References

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J. E. Tuttle-Newhall, Rutledge, R., Hultman, C. S., and Fakhry, S. M., Statewide, population-based, time-series analysis of the frequency and outcome of pulmonary embolus in 318,554 trauma patients., J Trauma, vol. 42, no. 1, pp. 90-9, 1997.
E. TUTTLE, Hypotension or hypertension with hypercholesterolemia and their therapy., J Insur Med, vol. 6, no. 1, pp. 7-10, 1950.
E. TUTTLE, Methods of the early determination of atherosclerosis and preventive measures., J Insur Med, vol. 5, no. 4, pp. 45-7, 1950.
R. J. Tuthill, Unger, J. M., Liu, P. Y., Flaherty, L. E., and Sondak, V. K., Risk assessment in localized primary cutaneous melanoma: a Southwest Oncology Group study evaluating nine factors and a test of the Clark logistic regression prediction model., Am J Clin Pathol, vol. 118, no. 4, pp. 504-11, 2002.
A. Turusheva, Frolova, E., Bert, V., Hegendoerfer, E., and Degryse, J. - M., Validation of a new mortality risk prediction model for people 65 years and older in northwest Russia: The Crystal risk score., Arch Gerontol Geriatr, vol. 71, pp. 105-114, 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 Clin Exp Res, vol. 29, no. 4, pp. 665-673, 2017.
J. S. Turner, Morgan, C. J., Thakrar, B., and Pepper, J. R., Difficulties in predicting outcome in cardiac surgery patients., Crit Care Med, vol. 23, no. 11, pp. 1843-50, 1995.
P. C. Turner, Eglin, R. E., Woodward, C. G., and Porter, G. S., Salivary testing for HIV infection., BMJ, vol. 305, no. 6861, p. 1093, 1992.
N. Tuncbilek, Tokatli, F., Altaner, S., Sezer, A., Ture, M., Omurlu, I. Kurt, and Temizoz, O., Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients., Eur J Radiol, vol. 81, no. 5, pp. 863-7, 2012.
P. Tugwell and J Knottnerus, A., Clinical prediction models are not being validated., J Clin Epidemiol, vol. 68, no. 1, pp. 1-2, 2015.
J. V. Tu, Austin, P. C., Walld, R., Roos, L., Agras, J., and McDonald, K. M., Development and validation of the Ontario acute myocardial infarction mortality prediction rules., J Am Coll Cardiol, vol. 37, no. 4, pp. 992-7, 2001.
J. V. Tu, Weinstein, M. C., McNeil, B. J., and Naylor, C. D., Predicting mortality after coronary artery bypass surgery: what do artificial neural networks learn? The Steering Committee of the Cardiac Care Network of Ontario., Med Decis Making, vol. 18, no. 2, pp. 229-35, 1998.
G. G. Tsaousi, Pitsis, A. A., Ioannidis, G. D., Pourzitaki, C. K., Yannacou-Peftoulidou, M. N., and Vasilakos, D. G., Implementation of EuroSCORE II as an adjunct to APACHE II model and SOFA score, for refining the prognostic accuracy in cardiac surgical patients., J Cardiovasc Surg (Torino), vol. 56, no. 6, pp. 919-27, 2015.
E. Trube-Becker, [Autopsy report and cause of death statistics]., Versicherungsmedizin, vol. 43, no. 2, pp. 37-41, 1991.
G. - E. Trott, [Attention deficit-hyperactivity disorder and ergotherapy]., Versicherungsmedizin, vol. 57, no. 4, p. 199; author reply 199, 2005.
J. Trojan, [Colorectal cancer--current screening, treatment and follow-up standards]., Versicherungsmedizin, vol. 63, no. 3, pp. 132-6, 2011.
A. W. Trickey, Fox, E. E., del Junco, D. J., Ning, J., Holcomb, J. B., Brasel, K. J., Cohen, M. J., Schreiber, M. A., Bulger, E. M., Phelan, H. A., Alarcon, L. H., Myers, J. G., Muskat, P., Cotton, B. A., Wade, C. E., and Rahbar, M. H., The impact of missing trauma data on predicting massive transfusion., J Trauma Acute Care Surg, vol. 75, no. 1 Suppl 1, pp. S68-74, 2013.
S. P. Travis, Review article: insurance risks for patients with ulcerative colitis or Crohn's disease., Aliment Pharmacol Ther, vol. 11, no. 1, pp. 51-9, 1997.
J. TRAVENICK, Has experience to date shown the intervertebral disc to be a hazard from a life and disability standpoint?, J Insur Med, vol. 5, no. 3, p. 43, 1950.
C. Trautwein and Manns, M. P., [Chronic viral hepatitis--diagnosis, therapy and prognosis]., Versicherungsmedizin, vol. 51, no. 1, pp. 3-11, 1999.
R. M. TOVELL and STEVEN, R. J. M., Tools for the evaluation of patients undergoing anesthesia., J Insur Med, vol. 5, no. 4, pp. 6-10, 1950.
I. K. Toumpoulis, Anagnostopoulos, C. E., DeRose, J. J., and Swistel, D. G., Does EuroSCORE predict length of stay and specific postoperative complications after coronary artery bypass grafting?, Int J Cardiol, vol. 105, no. 1, pp. 19-25, 2005.
I. K. Toumpoulis, Anagnostopoulos, C. E., Ioannidis, J. P., Toumpoulis, S. K., Chamogeorgakis, T., Swistel, D. G., and Derose, J. J., The importance of independent risk-factors for long-term mortality prediction after cardiac surgery., Eur J Clin Invest, vol. 36, no. 9, pp. 599-607, 2006.
I. K. Toumpoulis, Anagnostopoulos, C. E., Toumpoulis, S. K., DeRose, J. J., and Swistel, D. G., EuroSCORE predicts long-term mortality after heart valve surgery., Ann Thorac Surg, vol. 79, no. 6, pp. 1902-8, 2005.
B. Toson, Harvey, L. A., and Close, J. C. T., New ICD-10 version of the Multipurpose Australian Comorbidity Scoring System outperformed Charlson and Elixhauser comorbidities in an older population., J Clin Epidemiol, vol. 79, pp. 62-69, 2016.

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