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How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review [article]

Daisy Harvey, Aaron Warner, Steven Jones, Paul Rayson, Fiona Lobban, Jasper Palmier-Claus
2021 figshare.com  
The review aims to describe the current applications of Natural Language Processing including the methods used and the intervention that the methodology addresses, to understand the clinical questions  ...  that have been addressed by the research, and to identify current gaps in this area of research.  ...  Thus, Natural Language Processing (NLP) is increasingly used for the analysis of language related to mental health, with data being sourced from both Electronic Health Records (EHRs) and social media.  ... 
doi:10.6084/m9.figshare.15059778.v4 fatcat:p2rikhuwknc4dbzdmfom33k3gm

How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review [article]

Daisy Harvey, Aaron Warner, Steven Jones, Paul Rayson, Fiona Lobban, Jasper Palmier-Claus
2021 figshare.com  
The review aims to describe the current applications of Natural Language Processing including the methods used and the intervention that the methodology addresses, to understand the clinical questions  ...  that have been addressed by the research, and to identify current gaps in this area of research.  ...  Thus, Natural Language Processing (NLP) is increasingly used for the analysis of language related to mental health, with data being sourced from both Electronic Health Records (EHRs) and social media.  ... 
doi:10.6084/m9.figshare.15059778.v1 fatcat:kay5iaqkzbgslgdxcd4wm7en7e

How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review [article]

Daisy Harvey, Aaron Warner, Steven Jones, Paul Rayson, Fiona Lobban, Jasper Palmier-Claus
2021 figshare.com  
The review aims to describe the current applications of Natural Language Processing including the methods used and the intervention that the methodology addresses, to understand the clinical questions  ...  that have been addressed by the research, and to identify current gaps in this area of research.  ...  Thus, Natural Language Processing (NLP) is increasingly used for the analysis of language related to mental health, with data being sourced from both Electronic Health Records (EHRs) and social media.  ... 
doi:10.6084/m9.figshare.15059778.v2 fatcat:bqrgqrl72fg2rjfjsh4jyj7kca

How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review [article]

Daisy Harvey, Aaron Warner, Steven Jones, Paul Rayson, Fiona Lobban, Jasper Palmier-Claus
2021 figshare.com  
The review aims to describe the current applications of Natural Language Processing including the methods used and the intervention that the methodology addresses, to understand the clinical questions  ...  that have been addressed by the research, and to identify current gaps in this area of research.  ...  Thus, Natural Language Processing (NLP) is increasingly used for the analysis of language related to mental health, with data being sourced from both Electronic Health Records (EHRs) and social media.  ... 
doi:10.6084/m9.figshare.15059778.v3 fatcat:a7x3yk5oxvbdffs4vwmfjxduey

How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review [article]

Daisy Harvey, Aaron Warner, Steven Jones, Paul Rayson, Fiona Lobban, Jasper Palmier-Claus
2021 figshare.com  
The review aims to describe the current applications of Natural Language Processing including the methods used and the intervention that the methodology addresses, to understand the clinical questions  ...  that have been addressed by the research, and to identify current gaps in this area of research.  ...  Thus, Natural Language Processing (NLP) is increasingly used for the analysis of language related to mental health, with data being sourced from both Electronic Health Records (EHRs) and social media.  ... 
doi:10.6084/m9.figshare.15059778.v5 fatcat:hojatludevbvrgmlonnjohbusu

NLP-based identification of pneumonia cases from free-text radiological reports

Peter L Elkin, David Froehling, Dietlind Wahner-Roedler, Brett Trusko, Gail Welsh, Haobo Ma, Armen X Asatryan, Jerome I Tokars, S Trent Rosenbloom, Steven H Brown
2008 AMIA Annual Symposium Proceedings  
In this study we examined the ability of a Natural Language Processing system to accurately identify pneumonias and other lesions from within free text radiological reports.  ...  The system encoded the reports in the SNOMED CT Ontology and then a set of SNOMED CT based rules were created in our Health Archetype Language aimed at the identification of these radiological findings  ...  Acknowledgements: This work has been supported in part by grants from the Centers for Disease Control and Prevention (PH00022 and HK00014, PLE), from the National Library of Medicine (5K22 LM008576-03;  ... 
pmid:18998791 pmcid:PMC2656026 fatcat:rpux5wkdefcwpar5wukmxalre4

Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Oxford Mental Illness and Suicide Tool or OxMIS)

Morwenna Senior, Matthias Burghart, Rongqin Yu, Andrey Kormilitzin, Qiang Liu, Nemanja Vaci, Alejo Nevado-Holgado, Smita Pandit, Jakov Zlodre, Seena Fazel
2020 Frontiers in Psychiatry  
We used anonymized free-text documents from the Clinical Record Interactive Search database to train a named entity recognition model, a machine learning technique which recognizes concepts in free-text  ...  In study 2, we examined the feasibility of using natural language processing to scale up this process.  ...  The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, Wellcome Trust, or the Department of Health and Social Care.  ... 
doi:10.3389/fpsyt.2020.00268 pmid:32351413 pmcid:PMC7175991 fatcat:afogglncwzgvhdnsc6kblekgyi

How have Natural Language Processing methods been applied to the study of bipolar? Protocol for scoping review [article]

Daisy Harvey, Fiona Lobban, Paul Rayson, Aaron Warner, Steven Jones
2021 figshare.com  
The review aims to describe the current applications of Natural Language Processing including the methods used and the intervention that the methodology addresses, to understand the clinical questions  ...  that have been addressed by the research, and to identify current gaps in this area of research.  ...  Thus, Natural Language Processing (NLP) is increasingly used for the analysis of language related to mental health, with data being sourced from both Electronic Health Records (EHRs) and social media.  ... 
doi:10.6084/m9.figshare.15059778.v7 fatcat:yjh4az2bmvd3bf2tnh4vqbr66m

Ascertaining Framingham heart failure phenotype from inpatient electronic health record data using natural language processing: a multicentre Atherosclerosis Risk in Communities (ARIC) validation study

Carlton R Moore, Saumya Jain, Stephanie Haas, Harish Yadav, Eric Whitsel, Wayne Rosamand, Gerardo Heiss, Anna M Kucharska-Newton
2021 BMJ Open  
ObjectivesUsing free-text clinical notes and reports from hospitalised patients, determine the performance of natural language processing (NLP) ascertainment of Framingham heart failure (HF) criteria and  ...  Framingham HF phenotype from free-text electronic health record data suggest that validated NLP technology holds the potential for significantly improving the feasibility and efficiency of conducting large-scale  ...  Funding The Atherosclerosis Risk in Communities study has been funded in whole or in part with federal funds from the National Heart, Lung and Blood Institute, National Institutes of Health, Department  ... 
doi:10.1136/bmjopen-2020-047356 pmid:34127492 fatcat:uwfatjbevzfp3bjm54oshtpfyi

Med7: a transferable clinical natural language processing model for electronic health records [article]

Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo Nevado-Holgado
2020 arXiv   pre-print
Electronic health record systems are ubiquitous and the majority of patients' data are now being collected electronically and in particular in the form of free text.  ...  The model was first self-supervisedly pre-trained by predicting the next word, using a collection of 2 million free-text patients' records from MIMIC-III corpora and then fine-tuned on the named-entity  ...  This work was supported by the UK Clinical Records Interactive Search (UK-CRIS) system funded and developed by the NIHR Oxford Health BRC at Oxford Health NHS Foundation Trust and the Department of Psychiatry  ... 
arXiv:2003.01271v2 fatcat:luspmowfwbaqbjgfg3kv2a3vmu

Knowledge Representation and Management: Towards Patient Health Self-management

A.-M. Rassinoux
2012 IMIA Yearbook of Medical Informatics  
Finally, the last paper describes a collaborative search approach integrated into a homegrown EHR search engine.This selected set of papers confirms that natural language processing, as well as knowledge  ...  SummaryTo summarize excellent current research in the field of knowledge representation and management (KRM).A synopsis of the articles selected for the IMIA Yearbook 2012 is provided and an attempt to  ...  Acknowledgement I greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook.  ... 
doi:10.1055/s-0038-1639442 fatcat:abldijr4hnegjbg7yksrobotby

Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research

David A. Hanauer, Jill S. Barnholtz-Sloan, Mark F. Beno, Guilherme Del Fiol, Eric B. Durbin, Oksana Gologorskaya, Daniel Harris, Brett Harnett, Kensaku Kawamoto, Benjamin May, Eric Meeks, Emily Pfaff (+2 others)
2020 JCO Clinical Cancer Informatics  
PURPOSE The Electronic Medical Record Search Engine (EMERSE) is a software tool built to aid research spanning cohort discovery, population health, and data abstraction for clinical trials.  ...  Search terms for two of the sites were characterized using the natural language processing tool MetaMap to determine to which semantic types the terms could be mapped.  ...  of Michigan, University of North Carolina CONTEXT Key Objective To demonstrate the utility of an information retrieval system, the Electronic Medical Record Search Engine (EMERSE), in the context of  ... 
doi:10.1200/cci.19.00134 pmid:32412846 pmcid:PMC7265780 fatcat:eig3tsystzgphaxaln6hr5vfsq

Computer-facilitated Review of Electronic Medical Records Reliably Identifies Emergency Department Interventions in Older Adults

Kevin J. Biese, Cory R. Forbach, Richard P. Medlin, Timothy F. Platts-Mills, Matthew J. Scholer, Brenda McCall, Frances S. Shofer, Michael LaMantia, Cherri Hobgood, J. S. Kizer, Jan Busby-Whitehead, Charles B. Cairns (+1 others)
2013 Academic Emergency Medicine  
Computer-based text search engines have the potential to enhance chart reviews of electronic emergency department (ED) medical records.  ...  Objectives-An estimated 14% to 25% of all scientific studies in peer-reviewed emergency medicine journals are medical records reviews.  ...  T-System uses a combination of structured data fields and free-text entry to generate a final free-text document.  ... 
doi:10.1111/acem.12145 pmid:23758310 pmcid:PMC5936073 fatcat:scfdsryht5eozj2fhvgcyue4xi

A text-mining approach to obtain detailed treatment information from free-text fields in population-based cancer registries: A study of non-small cell lung cancer in California

Frances B. Maguire, Cyllene R. Morris, Arti Parikh-Patel, Rosemary D. Cress, Theresa H. M. Keegan, Chin-Shang Li, Patrick S. Lin, Kenneth W. Kizer, Eugenio Paci
2019 PLoS ONE  
We assessed the accuracy and efficiency of a text-mining algorithm to identify systemic treatments for lung cancer from free-text fields in the California Cancer Registry.  ...  However, specific treatment details, such as drug names, are contained in a free-text format that is difficult to process and summarize.  ...  Their ability to understand language and learn from experience make them powerful tools to explore free text in health records.  ... 
doi:10.1371/journal.pone.0212454 pmid:30794610 pmcid:PMC6386345 fatcat:mfbwdu5qtre5decr7q6j2zbdgq

Use of Natural Language Processing to Identify Significant Abnormalities for Follow-up in a Large Accumulation of Non-delivered Radiology Reports

Michael Hurrell, Alan Stein, Sharyn MacDonald
2017 Journal of Health & Medical Informatics  
system to find such patients in a timely manner.  ...  Results: The computer filtered subset of 2878 reports was then reviewed by a team of radiologists through a computer assisted chart abstraction process leading to 12 records for follow-up, and a single  ...  CDHB Radiologists Vicky Mann, Alex Mchaffie and Rennae Thiessen for assisting MH with review of the processed group of radiology reports for significant findings that required further action.  ... 
doi:10.4172/2157-7420.1000297 fatcat:fdmpo6anznhhlpmcbxgfqgxvha
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