Predicting Heart Failure Patient Events by Exploiting Saliva and Breath Biomarkers Information
作者： Evanthia Tripoliti , Georgia S. Karanasiou , Fanis G. Kalatzis , Yorgos Goletsis , Aris Bechlioulis
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摘要: The aim of this work is to present a machine learning based method for the prediction adverse events (mortality and relapses) in patients with heart failure (HF) by exploiting, first time, measurements breath saliva biomarkers (Tumor Necrosis Factor Alpha, Cortisol Acetone). Data from 27 are used study achieved high accuracy (77%) using Rotation Forest algorithm. As near future, can be measured at home, together other physiological data, accurate on basis home revolutionize HF management.
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Vahid Taslimitehrani, Maryam Panahiazar, Naveen Pereira, Jyotishman Pathak, Using EHRs and Machine Learning for Heart Failure Survival Analysis. Studies in health technology and informatics. ,vol. 216, pp. 40- 44 ,(2015) , 10.3233/978-1-61499-564-7-40
Eric S. Ketchum, Wayne C. Levy, Multivariate risk scores and patient outcomes in advanced heart failure. Congestive Heart Failure. ,vol. 17, pp. 205- 212 ,(2011) , 10.1111/J.1751-7133.2011.00241.X
Peter C. Austin, Douglas S. Lee, Ewout W. Steyerberg, Jack V. Tu, Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods? Biometrical Journal. ,vol. 54, pp. 657- 673 ,(2012) , 10.1002/BIMJ.201100251
Liv I. Bjoner Sikkeland, Christen P. Dahl, Thor Ueland, Arne K. Andreassen, Einar Gude, Thor Edvardsen, Torbjørn Holm, Arne Yndestad, Lars Gullestad, Johny Kongerud, Pål Aukrust, Erik Øie, Increased Levels of Inflammatory Cytokines and Endothelin-1 in Alveolar Macrophages from Patients with Chronic Heart Failure PLoS ONE. ,vol. 7, pp. e36815- ,(2012) , 10.1371/JOURNAL.PONE.0036815
Sanjiv J. Shah, Daniel H. Katz, Senthil Selvaraj, Michael A. Burke, Clyde W. Yancy, Mihai Gheorghiade, Robert O. Bonow, Chiang-Ching Huang, Rahul C. Deo, Phenomapping for novel classification of heart failure with preserved ejection fraction. Circulation. ,vol. 131, pp. 269- 279 ,(2015) , 10.1161/CIRCULATIONAHA.114.010637
Alan S Maisel, Padma Krishnaswamy, Richard M Nowak, James McCord, Judd E Hollander, Philippe Duc, Torbjørn Omland, Alan B Storrow, William T Abraham, Alan HB Wu, Paul Clopton, Philippe G Steg, Arne Westheim, Catherine Wold Knudsen, Alberto Perez, Radmila Kazanegra, Howard C Herrmann, Peter A McCullough, None, Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure. The New England Journal of Medicine. ,vol. 347, pp. 161- 167 ,(2002) , 10.1056/NEJMOA020233
Markku Kupari, Jyri Lommi, Markku Ventilä, Ulla Karjalainen, Breath Acetone in Congestive Heart Failure American Journal of Cardiology. ,vol. 76, pp. 1076- 1078 ,(1995) , 10.1016/S0002-9149(99)80304-X
Gregg C. Fonarow, Risk Stratification for In-Hospital Mortality in Acutely Decompensated Heart FailureClassification and Regression Tree Analysis JAMA. ,vol. 293, pp. 572- 580 ,(2005) , 10.1001/JAMA.293.5.572
Michael A. Vedomske, Donald E. Brown, James H. Harrison, Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmissions Prediction international conference on machine learning and applications. ,vol. 2, pp. 415- 421 ,(2013) , 10.1109/ICMLA.2013.158
Ercole Vellone, Tiny Jaarsma, Anna Strömberg, Roberta Fida, Kristofer Årestedt, Gennaro Rocco, Antonello Cocchieri, Rosaria Alvaro, The European Heart Failure Self-care Behaviour Scale : new insights into factorial structure, reliability, precision and scoring procedure. Patient Education and Counseling. ,vol. 94, pp. 97- 102 ,(2014) , 10.1016/J.PEC.2013.09.014