AIMC Topic: Information Storage and Retrieval

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Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.

Journal of medical Internet research Jan 12, 2021
BACKGROUND: Liver cancer is a substantial disease burden in China. As one of the primary diagnostic tools for detecting liver cancer, dynamic contrast-enhanced computed tomography provides detailed evidences for diagnosis that are recorded in free-te...
Humans Diagnosis, Computer-Assisted Deep Learning Natural Language Processing Radiology Information Storage and Retrieval China Liver Neoplasms
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Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network.

BioMed research international Dec 26, 2020
Content-based medical image retrieval (CBMIR) systems attempt to search medical image database to narrow the semantic gap in medical image analysis. The efficacy of high-level medical information representation using features is a major challenge in ...
Reproducibility of Results Deep Learning Diagnostic Imaging Image Interpretation, Computer-Assisted Information Storage and Retrieval Humans Algorithms Neural Networks, Computer Databases, Factual
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Semi-supervised disentangled framework for transferable named entity recognition.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2020
Named entity recognition (NER) for identifying proper nouns in unstructured text is one of the most important and fundamental tasks in natural language processing. However, despite the widespread use of NER models, they still require a large-scale la...
Natural Language Processing Supervised Machine Learning Information Storage and Retrieval Humans Language Semantics
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Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.

JAMA network open Dec 1, 2020
IMPORTANCE: Suicide is a leading cause of death in the US. However, official national statistics on suicide rates are delayed by 1 to 2 years, hampering evidence-based public health planning and decision-making.
Emergency Service, Hospital Cross-Sectional Studies Information Storage and Retrieval Public Health Machine Learning United States Suicide Humans Forecasting Public Health Surveillance
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Bridging multimedia heterogeneity gap via Graph Representation Learning for cross-modal retrieval.

Neural networks : the official journal of the International Neural Network Society Nov 28, 2020
Information retrieval among different modalities becomes a significant issue with many promising applications. However, inconsistent feature representation of various multimedia data causes the "heterogeneity gap" among various modalities, which is a...
Humans Multimedia Databases, Factual Machine Learning Information Storage and Retrieval
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Neuromorphic on-chip recognition of saliva samples of COPD and healthy controls using memristive devices.

Scientific reports Nov 12, 2020
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease, affecting millions of people worldwide. Implementation of Machine Learning (ML) techniques is crucial for the effective management of COPD in home-care environments. How...
Information Storage and Retrieval Electronics Healthy Volunteers Case-Control Studies Neural Networks, Computer Humans Saliva Machine Learning Pulmonary Disease, Chronic Obstructive Female Male
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List-wise learning to rank biomedical question-answer pairs with deep ranking recursive autoencoders.

PloS one Nov 9, 2020
Biomedical question answering (QA) represents a growing concern among industry and academia due to the crucial impact of biomedical information. When mapping and ranking candidate snippet answers within relevant literature, current QA systems typical...
Natural Language Processing Information Storage and Retrieval Humans Deep Learning Semantics Biological Ontologies
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LDA filter: A Latent Dirichlet Allocation preprocess method for Weka.

PloS one Nov 9, 2020
This work presents an alternative method to represent documents based on LDA (Latent Dirichlet Allocation) and how it affects to classification algorithms, in comparison to common text representation. LDA assumes that each document deals with a set o...
Information Storage and Retrieval Cluster Analysis Bayes Theorem Humans Algorithms Support Vector Machine
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Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews.

Journal of clinical epidemiology Nov 7, 2020
OBJECTIVES: This study developed, calibrated, and evaluated a machine learning classifier designed to reduce study identification workload in Cochrane for producing systematic reviews.
Information Storage and Retrieval Databases, Bibliographic Systematic Reviews as Topic Workload Humans Algorithms Randomized Controlled Trials as Topic Machine Learning
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Clinical Context-Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation.

Journal of medical Internet research Oct 23, 2020
BACKGROUND: Automatic text summarization (ATS) enables users to retrieve meaningful evidence from big data of biomedical repositories to make complex clinical decisions. Deep neural and recurrent networks outperform traditional machine-learning techn...
Neural Networks, Computer Reproducibility of Results Information Storage and Retrieval Humans
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