Dennis H. Murphree

发表

Deep Learning for Automating the Organization of Institutional Dermatology Image Stores*

Michael Z. Wang, Nneka I. Comfere, Dennis H. Murphree, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Assessment of gait kinetics in post-menopausal women using tri-axial ankle accelerometers during barefoot walking.

Dennis H. Murphree, K. Kaufman, E. Fortune, 2019, Gait & posture.

AUTOMATED DIABETES PHENOTYPING USING HEALTH CARE

Dennis H. Murphree, Daniel J. Cronk, J. Pathak, 2017 .

Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility

Dennis H. Murphree, Daniel J. Cronk, J. Pathak, 2017, Mayo Clinic proceedings. Innovations, quality & outcomes.

Abnormal Serum Sodium is Associated With Increased Mortality Among Unselected Cardiac Intensive Care Unit Patients

Dennis H. Murphree, K. Kashani, T. Breen, 2020, Journal of the American Heart Association.

Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots

Dennis H. Murphree, D. Kallmes, A. Pandit, 2019, PloS one.

Consensus Modeling: A Transfer Learning Approach for Small Health Systems

György J. Simon, Ying Zhu, Genevieve B. Melton, 2020, AIME.

Deep Learning for Dermatologists: Part II. Current Applications.

Matthew R. Hall, Dennis H. Murphree, R. Carter, 2020, Journal of the American Academy of Dermatology.

Derivation and Validation of a Novel Cardiac Intensive Care Unit Admission Risk Score for Mortality

Dennis H. Murphree, M. Bell, D. Morrow, 2019, Journal of the American Heart Association.

Predictive Value of the Get With The Guidelines Heart Failure Risk Score in Unselected Cardiac Intensive Care Unit Patients

Dennis H. Murphree, M. Redfield, B. Wiley, 2020, Journal of the American Heart Association.

Predictive value of individual Sequential Organ Failure Assessment sub-scores for mortality in the cardiac intensive care unit

Dennis H. Murphree, M. Keegan, B. Wiley, 2019, PloS one.

Predictive Value of the Sequential Organ Failure Assessment Score for Mortality in a Contemporary Cardiac Intensive Care Unit Population

Dennis H. Murphree, M. Keegan, O. Gajic, 2018, Journal of the American Heart Association.

Admission diagnosis and mortality risk prediction in a contemporary cardiac intensive care unit population.

Dennis H. Murphree, D. Morrow, M. Keegan, 2020, American heart journal.

Temporal Trends and Clinical Outcomes Associated with Vasopressor and Inotrope Use In The Cardiac Intensive Care Unit.

Dennis H. Murphree, M. Bell, K. Kashani, 2020, Shock.

Admission Braden Skin Score Independently Predicts Mortality in Cardiac Intensive Care Patients.

Dennis H. Murphree, M. Keegan, B. Wiley, 2019, Mayo Clinic proceedings.

Red blood cell transfusion threshold and mortality in cardiac intensive care unit patients.

Dennis H. Murphree, M. Bell, P. Lawler, 2021, American heart journal.

Early noncardiovascular organ failure and mortality in the cardiac intensive care unit

Dennis H. Murphree, K. Kashani, M. Keegan, 2020, Clinical cardiology.

Comparison of Mortality Risk Prediction Among Patients ≥70 Versus <70 Years of Age in a Cardiac Intensive Care Unit.

Dennis H. Murphree, M. Keegan, B. Wiley, 2018, The American journal of cardiology.

Development and performance of a novel vasopressor-driven mortality prediction model in septic shock

Dennis H. Murphree, E. Barreto, A. Khanna, 2018, Annals of Intensive Care.

Right Ventricular Pulmonary Artery Coupling and Mortality in Cardiac Intensive Care Unit Patients

Dennis H. Murphree, J. Oh, B. Borlaug, 2021, Journal of the American Heart Association.

Measuring the impact of ambulatory red blood cell transfusion on home functional status: study protocol for a pilot randomized controlled trial

Dennis H. Murphree, J. Pathak, C. Storlie, 2017, Trials.

Artificial intelligence for the evaluation of peripheral artery disease using arterial Doppler waveforms to predict abnormal ankle-brachial index

Adelaide M. Arruda-Olson, Dennis H. Murphree, Itzhak Z. Attia, 2022, Vascular medicine.

Utilization of Palliative Care for Cardiogenic Shock Complicating Acute Myocardial Infarction: A 15‐Year National Perspective on Trends, Disparities, Predictors, and Outcomes

Dennis H. Murphree, B. Gersh, D. Holmes, 2019, Journal of the American Heart Association.

Abstract TP54: Machine-Learned Characterization of Acute Ischemic Stroke Clots Reveals a Correlation Between Clot Composition and Density on CT

Dennis H. Murphree, D. Kallmes, A. Pandit, 2018 .

Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis.

Dennis H. Murphree, F. Lopez‐Jimenez, A. Dispenzieri, 2021, Mayo Clinic proceedings.

β3 integrin immunohistochemistry as a method to predict sentinel lymph node status in patients with primary cutaneous melanoma

Dennis H. Murphree, A. Meves, Enrica Quattrocchi, 2020, International journal of dermatology.

Identification of stage I/IIA melanoma patients at high risk for disease relapse using a clinicopathologic and gene expression model.

Dennis H. Murphree, A. Eggermont, M. Pittelkow, 2020, European journal of cancer.

Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering

Hongfang Liu, Curtis B. Storlie, Rickey E. Carter, 2017, AMIA.

Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2016, MedInfo.

Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit

Dennis H. Murphree, J. Jentzer, A. Kashou, 2023, Intelligence-Based Medicine.

Electrocardiogram screening for aortic valve stenosis using artificial intelligence.

Dennis H. Murphree, Patrick W. Johnson, P. Noseworthy, 2021, European heart journal.

Fibrinolysis vs. primary percutaneous coronary intervention for ST‐segment elevation myocardial infarction cardiogenic shock

Dennis H. Murphree, B. Gersh, M. Bell, 2021, ESC heart failure.

Deep Learning for Dermatologists: Part I Fundamental Concepts.

Matthew R. Hall, Dennis H. Murphree, R. Carter, 2020, Journal of the American Academy of Dermatology.

Severity of illness assessment with application of the APACHE IV predicted mortality and outcome trends analysis in an academic cardiac intensive care unit

Dennis H. Murphree, M. Bell, O. Gajic, 2019, Journal of critical care.

Cardiogenic Shock in Takotsubo Cardiomyopathy Versus Acute Myocardial Infarction: An 8-Year National Perspective on Clinical Characteristics, Management, and Outcomes.

Dennis H. Murphree, S. Dunlay, A. Lerman, 2019, JACC. Heart failure.

Risk of 30-Day Hospital Readmission Among Patients Discharged to Skilled Nursing Facilities: Development and Validation of a Risk-Prediction Model.

Dennis H. Murphree, C. Storlie, R. McCoy, 2019, Journal of the American Medical Directors Association.

Machine learning aids clinical decision-making in patients presenting with angina and non-obstructive coronary artery disease

Dennis H. Murphree, L. Lerman, A. Lerman, 2021, European heart journal. Digital health.

Improving the delivery of palliative care through predictive modeling and healthcare informatics

Brian W. Pickering, Vitaly Herasevich, Curtis B. Storlie, 2021, J. Am. Medical Informatics Assoc..

The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites

György J. Simon, Dennis Murphree, Daryl J. Kor, 2019, MedInfo.

Complications from percutaneous-left ventricular assist devices versus intra-aortic balloon pump in acute myocardial infarction-cardiogenic shock

Dennis H. Murphree, B. Gersh, M. Bell, 2020, PloS one.

COVID‐19: An opportunity to build dermatology's digital future

Dennis H. Murphree, M. Pittelkow, P. Puri, 2020, Dermatologic therapy.

Development of the lichen planus quality of life questionnaire (LPQoL) informed by expert clinician input and patient feedback: a retrospective survey study

Dennis H. Murphree, M. Pittelkow, A. Meves, 2023, Archives of Dermatological Research.

Machine Learning in Detection of Undiagnosed Celiac Disease

Dennis H. Murphree, J. Murray, R. Choung, 2017, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors.

Emma Fortune, Che G Ngufor, Kristin D Zhao, 2019, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Outcomes Associated With Norepinephrine Use Among Cardiac Intensive Care Unit Patients with Severe Shock

Dennis H. Murphree, K. Kashani, G. Barsness, 2021, Shock.

Temporal Trends, Predictors and Outcomes of Inpatient Palliative Care Use in Cardiac Arrest Complicating Acute Myocardial Infarction.

Dennis H. Murphree, W. Nicholson, Mandeep Singh, 2021, Resuscitation.

Primary cutaneous melanoma risk stratification using a clinicopathologic and gene expression model: a pilot study

Dennis H. Murphree, M. Luna-Vargas, A. Meves, 2020, International journal of dermatology.

Risk Prediction Model for 6-Month Mortality for Patients Discharged to Skilled Nursing Facilities.

Dennis H. Murphree, C. Storlie, R. McCoy, 2022, Journal of the American Medical Directors Association.

A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2015, Conference on Artificial Intelligence in Medicine in Europe.

Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes

Curtis B. Storlie, Dennis Murphree, Che Ngufor, 2018, Comput. Biol. Medicine.

Artificial intelligence of arterial Doppler waveforms to predict major adverse outcomes among patients evaluated for peripheral artery disease

Dennis H. Murphree, Itzhak Z. Attia, C. Scott, 2023, medRxiv.

Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge pdf

Dennis Murphree, Che Ngufor, Dennis H. Murphree, 2017, ArXiv.

Predicting Adverse Reactions to Blood Transfusion

Jyotishman Pathak, Dennis Murphree, Leanne Clifford, 2015, 2015 International Conference on Healthcare Informatics.

Temporal Trends, Management and Outcomes of Acute Myocardial Infarction with Concomitant Respiratory Infections.

Dennis H. Murphree, B. Gersh, W. Cheungpasitporn, 2021, The American journal of cardiology.

RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images

Dennis H. Murphree, Krishnakant V. Saboo, N. Comfere, 2023, ArXiv.

Postdevelopment Performance and Validation of the Artificial Intelligence-Enhanced Electrocardiogram for Detection of Cardiac Amyloidosis

Dennis H. Murphree, Z. Attia, M. Grogan, 2023, JACC. Advances.