BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Plate JD, Peelen LM, Leenen LP, Hietbrink F. Validation of the VitalPAC Early Warning Score at the Intermediate Care Unit. World J Crit Care Med 2018; 7(3): 39-45 [PMID: 30090705 DOI: 10.5492/wjccm.v7.i3.39]
URL: https://www.wjgnet.com/2220-3141/full/v7/i3/39.htm
Number Citing Articles
1
Rogério Albandes, Roger Machado, Jorge Barbosa, Adenauer Yamin. Internet of Things. A Confluence of Many DisciplinesIFIP Advances in Information and Communication Technology 2020; 574: 53 doi: 10.1007/978-3-030-43605-6_4
2
Stephen Gerry, Timothy Bonnici, Jacqueline Birks, Shona Kirtley, Pradeep S Virdee, Peter J Watkinson, Gary S Collins. Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodologyBMJ 2020; : m1501 doi: 10.1136/bmj.m1501
3
Francisco Martín-Rodríguez, Ancor Sanz-García, Elena Medina-Lozano, Miguel Ángel Castro Villamor, Virginia Carbajosa Rodríguez, Carlos del Pozo Vegas, Laura Natividad Fadrique Millán, Guillermo Ortega Rabbione, José Luis Martín-Conty, Raúl López-Izquierdo. The Value of Prehospital Early Warning Scores to Predict in - Hospital Clinical Deterioration: A Multicenter, Observational Base-Ambulance StudyPrehospital Emergency Care 2021; 25(5): 597 doi: 10.1080/10903127.2020.1813224
4
Emanuele Torri, Marta Rigoni, Stefania Dorigoni, Dimitri Peterlana, Susanna Cozzio, Giandomenico Nollo, Walter Spagnolli, Giuseppe Remuzzi. A model based on intensity of medical care may improve outcomes for internal medicine patients in ItalyPLOS ONE 2019; 14(1): e0211548 doi: 10.1371/journal.pone.0211548
5
Tariq I. Alshwaheen, Yuan Wen Hau, Nizar Ass'Ad, Mahmoud M. Abualsamen. A Novel and Reliable Framework of Patient Deterioration Prediction in Intensive Care Unit Based on Long Short-Term Memory-Recurrent Neural NetworkIEEE Access 2021; 9: 3894 doi: 10.1109/ACCESS.2020.3047186
6
Elizabeth A. Gulleen, Mawulolo K. Ameko, John E. Ainsworth, Laura E. Barnes, Christopher C. Moore. Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With NeutropeniaCritical Care Explorations 2020; 2(12): e0289 doi: 10.1097/CCE.0000000000000289
7
Jason J. Yang, Xiao Hu, Noel G. Boyle, Duc H. Do. Novel Approaches to Risk Stratification of In-Hospital Cardiac ArrestCurrent Cardiovascular Risk Reports 2021; 15(3) doi: 10.1007/s12170-021-00667-7
8
Joost D. J. Plate, Rutger R. van de Leur, Luke P. H. Leenen, Falco Hietbrink, Linda M. Peelen, M. J. C. Eijkemans. Incorporating repeated measurements into prediction models in the critical care setting: a framework, systematic review and meta-analysisBMC Medical Research Methodology 2019; 19(1) doi: 10.1186/s12874-019-0847-0
9
J L Martín-Conty, M A Castro Villamor, A Sanz-García, B Polonio-López, R López-Izquierdo, S Sáez Belloso, J F Delgado Benito, C Del Pozo Vegas, R Conty-Serrano, M Eichinger, F Martín-Rodríguez. Incorporation of age into patient early warning scores significantly improves mortality predictionQJM: An International Journal of Medicine 2024;  doi: 10.1093/qjmed/hcae031
10
Tariq Ibrahim Al-Shwaheen, Mehrdad Moghbel, Yuan Wen Hau, Chia Yee Ooi. Use of learning approaches to predict clinical deterioration in patients based on various variables: a review of the literatureArtificial Intelligence Review 2022; 55(2): 1055 doi: 10.1007/s10462-021-09982-2
11
Anil Ardic, Ozlem Koksal, Vahide Aslihan Durak, Aslı Gorek Dilektasli, Guven Ozkaya. The combination of scoring systems and lactate for predicting short-term mortality in geriatric patients with dyspneaNotfall + Rettungsmedizin 2023;  doi: 10.1007/s10049-023-01165-6
12
Francisco Martín-Rodríguez, Rodrigo Enriquez de Salamanca Gambara, Ancor Sanz-García, Miguel A. Castro Villamor, Carlos del Pozo Vegas, Irene Sánchez Soberón, Juan F. Delgado Benito, José L. Martín-Conty, Raúl López-Izquierdo. Comparison of seven prehospital early warning scores to predict long-term mortality: a prospective, multicenter, ambulance-based studyEuropean Journal of Emergency Medicine 2023; 30(3): 193 doi: 10.1097/MEJ.0000000000001019