Search Results - "Ivascu F"

Examining the role of thromboelastography in patients with COVID-19.

Authors: Chen AL Robbins M Masters S et al.

Source: Perfusion [Perfusion] 2026 Jan; Vol. 41 (1), pp. 80-85. Date of Electronic Publication: 2025 May 14.

Publication Type: Journal Article; Observational Study; Research Support, Non-U.S. Gov't

Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 8700166 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-111X (Electronic) Linking ISSN: 02676591 NLM ISO Abbreviation: Perfusion Subsets: MEDLINE

Optimizing Intubation Prediction in Pneumonia Patients: A Systematic Review and Meta‐Analysis of Machine Learning Algorithms.

Authors: Abdoli, Elham Eini, Pooya Farashi, Sajjad et al.

Source: Pulmonary Medicine. 3/18/2026, Vol. 2026, p1-22. 22p.

Predicting invasive mechanical ventilation in COVID 19 patients: A validation study.

Authors: Statlender, Liran Shvartser, Leonid Teppler, Shmuel et al.

Source: PLoS ONE. 1/2/2024, Vol. 19 Issue 1, p1-12. 12p.

Enhancing machine learning performance in cardiac surgery ICU: Hyperparameter optimization with metaheuristic algorithm.

Authors: Bahrami, Ali Rakhshaninejad, Morteza Ghousi, Rouzbeh et al.

Source: PLoS ONE. 2/10/2025, Vol. 20 Issue 2, p1-25. 25p.

Machine learning algorithm for ventilator mode selection, pressure and volume control.

Authors: T., Anitha G., Gopu P., Arun Mozhi Devan et al.

Source: PLoS ONE. 3/13/2024, Vol. 19 Issue 3, p1-34. 34p.

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems.

Authors: Bharaneedharan, Balasundaram Panchanathan, Suresh Kit, Chan Choon et al.

Source: Energy Science & Engineering. Apr2026, Vol. 14 Issue 4, p2318-2344. 27p.

Subject Terms: *Machine learning, *Artificial intelligence, *Energy storage, *Mathematical optimization, *Clean energy, *Electric power systems, *Feedback control systems, *Forecasting

Predicting Severe Respiratory Failure in Patients with COVID-19: A Machine Learning Approach.

Authors: Ceylan, Bahadır Olmuşçelik, Oktay Karaalioğlu, Banu et al.

Source: Journal of Clinical Medicine. Dec2024, Vol. 13 Issue 23, p7386. 19p.

A machine learning approach for predicting mortality in unvaccinated COVID-19 patients using a novel web application.

Authors: Mukhopadhyay, Kaushik Chopra, Parul Datta, Sudip Kumar et al.

Source: Journal of Laboratory Physicians. Jan-Mar2026, Vol. 18 Issue 1, p1-2. 2p.

Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.

Authors: Yu L Halalau A Dalal B et al.

Source: PloS one [PLoS One] 2021 Apr 01; Vol. 16 (4), pp. e0249285. Date of Electronic Publication: 2021 Apr 01 (Print Publication: 2021).

Publication Type: Journal Article; Multicenter Study

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach.

Authors: Chadaga, Krishnaraj Prabhu, Srikanth Sampathila, Niranjana et al.

Source: Intelligent Decision Technologies; 2023, Vol. 17 Issue 4, p959-982, 24p

Two Consecutive Runs of Veno-Venous Extracorporeal Membrane Oxygenation in a Peripartum Patient with COVID-19 Acute Respiratory Distress Syndrome.

Authors: Sella, Nicolò Pettenuzzo, Tommaso Della Paolera, Michele et al.

Source: Case Reports in Critical Care. 7/14/2021, p1-5. 5p.

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis.

Authors: Xin, Yu Li, Hongxu Zhou, Yuxin et al.

Source: BMC Medical Informatics & Decision Making. 8/9/2023, Vol. 23 Issue 1, p1-14. 14p.

Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach.

Authors: Klopfenstein, Sophie Anne Inès Flint, Anne Rike Heeren, Patrick et al.

Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-21. 21p.

Brain-derived microvesicles induce activation of aspirin-treated platelets via the PLC/PKC pathway.

Authors: He YF Zhang JC Wang YZ et al.

Source: Scientific reports [Sci Rep] 2026 Mar 25; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 25.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; In Process

Low atherogenic index of plasma is associated with spontaneous hemorrhagic transformation in acute ischemic stroke patients: a retrospective cohort study and predictive modeling based on machine learning.

Authors: Xuan K Guo Y Li P et al.

Source: Lipids in health and disease [Lipids Health Dis] 2026 Mar 14; Vol. 25 (1). Date of Electronic Publication: 2026 Mar 14.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101147696 Publication Model: Electronic Cited Medium: Internet ISSN: 1476-511X (Electronic) Linking ISSN: 1476511X NLM ISO Abbreviation: Lipids Health Dis Subsets: MEDLINE

Early prognosis prediction in mechanically ventilated patients using machine learning for tertiary care hospital settings.

Authors: Mendiratta S Mukkelli VG Baidya Kayal E et al.

Source: Journal of clinical monitoring and computing [J Clin Monit Comput] 2026 Feb; Vol. 40 (1), pp. 129-137. Date of Electronic Publication: 2025 Nov 27.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 9806357 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2614 (Electronic) Linking ISSN: 13871307 NLM ISO Abbreviation: J Clin Monit Comput Subsets: MEDLINE

A Technique for Monitoring Mechanically Ventilated Patient Lung Conditions.

Authors: Marx, Pieter Marais, Henri

Source: Diagnostics (2075-4418). Dec2024, Vol. 14 Issue 23, p2616. 23p.

A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department.

Authors: Rahmatinejad, Zahra Dehghani, Toktam Hoseini, Benyamin et al.

Source: Scientific Reports. 2/9/2024, Vol. 14 Issue 1, p1-17. 17p.

Nurse Staffing Management in the Context of Emergency Departments and Seasonal Respiratory Diseases: An Artificial Intelligence and Discrete-Event Simulation Approach.

Authors: Ortiz-Barrios M Cuenca L Arias-Fonseca S et al.

Source: Journal of medical systems [J Med Syst] 2025 Aug 16; Vol. 49 (1), pp. 106. Date of Electronic Publication: 2025 Aug 16.

Publication Type: Journal Article

Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records.

Authors: Baik, Seung Min Hong, Kyung Sook Park, Dong Jin

Source: BMC Bioinformatics. 5/9/2023, Vol. 24 Issue 1, p1-13. 13p.