Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Radiology
Improved Pediatric Icu Mortality Prediction For Respiratory Diseases: Machine Learning And Data Subdivision Insights, Johayra Prithula, Muhammad E H Chowdhury, Muhammad Salman Khan, Khalid Al-Ansari, Susu M Zughaier, Khandaker Reajul Islam, Abdulrahman Alqahtani
Improved Pediatric Icu Mortality Prediction For Respiratory Diseases: Machine Learning And Data Subdivision Insights, Johayra Prithula, Muhammad E H Chowdhury, Muhammad Salman Khan, Khalid Al-Ansari, Susu M Zughaier, Khandaker Reajul Islam, Abdulrahman Alqahtani
Journal Articles
The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there is a pressing need to predict ICU mortality in these cases. This study based on data from 1188 patients, addresses this imperative using machine learning techniques and investigating different class balancing methods for pediatric ICU mortality prediction. This study employs the publicly accessible "Paediatric Intensive Care database" to train, validate, and test a machine learning model for predicting pediatric patient mortality. Features were ranked using three machine learning feature selection …
Improving Cardiology Patient Flow In Nuclear Medicine, Kelly Haar, Hannah Sullivan, Kathryn Laverdiere, Nuclear Medicine Department, Haley Pelletier, Stephen Tyzik, Suneela Nayak, Ruth Hanselman
Improving Cardiology Patient Flow In Nuclear Medicine, Kelly Haar, Hannah Sullivan, Kathryn Laverdiere, Nuclear Medicine Department, Haley Pelletier, Stephen Tyzik, Suneela Nayak, Ruth Hanselman
MaineHealth Maine Medical Center
At baseline, a nuclear medicine department found it difficult to complete cardiac stress tests within scheduled times. Using the performance improvement process, a nuclear medicine department looked to improve patient experience related to wait times for this test.
Two goals were identified and a root cause analysis was initiated. After identifying some process issues, two KPIs were developed to address them.
A root cause analysis identified some processing issues and two KPIs were instituted to address them.
As a result, one outcome was to hire an additional physician assistant to address the barrier of inadequate cardiology coverage. Next steps include …
Task Force 2: Pediatric Cardiology Fellowship Training In Noninvasive Cardiac Imaging. Spctpd/Acc/Aap/Aha., Shubhika Srivastava, Beth F Printz, Tal Geva, Girish S. Shirali, Paul M Weinberg, Pierre C Wong, Peter Lang, Society Of Pediatric Cardiology Training Program Directors, American College Of Cardiology, American Academy Of Pediatrics, American Heart Association
Task Force 2: Pediatric Cardiology Fellowship Training In Noninvasive Cardiac Imaging. Spctpd/Acc/Aap/Aha., Shubhika Srivastava, Beth F Printz, Tal Geva, Girish S. Shirali, Paul M Weinberg, Pierre C Wong, Peter Lang, Society Of Pediatric Cardiology Training Program Directors, American College Of Cardiology, American Academy Of Pediatrics, American Heart Association
Manuscripts, Articles, Book Chapters and Other Papers
No abstract provided.
Task Force 2: Pediatric Cardiology Fellowship Training In Noninvasive Cardiac Imaging., Shubhika Srivastava, Beth F. Printz, Tal Geva, Girish S. Shirali, Paul M. Weinberg, Pierre C. Wong, Peter Lang
Task Force 2: Pediatric Cardiology Fellowship Training In Noninvasive Cardiac Imaging., Shubhika Srivastava, Beth F. Printz, Tal Geva, Girish S. Shirali, Paul M. Weinberg, Pierre C. Wong, Peter Lang
Manuscripts, Articles, Book Chapters and Other Papers
No abstract provided.