Thyroid Prediction Using Machine Learning Techniques

Author:

Raisinghani Sagar,Shamdasani Rahul,Motwani Mahima,Bahreja Amit,Raghavan Nair Lalitha Priya

Publisher

Springer Singapore

Reference11 articles.

1. Rao, N., Razia, S.: Machine learning techniques for thyroid disease diagnosis. Indian J. Sci. Technol. 9(28) (2016). https://doi.org/10.17485/ijst/2016/v9i28/93705

2. Prerana, P.S., Taneja, K.: Predictive data mining for diagnosis of thyroid disease using neural network. Int. J. Res. Manag. Sci. Technol. 3(2), 75–80 (2015). E-ISSN: 2321-3264

3. Umadevi, S., JeenMarseline, K.S.: Applying classification algorithms to predict thyroid disease. Int. J. Eng. Sci. Comput. 7(10), 15118–15120 (2017)

4. Ammulu, K., Venugopal, T.: Thyroid data prediction using data classification algorithm. Int. J. Innov. Res. Sci. Technol. 4(2), 208–212 (2017)

5. Ahmed, J., Abdul Rehman Soomrani, M.: TDTD: Thyroid Disease Type Diagnostics. In: 2016, International Conference on Intelligent Systems Engineering (ICISE) (2016). https://doi.org/10.1109/INTELSE.2016.7475160

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Computing Approach to Detect the Factors and their Impact in Prevalence of Thyroid;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

2. SSC: The novel self-stack ensemble model for thyroid disease prediction;PLOS ONE;2024-01-03

3. A comparative study on machine learning approaches for diagnosis of thyroid disease;AIP Conference Proceedings;2024

4. A comparative study of thyroid data classification based on GA, BPSO, and ACO metaheuristics approaches;International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023);2023-12-20

5. Machine Learning Approaches for Early Identification of Thyroid Disease;2023 World Conference on Communication & Computing (WCONF);2023-07-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3