AIMC Journal:
Journal of biomedical informatics

Showing 351 to 360 of 650 articles

Attention guided capsule networks for chemical-protein interaction extraction.

Journal of biomedical informatics Feb 15, 2020
The biomedical literature contains a sufficient number of chemical-protein interactions (CPIs). Automatic extraction of CPI is a crucial task in the biomedical domain, which has excellent benefits for precision medicine, drug discovery and basic biom...
Neural Networks, Computer Research Design Publications Data Mining Attention
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A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature.

Journal of biomedical informatics Feb 4, 2020
Recently joint modeling methods of entity and relation exhibit more promising results than traditional pipelined methods in general domain. However, they are inappropriate for the biomedical domain due to numerous overlapping relations in biomedical ...
Neural Networks, Computer Research Design Publications Data Mining
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Multiple features for clinical relation extraction: A machine learning approach.

Journal of biomedical informatics Feb 3, 2020
Relation extraction aims to discover relational facts about entity mentions from plain texts. In this work, we focus on clinical relation extraction; namely, given a medical record with mentions of drugs and their attributes, we identify relations be...
Machine Learning Language Natural Language Processing Knowledge Bases
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Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition.

Journal of biomedical informatics Jan 28, 2020
With the rapid advancement of technology and the necessity of processing large amounts of data, biomedical Named Entity Recognition (NER) has become an essential technique for information extraction in the biomedical field. NER, which is a sequence-l...
Neural Networks, Computer Machine Learning Language Information Storage and Retrieval
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Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research.

Journal of biomedical informatics Dec 31, 2019
OBJECTIVE: The speed of the diagnosis process is vital in pursuing the trial of curing cancer. During the last decade, precision medicine evolved by detecting different types of cancer through microarrays (MA) of deoxyribonucleic acid (DNA) processed...
Neural Networks, Computer Machine Learning Algorithms Neoplasms Logistic Models Gene Expression
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Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

Journal of biomedical informatics Dec 28, 2019
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learning, as opposed to supervised learning, has shown promise in identifying...
Humans Machine Learning Electronic Health Records Models, Statistical Unsupervised Machine Learning Disease Hotspot
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The impact of extraneous features on the performance of recurrent neural network models in clinical tasks.

Journal of biomedical informatics Dec 20, 2019
Electronic Medical Records (EMR) are a rich source of patient information, including measurements reflecting physiologic signs and administered therapies. Identifying which variables or features are useful in predicting clinical outcomes can be chall...
Humans Neural Networks, Computer Algorithms Electronic Health Records
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Terminologies augmented recurrent neural network model for clinical named entity recognition.

Journal of biomedical informatics Dec 16, 2019
OBJECTIVE: We aimed to enhance the performance of a supervised model for clinical named-entity recognition (NER) using medical terminologies. In order to evaluate our system in French, we built a corpus for 5 types of clinical entities.
Neural Networks, Computer Language Natural Language Processing Terminology as Topic
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Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.

Journal of biomedical informatics Dec 12, 2019
INTRODUCTION: Machine learning (ML) and natural language processing have great potential to improve information extraction (IE) within electronic medical records (EMRs) for a wide variety of clinical search and summarization tools. Despite ML advance...
Humans Neural Networks, Computer Machine Learning Electronic Health Records Natural Language Processing Information Storage and Retrieval
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SECNLP: A survey of embeddings in clinical natural language processing.

Journal of biomedical informatics Nov 8, 2019
Distributed vector representations or embeddings map variable length text to dense fixed length vectors as well as capture prior knowledge which can transferred to downstream tasks. Even though embeddings have become de facto standard for text repres...
Surveys and Questionnaires Natural Language Processing Knowledge
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