[PDF][PDF] Adverse drug reactions extraction from social media: a systematic review

A Dey, J Shrivastava, C Kumar… - … International Journal of …, 2022 - academia.edu
The objective of this study is to observe the importance of social media in automatic
extraction of Adverse Drug Reactions (ADRs) from different medical forum, social media like …

DMRNet: Effective Network for Accurate Discharge Medication Recommendation

J Shi, Y Wang, C Zhang, Z Luo, C Chai… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Electronic Health Records, which contain abundant structured data information of the
patients, can help clinicians and data scientists address complex medical issues, particularly …

Diva: Exploration and validation of hypothesized drug‐drug interactions

T Kakar, X Qin, EA Rundensteiner… - Computer Graphics …, 2019 - Wiley Online Library
Adverse reactions caused by drug‐drug interactions are a major public health concern.
Currently, adverse reaction signals are detected through a tedious manual process in which …

Clustering-based hybrid approach for identifying quantitative multidimensional associations between patient Attributes, drugs and adverse drug reactions

Yogita, JW Sangma, SRN Anal, V Pal - … Sciences: Computational Life …, 2020 - Springer
The activity of post-marketing surveillance results in a collection of large amount of data. The
analysis of data is very useful for raising early warnings on possible adverse reactions of …

Drug-drug interaction signal detection from drug safety reports

B Zylich, B McCarthy, A Schade, H Tran… - 2018 IEEE MIT …, 2018 - ieeexplore.ieee.org
Hundreds of thousands of patients report adverse reactions from using one or more drugs
each year. It is impossible to test every drug combination in clinical trials before a drug …

[PDF][PDF] Visual Analytics for Multi-Level Triage and Investigation of Incident Reports

T Kakar - 2020 - digital.wpi.edu
Regulatory agencies in domains from health-care, finance, and aviation receive a large
number of incident reports related to the products or services being overseen. Analysts at …

[PDF][PDF] Sequential Data Mining and its Applications to Pharmacovigilance

X Qin - 2019 - researchgate.net
With the phenomenal growth of digital devices coupled with their ever-increasing
capabilities of data generation and storage, sequential data is becoming more and more …