
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning
Azade Tabaie, Evan Orenstein, Shamim Nemati, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104289-104289
Open Access | Times Cited: 17
Azade Tabaie, Evan Orenstein, Shamim Nemati, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104289-104289
Open Access | Times Cited: 17
Showing 17 citing articles:
Application of the convolutional neural networks and supervised deep-learning methods for osteosarcoma bone cancer detection
Sushopti Gawade, Ashok Bhansali, Kshitij Patil, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100153-100153
Open Access | Times Cited: 29
Sushopti Gawade, Ashok Bhansali, Kshitij Patil, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100153-100153
Open Access | Times Cited: 29
DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins
Feifei Cui, Shuang Li, Zilong Zhang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2020-2028
Open Access | Times Cited: 24
Feifei Cui, Shuang Li, Zilong Zhang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2020-2028
Open Access | Times Cited: 24
Machine learning applications on neonatal sepsis treatment: a scoping review
Colleen O’Sullivan, Daniel Hsiang-Te Tsai, Ian Chang-Yen Wu, et al.
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 14
Colleen O’Sullivan, Daniel Hsiang-Te Tsai, Ian Chang-Yen Wu, et al.
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 14
A common data model for the standardization of intensive care unit medication features
Andrea Sikora, Kelli Keats, David J. Murphy, et al.
JAMIA Open (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 4
Andrea Sikora, Kelli Keats, David J. Murphy, et al.
JAMIA Open (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 4
Predicting bloodstream infection outcome using machine learning
Yazeed Zoabi, Orli Kehat, Dan Lahav, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 23
Yazeed Zoabi, Orli Kehat, Dan Lahav, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 23
Machine learning-based prediction of delirium 24 h after pediatric intensive care unit admission in critically ill children: A prospective cohort study
Lei Lei, Shuai Zhang, Lin Yang, et al.
International Journal of Nursing Studies (2023) Vol. 146, pp. 104565-104565
Open Access | Times Cited: 9
Lei Lei, Shuai Zhang, Lin Yang, et al.
International Journal of Nursing Studies (2023) Vol. 146, pp. 104565-104565
Open Access | Times Cited: 9
Improvement of APACHE II score system for disease severity based on XGBoost algorithm
Yan Luo, Zhiyu Wang, Cong Wang
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 16
Yan Luo, Zhiyu Wang, Cong Wang
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 16
A natural language processing approach to categorise contributing factors from patient safety event reports
Azade Tabaie, Srijan Sengupta, Zoe Pruitt, et al.
BMJ Health & Care Informatics (2023) Vol. 30, Iss. 1, pp. e100731-e100731
Open Access | Times Cited: 6
Azade Tabaie, Srijan Sengupta, Zoe Pruitt, et al.
BMJ Health & Care Informatics (2023) Vol. 30, Iss. 1, pp. e100731-e100731
Open Access | Times Cited: 6
Age‐based centiles for diastolic blood pressure among children in the out‐of‐hospital emergency setting
Sriram Ramgopal, Robert J. Sepanski, Remle P. Crowe, et al.
Journal of the American College of Emergency Physicians Open (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 5
Sriram Ramgopal, Robert J. Sepanski, Remle P. Crowe, et al.
Journal of the American College of Emergency Physicians Open (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 5
Developing machine learning systems worthy of trust for infection science: a requirement for future implementation into clinical practice
Benjamin McFadden, Mark Reynolds, Timothy J. J. Inglis
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 5
Benjamin McFadden, Mark Reynolds, Timothy J. J. Inglis
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 5
Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition
Wenxia Su, Shuyi Deng, Zhi-Feng Gu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 4
Wenxia Su, Shuyi Deng, Zhi-Feng Gu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 4
Deep Learning Model to Predict Serious Infection Among Children With Central Venous Lines
Azade Tabaie, Evan Orenstein, Shamim Nemati, et al.
Frontiers in Pediatrics (2021) Vol. 9
Open Access | Times Cited: 10
Azade Tabaie, Evan Orenstein, Shamim Nemati, et al.
Frontiers in Pediatrics (2021) Vol. 9
Open Access | Times Cited: 10
Integrating structured and unstructured data for timely prediction of bloodstream infection among children
Azade Tabaie, Evan Orenstein, Swaminathan Kandaswamy, et al.
Pediatric Research (2022) Vol. 93, Iss. 4, pp. 969-975
Closed Access | Times Cited: 6
Azade Tabaie, Evan Orenstein, Swaminathan Kandaswamy, et al.
Pediatric Research (2022) Vol. 93, Iss. 4, pp. 969-975
Closed Access | Times Cited: 6
Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms
Peng Wang, Shuwen Cheng, Yaxin Li, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 3
Peng Wang, Shuwen Cheng, Yaxin Li, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 3
Evaluation of Structured, Semi-Structured, and Free-Text Electronic Health Record Data to Classify Hepatitis C Virus (HCV) Infection
Allan Fong, Justin Hughes, Sravya Gundapenini, et al.
Gastrointestinal Disorders (2023) Vol. 5, Iss. 2, pp. 115-126
Open Access | Times Cited: 1
Allan Fong, Justin Hughes, Sravya Gundapenini, et al.
Gastrointestinal Disorders (2023) Vol. 5, Iss. 2, pp. 115-126
Open Access | Times Cited: 1
A Common Data Model for the standardization of intensive care unit (ICU) medication features in artificial intelligence (AI) applications
Andrea Sikora, Kelli Keats, David J. Murphy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Andrea Sikora, Kelli Keats, David J. Murphy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Recognition of outer membrane proteins using multiple feature fusion
Wenxia Su, Xiaojun Qian, Keli Yang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access
Wenxia Su, Xiaojun Qian, Keli Yang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access