Selection of the Best Neonatal Ventilator in Patients with COVID-19 Using Multicriteria Analysis

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Computational Intelligence for COVID-19 and Future Pandemics

Abstract

The multicriteria analysis is a useful tool that helps us to solve problems in which it is necessary to analyze the various variables present. In this work, the model of AHP and Grand Prix will be used to select the best neonatal ventilator among seven options of neonatal ventilators; to achieve this, different variables will be analyzed that will help us determine which is the best ventilator according to the criterion taken. When using both multicriteria methods, it was obtained that by AHP the ventilator that presents a better performance is the SynoVent E5 widely used in the current pandemic named COVID-19. With the Grand Prize model, the best option corresponds to the Humming Vue ventilator. It is of utmost importance to make the correct decision associated with the best ventilator, largely because the infants affected with COVID-19 require a constant flow of oxygen and with an adequate temperature for the timely breathing of their fragile bodies, including the wear and tear from the effort to breathe adequately. Neonates with serious problems may be in an incubator with periods from 7 weeks as a maximum limit to values of 27 weeks in the case of infants weighing <0.500 kg.

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References

  1. Salud OMDI (2013). Estadisticas Sanitarias Mundiales, OMS

    Google Scholar 

  2. JNH (2002) Neonatologia. Editorial Universitaria, Santiago de Chile

    Google Scholar 

  3. Social IMDS (2013) Intervencion de Enfermeria en la Atencion del Recien Nacido Prematuro, Mexico: IMSS

    Google Scholar 

  4. Hall JE (2011) Tratado de fisiologia medica. Elsevier, Mexico

    Google Scholar 

  5. ABM (2003) Ventilación de alta frecuencia en el recién nacido: un soporte rexpiratorio necesario. Rev Chil Pediatr 74(5):475–486

    Google Scholar 

  6. EJH (1959) Apparatus for vibrating portions of a patient-s airway. E U Am Pat 1959(2):918–927

    Google Scholar 

  7. Salud CNDETES (2004) CENETEC, Agosto. http://www.cenetec.salud.gob.mx/descargas/biomedica/guias_tecnologicas/5gt_ventilador.pdf

  8. SLE, “SLE,” (2019) https://www.sle.co.uk/files/library/files/products/brochures/SLE5000_-_Spanish.pdf

  9. VIASYS, «VIASYS » (2019) https://www.medonegroup.com/pdf/manuals/techManuals/VIASYS-Bear-Cub-750-VentilatorService-Manual.pdf

  10. Medical D, “Ingenieria Bahia” (2019) http://www.ingenieriabahia.com.ar/manuales/BabyLog8000Plus.pdf

  11. Hamilton, “Hamilton Medical” https://www.hamiltonmedical.com/es/Services/Downloads.html#tags=5db4d6d0–6fed-4b59–806eedd19510d2cf&DataTables_Table_0=od3

    Google Scholar 

  12. Mindray, “Procesos Biomedicos,” (2014) http://procesosbiomedicos.com/wpcontent/uploads/2014/08/Ventilador-MINDRAYSYNOVENT-E5.pdf

  13. Neumovent, “Mecamedcorp,” (2013) http://www.mecamedcorp.com/shop/hospitalario/13ventiladores-respiradores/graphnet-advance/

  14. Kohden N (2019) “Indomedik,” https://www.indomedik.com/file/brochure_hummingvue.pdf

  15. Liao YH, Wang ZC, Zhang FG, Abbod MF, Shih CH, Shieh JS (2019) Machine learning methods applied to predict ventilator-associated pneumonia with Pseudomonas aeruginosa infection via sensor array of electronic nose in intensive care unit. Sensors 19(8):1866

    Google Scholar 

  16. Rehm GB, Kuhn BT, Nguyen J, Anderson NR, Chuah CN, Adams JY (2019) Improving mechanical ventilator clinical decision support systems with a machine learning classifier for determining ventilator mode. CoRR abs/1904.1296

    Google Scholar 

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Correspondence to Oliverio Cruz-Mejía .

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Ochoa-Ortiz, A., Cruz-Mejía, O., Mejia, J. (2022). Selection of the Best Neonatal Ventilator in Patients with COVID-19 Using Multicriteria Analysis. In: Kose, U., Watada, J., Deperlioglu, O., Marmolejo Saucedo, J.A. (eds) Computational Intelligence for COVID-19 and Future Pandemics. Disruptive Technologies and Digital Transformations for Society 5.0. Springer, Singapore. https://doi.org/10.1007/978-981-16-3783-4_18

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