SMER: A Novel Medical Entity Recognition Technique based on ScispaCy(BC5CDR) and Med7-Reference-Cited by-同舟云学术

SMER: A Novel Medical Entity Recognition Technique based on ScispaCy(BC5CDR) and Med7

Published:2023-11-23 Issue: Volume:44 Page:1-6
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
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Author:

Gupta Rashmi¹^ORCID,Agarwal Tushar²^ORCID,Mehlawat Aviral²^ORCID,Mathur Deeksha²^ORCID,Somwanshi Devendra Kumar³^ORCID,Kumar Anil⁴^ORCID

Affiliation:

1. CSE, Amity University Haryana, India

2. Amity School of Engineering and Technology, Amity University Haryana, India

3. Electronics & Communication Engineering, Poornima College of Engineering, India

4. Department of Computer Engineering, Poornima Institute of Engineering and Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647946

Reference12 articles.

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2. Hu, Min &Asami, Chikashi&Iwakura, Hiroshi & Nakajima, Yasuyo&Sema, Ryousuke& Kikuchi, Tsuyoshi & Miyata, Tsuyoshi &Sakamaki, Koji & Kudo, Takumi & Yamada, Masanobu &Akamizu, Takashi &Sakakibara, Yasubumi. (2022). Development and preliminary validation of a machine learning system for thyroid dysfunction diagnosis based on routine laboratory tests. Communications Medicine. 2. 10.1038/s43856-022-00071-1.

3. Calculating Diagnose Odd Ratio for Thyroid Patients using Different Data Mining Classifiers and Ensemble Techniques

4. Effective K-Nearest Neighbor Algorithms Performance Analysis of Thyroid Disease;Ur Rehman Abbad;Journal of the Chinese Institute of Engineers.,2020

5. Effective Voting Ensemble of Homogenous Ensembling with Multiple Attribute-Selection Approaches for Improved Identification of Thyroid Disorder