scholarly journals Wikipedia Drug Safety Advisory Committee: Distilling a Drug Adverse Effect Reference Set Using Wisdom of the Crowd

2021 ◽  
Author(s):  
Yonatan Bilu ◽  
Chen Yanover
Keyword(s):  
Expert Knowledge ◽  
Drug Effects ◽  
Automatic Generation ◽  
Large Datasets ◽  
Medical Data ◽  
Adverse Drug Effects ◽  
Large Dataset ◽  
Large Size ◽  
Automatic Methods ◽  
Drug Adverse Effect

Large datasets of relational medical data, such as the adverse effects of drugs or vaccines, typically attain their large size, by relying on automatic, or semi-automatic, methods for generation. This often comes with a compromise on the precision of generated data, which can be at least partially alleviated by having experts curate the data. Since having experts review a large dataset can be costly and time consuming, here we suggest using Wikipedia for this task - that is, augment the automatic generation step by an automatic curation step based on the expert knowledge accumulated in Wikipedia. We use the method to curate two large adverse drug effects datasets, and show that the obtained datasets have a much higher precision relative to their originating ones.

Incidence rate of adverse drug effects in a hospital emergency unit and its associated factors

2010 ◽  
Vol 34 (6) ◽  
pp. 271-278
Author(s):  
S. Ramos Linares ◽  
P. DíazRuiz ◽  
J. Mesa Fumero ◽  
S. Núñez Díaz ◽  
M. Suárez González ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Associated Factors ◽  
Drug Effects ◽  
Emergency Unit ◽  
Adverse Drug Effects ◽  
Hospital Emergency

scholarly journals Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds

2017 ◽  
Vol 133 (2) ◽  
pp. 70-78 ◽  
Author(s):  
Mengxuan Gao ◽  
Hideyoshi Igata ◽  
Aoi Takeuchi ◽  
Kaoru Sato ◽  
Yuji Ikegaya
Keyword(s):  
Machine Learning ◽  
Drug Effects ◽  
Adverse Drug Effects

Pharmacognostic, Phytochemical and Therapeutic Overview of three Allied Herbs used in Dentistry

2021 ◽  
Vol 11 (2) ◽  
pp. 121-125
Author(s):  
Deepak Prashar ◽  
Khushboo Jasra
Keyword(s):  
Chemical Composition ◽  
Drug Effects ◽  
Present Review ◽  
Adverse Drug Effects ◽  
Therapeutic Role

The dental herbs are very much essential for the treatment of many dental problems. They can be used as such or in the form of dental formulations. These dental formulations of the herbs have enormous economical importance too. Apart from the pharmaco-therapeutic role the pharmacognostic and it’s chemical composition is also essential. These parameters help to modify the formulations and to overcome the adverse drug effects associated with these. The present review work tries to highlight the Pharmacognostic and Phytochemical aspects of three dental herbs.

Pharmaco-EcoMicrobiology and Its Potential Role in Medical and Environmental Sciences

2012 ◽  
pp. 291-302
Author(s):  
Mohd. Shahid ◽  
Hridesh Mishra ◽  
Hemant Kumar Mishra ◽  
Trivendra Tripathi ◽  
Haris M. Khan ◽  
...  
Keyword(s):  
Information Technologies ◽  
Antimicrobial Agents ◽  
Drug Effects ◽  
Pharmacy Education ◽  
World Health ◽  
Adverse Drug Effects ◽  
Pharmaceutical Industries ◽  
Health Organization

Despite the call of the World Health Organization (WHO) for “Pharmacovigilance,” i.e. the monitoring, detection, assessment, and prevention of any adverse reactions, poor attention has been given to identify the long term and short term Adverse Effects (ADEs) of antimicrobial agents on the environment. It is obvious that most of the health sectors across the globe are occupied by infectious diseases (e.g. tuberculosis, HIV, and hepatitis), and to combat such threats, the pharmaceutical industries are pouring tons of drugs and reagents into a market worth billions of dollars. The discharge of these products into the ecosystem is potentially a threat to the environment and human health. In this chapter, the authors depicted a recently described terminology, “Pharmaco-EcoMicrobiology” (PEcM), that could cover these problems and their possible solutions on medical and environmental aspects. In this regard, the role of pharmacoinformatics could also be crucial, since it can provide swift information for implementation and use of information technologies for the discovery and development of drugs as well as in pharmacy education and also the detection and combat of adverse drug effects.

Frequent Itemset Mining and Association Rules

2010 ◽  
pp. 343-353
Author(s):  
Susan Imberman ◽  
Abdullah Uz Uz Tansel
Keyword(s):  
Credit Card ◽  
Scientific Data ◽  
Large Datasets ◽  
Medical Data ◽  
Frequent Itemset ◽  
Knowledge Discovery In Databases ◽  
Mass Storage ◽  
Point Of Sale ◽  
Storage Devices ◽  
Itemset Mining

With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information. Knowledge Discovery in Databases (KDD) is a paradigm for the analysis of these large datasets. KDD uses various methods from such diverse fields as machine learning, artificial intelligence, pattern recognition, database management and design, statistics, expert systems, and data visualization.

Sign in / Sign up

Export Citation Format

Share Document