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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2458-2462
Number of pages5
ISBN (Electronic)9781665437899
DOIs
StatePublished - 2022
Externally publishedYes
Event2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 - Greater Noida, India
Duration: 28 Apr 202229 Apr 2022

Publication series

Name2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022

Conference

Conference2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
Country/TerritoryIndia
CityGreater Noida
Period28/04/2229/04/22

Keywords

  • Algorithm
  • automatic assistance
  • classification
  • clustering
  • Data Acquisition
  • Data Management
  • Data processing
  • Data protection
  • data wrangling
  • Deep learning
  • Healthcare
  • imputation
  • Internet of things
  • Interpretation
  • probabilities
  • regression
  • Security
  • statistics
  • supervised learning

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