Peer Reviewed Journal Articles

Burke HB. An Adaptive Healthcare Organization Can Effectively Respond to Medical Crises. Int J Public Health 2023 Aug 11. doi: 10.3389/ijph.2023.1605581.

Burke HB. Use the Receiver Operating Characteristic to Assess Model Accuracy. JAMA Cardiology 2023 Aug 09.

Burke HB. Standardized Documentation Is Not the Solution to Reduce Physician Time in the Electronic Health Record. JAMA Oncology 2023 Aug.

Burke HB. Gleason 6 prostate cancer: That which cannot be named. Frontiers in Oncology, in press. 2022 Dec 05. doi: 10.3389/fonc.2022.1073580.

Burke HB. Quantifying diagnostic excellence. Diagnosis (Berl). 2022 Nov 23. doi: 10.1515/dx-20220104.

Burke HB, King HB. Responses of physicians to an objective safety and quality knowledge test: a cross-sectional study. BMJ Open. 2021 Sep 15;11(9):e040779. doi: 10.1136/bmjopen-2020-040779.

Burke HB. Deep digital convergence: pathology, radiology and clinical molecular biology in the 21st Century. J Pathol Inform 2019;10:S62-65.

Burke HB, Kopetz S. Is the Patient Cured? JAMA Oncol. 2019 Oct 17. doi: 10.1001/jamaoncol.2019.3612.

Burke HB. Independent imaging biomarkers do not exist. Nat Rev Clin Oncol. 2017 Jul;14(7):452.

Gardner CL, Liu F, Fontelo P, Hoang A, Burke HB. Assessing the usability by clinicians of VISION: A hierarchical display of patient-collected physiological information to clinicians. BMC Med Inform Decis Mak 2017 Apr;17(1):41.

Burke HB. Improving the safety and quality of cancer care. Cancer. 2017 Feb;123(4):549-550.

Gardner CL, Flanagan MC, Franklin C, John Sawyers C, Walsh Pouch, Bryant J, Romano CA, Gibbons S, De Jong M, Hoang A, Becher DA, Burke HB. Electronic physiologic and subjective data acquisition in home-dwelling heart failure patients: An assessment of patient use and perception of usability. Int J Med Inform 2016 Sep;93:42-48.

Burke HB. Predicting clinical outcomes using molecular biomarkers. Biomarkers in Cancer 2016 Jun:8:89-99. 

Burke HB, Becher DA, Hoang, A, Gimbel RW. The adoption of an electronic health record did not improve A1c values in Type 2 diabetes. J Innov Health Inform 2016 Apr;23(1):433-438.

Bunt CW, Burke HB, Towbin AJ, Hoang A, Stephens MB, Fontelo P, Liu F, Gimbel RW. Point-of-care estimated radiation exposure and imaging guidelines can reduce pediatric radiation exposure. J Am Board Family Med 2015 May-June;28(3):343-350.

Burke HB, Sessums LL, Hoang A, Becher DA, Fontelo P, Liu F, Stephens M, Pangaro LN, O’Malley PG, Baxi NS, Bunt CW, Capaldi VF, Chen JM, Cooper BA, Djuric DA, Hodge JA, Kane S, Magee C, Makary ZR, Mallory RM, Miller T, Saperstein A, Servey J, Gimbel RW. Electronic health records improve note quality. J Am Med Inform Assoc 2015 Jan;22(1):199-205.

Burke HB, Hoang A, Becher D, Fontelo P, Liu F, Stephens M, Pangaro LN, Sessums LL, O’Malley P, Baxi NS, Bunt CW, Capaldi VF, Chen JM, Cooper BA, Djuric DA, Hodge JA, Kane S, Magee C, Makary ZR, Mallory RM, Miller T, Saperstein A, Servey J, Gimbel RW. QNOTE: An instrument for measuring the quality of EHR clinical notes. J Am Med Inform Assoc 2014 Sept-Oct;21(5):910-916.

Pavlovich CP, Cornish TC, Mullins JK, Fradin J, Mettee LZ, Connor JT, Reese AC, Askin FB, Luck R, Epstein JI, Burke HB. High-resolution transrectal ultrasound: Pilot study of a novel technique for imaging clinically localized prostate cancer. Urol Oncol 2014 Jan;32(1):34.e27-32.

Burke HB. An organismic view of cancer. J Natl Cancer Inst 2013 Jul;105(14):1003-4.

Gimbel RW, Fontelo P, Stephens MB, Olsen CH, Bunt C, Ledford CJ, Loveland Cook CA, Liu F, Burke HB. Radiation exposure and cost influence physician medical image decision making: A randomized controlled trial. Med Care 2013 Jul;51(7):628-32.

Culver JO, MacDonald DJ, Thornton AA, Sand SR, Grant M, Bowen DJ, Burke HB, Garcia N, Metcalfe, KA, Weitzel JN. Development and Evaluation of a Decision Aid for BRCA Carriers with Breast Cancer. J Genet Counsel 2011 Jun;20:294-307.

Brown SM, Culver JO, Osann KE, Macdonald DJ, Sand S, Thornton AA, Grant M, Bowen DJ, Metcalfe KA, Burke HB, Robson ME, Friedman S, Weitzel JN. Health literacy, numeracy, and interpretation of graphical breast cancer risk estimates. Patient Educ Couns 2011 Apr;83(1):92-98.

Burke HB. War is persuasion. Critical Review 2009;21(1):1-3.

Burke HB. Power of prediction. Cancer 2008 Sept;113(5):890-2.

Cahan P, Ahmad AM, Burke HB, Fu S, Lai Y, Florea L, Dharker N, Kobrinski T, Kale P, McCaffrey TA. List of list-annotated (LOLA): A database for annotation and comparison of published microarray gene lists. Gene 2005;360:78-82.

Burke HB. Proteomics: Analysis of spectral data. Cancer Informatics 2005;1:15-24.

Burke HB. Re: Colon cancer survival rates with the new American Joint Committee on Cancer sixth edition staging. J Natl Cancer Inst 2005;97:1797.

Burke HB. Re: Colon cancer survival rates with the new American Joint Committee on Cancer sixth edition staging. J Natl Cancer Inst 2005;97:464-5.

Burke HB. Outcome prediction and the future of the TNM staging system. J Natl Cancer Inst 2004 Oct;96(19):1408-9.

Bostwick DG, Burke HB. Prediction of individual patient outcome in cancer: Comparison of artificial neural networks and Kaplan-Meier methods. Cancer 2000 Apr1;91(8 suppl):1643-46.

Burke HB. Discovering patterns in microarray data. Mol Diagnosis, 2000 Dec;5(4):349-357.

Lundin M, Lundin J, Burke HB, Toikkanen S, Pylkkanen l, Joensuu H. Artificial neural networks applied to survival prediction in breast cancer. Oncology 1999 Nov;57(4):281-286.

Burke HB, Henson DE. Evaluating prognostic factors. CME J Gyn Onc 1999;4:244-252.

Burke HB, Henson DE. Specimen banks for prognostic factor research. Arch Path Lab Med, 1998 Oct;122(10):871-874. 

Burke HB, Hoang A, Iglehart JD, Marks JR. Predicting response to adjuvant and radiation therapy in early stage breast cancer. Cancer 1998 Mar;82(5):874-7.

Burke HB. Henson DE. Histologic grade as a prognostic factor in breast carcinoma. Cancer 1997 Nov;80(9):1703-1705.

Burke HB, Goodman PH, Rosen DB, Henson DE, Weinstein JN, Harrell Jr. FE, Marks JR, Winchester DP, Bostwick DG. Artificial neural networks improve the accuracy of cancer survival prediction. Cancer 1997 Feb;79(4):857-62.

Rosen DB, Burke HB, Goodman PH. Improving prediction accuracy using a calibration postprocessor. In, WCNN’96, World Congress on Neural Networks, International Neural Network Society 1996 Annual Meeting, San Diego CA, p. 1215-1220. Mahwah, NJ: Lawrence Erlbaum Associates, 1996.

Bostwick DG, Burke HB, Wheeler TM, Chung LWK, Bookstein R, Pretlow TG, et al. The most promising surrogate endpoint biomarkers for screening candidate chemopreventive compounds for prostatic adenocarcinoma in short-term phase II clinical trials. J Cell Biochem Suppl 1994;19:283-89.

Burke HB. Increasing the power of surrogate endpoint biomarkers: the aggregation of predictive factors. J Cell Biochem 1994;19S:278-82.

Burke HB, Henson DE. Criteria for prognostic factors and for an enhanced prognostic system. Cancer 1993 Nov;72(10):3131-5.

Books & Book Chapters

Burke HB. Safety, Quality and Value. In, W.R. Hersh (Ed.), Health Informatics, 8th Edition. Informatics Education, 2022.

Burke HB. Safety, Quality and Value. In, R.E. Hoyt & W.R. Hersh (Eds.), Health Informatics, 7th Edition,  Informatics Education, 2018

Burke HB. What combination of factors predict my outcome? In, D Bostwick et al. (Eds.) American Cancer Society’s Complete Guide to Prostate Cancer. Atlanta, GA: American Cancer Society, 2005.

Burke HB, Godec CJ. How important is finding prostate cancer early? In, D Bostwick et al. (Eds.) American Cancer Society’s Complete Guide to Prostate Cancer. Atlanta, GA: American Cancer Society, 2005.

Burke HB. Integrating multiple clinical tests to increase predictive accuracy. In, M. Hanausek, Z.     Walaszek (Eds.), Methods in Molecular Biology:, Vol. XX: Tumor Marker Protocols. Totowa, N.J., Humana Press Inc., 1998, Chapter 1, 3 - 10.

Burke HB. Statistical analysis of complex systems in biomedicine. In, D. Fisher and H. Lenz (Eds.), Learning from Data: Artificial Intelligence and Statistics V. New York: Springer-Verlag, 1996, 251-258.

Burke HB, Rosen DB, Goodman PH. Comparing the prediction accuracy of artificial neural networks and other statistical models for breast cancer survival. In, G. Tesauro, D.S. Touretzky, T.K. Leen (Eds.), Advances in Neural Information Processing Systems 7. Cambridge, MA; MIT Press, 1995, 1063-67.

Burke HB, Hutter RVP, Henson DE. Breast Carcinoma. In, P Hermanek, MK Gospadoriwicz, DE Henson, RVP Hutter, LH Sobin (Eds.), UICC Prognostic Factors in Cancer. Berlin: Springer-Verlag, 1995, 165-176.