Lisa Pineles
Biographic Data
| ID | 4888806 |
|---|---|
| NAME | Lisa Pineles |
| GIVEN NAMES | Lisa |
| FAMILY NAME | Pineles |
| SIGNATURE | PINELES L |
| AFFILIATIONS | University of Maryland, Baltimore |
| ORCID | 0000-0002-2377-5971 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms
Background: (CRE), is an increasing concern in healthcare settings. Materials and Methods: Leveraging data from electronic healthcare records and a unique MDRO universal screening program, we developed a data-driven modeling framework to predict MRSA, VRE, and CRE colonization upon intensive care unit (ICU) admission, and identified the associated socio-demographic and clinical factors using logistic regression (LR), random forest (RF), and XGBoo…
Using the theory of planned behavior to predict self-medication with over-the-counter analgesics
Millions of people worldwide use over-the-counter analgesics on a regular basis; yet little is known about how decisions to self-medicate are made. This study used the theory of planned behavior to explore the influence of beliefs about medicines (Beliefs about Medicines Questionnaire) and individual pain experience as predictors of intent to self-medicate. Both emerged as significant predictors of intent to self-medicate. Furthermore, intent to …
Using the theory of planned behavior to predict self-medication with over-the-counter analgesics
Millions of people worldwide use over-the-counter analgesics on a regular basis; yet little is known about how decisions to self-medicate are made. This study used the theory of planned behavior to explore the influence of beliefs about medicines (Beliefs about Medicines Questionnaire) and individual pain experience as predictors of intent to self-medicate. Both emerged as significant predictors of intent to self-medicate. Furthermore, intent to …
Using the theory of planned behavior to predict self-medication with over-the-counter analgesics
Millions of people worldwide use over-the-counter analgesics on a regular basis; yet little is known about how decisions to self-medicate are made. This study used the theory of planned behavior to explore the influence of beliefs about medicines (Beliefs about Medicines Questionnaire) and individual pain experience as predictors of intent to self-medicate. Both emerged as significant predictors of intent to self-medicate. Furthermore, intent to …
A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms
Background: (CRE), is an increasing concern in healthcare settings. Materials and Methods: Leveraging data from electronic healthcare records and a unique MDRO universal screening program, we developed a data-driven modeling framework to predict MRSA, VRE, and CRE colonization upon intensive care unit (ICU) admission, and identified the associated socio-demographic and clinical factors using logistic regression (LR), random forest (RF), and XGBoo…
Medicine (2 works) · Antibiotic Use and Resistance (1 work) · Biology (1 work) · Carbapenem-resistant enterobacteriaceae (1 work) · Clinical Psychology (1 work) · Complementary and Alternative Medicine Studies (1 work) · Emergency Medicine (1 work) · Enterobacteriaceae (1 work) · Harm (1 work) · Infection control (1 work)