AIMC Topic: Information Storage and Retrieval

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Consumer health information and question answering: helping consumers find answers to their health-related information needs.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2020
OBJECTIVE: Consumers increasingly turn to the internet in search of health-related information; and they want their questions answered with short and precise passages, rather than needing to analyze lists of relevant documents returned by search engi...
Deep Learning Pilot Projects Natural Language Processing Humans Machine Learning Consumer Health Information Search Engine MedlinePlus Datasets as Topic Information Storage and Retrieval Unified Medical Language System
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Using a simple open-source automated machine learning algorithm to forecast COVID-19 spread: A modelling study.

Advances in respiratory medicine Jan 1, 2020
INTRODUCTION: Machine learning algorithms have been used to develop prediction models in various infectious and non-infectious settings including interpretation of images in predicting the outcome of diseases. We demonstrate the application of one su...
Betacoronavirus Forecasting Pandemics Male COVID-19 COVID-19 Testing Pneumonia, Viral Female Humans Algorithms Models, Statistical Information Storage and Retrieval SARS-CoV-2 Machine Learning Coronavirus Infections Clinical Laboratory Techniques
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Bio-AnswerFinder: a system to find answers to questions from biomedical texts.

Database : the journal of biological databases and curation Jan 1, 2020
The ever accelerating pace of biomedical research results in corresponding acceleration in the volume of biomedical literature created. Since new research builds upon existing knowledge, the rate of increase in the available knowledge encoded in biom...
Humans Data Mining Neural Networks, Computer Information Storage and Retrieval Biomedical Research Natural Language Processing
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Advancing the state of the art in automatic extraction of adverse drug events from narratives.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
Medical Records Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans Information Storage and Retrieval Electronic Health Records Narration
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Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: We implement 2 different multitask learning (MTL) techniques, hard parameter sharing and cross-stitch, to train a word-level convolutional neural network (CNN) specifically designed for automatic extraction of cancer data from unstructured...
Humans Neural Networks, Computer Machine Learning Neoplasms Support Vector Machine Natural Language Processing Registries Information Storage and Retrieval
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Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Detecting adverse drug events (ADEs) and medications related information in clinical notes is important for both hospital medical care and medical research. We describe our clinical natural language processing (NLP) system to automatically...
Unified Medical Language System Deep Learning Narration Natural Language Processing Drug-Related Side Effects and Adverse Reactions Knowledge Bases Information Storage and Retrieval Humans Neural Networks, Computer Electronic Health Records
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2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article summarizes the preparation, organization, evaluation, and results of Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on extraction of adverse drug events (ADEs) from clinical records and evalu...
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Datasets as Topic Information Storage and Retrieval Electronic Health Records Patient Discharge Summaries Humans Deep Learning Support Vector Machine
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Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: To develop a natural language processing system that identifies relations of medications with adverse drug events from clinical narratives. This project is part of the 2018 n2c2 challenge.
Narration Natural Language Processing Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Electronic Health Records Deep Learning Information Storage and Retrieval Humans
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Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Identification of drugs, associated medication entities, and interactions among them are crucial to prevent unwanted effects of drug therapy, known as adverse drug events. This article describes our participation to the n2c2 shared-task in...
Electronic Health Records Deep Learning Natural Language Processing Humans Neural Networks, Computer Information Storage and Retrieval Drug Interactions Drug-Related Side Effects and Adverse Reactions
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Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: An adverse drug event (ADE) refers to an injury resulting from medical intervention related to a drug including harm caused by drugs or from the usage of drugs. Extracting ADEs from clinical records can help physicians associate adverse ev...
Terminology as Topic Algorithms Electronic Health Records Narration Humans Natural Language Processing Neural Networks, Computer Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval
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