AIMC Topic: Neural Networks, Computer

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Neural network analysis of Chinese herbal medicine prescriptions for patients with colorectal cancer.

Complementary therapies in medicine Dec 5, 2018
Traditional Chinese Medicine (TCM) is an experiential form of medicine with a history dating back thousands of years. The present study aimed to utilize neural network analysis to examine specific prescriptions for colorectal cancer (CRC) in clinical...
Medicine, Chinese Traditional Humans Drugs, Chinese Herbal Neural Networks, Computer Drug Prescriptions Software Databases, Factual Colorectal Neoplasms
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Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data.

Journal of integrative bioinformatics Dec 5, 2018
We present a flexible deep convolutional neural network method for the analysis of arbitrary sized graph structures representing molecules. This method, which makes use of the Lipinski RDKit module, an open-source cheminformatics software, enables th...
Humans Drug Design Pharmaceutical Preparations Machine Learning Neural Networks, Computer Software Databases, Pharmaceutical
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Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
We develop three efficient approaches for generating visual explanations from 3D convolutional neural networks (3D-CNNs) for Alzheimer's disease classification. One approach conducts sensitivity analysis on hierarchical 3D image segmentation, and the...
Humans Neural Networks, Computer Imaging, Three-Dimensional Magnetic Resonance Imaging Brain Brain Mapping Neuroimaging Alzheimer Disease
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A Frame-Based NLP System for Cancer-Related Information Extraction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
We propose a frame-based natural language processing (NLP) method that extracts cancer-related information from clinical narratives. We focus on three frames: cancer diagnosis, cancer therapeutic procedure, and tumor description. We utilize a deep le...
Semantics Datasets as Topic Information Storage and Retrieval Electronic Health Records Natural Language Processing Humans Neoplasms Heuristics Neural Networks, Computer Deep Learning
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Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Substance abuse carries many negative health consequences. Detailed information about patients' substance abuse history is usually captured in free-text clinical notes. Automatic extraction of substance abuse information is vital to assess patients' ...
Information Storage and Retrieval Substance-Related Disorders Substance Abuse Detection Machine Learning Algorithms Female Male Electronic Health Records Humans Neural Networks, Computer
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Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has important implications for clinical diagnosis, and for emerging methods such as telemedicine and computer-based image analysis. In this study, we trained ...
Humans Neural Networks, Computer Reproducibility of Results Deep Learning ROC Curve Algorithms Infant, Newborn Retinopathy of Prematurity Retina Area Under Curve Telemedicine Fundus Oculi Infant, Premature
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Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
There has been an increasing interest in developing deep learning methods to recognize clinical concepts from narrative clinical text. Recently, several studies have reported that Recurrent Neural Networks (RNNs) outperformed traditional machine lear...
Deep Learning Humans Natural Language Processing Neural Networks, Computer Unified Medical Language System
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A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The prediction of patient mortality, which can detect high-risk patients, is a significant yet challenging problem in medical informatics. Thanks to the wide adoption of electronic health records (EHRs), many data-driven methods have been proposed to...
Area Under Curve Humans Peptic Ulcer Hemorrhage Algorithms Risk Assessment Neural Networks, Computer Electronic Health Records ROC Curve
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Using Convolutional Neural Networks to Support Insertion of New Concepts into SNOMED CT.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Many major medical ontologies go through a regular (bi-annual, monthly, etc.) release cycle. A new release will contain corrections to the previous release, as well as genuinely new concepts that are the result of either user requests or new developm...
Neural Networks, Computer Systematized Nomenclature of Medicine Machine Learning Support Vector Machine
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Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Reviewing radiology reports in emergency departments is an essential but laborious task. Timely follow-up of patients with abnormal cases in their radiology reports may dramatically affect the patient's outcome, especially if they have been discharge...
Emergency Service, Hospital Algorithms Supervised Machine Learning Classification Neural Networks, Computer Information Storage and Retrieval Natural Language Processing Radiology Information Systems
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