{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T20:45:43Z","timestamp":1729629943093,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1109\/icis.2016.7550749","type":"proceedings-article","created":{"date-parts":[[2016,8,25]],"date-time":"2016-08-25T20:57:40Z","timestamp":1472158660000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["AKIHelper: Acute kidney injury diagnostic tool using KDIGO guideline approach"],"prefix":"10.1109","author":[{"given":"Issariya","family":"Uboltham","sequence":"first","affiliation":[]},{"given":"Nakornthip","family":"Prompoon","sequence":"additional","affiliation":[]},{"given":"Wirichada","family":"Pan-ngum","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(15)60266-5"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IECBES.2012.6498117"},{"key":"ref12","first-page":"191","article-title":"Predicting disease by using data mining based on healthcare information system","author":"feixiang","year":"2012","journal-title":"Granular Computing (GrC) 2012 IEEE International Conference on"},{"key":"ref13","first-page":"1114","volume":"3","author":"neeraj","year":"2013","journal-title":"International Journal of Advanced Research in Computer Science and Software Engineering"},{"key":"ref14","first-page":"438","article-title":"Analysis of WeKA Data Mining Algorithm REP Tree, Simple Cart and Random Tree for Classification of Indian News","volume":"2","author":"sushilkumar","year":"2015","journal-title":"International Journal of Engineering Science and Innovative Technology"},{"key":"ref4","first-page":"1","article-title":"Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group","volume":"2","year":"2012","journal-title":"KDIGO Clinical Practice Guideline for Acute Kidney Injury Kidney inter"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s40697-014-0020-y"},{"key":"ref6","first-page":"17","article-title":"Data Mining for Medical Systems: A Review","author":"muhamad","year":"2012","journal-title":"Proc of the International Conference on Advances in Computer and Information Technology – ACIT"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.11591\/ijphs.v1i2.1380"},{"key":"ref8","first-page":"819","article-title":"AKI in the ICU: definition, epidemiology, risk stratification, and outcomes","volume":"81 9","author":"kai","year":"2012","journal-title":"Kidney International"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1159\/000371748"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/MCC.0000000000000024"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2015.377"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2015.377"}],"event":{"name":"2016 IEEE\/ACIS 15th International Conference on Computer and Information Science (ICIS)","start":{"date-parts":[[2016,6,26]]},"location":"Okayama, Japan","end":{"date-parts":[[2016,6,29]]}},"container-title":["2016 IEEE\/ACIS 15th International Conference on Computer and Information Science (ICIS)"],"original-title":[],"link":[{"URL":"http:\/\/ieeexplore.ieee.org\/iel7\/7537873\/7550716\/07550749.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7537873\/7550716\/07550749.pdf?arnumber=7550749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,9,30]],"date-time":"2016-09-30T01:09:08Z","timestamp":1475197748000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7550749\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/icis.2016.7550749","relation":{},"subject":[],"published":{"date-parts":[[2016,6]]}}}