Humans

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Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks.

Medical image analysis Jun 15, 2018
Surgical guidance and decision making could be improved with accurate and real-time measurement of intra-operative data including shape and spectral information of the tissue surface. In this work, a dual-modality endoscopic system has been proposed ...
Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Intraoperative Period Endoscopes Fiber Optic Technology Spectrum Analysis Spatial Analysis
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A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.

Journal of biomedical informatics Jun 15, 2018
Recently, recurrent neural networks (RNNs) have been applied in predicting disease onset risks with Electronic Health Record (EHR) data. While these models demonstrated promising results on relatively small data sets, the generalizability and transfe...
Middle Aged Case-Control Studies Deep Learning Aged Aged, 80 and over Male Medical Informatics Logistic Models Area Under Curve Heart Failure Algorithms Databases, Factual Computer Simulation Electronic Health Records Female Reproducibility of Results Humans Neural Networks, Computer
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Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection.

Journal of biomedical informatics Jun 15, 2018
Methods based on microarrays (MA), mass spectrometry (MS), and machine learning (ML) algorithms have evolved rapidly in recent years, allowing for early detection of several types of cancer. A pitfall of these approaches, however, is the overfitting ...
(1)
Gene Expression Oligonucleotide Array Sequence Analysis Neoplasms Proteomics Support Vector Machine Humans Neural Networks, Computer Algorithms
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SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins.

International journal of molecular sciences Jun 15, 2018
Antioxidant proteins can be beneficial in disease prevention. More attention has been paid to the functionality of antioxidant proteins. Therefore, identifying antioxidant proteins is important for the study. In our work, we propose a computational m...
(1)
Sequence Analysis, Protein Oxidative Stress Support Vector Machine Protein Domains Software Animals Humans
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Time series model for forecasting the number of new admission inpatients.

BMC medical informatics and decision making Jun 15, 2018
BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and ...
Humans Neural Networks, Computer Inpatients Forecasting Patient Admission China Models, Theoretical
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A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Jun 15, 2018
STUDY OBJECTIVES: This study evaluated a novel artificial neural network (ANN) based sleep-disordered breathing (SDB) screening tool incorporating nocturnal pulse oximetry with demographic, anatomic, and clinical data. The tool was compatible with 6 ...
Neural Networks, Computer Male Sleep Apnea Syndromes Humans Female Oximetry Middle Aged Sensitivity and Specificity
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Fetal health status prediction based on maternal clinical history using machine learning techniques.

Computer methods and programs in biomedicine Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Bayes Theorem Fetus Diagnosis, Computer-Assisted Internet Perception Telemedicine ROC Curve Humans Machine Learning Congenital Abnormalities Mobile Applications Regression Analysis Algorithms Logistic Models Female Decision Trees Pregnancy Support Vector Machine Reproducibility of Results Area Under Curve Health Status Ultrasonography, Prenatal
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Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network.

Computers in biology and medicine Jun 14, 2018
In magnetic resonance imaging (MRI), the acquired images are usually not of high enough resolution due to constraints such as long sampling times and patient comfort. High-resolution MRI images can be obtained by super-resolution techniques, which ca...
Algorithms Brain Magnetic Resonance Imaging Humans Signal-To-Noise Ratio Neural Networks, Computer
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Fisher Discrimination Regularized Robust Coding Based on a Local Center for Tumor Classification.

Scientific reports Jun 14, 2018
Tumor classification is crucial to the clinical diagnosis and proper treatment of cancers. In recent years, sparse representation-based classifier (SRC) has been proposed for tumor classification. The employed dictionary plays an important role in sp...
Machine Learning Neoplasms Models, Biological Humans
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Predictive modeling for odor character of a chemical using machine learning combined with natural language processing.

PloS one Jun 14, 2018
Recent studies on machine learning technology have reported successful performances in some visual and auditory recognition tasks, while little has been reported in the field of olfaction. In this paper we report computational methods to predict the ...
Natural Language Processing Humans Odorants Machine Learning Smell Taste Models, Theoretical Databases, Chemical
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