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Call for Papers:Vol.11 Issue.3

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Title: :  REVIEW ON MACHINE LEARNING
PaperId: :  24729
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 4 2024
DUI:    16.0415/IJARIIE-24729
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
BHUMIKA S KAlvas Institute of Engineering and Technology
ANKITHA BAlvas Institute of Engineering and Technology
BHAGYASHREE R PAlvas Institute of Engineering and Technology
BHARATH JAlvas Institute of Engineering and Technology

Abstract

artificial intelligence
Artificial Intelligence, Machine Learning,
Numerous real-world data sources are made available by the extensive usage of electronic health record (EHR) systems in the medical field, opening up new directions for clinical research. Due to the fact that clinical narratives in electronic health records include a significant quantity of important clinical information, natural language processing (NLP) techniques have been employed as an artificial intelligence strategy to extract information from them. However, much clinical facts are still concealed in a clinical narrative structure in free-form texts like electronic health records. Consequently, to fully utilize EHR data and automatically transform clinical narrative text into structured clinical data, biomedical NLP algorithms must be used. Biomedical NLP applications might thus be utilized to guide clinical judgments, recognize health issues, and successfully prevent or delay the onset of a disease. This review analyzes the possibilities, difficulties, and uses of biomedical natural language processing (NLP) techniques and examines the literature that is currently available on the secondary use of electronic health record data for clinical research on chronic diseases. We provide an overview of machine learning and deep learning techniques used to process EHRs and enhance the comprehension of the patient's clinical records and the prediction of chronic disease risk. These techniques offer a great opportunity to extract previously undiscovered clinical information. We also review some of the biomedical NLP systems and methods used over EHRs. Additionally, based on EHR data relevant to chronic diseases, this research describes the application of Deep Learning and Machine Learning algorithms in biomedical NLP applications. In conclusion, this evaluation showcases the future trends and challenges in the biomedical NLP. INDEX TERMS: machine learning, natural language processing (NLP), clinical data, deep learning, artificial intelligence (AI), and electronic health records (EHR).

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IJARIIE BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J. "REVIEW ON MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 4 2024 Page 2044-2054
MLA BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J. "REVIEW ON MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10.4(2024) : 2044-2054.
APA BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, & BHARATH J. (2024). REVIEW ON MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 10(4), 2044-2054.
Chicago BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J. "REVIEW ON MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 4 (2024) : 2044-2054.
Oxford BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J. 'REVIEW ON MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 4, 2024, p. 2044-2054. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/REVIEW_ON_MACHINE_LEARNING_ijariie24729.pdf (Accessed : ).
Harvard BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J. (2024) 'REVIEW ON MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 10(4), pp. 2044-2054IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/REVIEW_ON_MACHINE_LEARNING_ijariie24729.pdf (Accessed : )
IEEE BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J, "REVIEW ON MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 4, pp. 2044-2054, Jul-Aug 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/REVIEW_ON_MACHINE_LEARNING_ijariie24729.pdf [Accessed : ].
Turabian BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J. "REVIEW ON MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 4 ().
Vancouver BHUMIKA S K, ANKITHA B, BHAGYASHREE R P, and BHARATH J. REVIEW ON MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(4) : 2044-2054. Available from: https://ijariie.com/AdminUploadPdf/REVIEW_ON_MACHINE_LEARNING_ijariie24729.pdf
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