Natural Language Processing applied to anamnesis in the field of gynecology
Main Article Content
Abstract
The volume of information produced both in medical research and in clinical practice have required, since much time, the application of computational resources. An important source of real data, which is relevant for research, in addition to being essential for the management of health units, is the set of healthcare patient records of a hospital. Natural language processing (PLN) techniques consist of an important alternative to address this dynamic source in which new data is constantly recorded. The present research is conduct in this context, exhibiting an initiative to extract data from patient’s records in a large hospital using PLN techniques. To reach our goals, we present background information about such techniques, in adddition to methodological steps and partial results of the extraction conducted in the field of gynecology.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
From: https://creativecommons.org/licenses/by/4.0/
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
- You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
- No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.