Develop a Model for Assessing the Most Efficient Diseases Diagnosis using Machine Learning

Luis Vives, N. Khadar Basha, Poonam, Anita Gehlot, Vikrant Chole, Kumud Pant

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

so, machine learning techniques are being developed to improve performance and maintenance prediction. Increasing our knowledge of the relationship between humans and algorithms, Because data is so valuable, improving strategies for intelligently having to manage the now-ubiquitous content infrastructures is a necessary part of the process toward completely autonomous agents. Numerous researchers recently developed numerous computer-aided diagnostic algorithms employing various supervised learning approaches. Early identification of sickness may help to reduce the number of people who die as a result of these illnesses. Using machine learning techniques, this research creates an efficient automated illness diagnostic algorithm. We chose three key disorders in this paper: coronavirus, cardiovascular diseases, and diabetes. The data are inputted into a mobile application in the suggested model, the investigation is then done in a real-time dataset that used a pre-trained model machine learning technique trained within the same dataset then implemented in firebase, and lastly, the illness identification result can be seen in the mobile application.

Idioma originalInglés
Título de la publicación alojada2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas2458-2462
Número de páginas5
ISBN (versión digital)9781665437899
DOI
EstadoPublicada - 2022
Publicado de forma externa
Evento2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 - Greater Noida, India
Duración: 28 abr. 202229 abr. 2022

Serie de la publicación

Nombre2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022

Conferencia

Conferencia2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
País/TerritorioIndia
CiudadGreater Noida
Período28/04/2229/04/22

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