Efficient Automated Disease Diagnosis Using Machine Learning Models Article Swipe
Naresh Kumar
,
Nripendra Narayan Das
,
Deepali Gupta
,
Kamali Gupta
,
Jatin Bindra
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/9983652
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/9983652
Recently, many researchers have designed various automated diagnosis models using various supervised learning models. An early diagnosis of disease may control the death rate due to these diseases. In this paper, an efficient automated disease diagnosis model is designed using the machine learning models. In this paper, we have selected three critical diseases such as coronavirus, heart disease, and diabetes. In the proposed model, the data are entered into an android app, the analysis is then performed in a real-time database using a pretrained machine learning model which was trained on the same dataset and deployed in firebase, and finally, the disease detection result is shown in the android app. Logistic regression is used to carry out computation for prediction. Early detection can help in identifying the risk of coronavirus, heart disease, and diabetes. Comparative analysis indicates that the proposed model can help doctors to give timely medications for treatment.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2021/9983652
- https://downloads.hindawi.com/journals/jhe/2021/9983652.pdf
- OA Status
- hybrid
- Cited By
- 154
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3158436765
All OpenAlex metadata
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https://openalex.org/W3158436765Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2021/9983652Digital Object Identifier
- Title
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Efficient Automated Disease Diagnosis Using Machine Learning ModelsWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-05-04Full publication date if available
- Authors
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Naresh Kumar, Nripendra Narayan Das, Deepali Gupta, Kamali Gupta, Jatin BindraList of authors in order
- Landing page
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https://doi.org/10.1155/2021/9983652Publisher landing page
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https://downloads.hindawi.com/journals/jhe/2021/9983652.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/jhe/2021/9983652.pdfDirect OA link when available
- Concepts
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Machine learning, Computer science, Artificial intelligence, Logistic regression, Android (operating system), Disease, Medicine, Pathology, Operating systemTop concepts (fields/topics) attached by OpenAlex
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154Total citation count in OpenAlex
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2025: 18, 2024: 53, 2023: 54, 2022: 26, 2021: 3Per-year citation counts (last 5 years)
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61Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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