Martin S. Copenhaver
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View article: Measuring the Heterogeneous Effect of Emergency Department Boarding on Inpatient Length of Stay: Toward Efficient and Equitable Inpatient Bed Assignment
Measuring the Heterogeneous Effect of Emergency Department Boarding on Inpatient Length of Stay: Toward Efficient and Equitable Inpatient Bed Assignment Open
View article: Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza
Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza Open
View article: A prescriptive optimization approach to identify minimal barriers to discharge for surgical patients
A prescriptive optimization approach to identify minimal barriers to discharge for surgical patients Open
Ensuring timely patient discharges is crucial to managing a hospital’s patient flow; however, discharges are dependent on the coordination of multiple care teams and thus are highly decentralized in nature. Central capacity teams often lac…
View article: Forecasting hospital-level COVID-19 admissions using real-time mobility data
Forecasting hospital-level COVID-19 admissions using real-time mobility data Open
View article: Impact of Emergency Department Crowding on Discharged Patient Experience
Impact of Emergency Department Crowding on Discharged Patient Experience Open
Introduction: While emergency department (ED) crowding has deleterious effects on patient care outcomes and operational efficiency, impacts on the experience for patients discharged from the ED are unknown. We aimed to study how patient-re…
View article: Forecasting hospital-level COVID-19 admissions using real-time mobility data
Forecasting hospital-level COVID-19 admissions using real-time mobility data Open
For each of the COVID-19 pandemic waves, hospitals have had to plan for deploying surge capacity and resources to manage large but transient increases in COVID-19 admissions. While a lot of effort has gone into predicting regional trends i…
View article: Certifiably optimal low rank factor analysis
Certifiably optimal low rank factor analysis Open
© 2017 Dimitris Bertsimas, Martin S. Copenhaver, and Rahul Mazumder. Factor Analysis (FA) is a technique of fundamental importance that is widely used in classical and modern multivariate statistics, psychometrics, and econometrics. In thi…
View article: Design and Performance of a COVID-19 Hospital Recovery Model
Design and Performance of a COVID-19 Hospital Recovery Model Open
Objective: To determine the accuracy of a predictive model for inpatient occupancy that was implemented at a large New England hospital to aid hospital recovery planning from the COVID-19 surge. Background: During recovery from COVID surge…
View article: The Power of Modeling in Emergency Preparedness for COVID-19: A Moonshot Moment for Hospitals
The Power of Modeling in Emergency Preparedness for COVID-19: A Moonshot Moment for Hospitals Open
Before coronavirus disease 2019 (COVID-19), few hospitals had fully tested emergency surge plans. Uncertainty in the timing and degree of surge complicates planning efforts, putting hospitals at risk of being overwhelmed. Many lack access …
View article: Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care
Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care Open
This cohort study found that a neural network model could predict daily inpatient surgical care discharges and their barriers. The model identified systemic causes of discharge delays. Such models should be studied for their ability to inc…
View article: The Trimmed Lasso: Sparsity and Robustness
The Trimmed Lasso: Sparsity and Robustness Open
Nonconvex penalty methods for sparse modeling in linear regression have been a topic of fervent interest in recent years. Herein, we study a family of nonconvex penalty functions that we call the trimmed Lasso and that offers exact control…
View article: Characterization of the equivalence of robustification and regularization in linear and matrix regression
Characterization of the equivalence of robustification and regularization in linear and matrix regression Open
View article: On structural decompositions of finite frames
On structural decompositions of finite frames Open
View article: Certifiably Optimal Low Rank Factor Analysis
Certifiably Optimal Low Rank Factor Analysis Open
Factor Analysis (FA) is a technique of fundamental importance that is widely used in classical and modern multivariate statistics, psychometrics and econometrics. In this paper, we revisit the classical rank-constrained FA problem, which s…
View article: Factor posets of frames and dual frames in finite dimensions
Factor posets of frames and dual frames in finite dimensions Open
We consider frames in a finite-dimensional Hilbert space, where frames are exactly the spanning sets of the vector space. A factor poset of a frame is defined to be a collection of subsets of [math] , the index set of our vectors, ordered …
View article: On structural decompositions of finite frames
On structural decompositions of finite frames Open