Carly Eckert

Journal Article The Surgical clinics of North America · June 2023 Standardized and thorough model reporting is an integral component in the development and deployment of machine learning models in health care. Model reporting includes sharing multiple model performance metrics and incorporating metadata to provide the ne ... Full text Cite

Beyond the Spreadsheet: Data Management for Physicians in the Era of Big Data.

Journal Article The Surgical clinics of North America · April 2023 Big Data is transforming health care. Characteristics of Big Data require data management strategies to effectively use, analyze, and apply the data. Clinicians are not typically learned in the fundamentals of these strategies which may cause a divide betw ... Full text Cite

Surgical Decision Making, Evidence, and Artificial Intelligence.

Journal Article The Surgical clinics of North America · April 2023 Full text Cite

Software as a Medical Device: Regulating AI in Healthcare via Responsible AI

Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 14, 2021 With the increased adoption of AI in healthcare, there is a growing recognition and demand to regulate AI in healthcare to avoid potential harm and unfair bias against vulnerable populations. Around a hundred governmental bodies and commissions as well as ... Full text Cite

Fairness in Healthcare AI

Conference Proceedings 2021 IEEE 9th International Conference on Healthcare Informatics Ischi 2021 · August 1, 2021 The issue of bias and fairness in healthcare has been around for centuries. With the integration of AI in healthcare the potential to discriminate and perpetuate unfair and biased practices in healthcare increases many folds. The tutorial focuses on the ch ... Full text Cite

Ambient air pollution and risk of respiratory infection among adults: evidence from the multiethnic study of atherosclerosis (MESA).

Journal Article BMJ open respiratory research · March 2021 BackgroundAir pollution may affect the risk of respiratory infection, though research has focused on uncommon infections or infections in children. Whether ambient air pollutants increase the risk of common acute respiratory infections among adult ... Full text Cite

A surgeon’s guide to machine learning

Journal Article Annals of Surgery · January 1, 2021 Machine learning (ML) represents a collection of advanced data modeling techniques beyond the traditional statistical models and tests with which most clinicians are familiar. While a subset of artificial intelligence, ML is far from the science fiction im ... Full text Cite

Fairness in Machine Learning for Healthcare

Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 23, 2020 The issue of bias and fairness in healthcare has been around for centuries. With the integration of AI in healthcare the potential to discriminate and perpetuate unfair and biased practices in healthcare increases many folds The tutorial focuses on the cha ... Full text Cite

Emergency department optimization and load prediction in hospitals

Conference Ceur Workshop Proceedings · January 1, 2020 Over the past several years, across the globe, there has been an increase in people seeking care in emergency departments (EDs). ED resources, including nurse staffing, are strained by such increases in patient volume. Accurate forecasting of incoming pati ... Cite

Big problems in little patients: Nationwide blunt cerebrovascular injury outcomes in the pediatric population.

Conference The journal of trauma and acute care surgery · November 2019 BackgroundBlunt cerebrovascular injuries (BCVI) are uncommon but potentially devastating. The epidemiology, outcomes, and screening criteria are well described in adults, but data in pediatric patients are extremely limited. The purpose of this st ... Full text Cite

Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

Journal Article Applied clinical informatics · March 2019 BackgroundThirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have been devel ... Full text Cite

The challenge of imputation in explainable artificial intelligence models

Conference Ceur Workshop Proceedings · January 1, 2019 Explainable models in Artificial Intelligence are often employed to ensure transparency and accountability of AI systems. The fidelity of the explanations are dependent upon the algorithms used as well as on the fidelity of the data. Many real world datase ... Cite

Interpretable machine learning in healthcare

Conference Proceedings 2018 IEEE International Conference on Healthcare Informatics Ichi 2018 · July 24, 2018 This tutorial extensively covers the definitions, nuances, challenges, and requirements for the design of interpretable and explainable machine learning models and systems in healthcare. We discuss many uses in which interpretable machine learning models a ... Full text Cite

Death versus data science: Predicting end of life

Conference Proceedings of the 30th Innovative Applications of Artificial Intelligence Conference Iaai 2018 · January 1, 2018 Death is an inevitable part of life and while it cannot be delayed indefinitely it is possible to predict with some certainty when the health of a person is going to deteriorate. In this paper, we predict risk of mortality for patients from two large hospi ... Cite

Death versus data science: Predicting end of life

Conference 32nd Aaai Conference on Artificial Intelligence Aaai 2018 · January 1, 2018 Death is an inevitable part of life and while it cannot be delayed indefinitely it is possible to predict with some certainty when the health of a person is going to deteriorate. In this paper, we predict risk of mortality for patients from two large hospi ... Cite

Chronic Health Risks in Commercial Fishermen: A Cross-Sectional Analysis from a Small Rural Fishing Village in Alaska.

Journal Article Journal of agromedicine · January 2018 ObjectivesThe purpose of this study is to evaluate chronic health risks before and during the fishing season in a sample of commercial fishermen, addressing the NIOSH priority of Total Worker HealthTM.MethodsGillnet license hol ... Full text Cite

Occupational Hydrofluoric Acid Injury from Car and Truck Washing--Washington State, 2001-2013.

Journal Article MMWR. Morbidity and mortality weekly report · August 2015 Exposure to hydrofluoric acid (HF) causes corrosive chemical burns and potentially fatal systemic toxicity. Car and truck wash cleaning products, rust removers, and aluminum brighteners often contain HF because it is efficient in breaking down roadway matt ... Full text Cite