VITAMIN D, B12 DEFICIENCY AND ANAEMIA DETECTION USING MACHINE LEARNING TECHNIQUES
Alt Text: Machine Learning-Based Detection of Vitamin D, B12 Deficiency and Anaemia Title: Vitamin D, B12 Deficiency and Anaemia Detection Using Machine Learning Techniques Caption: AI-driven detection system for vitamin deficiencies and anaemia using machine learning Description: This paper proposes a machine learning-based method for detecting vitamin D and B12 deficiency, along with anaemia, using blood serum values and MCV reports, providing accurate and user-friendly health assessments. Keywords: Vitamin D deficiency, vitamin B12 deficiency, anaemia detection, machine learning algorithm, blood reports, AI-based recommendations
International Journal of Engineering and Techniques – Volume 10 Issue 3, May 2024
Mrs. Dakshayini G R1, Vijayalakshmi D2, Prerana Kumari3, Jeevan Reddy R4, Nandan Kumar N5 1Assistant Professor, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: dakshayini@kssem.edu.in 2Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: dvijayalakshmi911@gmail.com 3Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: prerana99010@gmail.com 4Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: jeevanani2733@gmail.com 5Student, Department of Computer Science and Engineering, KSSEM, Bengaluru, Karnataka, India Email: nkumarn354@gmail.com
Abstract
Millions of people worldwide suffer from vitamin deficiencies that negatively impact their daily lives. Health issues associated with vitamin deficiencies are rising due to a lack of awareness about symptoms and nutritional needs. This study introduces a machine learning-based algorithm for detecting deficiencies in vitamin D and B12, as well as anaemia, using serum values and MCV blood reports. Incorporating AI-based recommendations, the system provides a user-friendly interface for self-assessment and personalized health insights, eliminating the need for prior medical consultation.
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