World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • New Issue Published

    Its Our pleasure to inform you that, WJERT April 2024 Issue has been Published, Kindly check it on


    APRIL 2024 Issue has been successfully launched on 1 APRIL 2024.

  • WJERT New Impact Factor

    WJERT Impact Factor has been Increased to 7.029 for Year 2024.




J. L. Sanchez-Cuevas*, J. Fraustro-De La O, A. V. Poceros-Lozano, R. U. Rivera Castillo, A. F. Mendoza-Guzman, and J. Ayala-Perez


Currently, society has been involved in a contingency due to a virus that affects the respiratory system; Therefore, patients need a quick and accurate diagnosis of their respiratory disease to know in which area they should be transferred and thus avoid contagion, a prototype application was developed to solve a problem at international level and that speeds up the detection process of 3 respiratory diseases (SARS-CoV-2, bacterial pneumonia and viral pneumonia) or even corroborates that the patient is healthy, all this by reading radiographs automatically showing the percentage of probability of suffering from any of these diagnoses, at the time it is entered we can also see an alert through LED bulbs that works thanks to the programming of the microcontroller Particle photon (IoT) for a better understanding either for the patient or the doctor and that can proceed to a protocol to help the patient. In addition, it monitors in real time the times an X-ray is entered to keep track of the data.

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