Signaling drug adverse effects in spontaneous reporting systems: A high utility itemset mining approach

2020 ◽  
Author(s):  
B Anup Bhat ◽  
S V Harish ◽  
M Geetha
Keyword(s):  
Adverse Effects ◽  
Spontaneous Reporting ◽  
Itemset Mining ◽  
Reporting Systems ◽  
Drug Adverse Effects ◽  
High Utility

A predictive GA-based model for closed high-utility itemset mining

2021 ◽  
pp. 107422
Author(s):  
Jerry Chun-Wei Lin ◽  
Youcef Djenouri ◽  
Gautam Srivastava ◽  
Unil Yun ◽  
Philippe Fourier-Viger
Keyword(s):  
Itemset Mining ◽  
High Utility

High-utility and diverse itemset mining

2021 ◽  
Author(s):  
Amit Verma ◽  
Siddharth Dawar ◽  
Raman Kumar ◽  
Shamkant Navathe ◽  
Vikram Goyal
Keyword(s):  
Itemset Mining ◽  
High Utility

scholarly journals Dynamic maintenance model for high average-utility pattern mining with deletion operation

2021 ◽  
Author(s):  
Jimmy Ming-Tai Wu ◽  
Qian Teng ◽  
Shahab Tayeb ◽  
Jerry Chun-Wei Lin
Keyword(s):  
Pattern Mining ◽  
Computational Cost ◽  
Practical Applications ◽  
Itemset Mining ◽  
Dynamic Databases ◽  
Speed Up ◽  
Dynamic Maintenance ◽  
Average Utility ◽  
High Utility ◽  
Maintenance Model

AbstractThe high average-utility itemset mining (HAUIM) was established to provide a fair measure instead of genetic high-utility itemset mining (HUIM) for revealing the satisfied and interesting patterns. In practical applications, the database is dynamically changed when insertion/deletion operations are performed on databases. Several works were designed to handle the insertion process but fewer studies focused on processing the deletion process for knowledge maintenance. In this paper, we then develop a PRE-HAUI-DEL algorithm that utilizes the pre-large concept on HAUIM for handling transaction deletion in the dynamic databases. The pre-large concept is served as the buffer on HAUIM that reduces the number of database scans while the database is updated particularly in transaction deletion. Two upper-bound values are also established here to reduce the unpromising candidates early which can speed up the computational cost. From the experimental results, the designed PRE-HAUI-DEL algorithm is well performed compared to the Apriori-like model in terms of runtime, memory, and scalability in dynamic databases.

scholarly journals Detection of dechallenge in spontaneous reporting systems: A comparison of Bayes methods

2014 ◽  
Vol 46 (3) ◽  
pp. 277 ◽  
Author(s):  
ABazila Banu ◽  
SAppavu Alias Balamurugan ◽  
Ponniah Thirumalaikolundusubramanian
Keyword(s):  
Spontaneous Reporting ◽  
Bayes Methods ◽  
Reporting Systems

A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions

2002 ◽  
Vol 11 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Eug�ne P. van Puijenbroek ◽  
Andrew Bate ◽  
Hubert G. M. Leufkens ◽  
Marie Lindquist ◽  
Roland Orre ◽  
...  
Keyword(s):  
Signal Detection ◽  
Adverse Drug Reactions ◽  
Spontaneous Reporting ◽  
Drug Reactions ◽  
Reporting Systems
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