scholarly journals Data Quality in HL7 Messages -- A Real Case Analysis

2015 ◽  
Author(s):  
Ricardo Jorge Teixeira Ferreira ◽  
Manuel Eduardo Carvalho Duarte Correia ◽  
Francisco Nuno Rocha Goncalves ◽  
Ricardo Joao Cruz Correia
Keyword(s):  
Data Quality ◽  
Case Analysis ◽  
Real Case

scholarly journals Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis

10.2196/18350 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e18350 ◽  
Author(s):  
Tareq Nasralah ◽  
Omar El-Gayar ◽  
Yong Wang
Keyword(s):  
Social Media ◽  
Drug Abuse ◽  
Data Quality ◽  
Prescription Drugs ◽  
Case Analysis ◽  
Media Content ◽  
Opioid Epidemic ◽  
Social Media Data ◽  
Social Media Text ◽  
Media Data

Background Social media are considered promising and viable sources of data for gaining insights into various disease conditions and patients’ attitudes, behaviors, and medications. They can be used to recognize communication and behavioral themes of problematic use of prescription drugs. However, mining and analyzing social media data have challenges and limitations related to topic deduction and data quality. As a result, we need a structured approach to analyze social media content related to drug abuse in a manner that can mitigate the challenges and limitations surrounding the use of such data. Objective This study aimed to develop and evaluate a framework for mining and analyzing social media content related to drug abuse. The framework is designed to mitigate challenges and limitations related to topic deduction and data quality in social media data analytics for drug abuse. Methods The proposed framework started with defining different terms related to the keywords, categories, and characteristics of the topic of interest. We then used the Crimson Hexagon platform to collect data based on a search query informed by a drug abuse ontology developed using the identified terms. We subsequently preprocessed the data and examined the quality using an evaluation matrix. Finally, a suitable data analysis approach could be used to analyze the collected data. Results The framework was evaluated using the opioid epidemic as a drug abuse case analysis. We demonstrated the applicability of the proposed framework to identify public concerns toward the opioid epidemic and the most discussed topics on social media related to opioids. The results from the case analysis showed that the framework could improve the discovery and identification of topics in social media domains characterized by a plethora of highly diverse terms and lack of a commonly available dictionary or language by the community, such as in the case of opioid and drug abuse. Conclusions The proposed framework addressed the challenges related to topic detection and data quality. We demonstrated the applicability of the proposed framework to identify the common concerns toward the opioid epidemic and the most discussed topics on social media related to opioids.

Ferroresonance in subharmonic 3rd mode in an inductive voltage transformer, a real case analysis

2014 ◽  
Vol 61 ◽  
pp. 318-325 ◽  
Author(s):  
Miguel A. Olguín-Becerril ◽  
Cesar Angeles-Camacho ◽  
Claudio R. Fuerte-Esquivel
Keyword(s):  
Case Analysis ◽  
Real Case ◽  
Voltage Transformer

Scan Chain Bridge Defect on a 28 nm Technology Node Circuit, Localization Using Dynamic Power Supplies

2012 ◽  
Author(s):  
Thierry Parrassin ◽  
Emmanuel Petit ◽  
Guillaume Celi ◽  
Yann Mousseau ◽  
Sylvain Dudit
Keyword(s):  
Power Supply ◽  
Case Analysis ◽  
Relevant Information ◽  
Power Supplies ◽  
Real Case ◽  
Optical Techniques ◽  
Technology Node ◽  
Additional Information ◽  
Defect Localization ◽  
Scan Chain

Abstract The bridge defect is one of the most difficult defects to locate. When classical static and dynamic optical techniques reach their limits, applying a dynamic signal on the power supplies for stimulating the defect allows obtaining useful additional information helping the localization. In this paper, we explore these techniques on a real case analysis of bridge defect in a scan chain on a 28nm technology node circuit. We will show that OBIRCH, LVI, static & dynamic EMMI do not give significant signatures for the defect localization. Finally we show that EMMI and LVI signatures applying a clock on the power supply bring relevant information to locate efficiently the defect.

scholarly journals Social Media Text Mining Framework for Drug Abuse: An Opioid Crisis Case Analysis (Preprint)

2020 ◽  
Author(s):  
Tareq Nasralah ◽  
Omar El-Gayar ◽  
Yong Wang
Keyword(s):  
Social Media ◽  
Drug Abuse ◽  
Data Quality ◽  
Prescription Drugs ◽  
Case Analysis ◽  
Media Content ◽  
Opioid Epidemic ◽  
Social Media Data ◽  
Abuse Case ◽  
Media Data

BACKGROUND Social media is considered a promising and viable source of data for gaining insights into various disease conditions, patients’ attitudes, behaviors, and medications. It can be used to recognize communication and behavioral themes of problematic use of prescription drugs. However, mining and analyzing social media data have challenges and limitations related to topic deduction and data quality. As a result, we need a structured approach to analyze social media content related to drug abuse in a manner that can mitigate challenges and limitations surrounding the use such data. OBJECTIVE The objective of this research was to develop and evaluate a framework for mining and analyzing social media content related to drug abuse. The framework is designed to mitigate challenges and limitations related to topic deduction and data quality in social media data analytics for drug abuse. METHODS The proposed framework starts with defining different terms related to keywords, categories, and characteristics of the topic of interest. Next, we used Crimson Hexagon to collect data based on a search query that is informed by a drug abuse ontology developed using the identified terms. Then, we preprocessed the data and examined it’s quality using an evaluation matrix. Finally, suitable data analysis approach could be used to analyze the collected data. RESULTS The framework was evaluated using the opioid epidemic as a drug abuse case analysis. We demonstrated the applicability of the proposed framework to identify public concerns toward the opioid epidemic and the most discussed topics on social media that relate to opioids. Results from the case analysis showed that the framework could improve the discovery and identification of topics on social media domains characterized by a plethora of highly diverse terms and a lack of commonly available dictionary/language by the community such as in the opioid and drug abuse case. CONCLUSIONS The proposed framework addressed challenges related to topic detection and data quality. We demonstrated the applicability of the proposed framework to identify the common concerns toward the opioid epidemic and the most discussed topics on social media related to opioids. CLINICALTRIAL

Sign in / Sign up

Export Citation Format

Share Document