1
|
Asteris PG, Gandomi AH, Armaghani DJ, Kokoris S, Papandreadi AT, Roumelioti A, Papanikolaou S, Tsoukalas MZ, Triantafyllidis L, Koutras EI, Bardhan A, Mohammed AS, Naderpour H, Paudel S, Samui P, Ntanasis-Stathopoulos I, Dimopoulos MA, Terpos E. Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm. Eur J Intern Med 2024:S0953-6205(24)00094-3. [PMID: 38458880 DOI: 10.1016/j.ejim.2024.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/23/2024] [Accepted: 02/29/2024] [Indexed: 03/10/2024]
Abstract
It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the emergency department. Using artificial neural networks, we propose a new Data Ensemble Refinement Greedy Algorithm (DERGA) based on 15 easily accessible hematological indices. A database of 1596 patients with COVID-19 was used; it was divided into 1257 training datasets (80 % of the database) for training the algorithms and 339 testing datasets (20 % of the database) to check the reliability of the algorithms. The optimal combination of hematological indicators that gives the best prediction consists of only four hematological indicators as follows: neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase, ferritin, and albumin. The best prediction corresponds to a particularly high accuracy of 97.12 %. In conclusion, our novel approach provides a robust model based only on basic hematological parameters for predicting the risk for ICU admission and optimize COVID-19 patient management in the clinical practice.
Collapse
Affiliation(s)
- Panagiotis G Asteris
- Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece
| | - Amir H Gandomi
- Faculty of Engineering & IT, University of Technology Sydney, Sydney, NSW 2007, Australia; University Research and Innovation Center (EKIK), Óbuda University, 1034 Budapest, Hungary
| | - Danial J Armaghani
- School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia
| | - Styliani Kokoris
- Laboratory of Hematology and Hospital Blood Transfusion Department, University General Hospital "Attikon", National and Kapodistrian University of Athens, Medical School, Greece
| | - Anastasia T Papandreadi
- Software and Applications Department, University General Hospital "Attikon", National and Kapodistrian University of Athens, Medical School, Greece
| | - Anna Roumelioti
- Department of Hematology and Lymphoma BMTU, Evangelismos General Hospital, Athens, Greece
| | - Stefanos Papanikolaou
- NOMATEN Centre of Excellence, National Center for Nuclear Research, ulica A. Sołtana 7, 05-400 Swierk/Otwock, Poland
| | - Markos Z Tsoukalas
- Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece
| | - Leonidas Triantafyllidis
- Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece
| | - Evangelos I Koutras
- Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece
| | - Abidhan Bardhan
- Civil Engineering Department, National Institute of Technology Patna, Bihar, India
| | - Ahmed Salih Mohammed
- Engineering Department, American University of Iraq, Sulaimani, Kurdistan-Region, Iraq
| | - Hosein Naderpour
- Institute of Industrial Science, University of Tokyo, Tokyo, Japan
| | - Satish Paudel
- Department of Civil and Environmental Engineering, University of Nevada, Reno, US
| | - Pijush Samui
- Civil Engineering Department, National Institute of Technology Patna, Bihar, India
| | - Ioannis Ntanasis-Stathopoulos
- Department of Clinical Therapeutics, Medical School, Faculty of Medicine, National Kapodistrian University of Athens, Athens, Greece
| | - Meletios A Dimopoulos
- Department of Clinical Therapeutics, Medical School, Faculty of Medicine, National Kapodistrian University of Athens, Athens, Greece
| | - Evangelos Terpos
- Department of Clinical Therapeutics, Medical School, Faculty of Medicine, National Kapodistrian University of Athens, Athens, Greece.
| |
Collapse
|