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Non-Government Sector Mental Health Data Dictionary and Standard Data Set

Christie Wood, Duane Pennebaker
2002 Health Information Management Journal  
In order to provide a framework for standardised data reporting in the Australian non-government community mental health sector, a Data Dictionary and standard data set were developed.  ...  Advisory Committee and key stakeholder consultation, review of local and national minimum data sets and stakeholder validation informed this process.  ...  Acknowledgements The Centre for Mental Health Services Research acknowledges the financial support of the Commonwealth Department of Health and Aged Care.  ... 
doi:10.1177/183335830203000404 pmid:19468139 fatcat:fnwk3ti7bnbhxl6pmpyzl6mnhy

Facebook language predicts depression in medical records

Johannes C. Eichstaedt, Robert J. Smith, Raina M. Merchant, Lyle H. Ungar, Patrick Crutchley, Daniel Preoţiuc-Pietro, David A. Asch, H. Andrew Schwartz
2018 Proceedings of the National Academy of Sciences of the United States of America  
We accessed the history of Facebook statuses posted by 683 patients visiting a large urban academic emergency department, 114 of whom had a diagnosis of depression in their medical records.  ...  Unobtrusive depression assessment through social media of consenting individuals may become feasible as a scalable complement to existing screening and monitoring procedures.  ...  We thank anonymous Reviewer 1 for her or his insightful suggestions. Support for this research was provided by a Robert Wood Johnson Foundation Pioneer Award; Templeton Religion Trust Grant TRT0048.  ... 
doi:10.1073/pnas.1802331115 pmid:30322910 pmcid:PMC6217418 fatcat:bxesxtm23bcujfogavzc3lirgy

Medicaid Statistical Information System (MSIS): a data source for quality reporting for Medicaid and the Children's Health Insurance Program (CHIP)

Patricia MacTaggart, Ashley Foster, Anne Markus
2011 Perspectives in health information management  
Five key themes related to the feasibility of using MSIS as a data source for quality measures are identified: states have significant experience with data collection, performance measurement, and quality  ...  Section 401 of the Children's Health Insurance Program Reauthorization Act of 2009 (CHIPRA) requires the Department of Health and Human Services (HHS) to identify and publish healthcare quality measures  ...  Results The five key themes presented below relate to the feasibility of using MSIS as a data source for assessing quality measures for Medicaid/CHIP children and were identified based on experience, policy  ... 
pmid:21464861 pmcid:PMC3070233 fatcat:f3evnb7aabettg36sp7jtnpqd4

Multilingual chief complaint classification for syndromic surveillance: An experiment with Chinese chief complaints

Hsin-Min Lu, Hsinchun Chen, Daniel Zeng, Chwan-Chuen King, Fuh-Yuan Shih, Tsung-Shu Wu, Jin-Yi Hsiao
2009 International Journal of Medical Informatics  
Compared to alternative approaches using a bilingual dictionary and a general-purpose machine translation system, our approach performs significantly better in terms of positive predictive value (PPV or  ...  For automated syndromic surveillance, CCs must be classified into predefined syndromic categories to facilitate subsequent data aggregation and analysis.  ...  National Science Foundation through Grant #IIS-0428241 ("A National Center of Excellence for Infectious Disease Informatics").  ... 
doi:10.1016/j.ijmedinf.2008.08.004 pmid:18838292 pmcid:PMC7108263 fatcat:4zis2aaiprei5p5kbdlfu553gu

Automated content analysis and crisis communication research

Toni G.L.A. van der Meer
2016 Public Relations Review  
This paper aims to provide an overview of how automated content analysis can potentially simplify and complement the analysis of these large collections of texts.  ...  This paper discusses the dictionary method, supervised method, and the unsupervised method as potential useful tools for analyzing crisis communication.  ...  Therefore, for automated content analysis to become a standard tool for crisis research, academics have to contribute to the development of new computational methods and ways to validate the findings of  ... 
doi:10.1016/j.pubrev.2016.09.001 fatcat:pat7xgpivzaifj3l24mnxjl6sq

Research on the Construction of Emergency Network Public Opinion Emotional Dictionary Based on Emotional Feature Extraction Algorithm

Fang Hui
2022 Frontiers in Psychology  
This paper proposes a domain emotion dictionary construction method for network public opinion analysis of public emergencies.  ...  How to strengthen emergency management and improve the ability to prevent and respond to emergencies is an important part of building a harmonious socialist society.  ...  domain emotion dictionary for public opinion analysis of public emergencies. 2.  ... 
doi:10.3389/fpsyg.2022.857769 pmid:35529545 pmcid:PMC9072777 fatcat:flsnyg2zsbgdvnbfjugjqctcza

Data initiatives supporting critical care research and quality improvement in Canada: an environmental scan and narrative review
Bases de données étayant la recherche et l'amélioration de la qualité des soins intensifs au Canada: une étude générale de la situation et revue narrative

Nicholas Jackson Chornenki, the Canadian Critical Care Trials Group (CCCTG) and Canadian Critical Care Translational Biology Group (CCCTBG), Patricia Liaw, Sean Bagshaw, Karen Burns, Peter Dodek, Shane English, Eddy Fan, Nicolay Ferrari, Robert Fowler, Alison Fox-Robichaud, Allan Garland (+13 others)
2020 Canadian Journal of Anesthesia  
Collection and analysis of health data are crucial to achieving high-quality clinical care, research, and quality improvement.  ...  An integrated and inclusive critical care data platform is a key clinical and scientific priority in Canada.  ...  These concerns are being addressed in many jurisdictions outside of Canada, including mechanisms to access high performance computing platforms for analysis to operationalize deep learning and other emerging  ... 
doi:10.1007/s12630-020-01571-1 pmid:31970619 fatcat:fgruqo4pl5crnabudi6ni4orka

Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure

Alex Kopaygorodsky, V.A. Stennikov, N.I. Voropai, S.V. Alekseenko, S.P. Filippov, N.A. Yusifbeyli, B. Sereter, P. Changwei, F.-J. Lin, M. Negnevitsky, C. Rehtanz, J.-Y. Yoon
2020 E3S Web of Conferences  
Methods of building infrastructure for processing Open Linked Data and Big Data are described. Semantic analysis and knowledge integration are based on ontology system.  ...  The article deals with the application of natural language processing methods to support research and forecasting the innovative development of energy infrastructure.  ...  The author is grateful to the Russian Foundation for Basic Research (RFBR) for financial support. The reported study was funded by RFBR, project number 20-07-00994.  ... 
doi:10.1051/e3sconf/202020903015 fatcat:zjbncew3szcgfittzrfb7gql2i

The Feasibility of Using Machine Learning to Classify Calls to South African Emergency Dispatch Centres According to Prehospital Diagnosis, by Utilising Caller Descriptions of the Incident

Tayla Anthony, Amit Kumar Mishra, Willem Stassen, Jarryd Son
2021 Healthcare  
In our work, within the limitations of a limited data set, classification results yielded an accuracy of up to 100% when training with 10-fold cross validation, and 95% accuracy when predicted on unseen  ...  The application of machine learning for classifying time-critical diseases may allow for earlier identification, adequate telephonic triage, and quicker response times of the appropriate cadre of emergency  ...  A recent study found that ML and NLP can be applied to the emergency department triage, and noted to predict patient disposition with a high level of accuracy [11] .  ... 
doi:10.3390/healthcare9091107 pmid:34574881 pmcid:PMC8472370 fatcat:7hpcljqenzhhxlrbyhf7pomxgu

Implementing evidence-based recommended practices for the management of patients with mild traumatic brain injuries in Australian emergency care departments: study protocol for a cluster randomised controlled trial

Marije Bosch, Joanne E McKenzie, Duncan Mortimer, Emma J Tavender, Jill J Francis, Sue E Brennan, Jonathan C Knott, Jennie L Ponsford, Andrew Pearce, Denise A O'Connor, Jeremy M Grimshaw, Jeffrey V Rosenfeld (+2 others)
2014 Trials  
The aim of this trial is to test the effectiveness of a targeted, theory-and evidence-informed implementation intervention to increase the uptake of three key clinical recommendations regarding the emergency  ...  A cost-effectiveness analysis and process evaluation using mixed-methods will be conducted. Sample size calculations are based on including 30 patients on average per department.  ...  Acknowledgements This protocol is part of a 5-year grant (the Neurotrauma Evidence Translation (NET) Program), funded by the Victorian Transport Accident Commission  ... 
doi:10.1186/1745-6215-15-281 pmid:25012235 pmcid:PMC4107995 fatcat:pb64catkhzhwzgbfkgzioqhftm

Long Short-Term Memory for Predicting Firemen Interventions

Selene Leya Cerna Nahuis, Christophe Guyeux, Heber Hwang Arcolezi, Raphael Couturier, Guillaume Royer, Anna Diva Plasencia Lotufo
2019 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)  
While the results could be improved, they are already promising and would allow the actions of firefighters with a constant resource to be optimized.  ...  Many environmental, economic and societal factors are leading fire brigades to be increasingly solicited, and they therefore face an ever-increasing number of interventions, most of the time on constant  ...  part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001, by the EIPHI Graduate School (contract "ANR-17-EURE-0002"), by the Interreg RESponSE project, and  ... 
doi:10.1109/codit.2019.8820671 dblp:conf/codit/NahuisGACRL19 fatcat:cp6ogjvvqfgsllgl4lvbgszwpy

An Informatics Blueprint for Healthcare Quality Information Systems

J. C. Niland, L. Rouse, D. C. Stahl
2006 JAMIA Journal of the American Medical Informatics Association  
While the blueprint was developed to facilitate healthcare quality information collection, management, analysis, and reporting, the concepts and advice provided may be extensible to the development of  ...  A robust healthcare quality information system (HQIS) has the potential to address this deficiency through the capture, codification, and analysis of information about patient treatments and related outcomes  ...  In developing the data dictionary, a key goal is to optimize the capacity for data sharing across systems and studies.  ... 
doi:10.1197/jamia.m2050 pmid:16622161 pmcid:PMC1513682 fatcat:ypdtixwrivhojikrjnqlylgvvu

Establishing injury surveillance in emergency departments in Nepal: protocol for mixed methods prospective study

Dan Magnus, Santosh Bhatta, Julie Mytton, Elisha Joshi, Emma L. Bird, Sumiksha Bhatta, Sunil Raja Manandhar, Sunil Kumar Joshi
2020 BMC Health Services Research  
This study will implement an injury surveillance system for use in emergency departments in Nepal to collect data on patients presenting with injuries.  ...  This study seeks to test a model of injury surveillance based in emergency departments and explore factors that have the potential to influence extension to additional settings.  ...  Acknowledgements We acknowledge the support of the management boards of Hetuada Hospital and Chure Hill Hospital and the clinical teams in the emergency departments for facilitating data collection in  ... 
doi:10.1186/s12913-020-05280-9 pmid:32423459 fatcat:tsqfxw75q5fblff3k4rnouruzm

Usability of novel major TraumaApp for digital data collection

Joanna Butler, Evan Wright, Lucy Longbottom, Alan S. Whitelaw, Kevin Thomson, Malcolm W. G. Gordon, David J. Lowe
2022 BMC Emergency Medicine  
Methods The study was performed as a service evaluation based at the Queen Elizabeth University Hospital Emergency Department.  ...  As one of the priorities laid out by the Scottish Trauma Network project was to develop an electronic data collection system, the TraumaApp was created as a data collection tool for major trauma that could  ...  Acknowledgements Dr Alexandra Mather and Dr Joe Campbell for support in the early development of the App. The WoS Innovation hub for supporting the project team developing the app.  ... 
doi:10.1186/s12873-022-00578-9 pmid:35279070 pmcid:PMC8917623 fatcat:sx4xvmyt5nc7fknq24kt7jhnuy

Emotional characteristics and time series analysis of Internet public opinion participants based on emotional feature words

Fengzhen Jia, Chun-Chun Chen
2020 International Journal of Advanced Robotic Systems  
In recent years, with the rapid development and wide application of the Internet, it has become the main place for the generation and dissemination of public opinion.  ...  To grasp the information of network public opinion in a timely and comprehensive way can not only effectively prevent sudden network malignant events but also provide a reference for the scientific and  ...  2Þ ð10Þ Table 3 . 3 Performance data before and after the expansion of emotion dictionary.  ... 
doi:10.1177/1729881420904213 fatcat:q2f6fdakore7zemfor2bpoubzy
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