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Multilingual Epidemic Event Extraction

Stephen Mutuvi, Emanuela Boros, Antoine Doucet, Gaël Lejeune, Adam Jatowt, Moses Odeo
2021 Zenodo  
We investigate various Transformer-based models, also adopting a two-stage strategy, first finding the documents that contain events and then performing event extraction.  ...  We experiment with a multilingual dataset comprising news articles from the medical domain with diverse morphological structures (Chinese, English, French, Greek, Polish, and Russian).  ...  is able to detect key event information from news articles in multilingual corpora.  ... 
doi:10.5281/zenodo.5779965 fatcat:jz2vlx77irerbncqt3ncmkjjm4

Avian Influenza Risk Surveillance in North America with Online Media

Colin Robertson, Lauren Yee, Dena L. Schanzer
2016 PLoS ONE  
The use of Internet-based sources of information for health surveillance applications has increased in recent years, as a greater share of social and media activity happens through online channels.  ...  A fully automated data extraction and analysis pipeline was developed to acquire, structure, and analyze social media messages in an online context.  ...  Twitter acted as an efficient tool to access reports of AI events in news articles, blog posts, and other sources of online media.  ... 
doi:10.1371/journal.pone.0165688 pmid:27880777 pmcid:PMC5120807 fatcat:vps4znxlezbbna32xdptaih2na

Observing the Unobserved: A Newspaper Based Dengue Surveillance System for the Low-Income Regions of Bangladesh

Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Jillur Rahman Saurav, Sheikh Rabiul Islam, Mohammad Ruhul Amin
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
We use some well known data-mining techniques on the local newspapers, written in Bengali, to unearth valuable insights and develop a dengue news surveillance system.  ...  The lack of a stable, cost-effective, and suitable surveillance system has made the identification of dengue zones and designing potential control programs very challenging.  ...  In this article, we present a data driven approach to develop a dengue surveillance system based on the dengue related news published in the local newspapers.  ... 
doi:10.32473/flairs.v34i1.128552 fatcat:cqgooo5yljgrtmsx6l4xot4r54

Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh [article]

Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Sheikh Rabiul Islam, Mohammad Ruhul Amin
2021 arXiv   pre-print
In this paper, we explore the scope and potential of a local newspaper-based dengue surveillance system, using well-known data-mining techniques, in Bangladesh from the analysis of the news contents written  ...  It is so prevalent in such regions that enforcing a granular level of surveillance is quite impossible.  ...  These factors prompted us to investigate local newspaper data in order to assess its potential as a supplementary surveillance system.  ... 
arXiv:2107.14095v1 fatcat:ln6dx5zmujehrjxalgyuscw72u

Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior

Sumithra Velupillai, Gergö Hadlaczky, Enrique Baca-Garcia, Genevieve M. Gorrell, Nomi Werbeloff, Dong Nguyen, Rashmi Patel, Daniel Leightley, Johnny Downs, Matthew Hotopf, Rina Dutta
2019 Frontiers in Psychiatry  
We provide a perspective on the strengths and weaknesses of these applications to mental health-related data, and suggest research directions to enable improvement in clinical practice.  ...  In this conceptual review, we discuss established risk assessment tools and examples of novel data-driven approaches that have been used for identification of suicidal behavior and risk.  ...  All authors contributed to editing and revising the manuscript. SV incorporated edits of the other authors. All authors approved the final version.  ... 
doi:10.3389/fpsyt.2019.00036 pmid:30814958 pmcid:PMC6381841 fatcat:jkf63z33xbhh3ckgvpe6ozu7sy

Policy-based Data Integration for e-Health Monitoring Processes in a B2B Environment: Experiences from Canada

Benjamin Eze, Craig Kuziemsky, Liam Peyton, Grant Middleton, Alain Mouttham
2010 Journal of Theoretical and Applied Electronic Commerce Research  
In this paper, we extend the traditional SOA framework to define a flexible policy-based approach for defining and monitoring streaming event data based on a general publish/subscribe model in a business-to-business  ...  In this paper, we extend the traditional SOA framework to define a flexible policy-based approach for defining and monitoring streaming event data based on a general publish/subscribe model in a B2B healthcare  ...  We have shown how the traditional approach can be extended in a principled fashion to support policy-based data integration using a policy-based event-driven publish-subscribe framework.  ... 
doi:10.4067/s0718-18762010000100006 fatcat:fael5wvqojhyrm5vcqqo5od6c4

Characterizing HIV discussions and engagement on Twitter

Aqdas Malik, Angi Antonino, M Laeeq Khan, Marko Nieminen
2021 Health and Technology  
Analyzing health-related opinions and discussions on these platforms complement traditional public health surveillance systems to support timely and effective interventions.  ...  After pre-processing the collected data, we conducted engagement analysis, temporal analysis, and topic modeling algorithm on the analytical sample (n = 122,807).  ...  Conclusions The current study utilized publicly available Twitter data on HIV by applying a data-driven approach to understand the conversations and key entities and events driving the engagement.  ... 
doi:10.1007/s12553-021-00577-z fatcat:wt3g4rwoufdolgptkgtauadin4

Assessing Creditworthiness in the Age of Big Data

Pernille Hohnen, Michael Alexander Ulfstjerne, Mathias Sosnowski Krabbe
2021 Journal of Extreme Anthropology  
Danish banks seem to have developed a system of intensive, yet hidden credit scoring based on surveillance and harvesting of behavioural data, which, however, due to GDPR takes place in restricted silos  ...  In the US, fewer legal restrictions on data trading combined with both widespread and visible credit scoring has led to the development of a credit data market and widespread use of credit scoring by '  ...  Finally, thanks to The Obel Family Foundation for funding a part of the project.  ... 
doi:10.5617/jea.8315 fatcat:ywlzb2d74jhb7eumpamtd4bbma

Protocol for a multicenter, real-world study of HIV pre-exposure prophylaxis among men who have sex with men in China (CROPrEP)

Hongyi Wang, Yonghui Zhang, Zhu Mei, Yueru Jia, Sequoia I. Leuba, Jing Zhang, Zhenxing Chu, Haibo Ding, Yongjun Jiang, Wenqing Geng, Hong Shang, Junjie Xu
2019 BMC Infectious Diseases  
A propensity score matching model will be fitted to examine the effectiveness of PrEP use in HIV seroconversion compared with non-PrEP users selected from a local expanding cohort study of HIV-1-negative  ...  Methods: The CROPrEP project, a real-world study of PrEP use, will recruit 1000 high-risk HIV-negative MSM participants from four cities in China, who will be able to choose between daily or event-driven  ...  The topic is to participate in the unit: the Chinese center for disease control and prevention STD AIDS prevention and control center, Beijing You'an hospital affiliated to capital medical university,  ... 
doi:10.1186/s12879-019-4355-y fatcat:hfcj5kasyjblloqurzffqyfwyu

How real-world evidence can really deliver: a case study of data source development and use

Joseph Drozda, Angelique Zeringue, Benjamin Dummitt, Byron Yount, Frederic Resnic
2020 BMJ Surgery, Interventions, & Health Technologies  
Propensity scores were calculated using covariates based on the adjustment models used in the Massachusetts CathPCI data (Mass-DAC registry) with presenting diagnosis based on International Classification  ...  Hypothesis-driven analyses can be performed or events can be monitored longitudinally to detect unanticipated safety signals.  ... 
doi:10.1136/bmjsit-2019-000024 pmid:35047785 pmcid:PMC8749311 fatcat:6yvosvoenbdpdl4xo5hok7kgfe

Evaluation of influenza surveillance systems in sub-Saharan Africa: a systematic review protocol

Evanson Zondani Sambala, Duduzile Edith Ndwandwe, Loveness M Imaan, Charles S Wiysonge
2019 BMJ Open  
in PubMed, Scopus, African Journal Online, Web of Science and Google scholar to identify as many studies as possible.  ...  We will include eligible full-text studies published from 2002 in order to coincide with the establishment of the integrated disease surveillance and response system in Africa by WHO.  ...  Third, we use a data extraction tool specifically developed for the surveillance systems in USA to describe and assess the strength of surveillance systems in Africa.  ... 
doi:10.1136/bmjopen-2018-023335 pmid:30782704 pmcid:PMC6352753 fatcat:3sxsqejbp5aojnfn7iplmdjff4

Towards cross-lingual alerting for bursty epidemic events [article]

Nigel Collier
2011 arXiv   pre-print
Online news reports are increasingly becoming a source for event based early warning systems that detect natural disasters.  ...  Results: In this article we study the problem of utilising correlated event reports across languages.  ...  Introduction As electronic data expands, online reports are coming to represent a new modality in early warning surveillance for natural disasters such as epidemics [1] , typhoons and earthquakes [2,  ... 
arXiv:1110.3088v1 fatcat:sxlbjac5cnhvbj3rh5hk5lzp4a

Towards cross-lingual alerting for bursty epidemic events

Nigel Collier
2011 Journal of Biomedical Semantics  
Online news reports are increasingly becoming a source for eventbased early warning systems that detect natural disasters.  ...  Harnessing the massive volume of information available from multilingual newswire presents as many challanges as opportunities due to the patterns of reporting complex spatiotemporal events.  ...  Introduction As electronic data expands, online reports are coming to represent a new modality in early warning surveillance for natural disasters such as epidemics [1] , typhoons and earthquakes [2,  ... 
doi:10.1186/2041-1480-2-s5-s10 pmid:22166371 pmcid:PMC3239300 fatcat:7amaozsly5eetbrygljifwuihm

Review of software for space-time disease surveillance

Colin Robertson, Trisalyn A Nelson
2010 International Journal of Health Geographics  
Simulated data were used to review each of the software packages. SaTScan was found to be the best equipped package for use in an automated surveillance system.  ...  Automated data collection systems enable near-real time analysis of incoming data. This context places a heavy burden on software used for space-time surveillance.  ...  Acknowledgements This project was supported in part by the Teasdale-Corti Global Health Research Partnership Program, National Sciences and Engineering Research Council of Canada, and GeoConnections Canada  ... 
doi:10.1186/1476-072x-9-16 pmid:20226054 pmcid:PMC2848213 fatcat:pmuhmayf7fcsrpzxdxpa4qw7mm

Do Postmarketing Surveillance Studies Represent Real-World Populations?: A Comparison of Patient Characteristics and Outcomes After Carotid Artery Stenting

R. W. Yeh, K. Kennedy, J. A. Spertus, S. A. Parikh, R. Sakhuja, H. V. Anderson, C. J. White, K. Rosenfield
2011 Circulation  
Background-To evaluate outcomes after carotid artery stenting in larger real-world populations, the Food and Drug Administration mandated that companies conduct postmarketing surveillance (PMS) studies  ...  of approved stent systems.  ...  score models predicting inclusion in a PMS study conditioned on up to 41 covariates (see Table I in the online-only Data Supplement) using logistic regression.  ... 
doi:10.1161/circulationaha.110.991075 pmid:21422383 fatcat:qz4hspn3uva6znekxjarmkcdnu
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