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Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database [article]

Yihui Liu, Uwe Aickelin
2014 arXiv   pre-print
Feature matrix, which is extracted from big medical data from The Health Improvement Network (THIN) database, is created to characterize the medical events for the patients who take drugs.  ...  Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market.  ...  In this paper we propose a novel approach using feature matrix to detect ADRs from The Health Improvement Network (THIN) database.  ... 
arXiv:1409.0775v1 fatcat:p6lx5sjidjeahkd7peoyr2nwd4

Feature Selection in Detection of Adverse Drug Reactions from the Health Improvement Network (THIN) Database

Yihui Liu, Uwe Aickelin
2015 Social Science Research Network  
Feature matrix, which is extracted from high-throughput medical data from The Health Improvement Network (THIN) database, is created to characterize the medical events for the patients who take drugs.  ...  Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market.  ...  The extraction of feature matrix To detect the ADRs of drugs, first feature matrix is extracted from THIN database, which describes the medical events that patients occur before or after taking drugs.  ... 
doi:10.2139/ssrn.2823223 fatcat:ab3ol4etoreivodihzhdmvkjay

Feature Selection in Detection of Adverse Drug Reactions from the Health Improvement Network (THIN) Database

Yihui Liu, Uwe Aickelin
2015 International Journal of Information Technology and Computer Science  
Feature matrix, which is extracted from high-throughput medical data from The Health Improvement Network (THIN) database, is created to characterize the medical events for the patients who take drugs.  ...  Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market.  ...  The extraction of feature matrix To detect the ADRs of drugs, first feature matrix is extracted from THIN database, which describes the medical events that patients occur before or after taking drugs.  ... 
doi:10.5815/ijitcs.2015.03.10 fatcat:h33qds3qwnaqjb3powrqre4hnm

Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data

Jenna M. Reps, Uwe Aickelin
2014 Social Science Research Network  
A note on versions: The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version.  ...  Please see the repository url above for details on accessing the published version and note that access may require a subscription. For more information, please contact eprints@nottingham.ac.uk  ...  System (FAERS) data [7] to complement the analysis applied to a UK general practice database known as The Health Improvement Network (THIN) database (www.thin-uk.com) [8] .  ... 
doi:10.2139/ssrn.2828031 fatcat:wq4eiqhngja4djjsh5perkikqu

Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data

Jenna M. Reps, Uwe Aickelin
2014 2014 IEEE International Conference on Data Mining Workshop  
In this paper we combine a measure of association derived from mining a spontaneous reporting system database to previously proposed analysis that extracts domain expertise features for causal analysis  ...  The results show that there is a significant improvement to the performance of detecting prescription drug side effects when the longitudinal observation data analysis is complemented by incorporating  ...  System (FAERS) data [7] to complement the analysis applied to a UK general practice database known as The Health Improvement Network (THIN) database (www.thin-uk.com) [8] .  ... 
doi:10.1109/icdmw.2014.54 dblp:conf/icdm/RepsA14 fatcat:2ygh2kse65gzxcvlemlc5numcu

Cardiotoxicity in Biological Agent-Targeted Therapy for Rheumatoid Arthritis: ADR Signal Mining and Analysis of Food and Drug Administration Adverse Event Reporting System Database

Xiaoyan Tang, Xiaolin Xu, Ji Li, Bin Zhao
2021 Frontiers in Pediatrics  
, adalimumab, tocilizumab, and etanercept were used to mine data from the FDA's adverse event reporting system (FAERS) database from January 1, 2004 through September 30, 2020.  ...  for RA as the suspect drugs in this study, 317 reports of abatacept, 2,137 reports of adalimumab, 273 reports of tocilizumab, and 1,242 reports of etanercept.  ...  ACKNOWLEDGMENTS This study was assisted by many clinical pharmacists and physicians, as well as guided by many experts in the fields of pharmacy, clinical medicine, and statistics.  ... 
doi:10.3389/fped.2021.716648 pmid:34712629 pmcid:PMC8546333 fatcat:6utsyrxxh5bipdw4qx2pa4ak3e

Detect adverse drug reactions for drug Atorvastatin [article]

Yihui Liu, Uwe Aickelin
2013 arXiv   pre-print
In this paper we propose feature selection approach to detect ADRs from The Health Improvement Network (THIN) database.  ...  Adverse drug reactions (ADRs) are big concern for public health. ADRs are one of most common causes to withdraw some drugs from markets.  ...  In this paper we propose feature selection approach to detect ADRs from The Health Improvement Network (THIN) database.  ... 
arXiv:1308.6697v1 fatcat:ajonqm7wabbsliewskrk3dg5ly

Detect adverse drug reactions for the drug Pravastatin

Yihui Liu, Uwe Aickelin
2012 2012 5th International Conference on BioMedical Engineering and Informatics  
Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market.  ...  In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Pravastatin.  ...  But their methods achieve low accuracies for detecting ADRs. In this paper we propose feature selection approach to detect ADRs from The Health Improvement Network (THIN) database.  ... 
doi:10.1109/bmei.2012.6512991 dblp:conf/bmei/LiuA12 fatcat:k6f3c2kkqzhapieaevh3bayv5a

Detect adverse drug reactions for the drug Pravastatin [article]

Yihui Liu, Uwe Aickelin
2013 arXiv   pre-print
Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market.  ...  In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Pravastatin.  ...  But their methods achieve low accuracies for detecting ADRs. In this paper we propose feature selection approach to detect ADRs from The Health Improvement Network (THIN) database.  ... 
arXiv:1307.1466v1 fatcat:ncrop6asivchrl6bu2ijr4iysq

DEEP LEARNING PREDICTION OF ADVERSE DRUG REACTION ANALYSIS USING ARTIFICIAL NEURAL NETWORK MODEL

Mrs. K.E. Eswari, M.C.A., M.Phil., M.E., SET., R. Sarathkumar
2022 Zenodo  
Moreover, our project aims in finding the percent of adversity of the drug reaction.  ...  In medical domain, Adverse Drug Reaction (ADR) analysis is a crucial process for doctors and medical scientists.Adverse drug reaction measures the injury occurred due to usage of a drug.  ...  We present a feature selection strategy for detecting ADRs in The Health Improvement Network (THIN)database in this research.  ... 
doi:10.5281/zenodo.6410023 fatcat:tgde2afihnf5fdswonahmycf6q

Detect Adverse Drug Reactions for Drug Simvastatin

Yihui Liu, Uwe Aickelin
2012 2012 Fourth International Conference on Multimedia Information Networking and Security  
FEATURE MATRIX AND FEATURE SELECTION Abstract-Adverse drug reaction (ADR) is widely concerned for public health issue.  ...  In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Simvastatin.  ...  In this paper we propose feature selection approach to detect ADRs from The Health Improvement Network (THIN) database.  ... 
doi:10.1109/mines.2012.101 fatcat:4zrgrgjvnbdqzgngpawtp7vdge

Application of a Self-Controlled Case Series Study to a Database Study in Children

Hanae Ueyama, Shiro Hinotsu, Shiro Tanaka, Hisashi Urushihara, Masaki Nakamura, Yuji Nakamura, Koji Kawakami
2014 Drug Safety  
Methods: Datasets of only individuals who had the outcome of interest were derived from an anonymized hospital administrative database in Japan from April 2003 through August 2011.  ...  In addition, using electronic databases for monitoring of safety of marketed products has been of considerable interest.  ...  In fact, large-scale databases, such as The Clinical Practice Research Datalink (CPRD) [6] and The Health Improvement Network (THIN) [7] in the UK and i3 Drug Safety [8] in the US, have been successfully  ... 
doi:10.1007/s40264-014-0148-9 pmid:24652448 fatcat:z7p6pnejlfbpbhhrefo27vwdxu

Detect adverse drug reactions for drug Alendronate [article]

Yihui Liu, Uwe Aickelin
2013 arXiv   pre-print
Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection.  ...  The experiments are carried out on the drug Simvastatin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods.  ...  In this paper we propose feature selection approach to detect ADRs from The Health Improvement Network (THIN) database.  ... 
arXiv:1307.1394v1 fatcat:tecogwxucrfoxctvnezdzgafze

Detect adverse drug reactions for drug Pioglitazone [article]

Yihui Liu, Uwe Aickelin
2013 arXiv   pre-print
The feature selection method of Student's t-test is used to detect the significant features from thousands of medical events.  ...  A feature matrix, which characterizes the medical events before patients take drugs or after patients take drugs, is created from THIN database.  ...  In this paper we propose feature selection approach to detect ADRs from The Health Improvement Network (THIN) database.  ... 
arXiv:1308.5144v1 fatcat:axvr6zvpmjhrtctzmvw3rvfhzm

The Role of European Healthcare Databases for Post-Marketing Drug Effectiveness, Safety and Value Evaluation: Where Does Italy Stand?

Gianluca Trifirò, Rosa Gini, Francesco Barone-Adesi, Ettore Beghi, Anna Cantarutti, Annalisa Capuano, Carla Carnovale, Antonio Clavenna, Mirosa Dellagiovanna, Carmen Ferrajolo, Matteo Franchi, Ylenia Ingrasciotta (+17 others)
2018 Drug Safety  
Real-world data can be collected in various types of electronic sources, such as electronic health records, claims databases and drug or disease registries.  ...  In Italy, a growing number of healthcare databases have been used to evaluate post-marketing drug utilisation and safety in the last two decades.  ...  ICD-10 coding, which may be more appropriate for detecting adverse drug reactions, is rarely used in Italian data sources.  ... 
doi:10.1007/s40264-018-0732-5 pmid:30269245 fatcat:e4ivripky5hkfblmj7jo2cauki
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