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 rising incidence of lifestyle-related diseases, including Diabetes, Heart Disease, and Parkinson’s Disease, underscores the necessity for early detection and preventive strategies. This study presents a disease prediction system that has been machine learning algorithms. The system meticulously developed using core Python and customized estimates the probability of these conditions by examining health metrics that are affected by dietary and lifestyle factors. Each model is trained on meticulously curated datasets, employing pre-processing methods such as normalization and label encoding. The evaluation of performance is carried out using metrics such as accuracy, precision, recall, and F1-score. Furthermore, the system promotes dietary awareness and personalized healthcare, merging AI-driven predictions with health-focused design to motivate proactive self-care.
Keywords:
Disease Prediction; Diabetes; Heart Disease; Parkinson’s; Nutrition; Machine Learning from Scratch; Preventive Healthcare; Personalized Health Insights
Cite Article:
"Intelligent Disease Prediction and Diet Recommender", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a650-a654, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505076.pdf
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000247
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