Publications

1. Yamanaka-Takaichi M, Nadalian S, Loftus EV, Ehman EC Jr, Todd A, Grimaldo AB, Yalon M, Matchett CL, Patel NB, Isaq NA, Raffals LE, Wetter DA, Murphree DH Jr, Cima RR, Dozois EJ, Goldfarb N, Tizhoosh HR, Alavi A. Differentiating clinical characteristics of perianal inflammatory bowel disease from perianal hidradenitis suppurativa. Int J Dermatol. 2024 Sep 22 Epub 2024 Sept 22
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2. Amadio JM, Grogan M, Muchtar E, Lopez-Jimenez F, Attia ZI, AbouEzzeddine O, Lin G, Dasari S, Kapa S, Borgeson DD, Friedman PA, Gertz MA, Murphree DH Jr, Dispenzieri A. Predictors of mortality by an artificial intelligence enhanced electrocardiogram model for cardiac amyloidosis. ESC Heart Fail. 2024 Aug 31 [Epub ahead of print]
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3. Tourani R, Murphree DH, Sheka A, Melton GB, Kor DJ, Simon GJ. Consensus modeling: Safer transfer learning for small health systems. Artif Intell Med. 2024 Aug; 154:102899 Epub 2024 May 24
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4. McBane RD 2nd, Murphree DH, Liedl D, Lopez-Jimenez F, Arruda-Olson A, Scott CG, Prodduturi N, Nowakowski SE, Rooke TW, Casanegra AI, Wysokinski WE, Houghton DE, Muthusamy K, Wennberg PW. Artificial intelligence of arterial Doppler waveforms to predict major adverse outcomes among patients with diabetes mellitus. J Vasc Surg. 2024 Jul; 80 (1):251-259.e3 Epub 2024 Feb 28
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5. Murphree DH, Kim YH, Sidey KA, Comfere NI, Vidal NY. Artificial intelligence for automatic detection of basal cell carcinoma from frozen tissue tangential biopsies. Clin Exp Dermatol. 2024 Jun 25; 49 (7):719-721
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6. Nejat P, Alsaafin A, Alabtah G, Comfere NI, Mangold AR, Murphree DH, Zot P, Yasir S, Garcia JJ, Tizhoosh HR. Creating an atlas of normal tissue for pruning WSI patching through anomaly detection. Sci Rep. 2024 Feb 16; 14 (1):3932
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7. McBane RD 2nd, Murphree DH, Liedl D, Lopez-Jimenez F, Attia IZ, Arruda-Olson AM, Scott CG, Prodduturi N, Nowakowski SE, Rooke TW, Casanegra AI, Wysokinski WE, Houghton DE, Bjarnason H, Wennberg PW. Artificial Intelligence of Arterial Doppler Waveforms to Predict Major Adverse Outcomes Among Patients Evaluated for Peripheral Artery Disease. J Am Heart Assoc. 2024 Feb 6; 13 (3):e031880 Epub 2024 Jan 19
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8. Harmon DM, Mangold K, Suarez AB, Scott CG, Murphree DH, Malik A, Attia ZI, Lopez-Jimenez F, Friedman PA, Dispenzieri A, Grogan M. Postdevelopment Performance and Validation of the Artificial Intelligence-Enhanced Electrocardiogram for Detection of Cardiac Amyloidosis. JACC Adv. 2023 Oct; 2 (8) Epub 2023 Sept 14
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9. Xie F, Morken CM, Zhang N, Pittelkow MR, Sartori Valinotti JC, Comfere NI, Meves A, Murphree DH, Mangold AR, Lehman JS, Mayo Clinic Lichen Planus Consortium. Development of the lichen planus quality of life questionnaire (LPQoL) informed by expert clinician input and patient feedback: a retrospective survey study. Arch Dermatol Res. 2023 Aug; 315 (6):1561-1569 Epub 2023 Jan 30
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10. Grogan M, Lopez-Jimenez F, Cohen-Shelly M, Dispenzieri A, Attia ZI, Abou Ezzedine OF, Lin GC, Kapa S, Borgeson DD, Friedman PA, Murphree DH Jr. Corrigendum to 'Artificial intelligence-enhanced electrocardiogram for the early detection of cardiac amyloidosis' [Mayo Clinic Proceedings 96 (2021) 2768-2778]. Mayo Clinic Proceedings. 2023 Jan; 98 (1):211
    
11. Jentzer JC, Kashou AH, Murphree DH. Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit. Intelligence-Based Medicine. 2023; 7:100089
    
12. Murphree DH, Puri P, Shamim H, Bezalel SA, Drage LA, Wang M, Pittelkow MR, Carter RE, Davis MDP, Bridges AG, Mangold AR, Yiannias JA, Tollefson MM, Lehman JS, Meves A, Otley CC, Sokumbi O, Hall MR, Comfere N. Deep learning for dermatologists: Part I. Fundamental concepts. J Am Acad Dermatol. 2022 Dec; 87 (6):1343-1351 Epub 2020 May 17
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13. Puri P, Comfere N, Drage LA, Shamim H, Bezalel SA, Pittelkow MR, Davis MDP, Wang M, Mangold AR, Tollefson MM, Lehman JS, Meves A, Yiannias JA, Otley CC, Carter RE, Sokumbi O, Hall MR, Bridges AG, Murphree DH. Deep learning for dermatologists: Part II. Current applications. J Am Acad Dermatol. 2022 Dec; 87 (6):1352-1360 Epub 2020 May 16
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14. Chatterjee S, Jentzer JC, Kashyap R, Keegan MT, Dunlay SM, Passe MA, Loftsgard T, Murphree DH, Stulak JM. Sequential organ failure assessment score improves survival prediction for left ventricular assist device recipients in intensive care. Artif Organs. 2022 Sep; 46 (9):1856-1865 Epub 2022 Apr 17
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15. McBane RD 2nd, Murphree DH, Liedl D, Lopez-Jimenez F, Attia IZ, Arruda-Olson A, Scott CG, Prodduturi N, Nowakowski SE, Rooke TW, Casanegra AI, Wysokinski WE, Swanson KE, Houghton DE, Bjarnason H, Wennberg PW. Artificial intelligence for the evaluation of peripheral artery disease using arterial Doppler waveforms to predict abnormal ankle-brachial index. Vasc Med. 2022 Aug; 27 (4):333-342 Epub 2022 May 10
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16. Chandra A, Takahashi PY, McCoy RG, Thorsteinsdottir B, Hanson GJ, Chaudhry R, Rahman PA, Storlie CB, Murphree DH Jr. Risk Prediction Model for 6-Month Mortality for Patients Discharged to Skilled Nursing Facilities. J Am Med Dir Assoc. 2022 Aug; 23 (8):1403-1408 Epub 2022 Feb 25
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17. Fortune E, Cloud-Biebl BA, Madansingh SI, Ngufor CG, Van Straaten MG, Goodwin BM, Murphree DH, Zhao KD, Morrow MM. Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors. J Electromyogr Kinesiol. 2022 Feb; 62:102337 Epub 2019 July 17
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18. Kanwar A, Patlolla SH, Singh M, Murphree DH, Sundaragiri PR, Jaber WA, Nicholson WJ, Vallabhajosyula S. Temporal Trends, Predictors and Outcomes of Inpatient Palliative Care Use in Cardiac Arrest Complicating Acute Myocardial Infarction. Resuscitation. 2022 Jan; 170:53-62 Epub 2021 Nov 12
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19. Ahmad A, Shelly-Cohen M, Corban MT, Murphree DH Jr, Toya T, Sara JD, Ozcan I, Lerman LO, Friedman PA, Attia ZI, Lerman A. Machine learning aids clinical decision-making in patients presenting with angina and non-obstructive coronary artery disease. Eur Heart J Digit Health. 2021 Dec; 2 (4):597-605 Epub 2021 Oct 14
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20. Grogan M, Lopez-Jimenez F, Cohen-Shelly M, Dispenzieri A, Attia ZI, Abou Ezzedine OF, Lin G, Kapa S, Borgeson DD, Friedman PA, Murphree DH Jr. Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis. Mayo Clin Proc. 2021 Nov; 96 (11):2768-2778 Epub 2021 July 02
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21. Burstein B, Vallabhajosyula S, Ternus B, Murphree D, Barsness GW, Kashani K, Jentzer JC. Outcomes Associated With Norepinephrine Use Among Cardiac Intensive Care Unit Patients with Severe Shock. Shock. 2021 Oct 1; 56 (4):522-528
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22. Cohen-Shelly M, Attia ZI, Friedman PA, Ito S, Essayagh BA, Ko WY, Murphree DH, Michelena HI, Enriquez-Sarano M, Carter RE, Johnson PW, Noseworthy PA, Lopez-Jimenez F, Oh JK. Electrocardiogram screening for aortic valve stenosis using artificial intelligence. Eur Heart J. 2021 Aug 7; 42 (30):2885-2896
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23. Vallabhajosyula S, Patlolla SH, Murphree DH, Cheungpasitporn W, Holme DR Jr, Gersh BJ. Temporal Trends, Management and Outcomes of Acute Myocardial Infarction with Concomitant Respiratory Infections. Am J Cardiol. 2021 Jul 1; 150:1-7 Epub 2021 May 15
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24. Murphree DH, Wilson PM, Asai SW, Quest DJ, Lin Y, Mukherjee P, Chhugani N, Strand JJ, Demuth G, Mead D, Wright B, Harrison A, Soleimani J, Herasevich V, Pickering BW, Storlie CB. Improving the delivery of palliative care through predictive modeling and healthcare informatics. J Am Med Inform Assoc. 2021 Jun 12; 28 (6):1065-1073
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25. Vallabhajosyula S, Verghese D, Bell MR, Murphree DH, Cheungpasitporn W, Miller PE, Dunlay SM, Prasad A, Sandhu GS, Gulati R, Singh M, Lerman A, Gersh BJ, Holmes DR Jr, Barsness GW. Fibrinolysis vs. primary percutaneous coronary intervention for ST-segment elevation myocardial infarction cardiogenic shock. ESC Heart Fail. 2021 Jun; 8 (3):2025-2035 Epub 2021 Mar 11
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26. Jentzer JC, Lawler PR, Katz JN, Wiley BM, Murphree DH, Bell MR, Barsness GW, Kor DJ. Red blood cell transfusion threshold and mortality in cardiac intensive care unit patients. Am Heart J. 2021 May; 235:24-35 Epub 2021 Jan 23
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27. Jentzer JC, Anavekar NS, Reddy YNV, Murphree DH, Wiley BM, Oh JK, Borlaug BA. Right Ventricular Pulmonary Artery Coupling and Mortality in Cardiac Intensive Care Unit Patients. J Am Heart Assoc. 2021 Apr 6; 10 (7):e019015 Epub 2021 Mar 28
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28. Arias-Mejias SM, Quattrocchi E, Tempel D, Luna-Vargas M, Chen J, Murphree DH, Gjorgova Gjeorgjievski S, Lehman JS, Bridges AG, Dwarkasing J, Meves A. Primary cutaneous melanoma risk stratification using a clinicopathologic and gene expression model: a pilot study. Int J Dermatol 2020 Nov; 59 (11):e431-e433 Epub 2020 June 09
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29. Eggermont AMM, Bellomo D, Arias-Mejias SM, Quattrocchi E, Sominidi-Damodaran S, Bridges AG, Lehman JS, Hieken TJ, Jakub JW, Murphree DH, Pittelkow MR, Sluzevich JC, Cappel MA, Bagaria SP, Perniciaro C, Tjien-Fooh FJ, Rentroia-Pacheco B, Wever R, van Vliet MH, Dwarkasing J, Meves A. Identification of stage I/IIA melanoma patients at high risk for disease relapse using a clinicopathologic and gene expression model. Eur J Cancer. 2020 Nov; 140:11-18 Epub 2020 Oct 05
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30. Quattrocchi E, Sominidi-Damodaran S, Murphree DH, Meves A. beta3 integrin immunohistochemistry as a method to predict sentinel lymph node status in patients with primary cutaneous melanoma. Int J Dermatol. 2020 Oct; 59 (10):1241-1248 Epub 2020 Aug 09
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31. Jentzer JC, van Diepen S, Murphree DH, Ismail AS, Keegan MT, Morrow DA, Barsness GW, Anavekar NS. Admission diagnosis and mortality risk prediction in a contemporary cardiac intensive care unit population. Am Heart J. 2020 Jun; 224:57-64 Epub 2020 Feb 28
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32. Jentzer JC, Wiley B, Bennett C, Murphree DH, Keegan MT, Gajic O, Kashani KB, Barsness GW. Early noncardiovascular organ failure and mortality in the cardiac intensive care unit. Clin Cardiol. 2020 May; 43 (5):516-523 Epub 2020 Jan 30
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33. Jentzer JC, Wiley B, Bennett C, Murphree DH, Keegan MT, Kashani KB, Bell MR, Barsness GW. Temporal Trends and Clinical Outcomes Associated with Vasopressor and Inotrope Use in The Cardiac Intensive Care Unit. Shock. 2020 Apr; 53 (4):452-459
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34. Lyle M, Wan SH, Murphree D, Bennett C, Wiley BM, Barsness G, Redfield M, Jentzer J. Predictive Value of the Get With The Guidelines Heart Failure Risk Score in Unselected Cardiac Intensive Care Unit Patients. J Am Heart Assoc. 2020 Feb 4; 9 (3):e012439 Epub 2020 Jan 28
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35. Breen T, Brueske B, Sidhu MS, Murphree DH, Kashani KB, Barsness GW, Jentzer JC. Abnormal Serum Sodium is Associated With Increased Mortality Among Unselected Cardiac Intensive Care Unit Patients. J Am Heart Assoc. 2020 Jan 21; 9 (2):e014140 Epub 2020 Jan 09
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36. Vallabhajosyula S, Subramaniam AV, Murphree DH Jr, Patlolla SH, Ya'Qoub L, Kumar V, Verghese D, Cheungpasitporn W, Jentzer JC, Sandhu GS, Gulati R, Shah ND, Gersh BJ, Holmes DR Jr, Bell MR, Barsness GW. Complications from percutaneous-left ventricular assist devices versus intra-aortic balloon pump in acute myocardial infarction-cardiogenic shock. PLoS One. 2020; 15 (8):e0238046 Epub 2020 Aug 24
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37. Tourani R, Murphree DH, Zhu Y, Sheka A, Melton GB, Kor DJ, Simon GJ. Consensus modeling: A transfer learning approach for small health systems. Lecture Notes in Computer Science. 2020; 12299 LNAI:181-91
    
38. Jentzer JC, Anavekar NS, Brenes-Salazar JA, Wiley B, Murphree DH, Bennett C, Murphy JG, Keegan MT, Barsness GW. Admission Braden Skin Score Independently Predicts Mortality in Cardiac Intensive Care Patients. Mayo Clin Proc. 2019 Oct; 94 (10):1994-2003
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39. Jentzer JC, Anavekar NS, Bennett C, Murphree DH, Keegan MT, Wiley B, Morrow DA, Murphy JG, Bell MR, Barsness GW. Derivation and Validation of a Novel Cardiac Intensive Care Unit Admission Risk Score for Mortality. J Am Heart Assoc. 2019 Sep 3; 8 (17):e013675 Epub 2019 Aug 29
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40. Tourani R, Murphree DH, Melton-Meaux G, Wick E, Kor DJ, Simon GJ. The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites. Stud Health Technol Inform. 2019 Aug 21; 264:398-402
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41. Vallabhajosyula S, Prasad A, Dunlay SM, Murphree DH Jr, Ingram C, Mueller PS, Gersh BJ, Holmes DR Jr, Barsness GW. Utilization of Palliative Care for Cardiogenic Shock Complicating Acute Myocardial Infarction: A 15-Year National Perspective on Trends, Disparities, Predictors, and Outcomes. J Am Heart Assoc. 2019 Aug 6; 8 (15):e011954 Epub 2019 July 18
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42. Wang MZ, Comfere NI, Murphree DH. Deep learning for automating the organization of institutional dermatology image stores Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2019 Jul; 4479-82. Epub 1900 Jan 01.
    
43. Vallabhajosyula S, Dunlay SM, Murphree DH Jr, Barsness GW, Sandhu GS, Lerman A, Prasad A. Cardiogenic Shock in Takotsubo Cardiomyopathy Versus Acute Myocardial Infarction: An 8-Year National Perspective on Clinical Characteristics, Management, and Outcomes. JACC Heart Fail. 2019 Jun; 7 (6):469-476 Epub 2019 May 08
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44. Chandra A, Rahman PA, Sneve A, McCoy RG, Thorsteinsdottir B, Chaudhry R, Storlie CB, Murphree DH Jr, Hanson GJ, Takahashi PY. Risk of 30-Day Hospital Readmission Among Patients Discharged to Skilled Nursing Facilities: Development and Validation of a Risk-Prediction Model. J Am Med Dir Assoc. 2019 Apr; 20 (4):444-450.e2 Epub 2019 Mar 07
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45. Bennett CE, Wright RS, Jentzer J, Gajic O, Murphree DH, Murphy JG, Mankad SV, Wiley BM, Bell MR, Barsness GW. Severity of illness assessment with application of the APACHE IV predicted mortality and outcome trends analysis in an academic cardiac intensive care unit. J Crit Care. 2019 Apr; 50:242-246 Epub 2018 Dec 24
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46. Madansingh SI, Murphree DH, Kaufman KR, Fortune E. Assessment of gait kinetics in post-menopausal women using tri-axial ankle accelerometers during barefoot walking. Gait Posture. 2019 Mar; 69:85-90 Epub 2019 Jan 15
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47. Jentzer JC, Bennett C, Wiley BM, Murphree DH, Keegan MT, Barsness GW. Predictive value of individual Sequential Organ Failure Assessment sub-scores for mortality in the cardiac intensive care unit. PLoS One. 2019; 14 (5):e0216177 Epub 2019 May 20
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48. Fitzgerald S, Wang S, Dai D, Murphree DH Jr, Pandit A, Douglas A, Rizvi A, Kadirvel R, Gilvarry M, McCarthy R, Stritt M, Gounis MJ, Brinjikji W, Kallmes DF, Doyle KM. Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots. PLoS One. 2019; 14 (12):e0225841 Epub 2019 Dec 05
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49. Murphree DH, Arabmakki E, Ngufor C, Storlie CB, McCoy RG. Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes. Comput Biol Med. 2018 Dec 1; 103:109-115 Epub 2018 Oct 16
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50. Vallabhajosyula S, Jentzer JC, Kotecha AA, Murphree DH Jr, Barreto EF, Khanna AK, Iyer VN. Development and performance of a novel vasopressor-driven mortality prediction model in septic shock. Ann Intensive Care. 2018 Nov 22; 8 (1):112
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51. Jentzer JC, Murphree DH, Wiley B, Bennett C, Goldfarb M, Keegan MT, Murphy JG, Wright RS, Barsness GW. Comparison of Mortality Risk Prediction Among Patients >/=70 Versus <70 Years of Age in a Cardiac Intensive Care Unit. Am J Cardiol. 2018 Nov 15; 122 (10):1773-1778 Epub 2018 Aug 22
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52. Hujoel IA, Murphree DH Jr, Van Dyke CT, Choung RS, Sharma A, Murray JA, Rubio-Tapia A. Machine Learning in Detection of Undiagnosed Celiac Disease. Clin Gastroenterol Hepatol. 2018 Aug; 16 (8):1354-1355.e1 Epub 2017 Dec 16
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53. Murphree DH, Quest DJ, Allen RM, Ngufor C, Storlie CB. Deploying Predictive Models In A Healthcare Environment - An Open Source Approach. Conf Proc IEEE Eng Med Biol Soc. 2018 Jul; 2018:6112-6116
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54. Jentzer JC, Bennett C, Wiley BM, Murphree DH, Keegan MT, Gajic O, Wright RS, Barsness GW. Predictive Value of the Sequential Organ Failure Assessment Score for Mortality in a Contemporary Cardiac Intensive Care Unit Population. J Am Heart Assoc. 2018 Mar 10; 7 (6)
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55. Ngufor C, Warner MA, Murphree DH, Liu H, Carter R, Storlie CB, Kor DJ. Multitask LS-SVM for Predicting Bleeding and Re-operation due to Bleeding. Healthcare Informatics (ICHI), 2017 IEEE International Conference on. 2017; 56-65.
    
56. Upadhyaya SG, Murphree DH Jr, Ngufor CG, Knight AM, Cronk DJ, Cima RR, Curry TB, Pathak J, Carter RE, Kor DJ. Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility. Mayo Clin Proc Innov Qual Outcomes. 2017 Jul; 1 (1):100-110 Epub 2017 Apr 28
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57. Murphree DH, Kinard TN, Khera N, Storlie CB, Ngufor C, Upadhyaya S, Pathak J, Fortune E, Jacob EK, Carter RE, Poterack KA, Kor DJ. Measuring the impact of ambulatory red blood cell transfusion on home functional status: study protocol for a pilot randomized controlled trial. Trials. 2017 Mar 31; 18 (1):153
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58. Ngufor C, Warner MA, Murphree DH, Liu H, Carter R, Storlie CB, Kor DJ. Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering. AMIA Annu Symp Proc. 2017; 2017:1332-1341 Epub 2018 Apr 16
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59. Ngufor C, Murphree D, Upadhyaya S, Madde N, Pathak J, Carter R, Kor D. Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion. AMIA Annu Symp Proc. 2016; 2016:954-963 Epub 2017 Feb 10
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60. Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar R Madde, Daryl J Kor, Jyotishman Pathak. Effects of plasma transfusion on perioperative bleeding complications: A machine learning approach. Proc of the 15th World Congress on Medical and Health Informatics, São Paulo, Brazil. 2015 Aug.
    
61. Murphree D, Ngufor C, Upadhyaya S, Madde N, Clifford L, Kor DJ, Pathak J. Ensemble learning approaches to predicting complications of blood transfusion. Conf Proc IEEE Eng Med Biol Soc. 2015 Aug; 2015:7222-5.
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62. Ngufor C, Upadhyaya S, Murphree D, Madde N, Kor D, Pathak J. A heterogeneous multi-task learning for predicting RBC transfusion and perioperative outcomes Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2015; 9105:287-97. Epub 1900 Jan 01.
    
63. Ngufor C, Murphree D, Upadhyaya S, Madde N, Kor D, Pathak J. Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach. Stud Health Technol Inform. 2015; 216:721-5
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64. Ngufor C, Upadhyaya S, Murphree D, Kor D, Pathak J. Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015. 2015; 7344836. Epub 1900 Jan 01.
    
65. Murphree DH, Clifford L, Lin Y, Madde N, Ngufor C, Upadhyaya S, Pathak J, Kor DJ. Predicting adverse reactions to blood transfusion Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015. 2015; 82-9.
    
66. Murphree DH, Clifford L, Lin Y, Madde N, Ngufor C, Upadhyaya S, Pathak J, Kor DJ. A clinical decision support system for preventing adverse reactions to blood transfusion Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015. 2015; 100-4.
    
67. SB Cahn, J Ammon, E Kirilov, YV Gurevich, D Murphree, R Paolino, D Rahmlow, MG Kozlov, D DeMille. Zeeman-tuned rotational level-crossing spectroscopy in a diatomic free radical. Physical Review Letters. 2014; 112(16).
    
68. DeMille D, Cahn SB, Murphree DH, Rahmlow DA, Kozlov MG. Using molecules to measure nuclear spin-dependent parity violation. Phys Rev Lett. 2008 Jan 18; 100: (2)023003.
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69. D Murphree, SB Cahn, D Rahmlow, D DeMille. An Easily Constructed, Tuning Free, Ultra-broadband Probe for NMR. Journal of Magnetic Resonance.1, September 2007;188:(1):160-167.
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