S. Romero-Brufau

发表

Evaluating Automated Rules for Rapid Response System Alarm Triggers in Medical and Surgical Patients

James M. Naessens, Bruce W. Morlan, Joel Hickman, 2017, Journal of hospital medicine.

Antitumoral gene-based strategy involving nitric oxide synthase type III overexpression in hepatocellular carcinoma

J. Muntané, E. Navarro-Villarán, F. Padillo, 2015, Gene Therapy.

Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study

R. Raskar, W. Kremers, Balaji Krishnamurthy, 2021, BMJ.

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks pdf

Ramesh Raskar, Kalyan S. Pasupathy, Ayush Chopra, 2021, ArXiv.

Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital

Kirk D. Wyatt, S. Romero-Brufau, Patricia Boyum, 2020, Applied Clinical Informatics.

Assessing the Generalizability of a Clinical Machine Learning Model Across Multiple Emergency Departments

D. Nestler, S. Romero-Brufau, H. Heaton, 2022, Mayo Clinic proceedings. Innovations, quality & outcomes.

Blockchain for Electronic Vaccine Certificates: More Cons Than Pros?

S. Rajananda, S. Romero-Brufau, T. Kingsley, 2022, Frontiers in Big Data.

DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions

Balaji Krishnamurthy, R. Raskar, E. Gel, 2021, 2021 Winter Simulation Conference (WSC).

Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

Henry J. Lin, M. Fornage, S. Redline, 2022, Communications Biology.

The right parasternal window: when Doppler-beam alignment may be life-saving in patients with aortic valve stenosis.

S. Nistri, A. Rossi, M. Clavel, 2020, Journal of cardiovascular medicine.

The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours

Matthew G. Johnson, J. Huddleston, S. Romero-Brufau, 2019, JAMIA open.

Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS)

James M. Naessens, Terry M. Therneau, Bruce W. Morlan, 2021, J. Am. Medical Informatics Assoc..

Polygenic Risk Prediction using Gradient Boosted Trees Captures Non-Linear Genetic Effects and Allele Interactions in Complex Phenotypes

Henry J. Lin, M. Fornage, D. Levy, 2021, medRxiv.

Psoriasis lesions are associated with specific types of emotions. Emotional profile in psoriasis

R. Martín-Brufau, S. Romero-Brufau, J. Corbalán, 2015, European Journal of Dermatology.

Identifying patients at risk of inhospital death or hospice transfer for early goals of care discussions in a US referral center: the HELPS model derived from retrospective data

J. Huddleston, S. Romero-Brufau, D. Manning, 2018, BMJ Open.

Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model

M. Capan, J. Huddleston, J. Ivy, 2022, Decision Analysis.

Notice to comply: A systematic review of clinician compliance with guidelines surrounding acute hospital-based infection management.

R. Arnold, M. Mayorga, S. Romero-Brufau, 2020, American journal of infection control.

Getting to 100%: Research Priorities and Unanswered Questions to Inform the US Debate on Universal Health Insurance Coverage

M. Fischer, H. Selker, P. Cram, 2022, Journal of General Internal Medicine.

Forecasting the COVID-19 Pandemic: Lessons learned and future directions

L. Celi, P. Schwab, S. Romero-Brufau, 2021, medRxiv.

Outcomes After Coronary Stent Implantation in Patients With Metal Allergy

D. Holmes, P. Best, C. Rihal, 2012, Circulation. Cardiovascular interventions.

Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU

Vincent Liu, Gabriel J. Escobar, Patricia Kipnis, 2016, J. Biomed. Informatics.

A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support

Santiago Romero-Brufau, Kirk D. Wyatt, Kirk D Wyatt, 2019, Int. J. Medical Informatics.

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study

Santiago Romero-Brufau, Charlotta Lindvall, Kexin Huang, 2021, J. Am. Medical Informatics Assoc..

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index

J. Halamka, S. Sohn, C. Weng, 2022, J. Am. Medical Informatics Assoc..

Free Functioning Gracilis Muscle Transfer for Elbow Flexion Reconstruction after Traumatic Adult Brachial Pan-Plexus Injury: Where Is the Optimal Distal Tendon Attachment for Elbow Flexion?

A. Shin, A. Bishop, R. Spinner, 2017, Plastic and reconstructive surgery.

Prediction and Inference With Missing Data in Patient Alert Systems

Rickey E. Carter, Terry M. Therneau, Curtis B. Storlie, 2017, Journal of the American Statistical Association.

The Public Health Impact of Delaying a Second Dose of the BNT162b2 or mRNA-1273 COVID-19 Vaccine

R. Raskar, W. Kremers, E. Gel, 2021, medRxiv.

Why the C-statistic is not informative to evaluate early warning scores and what metrics to use

Mark Liebow, Gabriel J. Escobar, Santiago Romero-Brufau, 2015, Critical Care.

The value of missing information in severity of illness score development

Osman Y. Özaltın, Muge Capan, Julie S. Ivy, 2019, J. Biomed. Informatics.

The Component Structure of the Dizziness Handicap Inventory (DHI): A Reappraisal.

G. Jacobson, K. Pasupathy, D. McCaslin, 2019, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

What’s in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI)

Kirk D. Wyatt, S. Romero-Brufau, Patricia Boyum, 2020, BMC Medical Informatics and Decision Making.

Emotion Regulation Strategies, Workload Conditions, and Burnout in Healthcare Residents

C. Suso‐Ribera, R. Martín-Brufau, S. Romero-Brufau, 2020, International journal of environmental research and public health.

Widely used track and trigger scores: are they ready for automation in practice?

Santiago Romero-Brufau, Joel Hickman, Jennifer L. Elmer, 2014, Resuscitation.

Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics

Mustafa Y. Sir, Kalyan S. Pasupathy, Brian J. Bartholmai, 2018, AMIA.