Table 2.
The top 15 most productive journals on artificial intelligence in critical care research with their most cited article.
|
|
TPa (N=1198), n (%) | TCb, n | CiteScore 2020 | Ranking based on citation | Citation per document | Most cited article | Times cited, n | Publisher |
| Artificial Intelligence in Medicine | 42 (3.51) | 983 | 8 | 2 | 23.40 | A Working System for the Automated Control of Assisted Ventilation in ICUs | 84 | Elsevier |
| Critical Care Medicine | 40 (3.34) | 1166 | 12.7 | 1 | 29.15 | An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU | 249 | Lippincott Williams and Wilkins Ltd |
| PLoS ONE | 35 (2.92) | 412 | 5.3 | 7 | 11.77 | Machine Learning Models for Early Sepsis Recognition in the Neonatal Intensive Care Unit Using Readily Available Electronic Health Record Data | 48 | Public Library of Science |
| Scientific Reports | 33 (2.75) | 315 | 7.1 | 8 | 9.55 | Prediction of Ventricular Tachycardia One Hour Before Occurrence Using Artificial Neural Networks | 56 | Springer Nature |
| Computer Methods and Programs in Biomedicine | 26 (2.17) | 241 | 7.7 | 11 | 9.27 | An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment Using MIMIC-III Clinical Notes | 36 | Elsevier |
| Critical Care | 26 (2.17) | 470 | 10.1 | 4 | 18.08 | Development and Validation of a Novel Molecular Biomarker Diagnostic Test for the Early Detection of Sepsis | 96 | BioMed Central Ltd |
| Frontiers in Medicine | 26 (2.17) | 57 | 4.1 | 15 | 2.19 | A Machine Learning-Based Prediction of Hospital Mortality in Patients With Postoperative Sepsis | 14 | Frontiers Media SA |
| BMC Medical Informatics and Decision Making | 25 (2.09) | 233 | 3.9 | 12 | 9.32 | A Comparative Analysis of Multi-Level Computer-Assisted Decision Making Systems for Traumatic Injuries | 33 | Springer Nature |
| Computers in Biology and Medicine | 25 (2.09) | 464 | 7.3 | 6 | 18.56 | A Computational Approach to Early Sepsis Detection | 116 | Elsevier |
| Journal of Clinical Monitoring and Computing | 25 (2.09) | 300 | 3.7 | 10 | 12.00 | Using Physiological Models and Decision Theory for Selecting Appropriate Ventilator Settings | 72 | Springer Nature |
| IEEE Journal of Biomedical and Health Informatics | 21 (1.75) | 116 | 10.2 | 13 | 5.52 | Multi-Sensor Fusion Approach for Cuff-Less Blood Pressure Measurement | 32 | IEEE |
| International Journal of Medical Informatics | 21 (1.75) | 468 | 7.1 | 5 | 22.29 | User-Centered Design Techniques for a Computerised Antibiotic Decision Support System in an Intensive Care Unit | 61 | Elsevier |
| JMIR Medical Informatics | 19 (1.59) | 312 | 2.9 | 9 | 16.42 | Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: a Machine Learning Approach | 203 | JMIR Publications Inc |
| Journal of Biomedical Informatics | 19 (1.59) | 522 | 8.1 | 3 | 27.47 | Reducing False Alarm Rates for Critical Arrhythmias Using the Arterial Blood Pressure Waveform | 151 | Academic Press Inc |
| IEEE Access | 17 (1.42) | 112 | 4.8 | 14 | 6.59 | Predicting Complications in Critical Care Using Heterogeneous Clinical Data | 25 | IEEE |
aTP: total publications.
bTC: total citations.