AIMC Topic: Information Storage and Retrieval

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Clinical concept extraction: A methodology review.

Journal of biomedical informatics Aug 6, 2020
BACKGROUND: Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinical information from text for a wide range of applications ranging from...
Research Design Bibliometrics Natural Language Processing Information Storage and Retrieval
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CAS: corpus of clinical cases in French.

Journal of biomedical semantics Aug 6, 2020
BACKGROUND: Textual corpora are extremely important for various NLP applications as they provide information necessary for creating, setting and testing those applications and the corresponding tools. They are also crucial for designing reliable meth...
Natural Language Processing Information Storage and Retrieval Electronic Health Records Semantics
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Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window.

PloS one Jul 23, 2020
Measuring the semantic similarity between words is important for natural language processing tasks. The traditional models of semantic similarity perform well in most cases, but when dealing with words that involve geographical context, spatial seman...
PubMed Information Storage and Retrieval Language Humans Natural Language Processing Comprehension Semantics Algorithms Linguistics
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Extraction of temporal relations from clinical free text: A systematic review of current approaches.

Journal of biomedical informatics Jul 13, 2020
BACKGROUND: Temporal relations between clinical events play an important role in clinical assessment and decision making. Extracting such relations from free text data is a challenging task because it lies on between medical natural language processi...
Information Storage and Retrieval Machine Learning Natural Language Processing Electronic Health Records Time Data Mining
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Semi-Supervised Text Classification Framework: An Overview of Dengue Landscape Factors and Satellite Earth Observation.

International journal of environmental research and public health Jun 23, 2020
In recent years there has been an increasing use of satellite Earth observation (EO) data in dengue research, in particular the identification of landscape factors affecting dengue transmission. Summarizing landscape factors and satellite EO data sou...
Humans Dengue India Information Storage and Retrieval Hot Temperature Machine Learning Animals
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Clinical questionnaire filling based on question answering framework.

International journal of medical informatics Jun 17, 2020
BACKGROUND: Electronic Health Records (EHR) are the foundation of much medical research. However, analyzing the text data of EHRs directly is an challenging task. Therefore, physicians often use questionnaires to first convert text data to structured...
Neural Networks, Computer Surveys and Questionnaires Information Storage and Retrieval Algorithms Electronic Health Records
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Supervised mixture of experts models for population health.

Methods (San Diego, Calif.) May 21, 2020
We propose a machine learning driven approach to derive insights from observational healthcare data to improve public health outcomes. Our goal is to simultaneously identify patient subpopulations with differing health risks and to find those risk fa...
Medical Informatics Population Health Normal Distribution Supervised Machine Learning Information Storage and Retrieval Humans Electronic Health Records
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A deep metric learning approach for histopathological image retrieval.

Methods (San Diego, Calif.) May 19, 2020
To distinguish ambiguous images during specimen slides viewing, pathologists usually spend lots of time to seek guidance from confirmed similar images or cases, which is inefficient. Therefore, several histopathological image retrieval methods have b...
Information Storage and Retrieval Pathology, Clinical Deep Learning Datasets as Topic Humans
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Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.

Diabetes care May 15, 2020
OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of fu...
Information Storage and Retrieval International Classification of Diseases Clinical Decision Rules Community Health Planning Natural Language Processing Hypoglycemia United States Predictive Value of Tests Adult Humans Male Algorithms Severity of Illness Index Diabetes Mellitus, Type 2 Middle Aged Electronic Health Records Aged, 80 and over Aged Female Young Adult
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OtoMatch: Content-based eardrum image retrieval using deep learning.

PloS one May 15, 2020
Acute infections of the middle ear are the most commonly treated childhood diseases. Because complications affect children's language learning and cognitive processes, it is essential to diagnose these diseases in a timely and accurate manner. The pr...
Reproducibility of Results Databases as Topic Humans Adult Child Information Storage and Retrieval Deep Learning Algorithms Image Processing, Computer-Assisted Tympanic Membrane
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