{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T05:26:32Z","timestamp":1675315592873},"reference-count":31,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2023,2]]},"abstract":" In the medical field, the clinical notes taken by the doctor, nurse, or medical practitioner are considered to be one of the most important medical documents. These documents hold information regarding the patient including the patient\u2019s current condition, family history, disease, symptoms, medications, lab test reports, and other vital information. Despite these documents holding important information regarding the patients, they cannot be used as the data are unstructured. Organizing a huge amount of data without any mistakes is highly impossible for humans, so ignoring unstructured data is not advisable. Hence, to overcome this issue, the web scraping method is used to extract the clinical notes from the Medical Transcription (MT) samples which hold many transcripted clinical notes of various departments. In the proposed method, Natural Language Processing (NLP) is used to pre-process the data, and the variants of the Term Frequency-Inverse Document Frequency (TF-IDF)-based vector model are used for the feature selection, thus extracting the required data from the clinical notes. The performance measures including the accuracy, precision, recall and F1 score are used in the identification of disease, and the result obtained from the proposed system is compared with the best performing machine learning algorithms including the Logistic Regression, Multinomial Naive Bayes, Random Forest classifier and Linear SVC. The result obtained proves that the Random Forest Classifier obtained a higher accuracy of 90% when compared to the other algorithms. <\/jats:p>","DOI":"10.1142\/s021812662350041x","type":"journal-article","created":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T03:26:37Z","timestamp":1659929197000},"source":"Crossref","is-referenced-by-count":0,"title":["Extraction of Meaningful Information from Unstructured Clinical Notes Using Web Scraping"],"prefix":"10.1142","volume":"32","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2493-3150","authenticated-orcid":false,"given":"K. Sukanya","family":"Varshini","sequence":"first","affiliation":[{"name":"CINTEL, SRM Institute of Science and Technology, Kattankulathur, Chengelpet, Tamil Nadu 603203, India"}]},{"given":"R. Annie","family":"Uthra","sequence":"additional","affiliation":[{"name":"CINTEL, SRM Institute of Science and Technology, Kattankulathur, Chengelpet, Tamil Nadu 603203, India"}]}],"member":"219","published-online":{"date-parts":[[2022,9,14]]},"reference":[{"key":"S021812662350041XBIB001","first-page":"1140","volume-title":"Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.","author":"Baxter S. L.","year":"2019"},{"key":"S021812662350041XBIB003","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1109\/JPROC.2015.2501978","volume":"104","author":"Johnson E. W.","year":"2016","journal-title":"Proc. IEEE"},{"key":"S021812662350041XBIB004","first-page":"1519","volume":"92","author":"To K. B.","year":"2018","journal-title":"Surg. Clin.North Am."},{"key":"S021812662350041XBIB005","doi-asserted-by":"crossref","first-page":"e22","DOI":"10.2196\/medinform.3447","volume":"2","author":"Badawi O.","year":"2014","journal-title":"JMIR Med. Inf."},{"key":"S021812662350041XBIB006","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.101.2001126"},{"key":"S021812662350041XBIB007","first-page":"1140","volume-title":"Proc. 18th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining.","author":"Mao Y.","year":"2012"},{"key":"S021812662350041XBIB008","first-page":"467","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wiens J.","year":"2012"},{"key":"S021812662350041XBIB009","author":"Zhao L.","year":"2022","journal-title":"IEEE Trans. Mobile Comput."},{"issue":"2","key":"S021812662350041XBIB010","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1109\/TR.2022.3159664","volume":"71","author":"Zhao L.","year":"2022","journal-title":"IEEE Trans. Reliab."},{"key":"S021812662350041XBIB011","doi-asserted-by":"crossref","first-page":"12518","DOI":"10.1109\/TITS.2021.3115123","volume":"23","author":"Zhou Z.","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"S021812662350041XBIB012","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1109\/TBME.2014.2351376","volume":"62","author":"D\u00fcrichen R.","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"S021812662350041XBIB013","first-page":"446","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Ghassemi M.","year":"2015"},{"key":"S021812662350041XBIB014","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1145\/2783258.2783289","volume-title":"Proc. 21st ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining","author":"Barajas L. C.","year":"2015"},{"key":"S021812662350041XBIB015","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1145\/2623330.2623754","volume-title":"Proc. 20th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining","author":"Wang X.","year":"2014"},{"key":"S021812662350041XBIB016","doi-asserted-by":"crossref","first-page":"3186","DOI":"10.1109\/TCOMM.2022.3162263","volume":"70","author":"Zhu B.","year":"2022","journal-title":"IEEE Trans. Commun."},{"key":"S021812662350041XBIB017","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/cc8864","volume":"14","author":"Cohen M. J.","year":"2010","journal-title":"Crit. Care"},{"key":"S021812662350041XBIB018","first-page":"1095","volume-title":"Proc. 18th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining","author":"Zhou J.","year":"2012"},{"key":"S021812662350041XBIB019","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3125190"},{"key":"S021812662350041XBIB020","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.jbi.2015.10.001","volume":"58","author":"Pivovarov R.","year":"2015","journal-title":"J. Biomed. Inf."},{"key":"S021812662350041XBIB022","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1097\/CCM.0b013e3181fd66e5","volume":"39","author":"Desai S. V.","year":"2019","journal-title":"Crit. Care Med."},{"key":"S021812662350041XBIB023","doi-asserted-by":"crossref","first-page":"2754","DOI":"10.1097\/CCM.0b013e318298a6fb","volume":"41","author":"Halpern N. A.","year":"2017","journal-title":"Criti. Care Med."},{"key":"S021812662350041XBIB024","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3130163"},{"key":"S021812662350041XBIB025","first-page":"358","volume-title":"Proc. IEEE Int. Conf. Bioinformatics Biomed. (BIBM)","author":"Batal H.","year":"2011"},{"key":"S021812662350041XBIB026","doi-asserted-by":"crossref","DOI":"10.1201\/b18588","volume-title":"Healthcare Data Analytics","volume":"36","author":"Reddy C. K.","year":"2015"},{"key":"S021812662350041XBIB027","first-page":"264","volume-title":"AMIA Annu. Symp. Proc.","volume":"2012","author":"Gotz D.","year":"2012"},{"key":"S021812662350041XBIB028","first-page":"716","volume-title":"Proc. AMIA Annu. Symp.","author":"Perer A.","year":"2012"},{"key":"S021812662350041XBIB029","first-page":"721","volume-title":"Proc. IEEE Int. Conf. Data Mining (ICDM)","author":"Choi E.","year":"2015"},{"key":"S021812662350041XBIB030","first-page":"469","volume-title":"Uncertain Artif Intell.","volume":"2014","author":"Lasko T. A.","year":"2014"},{"key":"S021812662350041XBIB031","first-page":"1","volume-title":"Neural Inf. Process. Syst. (NIPS), Predictive Models Personalized Medicine Workshop","author":"Saria S.","year":"2019"},{"key":"S021812662350041XBIB032","doi-asserted-by":"crossref","first-page":"6743","DOI":"10.1109\/TWC.2021.3076201","volume":"20","author":"Xia S.","year":"2021","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"6","key":"S021812662350041XBIB033","doi-asserted-by":"crossref","first-page":"2130","DOI":"10.1109\/TMC.2020.3033563","volume":"21","author":"Li Y.","year":"2022","journal-title":"IEEE Trans. Mob. Comput."}],"container-title":["Journal of Circuits, Systems and Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021812662350041X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T13:02:55Z","timestamp":1675256575000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S021812662350041X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,14]]},"references-count":31,"journal-issue":{"issue":"03","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["10.1142\/S021812662350041X"],"URL":"https:\/\/doi.org\/10.1142\/s021812662350041x","relation":{},"ISSN":["0218-1266","1793-6454"],"issn-type":[{"value":"0218-1266","type":"print"},{"value":"1793-6454","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,14]]}}}