plays an important role in many biological and disease progression by binding to related proteins. However, the experimental methods for studying lncRNA-protein interactions are time-consuming and expensive. Although there are a few models des...
Models, Biological Databases, Nucleic Acid Humans Sequence Analysis, RNA RNA-Binding Proteins Support Vector Machine RNA, Long Noncoding
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Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.

IEEE journal of biomedical and health informatics Jun 5, 2018
The role of sensing technologies, such as wearables, in delivering precision care is becoming widely acceptable. Given the very large quantities of sensor data that rapidly accumulate, there is a need to employ automated algorithms to label biosignal...
Bayes Theorem Medical Informatics Algorithms Databases, Factual Precision Medicine Child Models, Statistical Humans Unsupervised Machine Learning Infant Adult Female Adolescent Male Aged Child, Preschool Middle Aged Young Adult
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A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition.

IEEE transactions on neural networks and learning systems Jun 5, 2018
This paper deals with sparse signal reconstruction by designing a discrete-time projection neural network. Sparse signal reconstruction can be converted into an L -minimization problem, which can also be changed into the unconstrained basis pursuit d...
Humans Neural Networks, Computer Algorithms Time Factors Facial Recognition Image Processing, Computer-Assisted Recognition, Psychology Pattern Recognition, Automated Photic Stimulation
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Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens.

Statistics in medicine Jun 5, 2018
Dynamic treatment regimens (DTRs) are sequential treatment decisions tailored by patient's evolving features and intermediate outcomes at each treatment stage. Patient heterogeneity and the complexity and chronicity of many diseases call for learning...
Humans Depressive Disorder, Major Models, Statistical Outcome Assessment, Health Care Clinical Protocols Machine Learning Algorithms Precision Medicine
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A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.

IEEE transactions on bio-medical engineering Jun 5, 2018
This paper proposes a segmentation-free radiomics method to classify malignant and benign breast tumors with shear-wave elastography (SWE) data. The method is targeted to integrate the advantage of both SWE in providing important elastic with morphol...
Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Female Humans Sensitivity and Specificity Breast Neoplasms Breast
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