{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T23:36:04Z","timestamp":1789169764240,"version":"build-2803163510"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T00:00:00Z","timestamp":1523577600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1007\/s10916-018-0941-6","type":"journal-article","created":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T04:09:55Z","timestamp":1523592595000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text"],"prefix":"10.1007","volume":"42","author":[{"given":"Saurabh Kumar","family":"Srivastava","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandeep Kumar","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jasjit S.","family":"Suri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,4,13]]},"reference":[{"issue":"11","key":"941_CR1","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s10916-017-0831-3","volume":"41","author":"TM Rico","year":"2017","unstructured":"Rico, T. M., dos Santos Machado, K., Fernandes, V. P., Madruga, S. W., Noguez, P. T., Barcelos, C. R. G., and Dumith, S. C., Text messaging (SMS) helping cancer care in patients undergoing chemotherapy treatment: a Pilot study. J. Med. Syst. 41(11):181, 2017.","journal-title":"J. Med. Syst."},{"key":"941_CR2","doi-asserted-by":"crossref","unstructured":"Lee, K., Agrawal, A., and Choudhary, A., Real-time disease surveillance using twitter data: demonstration on flu and cancer. In Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining, 1474-1477, 2013.","DOI":"10.1145\/2487575.2487709"},{"issue":"8","key":"941_CR3","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s10916-015-0261-z","volume":"39","author":"AB Rios-Alvarado","year":"2015","unstructured":"Rios-Alvarado, A. B., Lopez-Arevalo, I., Tello-Leal, E., and Sosa-Sosa, V. J., An approach for learning expressive ontologies in medical domain. J. Med. Syst. 39(8):75, 2015.","journal-title":"J. Med. Syst."},{"key":"941_CR4","doi-asserted-by":"crossref","unstructured":"Li, G. Z., Yang, J., Liu, G. P., and Xue, L., Feature selection for multi-class problems using support vector machines. In PRICAI, 292-300, 2004.","DOI":"10.1007\/978-3-540-28633-2_32"},{"issue":"1","key":"941_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5812\/ircmj.12454","volume":"16","author":"S Vahdat","year":"2014","unstructured":"Vahdat, S., Hamzehgardeshi, L., Hessam, S., and Hamzehgardeshi, Z., Patient involvement in health care decision making: a review. Iran Red Crescent Med. J. 16(1):1\u20137, 2014.","journal-title":"Iran Red Crescent Med. J."},{"issue":"4","key":"941_CR6","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1109\/TIM.2011.2174897","volume":"61","author":"UR Acharya","year":"2012","unstructured":"Acharya, U. R., Faust, O., Sree, S. V., Molinari, F., Saba, L., Nicolaides, A., and Suri, J. S., An accurate and generalized approach to plaque characterization in 346 carotid ultrasound scans. IEEE Trans. Instrum. Measure. 61(4):1045\u20131053, 2012.","journal-title":"IEEE Trans. Instrum. Measure."},{"issue":"3","key":"941_CR7","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1007\/s10278-012-9553-8","volume":"26","author":"UR Acharya","year":"2013","unstructured":"Acharya, U. R., Sree, S. V., Saba, L., Molinari, F., Guerriero, S., and Suri, J. S., Ovarian tumor characterization and classification using ultrasound\u2014a new online paradigm. J. Digit. Imaging 26(3):544\u2013553, 2013.","journal-title":"J. Digit. Imaging"},{"key":"941_CR8","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.patcog.2017.03.008","volume":"68","author":"T Kautz","year":"2017","unstructured":"Kautz, T., Eskofier, B. M., and Pasluosta, C. F., Generic performance measure for multiclass-classifiers. Pattern Recogn. 68:111\u2013125, 2017.","journal-title":"Pattern Recogn."},{"key":"941_CR9","doi-asserted-by":"crossref","unstructured":"Japkowicz, N., and Shah, M., Evaluating learning algorithms: a classification perspective. Cambridge University Press. 2011.","DOI":"10.1017\/CBO9780511921803"},{"issue":"4","key":"941_CR10","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","volume":"45","author":"M Sokolova","year":"2009","unstructured":"Sokolova, M., and Lapalme, G., A systematic analysis of performance measures for classification tasks. Inform. Process. Manag. 45(4):427\u2013437, 2009.","journal-title":"Inform. Process. Manag."},{"key":"941_CR11","unstructured":"Huang, J., and Ling, C. X., Constructing new and better evaluation measures for machine learning. In IJCAI, 859-864, 2007."},{"key":"941_CR12","doi-asserted-by":"crossref","unstructured":"Wong, A. K., Lee, J. W., and Yeung, D. S., Improving text classifier performance based on AUC. In Pattern Recognition, 2006. ICPR 2006. 18th, 1-4, 2006.","DOI":"10.1109\/ICPR.2006.705"},{"issue":"11","key":"941_CR13","doi-asserted-by":"crossref","first-page":"1668","DOI":"10.1109\/TKDE.2010.170","volume":"23","author":"T Iwata","year":"2011","unstructured":"Iwata, T., Tanaka, T., Yamada, T., and Ueda, N., Improving classifier performance using data with different taxonomies. IEEE Trans. Knowledge Data Eng. 23(11):1668\u20131677, 2011.","journal-title":"IEEE Trans. Knowledge Data Eng."},{"key":"941_CR14","doi-asserted-by":"crossref","unstructured":"Sriram, B., Fuhry, D., Demir, E., Ferhatosmanoglu, H., and Demirbas, M., Short text classification in twitter to improve information filtering. In Proceedings of the33rd international ACM SIGIR conference on Research and development in information retrieval, 841-842, 2010.","DOI":"10.1145\/1835449.1835643"},{"key":"941_CR15","doi-asserted-by":"crossref","unstructured":"Caragea, C., Wu, J., Gollapalli, S. D., and Giles, C. L., Document Type Classification in Online Digital Libraries. AAAI, 3997-4002, 2016.","DOI":"10.1609\/aaai.v30i2.19075"},{"issue":"15","key":"941_CR16","doi-asserted-by":"crossref","first-page":"6184","DOI":"10.1016\/j.eswa.2015.03.014","volume":"42","author":"VK Shrivastava","year":"2015","unstructured":"Shrivastava, V. K., Londhe, N. D., Sonawane, R. S., and Suri, J. S., Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm. Expert Syst. Appl. 42(15):6184\u20136195, 2015.","journal-title":"Expert Syst. Appl."},{"key":"941_CR17","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.cmpb.2015.11.013","volume":"126","author":"VK Shrivastava","year":"2016","unstructured":"Shrivastava, V. K., Londhe, N. D., Sonawane, R. S., and Suri, J. S., Computer- aided diagnosis of psoriasis skin images with HOS, texture and color features: a first comparative study of its kind. Comput. Methods Prog. Biomed. 126:98\u2013109, 2016.","journal-title":"Comput. Methods Prog. Biomed."},{"key":"941_CR18","doi-asserted-by":"crossref","unstructured":"Cormack, G. V., G\u00f3mez Hidalgo, J. M., and S\u00e1nz, E. P., Spam filtering for short messages. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 313-320, 2007.","DOI":"10.1145\/1321440.1321486"},{"key":"941_CR19","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.procs.2013.05.065","volume":"17","author":"JG Liang","year":"2013","unstructured":"Liang, J. G., Zhou, X. F., Liu, P., Guo, L., and Bai, S., An EMM-based Approach for Text Classification. Proc. Comput. Sci. 17:506\u2013513, 2013.","journal-title":"Proc. Comput. Sci."},{"key":"941_CR20","doi-asserted-by":"crossref","unstructured":"Lu, C., Zhang, X., Park, J. R., Hu, X., & He, T., Web clustering based on the information of sibling pages. In Granular Computing, 2008. GrC 2008. IEEE International Conference, 480\u2013485, 2008.","DOI":"10.1109\/GRC.2008.4664743"},{"key":"941_CR21","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.jbi.2014.03.005","volume":"49","author":"S Tuarob","year":"2014","unstructured":"Tuarob, S., Tucker, C. S., Salathe, M., and Ram, N., An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages. J. Biomed. Inform. 49:255\u2013268, 2014.","journal-title":"J. Biomed. Inform."},{"key":"941_CR22","unstructured":"Roesslein, J. (2009). tweepy documentation. Online http:\/\/tweepy.readthedocs.io\/en\/v3 , 5."},{"issue":"3","key":"941_CR23","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.artmed.2014.01.002","volume":"61","author":"P Velardi","year":"2014","unstructured":"Velardi, P., Stilo, G., Tozzi, A. E., and Gesualdo, F., Twitter mining for fine- grained syndromic surveillance. Artif. Intell. Med. 61(3):153\u2013163, 2014.","journal-title":"Artif. Intell. Med."},{"key":"941_CR24","doi-asserted-by":"crossref","first-page":"115","DOI":"10.5121\/ijcsit.2015.7310","volume":"7","author":"SK Srivastava","year":"2015","unstructured":"Srivastava, S. K., and Singh, S. K., Multi-Parameter Based Performance Evaluation Of Classification Algorithms. Int. J. Comput Sci. Inform. Technol. (IJCSIT) 7:115\u2013125, 2015.","journal-title":"Int. J. Comput Sci. Inform. Technol. (IJCSIT)"},{"issue":"5","key":"941_CR25","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1007\/s11517-012-1019-0","volume":"51","author":"UR Acharya","year":"2013","unstructured":"Acharya, U. R., Mookiah, M. R. K., Sree, S. V., Afonso, D., Sanches, J., Shafique, S., and Suri, J. S., Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment. Med Biol. Eng. Comput. 51(5):513\u2013523, 2013.","journal-title":"Med Biol. Eng. Comput."},{"issue":"1\u20132","key":"941_CR26","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/S0925-2312(03)00373-4","volume":"55","author":"A Sanchez","year":"2003","unstructured":"Sanchez, A., and V. D., Advanced support vector machines and kernel methods. Neurocomputing 55(1\u20132):5\u201320, 2003.","journal-title":"Neurocomputing"},{"issue":"2","key":"941_CR27","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1109\/72.914517","volume":"12","author":"KR Muller","year":"2001","unstructured":"Muller, K. R., Mika, S., Ratsch, G., Tsuda, K., and Scholkopf, B., An introduction to kernel-based learning algorithms. IEEE Trans. Neural Netw. 12(2):181\u2013201, 2001.","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3","key":"941_CR28","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1007\/s10916-010-9645-2","volume":"36","author":"RU Acharya","year":"2012","unstructured":"Acharya, R. U., Faust, O., Alvin, A. P. C., Sree, S. V., Molinari, F., Saba, L., and Suri, J. S., Symptomatic vs. asymptomatic plaque classification in carotid ultrasound. J. Med. Syst. 36(3):1861\u20131871, 2012.","journal-title":"J. Med. Syst."},{"key":"941_CR29","volume-title":"Stochastic Gradient Descent Methods for large scale pattern classification","author":"S Chakravarty","year":"2011","unstructured":"Chakravarty, S. (2011). Stochastic Gradient Descent Methods for large scale pattern classification."},{"key":"941_CR30","first-page":"106","volume":"9","author":"J Martineau","year":"2009","unstructured":"Martineau, J., and Finin, T., Delta TFIDF: an improved feature space for sentiment analysis. Icwsm 9:106, 2009.","journal-title":"Icwsm"},{"key":"941_CR31","unstructured":"Robert, M. H., & Linda, G. S., Computer and robot vision. Vol. I, Addison-Wesley, 28\u201348, 1992."},{"key":"941_CR32","doi-asserted-by":"crossref","unstructured":"Suri, J. S., Haralick, R. M., and Sheehan, F.H., Left ventricle longitudinal axis fitting and its apex estimation using a robust algorithm and its performance: a parametric apex model. In Image Processing, 1997. Proceedings., International Conference on (Vol. 3, pp. 118-121). IEEE, 1997.","DOI":"10.1109\/ICIP.1997.632010"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-018-0941-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-018-0941-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-018-0941-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,19]],"date-time":"2022-08-19T12:26:44Z","timestamp":1660912004000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-018-0941-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,13]]},"references-count":32,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,5]]}},"alternative-id":["941"],"URL":"https:\/\/doi.org\/10.1007\/s10916-018-0941-6","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,4,13]]},"article-number":"97"}}