An Efficient Selective Features Approach to Detect Hypothyroid Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9704-6_26
Reference10 articles.
1. Chaganti R, Rustam F, De La Torre Díez I, Mazón JLV, Rodríguez CL, Ashraf I (2022) Thyroid disease prediction using selective features and machine learning techniques. Cancers 14:3914
2. Aversanoa L, Bernardia ML, Cimitileb M, Iammarinoa M, Macchiac PE, Nettore IC, Verdonea C (2021) Thyroid disease treatment prediction with machine learning approaches. ScienceDirect Proc Comput Sci 192:1031–1040
3. Alya T, Hamid M, Alissa K, Faiz T, Tabassum N, Ahmad A (2022) Empirical method for thyroid disease classification using a machine learning approach. BioMed Res Int 2022. Article ID 9809932
4. Riajuliislam M, Rahim KZ, Mahmud A (2021) Prediction of thyroid disease (hypothyroid) in early stage using feature selection and classification techniques. In: 2021 international conference on information and communication technology for sustainable development (ICICT4SD). 978-1-6654-1460-9/21
5. Vasan CRC, Chethan MS, Devikarani HS (2021) thyroid detection using machine learning. Int J Eng Appl Sci Technol 5(9):173–177, ISSN No 2455-2143
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