Data Mining
Diverse field that has fuzzy and overlapping boundaries with the field of statistics.
Diverse field that has fuzzy and overlapping boundaries with the field of statistics.
Text Mining Translate narratives and texts into numeric data that can be processed and analyzed by computers
Data Mining
Although many of the algorithms and models offer a great deal of promise to help find patterns associated with patient disease and response to treatments, it is always important for clinical experts to drive the study and evalaute the results.
Some examples of interesting approaches include:
Text mining can be applied to any form of human text; clinical notes, web narratives, books, or knowledge repositories.
In the future, many health informatics experts hope that electronic health records are structured to capture data into machine readable formats such as codes and standardized strings. Yet, narrative texts will remain important to physcians for years to come, so it will be important to continue to find ways to process natural language.
Although many of the algorithms and models offer a great deal of promise to help find patterns associated with patient disease and response to treatments, it is always important for clinical experts to drive the study and evalaute the results.
Some examples of interesting approaches include:
- Cluster analysis
- Association rules
- Neural networks
- Descision trees
- Dimension reduction techniques
Text mining can be applied to any form of human text; clinical notes, web narratives, books, or knowledge repositories.
In the future, many health informatics experts hope that electronic health records are structured to capture data into machine readable formats such as codes and standardized strings. Yet, narrative texts will remain important to physcians for years to come, so it will be important to continue to find ways to process natural language.
