Abstract
This chapter covers a wholesome approach for realizing patterns in medical records by executing a linear discriminant analysis model. You’ll learn what medical records are and then you’ll learn a technique of cleansing textual data by executing fundamental methods like regularization and TfidfVectorizer. Afterward, you’ll execute a method to classify the medical specialty and assess the extent to which it segregates classes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
Nokeri, T.C. (2022). Medical Records Categorization. In: Artificial Intelligence in Medical Sciences and Psychology. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-8217-5_8
Download citation
DOI: https://doi.org/10.1007/978-1-4842-8217-5_8
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-8216-8
Online ISBN: 978-1-4842-8217-5
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)