• NAGASHREE K B
• Shashidhar S
• Bhuvan J G Swamy
• Rakesh Kashyap B S
• Varsha J

According to the World Health Organization (WHO), anemia, a disorder that poses a risk to one's health because it results from a lack of red blood cells or Haemoglobin in the blood, affects one-fourth of the world's population. Therefore, it is crucial to have an automated, quick, and accurate anemia diagnosis system. A first visual examination of the anterior conjunctiva of the eye by the doctor to rule out anemia is frequently followed by an intrusive blood test. In this study, we developed a system for the noninvasive, automated visual approach of anemia identification. To treat this disease, non-invasive techniques for tracking and recognizing potential anemia risks, as well as smartphone-based devices to carry out this duty, are promising. Since the main goal of our work was not to write a review, we took into consideration certain well-known studies that were conducted on this subject. The most prevalent nutritional deficit, iron deficiency anemia, results in thousands of deaths each year and, regrettably, increases morbidity and mortality in young children and pregnant women. Since 2002, iron deficiency anemia has been regarded as one of the major causes of the world's disease burden. In addition, a sizable population survey revealed that, regardless of gender, about 10% of the elderly were anemic. With an estimated summary proportion of 4% for all other grades, mild anemic cases make up the bulk of cases. Between the ages of 17 and 49, the proportion of male anemic patients is at its lowest and for women it’s seen between the age of 50 and 64 years.

CNN Algorithm, Non-Invasive Anemia, Signal Conditioning, Conjunctiva Image, IR rays

"NON-INVASIVE DETECTION OF ANEMIA USING AI TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.d349-d354, July-2022, Available :http://www.jetir.org/papers/JETIR2207343.pdf

"NON-INVASIVE DETECTION OF ANEMIA USING AI TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppd349-d354, July-2022, Available at : http://www.jetir.org/papers/JETIR2207343.pdf