AIMC Journal:
Journal of biomedical informatics

Showing 211 to 220 of 650 articles

An efficient model selection for linear discriminant function-based recursive feature elimination.

Journal of biomedical informatics Apr 15, 2022
Model selection is an important issue in support vector machine-based recursive feature elimination (SVM-RFE). However, performing model selection on a linear SVM-RFE is difficult because the generalization error of SVM-RFE is hard to estimate. This ...
Algorithms Computational Biology Support Vector Machine Discriminant Analysis
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AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.

Journal of biomedical informatics Apr 11, 2022
BACKGROUND: Medical decision-making impacts both individual and public health. Clinical scores are commonly used among various decision-making models to determine the degree of disease deterioration at the bedside. AutoScore was proposed as a useful ...
Machine Learning Algorithms Clinical Decision-Making ROC Curve Logistic Models
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Effects of data and entity ablation on multitask learning models for biomedical entity recognition.

Journal of biomedical informatics Apr 9, 2022
MOTIVATION: Training domain-specific named entity recognition (NER) models requires high quality hand curated gold standard datasets which are time-consuming and expensive to create. Furthermore, the storage and memory required to deploy NLP models c...
Software Natural Language Processing
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TAHDNet: Time-aware hierarchical dependency network for medication recommendation.

Journal of biomedical informatics Apr 4, 2022
Medication recommendation is a hot topic in the research of applying neural networks to the healthcare area. Although extensive progressions have been made, current researches still face the following challenges: (i). Existing methods are poor at eff...
Humans Neural Networks, Computer Learning
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PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology.

Journal of biomedical informatics Mar 26, 2022
The study aims at developing a neural network model to improve the performance of Human Phenotype Ontology (HPO) concept recognition tools. We used the terms, definitions, and comments about the phenotypic concepts in the HPO database to train our mo...
Humans Neural Networks, Computer Phenotype Databases, Factual Language
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Generative adversarial networks for biomedical time series forecasting and imputation.

Journal of biomedical informatics Mar 25, 2022
In the present systematic review we identified and summarised current research activities in the field of time series forecasting and imputation with the help of generative adversarial networks (GANs). We differentiate between imputation which descri...
Neural Networks, Computer Forecasting Research Design Time Factors Bibliometrics
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Temporal information extraction with the scalable cross-sentence context for electronic health records.

Journal of biomedical informatics Mar 15, 2022
Temporal information is essential for accurate understanding of medical information hidden in electronic health record texts. In the absence of temporal information, it is even impossible to distinguish whether the mentioned symptom is a current cond...
Algorithms Electronic Health Records Natural Language Processing Information Storage and Retrieval Time
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Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network.

Journal of biomedical informatics Feb 23, 2022
OBJECTIVE: External knowledge, such as lexicon of words in Chinese and domain knowledge graph (KG) of concepts, has been recently adopted to improve the performance of machine learning methods for named entity recognition (NER) as it can provide addi...
Neural Networks, Computer Machine Learning Delivery of Health Care Language China
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Real-time data analysis in health monitoring systems: A comprehensive systematic literature review.

Journal of biomedical informatics Feb 20, 2022
Health monitoring systems (HMSs) capture physiological measurements through biosensors (sensing), obtain significant properties and measures from the output signal (perceiving), use algorithms for data analysis (reasoning), and trigger warnings or al...
Machine Learning Data Analysis Algorithms Monitoring, Physiologic Data Mining
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Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Journal of biomedical informatics Feb 16, 2022
Patient similarity learning has attracted great research interest in biomedical informatics. Correctly identifying the similarity between a given patient and patient records in the database could contribute to clinical references for diagnosis and me...
Humans Neural Networks, Computer Databases, Factual Electronic Health Records
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