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A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

Md Islam, Md Hasan, Xiaoyi Wang, Hayley Germack, Md Noor-E-Alam
2018 Healthcare  
However, analytics based on website and social media data has been increasing in recent years.  ...  Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a database search between 2005 and 2016.  ...  Researchers can take advantage of the popularity of social media and online forums for identifying adverse events.  ... 
doi:10.3390/healthcare6020054 pmid:29882866 pmcid:PMC6023432 fatcat:xkq4mkqbprabvipxnmcvk3hr6m

Online Healthcare Medium for Disease-Treatment using Modified ANN based Classification and Ranking

2020 International Journal of Engineering and Advanced Technology  
The fundamental purpose of the healthcare information medium in social networks is centered on ascertaining the opinions of several people regarding specific user queries.  ...  However, it is unfortunate that the time-honored finds its waterloo in locating the impending issue of deploying internet with a view to identify and generate appropriate conclusions regarding the specified  ...  , for mining adverse drug events from social media was intensely assessed by Jing Liu et al [20] .  ... 
doi:10.35940/ijeat.c6535.029320 fatcat:64b5mxnetzcwbe7lz25qdhtdvq

Survey of NLP in Pharmacology: Methodology, Tasks, Resources, Knowledge, and Tools [article]

Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva, Jovana Dobreva, Milos Jovanovik, Matej Klemen, Aleš Žagar, Marko Robnik-Šikonja
2022 arXiv   pre-print
It has been used extensively, from intelligent searches through thousands of medical documents to finding traces of adversarial drug interactions in social media.  ...  As our work shows, NLP is a highly relevant information extraction and processing approach for pharmacology.  ...  Acknowledgments This work is also based on COST Action CA18209 -NexusLinguarum "European network for Web-centred linguistic data science", supported by COST (European Cooperation in Science and Technology  ... 
arXiv:2208.10228v1 fatcat:76kwzhx53fbfpowwjie5neeicu

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images.  ...  The existing academic literature on building ADR or ADE (adverse drug event) risk prediction models focuses mainly on identifying risk factors for use in developing a risk scoring method [15] .  ... 
doi:10.5281/zenodo.7010718 fatcat:a4gzrvtkybdbpmycqmjkvryco4

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images.  ...  The existing academic literature on building ADR or ADE (adverse drug event) risk prediction models focuses mainly on identifying risk factors for use in developing a risk scoring method [15] .  ... 
doi:10.5281/zenodo.7039276 fatcat:dyorjakurnaxxgvgoojcbpyd5a

a need to know

William A. Spencer, Larry R. Gettman, H. H. Bridge, Allan J. Ryan
1983 Physician and sportsmedicine  
An Improved Method for Constructing an Upper Confidence Limit for Proportion of Nonconformance in Normal Processes-FYanling Zuo, Minitab 311 CC-W194a n All About Binary and Binomial Data- Contributed  ...  Practical Considerations in Analyzing Adverse Events with a Robust Mixture Prior-FJerry Weaver, Celgene; Jixian Wang, Celgene 11:20 a.m.  ...  Professional Development This year marks the centennial of Statistics of Income (SOI), a principal Federal statistical agency responsible for the statistical policies and programs of the U.S.  ... 
doi:10.1080/00913847.1983.11708423 pmid:27409254 fatcat:7rlbreoerngb3epmighz7l5vr4

Using text mining of FDA reports to inform early signal detection of cardiovascular lead recalls [article]

Lisa Garnsey Ensign
2021
The Food and Drug Administration (FDA) 's Manufacturer and User Facility Device Experience (MAUDE) spontaneous reporting systems (SRS) database provides information about product-related adverse events  ...  SAS: a suite of software programs used for data management and analysis. Signal: a relationship between a product and adverse event that is strong enough to warrant further evaluation.  ...  adverse drug reactions (pharmacovigilance) in SRS databases.  ... 
doi:10.25677/myd5-jw86 fatcat:n7bk5awzxncenetu6ba7a37eye