Humans

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Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

Surgery Jul 26, 2018
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify surgical complications. We designed a natural language processing algorithm to identify and grade t...
Pulmonary Embolism Venous Thromboembolism Quality Improvement Venous Thrombosis Natural Language Processing Humans Algorithms Postoperative Complications
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Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks.

Annals of biomedical engineering Jul 26, 2018
The tumor-stroma ratio (TSR) reflected on hematoxylin and eosin (H&E)-stained histological images is a potential prognostic factor for survival. Automatic image processing techniques that allow for high-throughput and precise discrimination of tumor ...
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Female Breast Neoplasms Deep Learning Humans Databases, Factual Image Processing, Computer-Assisted Ovarian Neoplasms Tissue Array Analysis
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Complex-valued unsupervised convolutional neural networks for sleep stage classification.

Computer methods and programs in biomedicine Jul 26, 2018
BACKGROUND AND OBJECTIVE: Despite numerous deep learning methods being developed for automatic sleep stage classification, almost all the models need labeled data. However, obtaining labeled data is a subjective process. Therefore, the labels will be...
Middle Aged Deep Learning Wearable Electronic Devices Unsupervised Machine Learning Humans Electroencephalography Neural Networks, Computer Sleep Stages Algorithms Databases, Factual Aged Female Adult Male
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A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Jul 26, 2018
The commonly used classifiers for pattern recognition of human motion, like backpropagation neural network (BPNN) and support vector machine (SVM), usually implement the classification by extracting some hand-crafted features from the human biologica...
Motion Pattern Recognition, Automated Knee Support Vector Machine Muscle, Skeletal Humans Knee Joint Neural Networks, Computer
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Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.

Journal of dentistry Jul 26, 2018
OBJECTIVES: Deep convolutional neural networks (CNNs) are a rapidly emerging new area of medical research, and have yielded impressive results in diagnosis and prediction in the fields of radiology and pathology. The aim of the current study was to e...
Humans Neural Networks, Computer Algorithms Deep Learning ROC Curve Dental Caries
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Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT.

AJNR. American journal of neuroradiology Jul 26, 2018
BACKGROUND AND PURPOSE: Convolutional neural networks are a powerful technology for image recognition. This study evaluates a convolutional neural network optimized for the detection and quantification of intraparenchymal, epidural/subdural, and suba...
Humans Imaging, Three-Dimensional Prospective Studies Neuroimaging Tomography, X-Ray Computed Intracranial Hemorrhages Sensitivity and Specificity Deep Learning
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Response to Skarecky re: Development of a Patient-Based Model for Estimating Operative Times for Robot-Assisted Radical Prostatectomy by Huben et al.

Journal of endourology Jul 26, 2018
Robotics Prostate Prostatectomy Humans Male Operative Time
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Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning.

Scientific reports Jul 26, 2018
Accurate prediction of survival for cystic fibrosis (CF) patients is instrumental in establishing the optimal timing for referring patients with terminal respiratory failure for lung transplantation (LT). Current practice considers referring patients...
Humans Machine Learning Biomarkers United Kingdom Respiratory Insufficiency Prognosis Automation Cystic Fibrosis Risk Factors Respiratory Function Tests Survival Analysis
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Identification of lead anti-human cytomegalovirus compounds targeting MAP4K4 via machine learning analysis of kinase inhibitor screening data.

PloS one Jul 26, 2018
Chemogenomic approaches involving highly annotated compound sets and cell based high throughput screening are emerging as a means to identify novel drug targets. We have previously screened a collection of highly characterized kinase inhibitors (Khan...
Protein Serine-Threonine Kinases Drug Discovery Antiviral Agents Cytomegalovirus Intracellular Signaling Peptides and Proteins RNA, Small Interfering Cytomegalovirus Infections Cell Line Virus Replication Protein Kinase Inhibitors Humans Machine Learning
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Automatic extraction of gene-disease associations from literature using joint ensemble learning.

PloS one Jul 26, 2018
A wealth of knowledge concerning relations between genes and its associated diseases is present in biomedical literature. Mining these biological associations from literature can provide immense support to research ranging from drug-targetable pathwa...
Support Vector Machine PubMed Data Mining Humans Information Storage and Retrieval Semantics Disease
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