{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T11:02:10Z","timestamp":1762254130233,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811666155"},{"type":"electronic","value":"9789811666162"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-16-6616-2_10","type":"book-chapter","created":{"date-parts":[[2022,4,23]],"date-time":"2022-04-23T12:03:01Z","timestamp":1650715381000},"page":"105-114","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Unsupervised Feature Selection Approaches for Medical Dataset Using Soft Computing Techniques"],"prefix":"10.1007","author":[{"given":"G.","family":"Jothi","sequence":"first","affiliation":[]},{"given":"J.","family":"Akilandeswari","sequence":"additional","affiliation":[]},{"given":"S.","family":"David Samuel Azariya","sequence":"additional","affiliation":[]},{"given":"A.","family":"Naveenkumar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,24]]},"reference":[{"issue":"3","key":"10_CR1","first-page":"4","volume":"13","author":"MA Jabbar","year":"2013","unstructured":"Jabbar, M.A., Deekshatulu, B.L., Chandra, P.: Classification of heart disease using artificial neural network and feature subset selection. Glob. J. Comput. Sci. Technol. Neural Artif. Intell. 13(3), 4\u20138 (2013)","journal-title":"Glob. J. Comput. Sci. Technol. Neural Artif. Intell."},{"key":"10_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/7310496","volume":"2018","author":"A Mustaqeem","year":"2018","unstructured":"Mustaqeem, A., Anwar, S.M., Majid, M.: Multiclass classification of cardiac arrhythmia using improved feature selection and SVM invariants. Comput. Math. Meth. Med. 2018, 1\u201311 (2018)","journal-title":"Comput. Math. Meth. Med."},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Sahoo, S., Subudhi, A., Dash, M., Sabut, S.: Automatic classification of cardiac arrhythmias based on hybrid features and decision tree algorithm. Int. J. Autom. Comput. 551\u2013561 (2020)","DOI":"10.1007\/s11633-019-1219-2"},{"issue":"4\u20135","key":"10_CR4","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/S0898-1221(99)00056-5","volume":"37","author":"D Molodtsov","year":"1999","unstructured":"Molodtsov, D.: Soft set theory\u2014first results. Comput. Math. Appl. 37(4\u20135), 19\u201331 (1999)","journal-title":"Comput. Math. Appl."},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Subanya, B., Rajalaxmi, R.R.: Feature selection using artificial bee colony for cardiovascular disease classification. In: 2014 International Conference on Electronics and Communication Systems (ICECS), pp. 1\u20136 (2014)","DOI":"10.1109\/ECS.2014.6892729"},{"issue":"4","key":"10_CR6","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s00521-005-0466-z","volume":"14","author":"N Ac\u0131r","year":"2005","unstructured":"Ac\u0131r, N.: Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm. Neural Comput. Appl. 14(4), 299\u2013309 (2005)","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"10_CR7","first-page":"54","volume":"5","author":"R Kirtania","year":"2015","unstructured":"Kirtania, R., Mali, K.: Cardiac arrhythmia classification using optimal feature selection and k-nearest neighbour classifier. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 5(1), 54\u201358 (2015)","journal-title":"Int. J. Adv. Res. Comput. Sci. Softw. Eng."},{"issue":"4","key":"10_CR8","first-page":"483","volume":"16","author":"LC Lin","year":"2014","unstructured":"Lin, L.C., Yeh, Y.C., Chu, T.Y.: Feature selection algorithm for ECG signals and its application on heartbeat case determining. Int. J. Fuzzy Syst. 16(4), 483\u2013496 (2014)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"16","key":"10_CR9","doi-asserted-by":"publisher","first-page":"4721","DOI":"10.1007\/s00500-016-2080-7","volume":"21","author":"SU Kumar","year":"2017","unstructured":"Kumar, S.U., Inbarani, H.H.: Neighborhood rough set based ECG signal classification for diagnosis of cardiac diseases. Soft. Comput. 21(16), 4721\u20134733 (2017)","journal-title":"Soft. Comput."},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.asoc.2018.01.040","volume":"65","author":"AK Das","year":"2018","unstructured":"Das, A.K., Sengupta, S., Bhattacharyya, S.: A group incremental feature selection for classification using rough set theory-based genetic algorithm. Appl. Soft Comput. 65, 400\u2013411 (2018)","journal-title":"Appl. Soft Comput."},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Sang, B., Chen, H., Yang, L., Li, T., Xu, W.: Incremental feature selection using a conditional entropy-based on fuzzy dominance neighborhood rough sets. IEEE Trans. Fuzzy Syst. 1\u201314 (2021)","DOI":"10.1109\/TFUZZ.2021.3064686"},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Kumar, S.S., Hannah Inbarani, H.: Modified soft rough set based ECG signal classification for cardiac arrhythmias. In: Big Data in Complex Systems, pp. 445\u2013470. Springer International Publishing (2015)","DOI":"10.1007\/978-3-319-11056-1_16"},{"issue":"10","key":"10_CR13","doi-asserted-by":"publisher","first-page":"2995","DOI":"10.1007\/s00521-016-2514-2","volume":"28","author":"J Ganesan","year":"2017","unstructured":"Ganesan, J., Inbarani, H.H., Azar, A.T., Polat, K.: Tolerance rough set firefly-based quick reduct. Neural Comput. Appl. 28(10), 2995\u20133008 (2017)","journal-title":"Neural Comput. Appl."},{"key":"10_CR14","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.patcog.2020.107517","volume":"107","author":"J Zhao","year":"2020","unstructured":"Zhao, J., Liang, J.M., Dong, Z.N., Tang, D.Y., Liu, Z.: Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes. Pattern Recogn. 107, 107\u2013117 (2020)","journal-title":"Pattern Recogn."},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Luz, E.J.D.S., Schwartz, W.R., C\u00e1mara, G., Menotti, D.: ECG-based heartbeat classification for arrhythmia detection: a survey. Comput. Meth. Programs Biomed. 127, 144\u2013164 (2016)","DOI":"10.1016\/j.cmpb.2015.12.008"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Gupta, V., Mittal, M.: Arrhythmia detection in ECG signal using fractional wavelet transform with principal component analysis. J. Inst. Eng. (India): Ser. B 101(5), 451\u2013461 (2020)","DOI":"10.1007\/s40031-020-00488-z"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Herawan, T., Deris, M.M.: On multi-soft sets construction in information systems. In: International Conference on Intelligent Computing, pp. 101\u2013110 (2009)","DOI":"10.1007\/978-3-642-04020-7_12"},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Herawan, T., Rose, A.N.M., Deris, M.M.: Soft set-theoretic approach for dimensionality reduction. In: International Conference on Database Theory and Application, pp. 171\u2013178 (2009)","DOI":"10.1007\/978-3-642-10583-8_20"},{"issue":"3","key":"10_CR19","first-page":"193","volume":"9","author":"C Velayutham","year":"2011","unstructured":"Velayutham, C., Thangavel, K.: Unsupervised quick reduct algorithm using rough set theory. J. Electr. Sci. Technol. 9(3), 193\u2013201 (2011)","journal-title":"J. Electr. Sci. Technol."},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Jothi, G., Inbarani, H.H.: Soft set-based quick reduct approach for unsupervised feature selection. In: 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), pp. 277\u2013281 (2012)","DOI":"10.1109\/ICACCCT.2012.6320786"},{"key":"10_CR21","unstructured":"Blake, C.: UCI Repository of Machine Learning Databases (1998)"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Rajinikanth, V., Satapathy, S.C., Dey, N., Fernandes, S.L., Manic, K.S.: Skin melanoma assessment using Kapur\u2019s entropy and level set\u2014a study with bat algorithm. In: Smart Intelligent Computing and Applications, 193\u2013202 (2019)","DOI":"10.1007\/978-981-13-1921-1_19"}],"container-title":["Smart Innovation, Systems and Technologies","Evolution in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-6616-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,23]],"date-time":"2022-04-23T12:10:46Z","timestamp":1650715846000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-6616-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811666155","9789811666162"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-6616-2_10","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The competent authorities allowed us to use the images\/data as provided in the study. We shall be entirely responsible for any dispute in the future.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration"}}]}}