AIMC Topic: Neural Networks, Computer

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Deep Learning on Big, Sparse, Behavioral Data.

Big data Dec 1, 2019
The outstanding performance of deep learning (DL) for computer vision and natural language processing has fueled increased interest in applying these algorithms more broadly in both research and practice. This study investigates the application of DL...
Deep Learning Humans Neural Networks, Computer Big Data Natural Language Processing
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Super-resolution recurrent convolutional neural networks for learning with multi-resolution whole slide images.

Journal of biomedical optics Dec 1, 2019
We study a problem scenario of super-resolution (SR) algorithms in the context of whole slide imaging (WSI), a popular imaging modality in digital pathology. Instead of just one pair of high- and low-resolution images, which is typically the setup in...
Histological Techniques Humans Neural Networks, Computer Microscopy Machine Learning Image Interpretation, Computer-Assisted Algorithms Neoplasms
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[Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery] Dec 1, 2019
To examine the value and clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer. Totally 124 patients with advanced gastric cancer who underwent radical gastrectomy plus D2 lymphad...
Datasets as Topic Lymphatic Metastasis Lymph Node Excision Gastrectomy Image Processing, Computer-Assisted Middle Aged Humans Lymph Nodes Diagnosis, Computer-Assisted Female Neural Networks, Computer Child Stomach Neoplasms Male
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Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms.

Journal of biomedical optics Dec 1, 2019
Corneal thickness (CoT) is an important tool in the evaluation process for several disorders and in the assessment of intraocular pressure. We present a method enabling high-precision measurement of CoT based on secondary speckle tracking and process...
Humans Neural Networks, Computer Machine Learning Algorithms Aged Phantoms, Imaging Corneal Pachymetry Young Adult Adult Cornea Middle Aged Image Interpretation, Computer-Assisted
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Using convolutional neural networks to identify patient safety incident reports by type and severity.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To evaluate the feasibility of a convolutional neural network (CNN) with word embedding to identify the type and severity of patient safety incident reports.
Classification Medical Errors Risk Management Feasibility Studies Humans Neural Networks, Computer Patient Safety Support Vector Machine
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Forecasting the development of acute kidney injury using a recurrent neural network.

Cardiovascular research Dec 1, 2019
Neural Networks, Computer Forecasting Acute Kidney Injury Humans
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A computational method for design of connected catalytic networks in proteins.

Protein science : a publication of the Protein Society Dec 1, 2019
Computational design of new active sites has generally proceeded by geometrically defining interactions between the reaction transition state(s) and surrounding side-chain functional groups which maximize transition-state stabilization, and then sear...
Biocatalysis Hydrogen Bonding Binding Sites Databases, Protein Models, Molecular Neural Networks, Computer Proteins
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Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13).

Proteins Dec 1, 2019
We describe AlphaFold, the protein structure prediction system that was entered by the group A7D in CASP13. Submissions were made by three free-modeling (FM) methods which combine the predictions of three neural networks. All three systems were guide...
Proteins Databases, Protein Models, Molecular Neural Networks, Computer Algorithms Computational Biology Protein Conformation Protein Folding
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Deep neural networks ensemble for detecting medication mentions in tweets.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Twitter posts are now recognized as an important source of patient-generated data, providing unique insights into population health. A fundamental step toward incorporating Twitter data in pharmacoepidemiologic research is to automatically...
Social Media Natural Language Processing Humans Pharmacovigilance Neural Networks, Computer Pharmaceutical Preparations Deep Learning
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Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to dec...
Communication Datasets as Topic Middle Aged Humans Natural Language Processing Primary Health Care Machine Learning Medical Records Physician-Patient Relations Neural Networks, Computer Aged Office Visits Tape Recording
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