AIMC Topic: Natural Language Processing

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A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing.

Medical care
BACKGROUND: With the increasing focus on reducing hospital readmissions in the United States, numerous readmissions risk prediction models have been proposed, mostly developed through analyses of structured data fields in electronic medical records a...

A New Essential Functions Installed DWH in Hospital Information System: Process Mining Techniques and Natural Language Processing.

Studies in health technology and informatics
Several kinds of event log data produced in daily clinical activities have yet to be used for secure and efficient improvement of hospital activities. Data Warehouse systems in Hospital Information Systems used for the analysis of structured data suc...

Using Semantic Technologies to Extract Highlights from Care Notes.

Studies in health technology and informatics
We propose a cognitive system for patient-centric care that leverages and combines natural language processing, semantics, and learning from users over time to support care professionals working with large volumes of patient notes. The proposed metho...

Comparison of Different Algorithms for Sentiment Analysis: Psychological Stress Notes.

Studies in health technology and informatics
To visualize and compare three text analysis algorithms of sentiment (AFINN, Bing, Syuzhet), applied to 1549 ecologically assessed self-report stress notes obtained by smartphone, in order to gain insights about stress measurement and management.

Identifying Patients' Smoking Status from Electronic Dental Records Data.

Studies in health technology and informatics
Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessib...

Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers.

Studies in health technology and informatics
NLP-PIER (Natural Language Processing - Patient Information Extraction for Research) is a self-service platform with a search engine for clinical researchers to perform natural language processing (NLP) queries using clinical notes. We conducted user...

MetaMap Lite in Excel: Biomedical Named-Entity Recognition for Non-Technical Users.

Studies in health technology and informatics
We developed an easy-to-use tool for non-technical biomedical researchers to conduct Named-Entity Recognition (NER) on biomedical text, in a familiar spreadsheet environment. The system is a simple, offline, easy to install, end-user front-end to the...

An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria.

Studies in health technology and informatics
Eligibility criteria are important for clinical research protocols or clinical practice guidelines for determining who qualify for studies and to whom clinical evidence is applicable, but the free-text format is not amenable for computational process...

An Ontology-Based Approach to Estimate the Frequency of Rare Diseases in Narrative-Text Radiology Reports.

Studies in health technology and informatics
This study sought to use ontology-based knowledge to identify patients with rare diseases and to estimate the frequency of those diseases in a large database of radiology reports. Natural language processing methods were applied to 12,377,743 narrari...