scholarly journals Predicting the presence of drug-adverse event pairs in discharge summaries

2020 ◽  
Author(s):  
Sreemanee Dorajoo ◽  
Tham Mun Yee ◽  
Tan Hui Xing ◽  
Sally Soh ◽  
Tan Siew Har ◽  
...  
Keyword(s):  
Adverse Event ◽  
Drug Adverse Event ◽  
Discharge Summaries

scholarly journals Predicting the presence of drug-adverse event pairs in discharge summaries

2020 ◽  
Author(s):  
Tan Xing ◽  
Sreemanee Dorajoo ◽  
Cynthia Sung ◽  
Desmond Teo ◽  
Tan Su Yin Doreen ◽  
...  
Keyword(s):  
Adverse Event ◽  
Drug Adverse Event ◽  
Discharge Summaries

Evaluation of Drug Adverse Event Intake and Reporting in a Medical Information Service

2011 ◽  
Vol 45 (6) ◽  
pp. 767-773 ◽  
Author(s):  
Pamela D. Allen ◽  
Robert J. Fuentes ◽  
Michael J. Hoopes ◽  
Greg Susla
Keyword(s):  
Adverse Event ◽  
Medical Information ◽  
Information Service ◽  
Drug Adverse Event

scholarly journals A novel method for drug-adverse event extraction using machine learning

2019 ◽  
Vol 17 ◽  
pp. 100190 ◽  
Author(s):  
Kajal Negi ◽  
Arun Pavuri ◽  
Ladle Patel ◽  
Chirag Jain
Keyword(s):  
Machine Learning ◽  
Adverse Event ◽  
Event Extraction ◽  
Drug Adverse Event ◽  
Novel Method

scholarly journals Drug Adverse Event Detection in Health Plan Data Using the Gamma Poisson Shrinker and Comparison to the Tree-based Scan Statistic

Pharmaceutics ◽  
2013 ◽  
Vol 5 (4) ◽  
pp. 179-200 ◽  
Author(s):  
Jeffrey Brown ◽  
Kenneth Petronis ◽  
Andrew Bate ◽  
Fang Zhang ◽  
Inna Dashevsky ◽  
...  
Keyword(s):  
Adverse Event ◽  
Health Plan ◽  
Event Detection ◽  
Scan Statistic ◽  
Drug Adverse Event ◽  
Gamma Poisson Shrinker

Comparison Analysis on Medical Data Mining for Drug Suggestion

2016 ◽  
pp. 567-570
Author(s):  
Gandhi Jabakuma ◽  
W. Mercy
Keyword(s):  
Adverse Event ◽  
Safety Assessment ◽  
Back Reaction ◽  
Comparison Analysis ◽  
Medical Field ◽  
Drug Detection ◽  
Drug Adverse Event ◽  
Pharmaceutical Industries ◽  
The Impact ◽  
Dynamic Domain

The drug back reaction measurement is the most important part of the drug safety assessment. In the early days, the measurement is made by trailing the impact after the course of many examples. In the pharmaceutical industries, the most interesting research topic is adverse drug detection which rules the world. In the 21century , the data available in the medical field gave an important development in motivating of an adverse event. Recently, many people put forward the statistical data and also the mining methods which are largely implemented to detect the drug adverse event. In the following paper, we explain more methods explained by expert’s researchers in the dynamic domain of data.

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