References

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Author Title Type [ Year(Asc)]
2017
O. Daodu and Brindle, M. E., Predicting outcomes in congenital diaphragmatic hernia., Semin Pediatr Surg, vol. 26, no. 3, pp. 136-139, 2017.
S. R. Fernandes, da Costa, P. Marques, Vitor, S., Carvalho, J. R., Santos, P., Moura, C. M., Cortez-Pinto, H., Ramalho, F., and Velosa, J., Predicting short-term and long-term mortality of hospitalized Portuguese patients with alcoholic hepatitis., European journal of gastroenterology & hepatology, vol. 29, pp. 1141–1148, 2017.
J. Wallert, Tomasoni, M., Madison, G., and Held, C., Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data., BMC Med Inform Decis Mak, vol. 17, no. 1, p. 99, 2017.
T. Watanabe, Miyata, H., Konno, H., Kawai, K., Ishihara, S., Sunami, E., Hirahara, N., Wakabayashi, G., Gotoh, M., and Mori, M., Prediction model for complications after low anterior resection based on data from 33,411 Japanese patients included in the National Clinical Database., Surgery, vol. 161, no. 6, pp. 1597-1608, 2017.
J. Nauman, Nes, B. M., Lavie, C. J., Jackson, A. S., Sui, X., Coombes, J. S., Blair, S. N., and Wisloff, U., Prediction of Cardiovascular Mortality by Estimated Cardiorespiratory Fitness Independent of Traditional Risk Factors: The HUNT Study., Mayo Clinic proceedings, vol. 92, pp. 218–227, 2017.
E. Yuk Fai Wan, Fong, D. Yee Tak, Fung, C. Siu Cheung, Yu, E. Yee Tak, Chin, W. Yee, Chan, A. Ka Chun, and Lam, C. Lo Kuen, Prediction of five-year all-cause mortality in Chinese patients with type 2 diabetes mellitus - A population-based retrospective cohort study., J Diabetes Complications, vol. 31, no. 6, pp. 939-944, 2017.
C. Ahn, Hwang, Y., and Park, S. K., Predictors of all-cause mortality among 514,866 participants from the Korean National Health Screening Cohort., PloS one, vol. 12, p. e0185458, 2017.
A. Levinson, Miranda, J., and Rojas-Suarez, J. Antonio, Predictors of Maternal Mortality and Prognostic Models in Obstetric Patients., Seminars in respiratory and critical care medicine, vol. 38, pp. 191–200, 2017.
S. Elkholy, Mogawer, S., Hosny, A., El-Shazli, M., Al-Jarhi, U. M., Abdel-Hamed, S., Salah, A., El-Garem, N., Sholkamy, A., El-Amir, M., Abdel-Aziz, M. S., Mukhtar, A., El-Sharawy, A., and Nabil, A., Predictors of Mortality in Living Donor Liver Transplantation., Transplant Proc, vol. 49, no. 6, pp. 1376-1382, 2017.
A. Turusheva, Frolova, E., Hegendoerfer, E., and Degryse, J. - M., Predictors of short-term mortality, cognitive and physical decline in older adults in northwest Russia: a population-based prospective cohort study., Aging clinical and experimental research, vol. 29, pp. 665–673, 2017.
P. U. Gandhi, Chow, S. L., Rector, T. S., Krum, H., Gaggin, H. K., McMurray, J. J., Zile, M. R., Komajda, M., McKelvie, R. S., Carson, P. E., Januzzi, Jr, J. L., and Anand, I. S., Prognostic Value of Insulin-Like Growth Factor-Binding Protein 7 in Patients with Heart Failure and Preserved Ejection Fraction., Journal of cardiac failure, vol. 23, pp. 20–28, 2017.
L. - J. E. Smith, Moore, E., Ali, I., Smeeth, L., Stone, P., and Quint, J. K., Prognostic variables and scores identifying the end of life in COPD: a systematic review., Int J Chron Obstruct Pulmon Dis, vol. 12, pp. 2239-2256, 2017.
K. Jones, Gordon-Weeks, A., Coleman, C., and Silva, M., Radiologically Determined Sarcopenia Predicts Morbidity and Mortality Following Abdominal Surgery: A Systematic Review and Meta-Analysis., World J Surg, vol. 41, no. 9, pp. 2266-2279, 2017.
S. J. Rigatti, Random Forest., J Insur Med, vol. 47, no. 1, pp. 31-39, 2017.
S. J. Rigatti, Random Forest., J Insur Med, vol. 47, no. 1, pp. 31-39, 2017.
B. D. Steinhart, Levy, P., Vandenberghe, H., Moe, G., Yan, A. T., Cohen, A., Thorpe, K. E., McGowan, M., and C Mazer, D., A Randomized Control Trial Using a Validated Prediction Model for Diagnosing Acute Heart Failure in Undifferentiated Dyspneic Emergency Department Patients-Results of the GASP4Ar Study., J Card Fail, vol. 23, no. 2, pp. 145-152, 2017.
B. S. Wessler, Ruthazer, R., Udelson, J. E., Gheorghiade, M., Zannad, F., Maggioni, A., Konstam, M. A., and Kent, D. M., Regional Validation and Recalibration of Clinical Predictive Models for Patients With Acute Heart Failure., Journal of the American Heart Association, vol. 6, 2017.
D. Wesley, Regular Expressions: Mixed Effects Models., J Insur Med, vol. 47, no. 1, pp. 23-30, 2017.
D. Wesley, Regular Expressions: Mixed Effects Models., J Insur Med, vol. 47, no. 1, pp. 23-30, 2017.
C. Florvall, Frederiksen, P., Lauritsen, J., Bandak, M., M Kier, G. G., Mortensen, M. S., Kreiberg, M., and Daugaard, G., Relapse and Mortality Risk of Stage I Testicular Cancer., J Insur Med, vol. 47, no. 2, pp. 114-124, 2017.
C. Florvall, Frederiksen, P., Lauritsen, J., Bandak, M., M Kier, G. G., Mortensen, M. S., Kreiberg, M., and Daugaard, G., Relapse and Mortality Risk of Stage I Testicular Cancer., J Insur Med, vol. 47, no. 2, pp. 114-124, 2017.
A. Schlegel, Linecker, M., Kron, P., Györi, G., De Oliveira, M. L., Müllhaupt, B., Clavien, P. - A., and Dutkowski, P., Risk Assessment in High- and Low-MELD Liver Transplantation., Am J Transplant, vol. 17, no. 4, pp. 1050-1063, 2017.
S. Sun, Ma, F., Li, Q., Bai, M., Li, Y., Yu, Y., Huang, C., Wang, H., and Ning, X., Risk model for deaths and renal replacement therapy dependence in patients with acute kidney injury after cardiac surgery., Interact Cardiovasc Thorac Surg, vol. 25, no. 4, pp. 548-554, 2017.
S. Buccheri, Capodanno, D., Barbanti, M., Rubbio, A. Popolo, Di Salvo, M. Elena, Scandura, S., Mangiafico, S., Ronsivalle, G., Chiaranda, M., Capranzano, P., Grasso, C., and Tamburino, C., A Risk Model for Prediction of 1-Year Mortality in Patients Undergoing MitraClip Implantation., Am J Cardiol, vol. 119, no. 9, pp. 1443-1449, 2017.
H. Mansoor, Elgendy, I. Y., Segal, R., Bavry, A. A., and Bian, J., Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach., Heart Lung, vol. 46, no. 6, pp. 405-411, 2017.

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