Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The goal of this project is to develop a machine learning-based medical diagnosis and consultation system. The system aims to leverage the power of machine learning algorithms to provide accurate and efficient diagnosis of medical conditions. By analyzing patient symptoms and medical history, the system will be able to predict potential diseases and offer relevant consultation. The implementation of this system has the potential to enhance healthcare delivery, improve diagnostic accuracy, and provide timely medical advice to patients.
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Cite Article:
"House.AI - A Machine Learning based Web Application for Human Disease Prediction", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.424 - 428, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306064.pdf
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000205121
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator