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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Data mining in pharma sector: benefits.

Jayanthi Ranjan¹

¹Information Management and Technology Area, Institute of Management Technology, Ghaziabad, India. jranjan@imt.edu

International Journal of Health Care Quality Assurance

|March 17, 2009

Summary

This summary is machine-generated.

Data mining offers valuable insights for the pharmaceutical industry, enhancing drug discovery and delivery. This approach aids in identifying patterns within pharmaceutical data to improve decision-making processes.

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Area of Science:

Pharmaceutical Data Science
Knowledge Discovery in Databases

Background:

The pharmaceutical industry generates vast amounts of data.
Technological advancements are driving the adoption of data-enabled products and services.

Purpose of the Study:

To illustrate the utility of data mining in the pharmaceutical sector.
To demonstrate how data mining techniques can yield significant results.
To highlight data mining's role in enhancing decision-making with pharmaceutical data.

Main Methods:

This conceptual paper is based on secondary research, including reports and observations.
It outlines various patterns discoverable through data mining in pharmaceutical datasets.

Main Results:

Data mining proves beneficial for the pharmaceutical industry.
Specific data mining techniques can achieve positive outcomes in this sector.

Conclusions:

Conceptualization of data mining applications in pharma is presented.
Future research may involve primary studies applying data mining tools to pharmaceutical data.