{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:29Z","timestamp":1750219769627,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,5,10]]},"DOI":"10.1145\/3603765.3603770","type":"proceedings-article","created":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T18:13:45Z","timestamp":1697566425000},"page":"66-72","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Predictive Health: Chronic Kidney Disease Case Study"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-6565-7730","authenticated-orcid":false,"given":"Basma","family":"Boukenze","sequence":"first","affiliation":[{"name":"Department of Computing, Computer Science and Systems Laboratory-CNRS, Aix-Marseille University, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0046-7092","authenticated-orcid":false,"given":"Mohammed","family":"Quafafou","sequence":"additional","affiliation":[{"name":"Department of Computing, Computer Science and Systems Laboratory-CNRS, Aix-Marseille University, France"}]}],"member":"320","published-online":{"date-parts":[[2023,10,17]]},"reference":[{"volume-title":"JAMA","author":"Josef C.","key":"e_1_3_2_1_1_1","unstructured":"Josef C. , Elizabeth S. , Lesley A. S. , and all, _ \u2018 Prevalence of Chronic Kidney Disease in the United States\u2018\u2018 , JAMA , November 7, 2007\u2014Vol 298, No. 17 , pp 2038-2047 Josef C., Elizabeth S., Lesley A. S., and all, _ \u2018Prevalence of Chronic Kidney Disease in the United States\u2018\u2018, JAMA, November 7, 2007\u2014Vol 298, No. 17 , pp 2038-2047"},{"key":"e_1_3_2_1_2_1","first-page":"85","volume-title":"Chronic renal disease'',clinical review,BMJ VOL. 325 N.13 JULY","author":"Malvinder S.P.","year":"2002","unstructured":"Malvinder , S.P. , '' Chronic renal disease'',clinical review,BMJ VOL. 325 N.13 JULY 2002 , pp 85 - 90 Malvinder,S.P., ''Chronic renal disease'',clinical review,BMJ VOL. 325 N.13 JULY 2002, pp 85-90"},{"key":"e_1_3_2_1_3_1","first-page":"85","article-title":"Effects on the Cardiovascular System","author":"Ernesto L. S.","year":"2007","unstructured":"Ernesto L. S. , Mark L. L. , Johannes F.E. M. ,'' Chronic Kidney Disease , Effects on the Cardiovascular System '', Circulation , July 2007 ,pp. 85 - 97 Ernesto L. S., Mark L. L., Johannes F.E. M.,'' Chronic Kidney Disease, Effects on the Cardiovascular System'',Circulation,July 2007,pp.85-97","journal-title":"Circulation"},{"key":"e_1_3_2_1_4_1","first-page":"147","article-title":"\u2018Relationship between heart failure treatment and development of worsening renal function among hospitalized patients","author":"Javed B.","year":"2004","unstructured":"Javed , B. , Daniel E, F. , William T A. , and all _ \u2018Relationship between heart failure treatment and development of worsening renal function among hospitalized patients \u2018\u2018, American Heart Journal , February 2004 Volume 147 , Issue 2, pp 331\u2013338 Javed ,B., Daniel E, F., William T A., and all _ \u2018Relationship between heart failure treatment and development of worsening renal function among hospitalized patients\u2018\u2018,American Heart Journal, February 2004Volume 147, Issue 2, pp 331\u2013338","journal-title":"American Heart Journal"},{"key":"e_1_3_2_1_5_1","article-title":"\u2018 Medical error\u2014the third leading cause of death in the USA _\u2018","author":"Martin M.","year":"2016","unstructured":"Martin M. , Michael D. ,\u2018 \u2018 Medical error\u2014the third leading cause of death in the USA _\u2018 , British Medical Journal , May 2016 , Martin M., Michael D.,\u2018\u2018 Medical error\u2014the third leading cause of death in the USA _\u2018, British Medical Journal ,May 2016,","journal-title":"British Medical Journal"},{"key":"e_1_3_2_1_6_1","first-page":"1296","volume-title":"The new england journal of medicine, september 23","author":"Alan S. G","year":"2004","unstructured":"Alan S. G , Glenn M. C. , Dongjie F. , and all _\u2018 Chronic Kidney Disease and the Risks of Death, Cardiovascular Events , and Hospitalization\u2018\u2018 , The new england journal of medicine, september 23 , 2004 , pp 1296 - 1305 Alan S. G, Glenn M. C., Dongjie F., and all _\u2018Chronic Kidney Disease and the Risks of Death, Cardiovascular Events, and Hospitalization\u2018\u2018, The new england journal of medicine, september 23, 2004, pp 1296-1305"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1159\/000180580"},{"key":"e_1_3_2_1_8_1","unstructured":"ANAES Agence Nationale d\u2018Accr\u00e9ditation et d\u2018\u00c9valuation en Sant\u00e9 \/ Service des recommandations et r\u00e9f\u00e9rences professionnelles Diagnostic de l\u2018insuffisance r\u00e9nale chronique chez l\u2018adulte Recommandations\u2018\u2018 Septembre 2002 pp.1-27  ANAES Agence Nationale d\u2018Accr\u00e9ditation et d\u2018\u00c9valuation en Sant\u00e9 \/ Service des recommandations et r\u00e9f\u00e9rences professionnelles Diagnostic de l\u2018insuffisance r\u00e9nale chronique chez l\u2018adulte Recommandations\u2018\u2018 Septembre 2002 pp.1-27"},{"key":"e_1_3_2_1_9_1","first-page":"2100","volume-title":"Kidney International by International Society of Nephrology","author":"Andrew S. L., KAI-UWE E., YUSUKE T.","year":"2005","unstructured":"Andrew S. L., KAI-UWE E., YUSUKE T. , and all , Definition and classification of chronic kidney disease: A position statement from Kidney Disease: Improving Global Outcomes (KDIGO) , Kidney International by International Society of Nephrology , Vol. 67 ( 2005 ), pp. 2089\u2013 2100 Andrew S. L., KAI-UWE E., YUSUKE T., and all , Definition and classification of chronic kidney disease: A position statement from Kidney Disease: Improving Global Outcomes (KDIGO), Kidney International by International Society of Nephrology, Vol. 67 (2005), pp. 2089\u20132100"},{"key":"e_1_3_2_1_10_1","first-page":"872","volume-title":"Published by Oxford University Research and Applications ,2015","author":"Adler P.","unstructured":"Adler P. , Rajesh R. , Jamie S H. , and all ,\u2018 Risk prediction for chronic kidney disaease progression using heterogeneous electronic health record data and time series analysis\u2018\u2018 , Published by Oxford University Research and Applications ,2015 , pp 872 - 880 Adler P., Rajesh R., Jamie S H., and all ,\u2018 Risk prediction for chronic kidney disaease progression using heterogeneous electronic health record data and time series analysis\u2018\u2018, Published by Oxford University Research and Applications ,2015, pp 872-880"},{"key":"e_1_3_2_1_11_1","volume-title":"Hindawi Publishing Corporation , Computational and Mathematical Methods in Medicine","author":"Jamshid N.","year":"2016","unstructured":"Jamshid N. , Ali Y. , Seyed Ahmad M. , and all ,\u2018 Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System , Hindawi Publishing Corporation , Computational and Mathematical Methods in Medicine , 2016 , Article ID 6080814, 9 pages Jamshid N.,Ali Y., Seyed Ahmad M., and all ,\u2018 Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System, Hindawi Publishing Corporation , Computational and Mathematical Methods in Medicine, 2016, Article ID 6080814, 9 pages"},{"key":"e_1_3_2_1_12_1","first-page":"14","article-title":"Predictors of renal recovery in renal failure secondary to bilateral obstructive urolithiasis","volume":"2016","author":"Muthukrishna P. R.","unstructured":"Muthukrishna P. R. , Chandrasingh J.B. , Grace J. R. , Predictors of renal recovery in renal failure secondary to bilateral obstructive urolithiasis , Arab Journal of Urology , 2016 , vol 14 , pp. 269\u2013274 Muthukrishna P. R., Chandrasingh J.B., Grace J. R., Predictors of renal recovery in renal failure secondary to bilateral obstructive urolithiasis, Arab Journal of Urology ,2016, vol 14, pp. 269\u2013274","journal-title":"Arab Journal of Urology"},{"key":"e_1_3_2_1_13_1","first-page":"222","volume-title":"UAI'16 Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, June 25 - 29","author":"Joseph F.","year":"2016","unstructured":"Joseph F. ,, Mark Sendak C. Blake C. , \u2018\u2018 Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease\u2018\u2018 , UAI'16 Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, June 25 - 29 , 2016 , Pages 222 - 231 Joseph F.,, Mark Sendak C. Blake C., \u2018\u2018 Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease\u2018\u2018, UAI'16 Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, June 25 - 29, 2016 , Pages 222-231"},{"key":"e_1_3_2_1_14_1","unstructured":"Sai Prasad P. Sreedevi M. An Improved Prediction of Kidney Disease using SMOTE\u2018\u2018 Indian Journal of Science and Technology Vol 9(31)  Sai Prasad P. Sreedevi M. An Improved Prediction of Kidney Disease using SMOTE\u2018\u2018 Indian Journal of Science and Technology Vol 9(31)"},{"key":"e_1_3_2_1_15_1","first-page":"83","volume-title":"Journal of Renal Injury Prevention","author":"Shahram T.","year":"2017","unstructured":"Shahram T. , Marjan G. , Mostafa L. , and all, _ \u2018Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other\u2018\u2018 , Journal of Renal Injury Prevention , 2017 , Vol, 6, N 2 , pp. 83 - 87 Shahram T., Marjan G., Mostafa L., and all, _ \u2018Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other\u2018\u2018, Journal of Renal Injury Prevention, 2017, Vol, 6, N 2, pp. 83-87"},{"key":"e_1_3_2_1_16_1","volume-title":"Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine","author":"Mohammad R.","year":"2013","unstructured":"Mohammad R. , Morteza Khavanin Z. , Mohammad Mehdi S. , _ \u2018 Implementation of Predictive Data Mining Techniques for Identifying Risk Factors of Early AVF Failure in Hemodialysis Patients\u2018\u2018 , Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine , 2013 , Article ID 830745, 8 pages Mohammad R., Morteza Khavanin Z.,Mohammad Mehdi S., _ \u2018Implementation of Predictive Data Mining Techniques for Identifying Risk Factors of Early AVF Failure in Hemodialysis Patients\u2018\u2018, Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine , 2013, Article ID 830745, 8 pages"},{"key":"e_1_3_2_1_17_1","first-page":"10","article-title":"\u2018Acute-on-chronic kidney disease: prevention, diagnosis, management and referral in primary care","year":"2012","unstructured":"john, S. , \u2018Acute-on-chronic kidney disease: prevention, diagnosis, management and referral in primary care \u2018\u2018, Best Practice Journal , September 2012 , pp. 10 - 15 john, S., \u2018Acute-on-chronic kidney disease: prevention, diagnosis, management and referral in primary care\u2018\u2018,Best Practice Journal , September 2012, pp. 10-15","journal-title":"Best Practice Journal"},{"key":"e_1_3_2_1_18_1","unstructured":"Kathleen D. L Glenn M. C _\u2018 ACUTE RENAL FAILURE \u2018\u2018 Jameson Nephrology McGraw-Hill Medical January 2011 chapter 10 pp 97-112.  Kathleen D. L Glenn M. C _\u2018 ACUTE RENAL FAILURE \u2018\u2018 Jameson Nephrology McGraw-Hill Medical January 2011 chapter 10 pp 97-112."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-156-11-201203200-00391"},{"key":"e_1_3_2_1_20_1","first-page":"52","article-title":"A Report from the Laboratory Working Group of the National Kidney Disease Education Program","author":"Gary L. M.","year":"2006","unstructured":"Gary L. M. , Greg M. , Josef C. , _\u2018 Recommendations for Improving Serum Creatinine Measurement : A Report from the Laboratory Working Group of the National Kidney Disease Education Program \u2018\u2018, Clinical Chemistry Journal January 2006 , Vol . 52 . Gary L. M., Greg M., Josef C., _\u2018Recommendations for Improving Serum Creatinine Measurement: A Report from the Laboratory Working Group of the National Kidney Disease Education Program\u2018\u2018, Clinical Chemistry Journal January 2006, Vol .52.","journal-title":"Clinical Chemistry Journal"},{"key":"e_1_3_2_1_21_1","first-page":"204","volume-title":"outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative","author":"Rinaldo B.","year":"2004","unstructured":"Rinaldo B. , Claudio R. , John A K. , Ravindra L M. , and all, \u2018\u2018 Acute renal failure \u2013 definition , outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative ( ADQI) Group\u2018\u2018 , Critical Care Journal , May 2004 , Vol. 8 , No .4,pp. 204 - 212 Rinaldo B., Claudio R.,John A K., Ravindra L M., and all,\u2018\u2018 Acute renal failure \u2013 definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group\u2018\u2018, Critical Care Journal , May 2004, Vol. 8, No .4,pp. 204-212"},{"volume-title":"JAMA","author":"Matsushita K","key":"e_1_3_2_1_22_1","unstructured":"Matsushita K , Mahmoodi BK , Woodward M Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate , JAMA , 2012;307:1941-51 Matsushita K, Mahmoodi BK, Woodward M Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate, JAMA, 2012;307:1941-51"},{"key":"e_1_3_2_1_23_1","first-page":"154","volume-title":"International Conference on User Modeling","author":"Stephan W.","year":"2003","unstructured":"Stephan , W. , Gerhard , W. , \u2018\u2018 Evaluating the Inference Mechanism of Adaptive Learning Systems\u2018\u2018, june 2003 , International Conference on User Modeling , pp 154 - 162 Stephan,W.,Gerhard,W., \u2018\u2018 Evaluating the Inference Mechanism of Adaptive Learning Systems\u2018\u2018, june 2003, International Conference on User Modeling, pp154-162"},{"key":"e_1_3_2_1_24_1","volume-title":"Fundamentals of Kalman Filtering: A Practical Approach","author":"Paul Zarchan","year":"2000","unstructured":"Paul Zarchan ; Howard Musoff ( 2000 ). Fundamentals of Kalman Filtering: A Practical Approach . American Institute of Aeronautics and Astronautics, Inc orporated. ISBN 978-1-56347-455-2. Paul Zarchan; Howard Musoff (2000). Fundamentals of Kalman Filtering: A Practical Approach. American Institute of Aeronautics and Astronautics, Incorporated. ISBN 978-1-56347-455-2."},{"key":"#cr-split#-e_1_3_2_1_25_1.1","doi-asserted-by":"crossref","unstructured":"Kalman R. E. (1960). \"A New Approach to Linear Filtering and Prediction Problems\". Journal of Basic Engineering. 82: 35. doi:10.1115\/1.3662552. GFR: everything you need to know about glomerular filtration rate https:\/\/www.passeportsante.net\/fr\/Maux\/analysesmedicales\/Fiche.aspx?doc=dfg-savoir-sur-debit-filtration-glomerulaire 10.1115\/1.3662552","DOI":"10.1115\/1.3662552"},{"key":"#cr-split#-e_1_3_2_1_25_1.2","doi-asserted-by":"crossref","unstructured":"Kalman R. E. (1960). \"A New Approach to Linear Filtering and Prediction Problems\". Journal of Basic Engineering. 82: 35. doi:10.1115\/1.3662552. GFR: everything you need to know about glomerular filtration rate https:\/\/www.passeportsante.net\/fr\/Maux\/analysesmedicales\/Fiche.aspx?doc=dfg-savoir-sur-debit-filtration-glomerulaire","DOI":"10.1115\/1.3662552"},{"key":"e_1_3_2_1_26_1","volume-title":"Statistics and Data Interpretation for Social Work","author":"Rosenthal G.","year":"2011","unstructured":"Rosenthal , G. & Rosenthal , J. ( 2011 ). Statistics and Data Interpretation for Social Work . Springer Publishing Company Rosenthal, G. & Rosenthal, J. (2011). Statistics and Data Interpretation for Social Work. Springer Publishing Company"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.2307\/1402616"}],"event":{"name":"ICISDM 2023: 2023 the 7th International Conference on Information System and Data Mining","acronym":"ICISDM 2023","location":"Atlanta USA"},"container-title":["2023 the 7th International Conference on Information System and Data Mining (ICISDM)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3603765.3603770","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3603765.3603770","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:22Z","timestamp":1750178242000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3603765.3603770"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,10]]},"references-count":28,"alternative-id":["10.1145\/3603765.3603770","10.1145\/3603765"],"URL":"https:\/\/doi.org\/10.1145\/3603765.3603770","relation":{},"subject":[],"published":{"date-parts":[[2023,5,10]]},"assertion":[{"value":"2023-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}