• Riya Yadav
• Dr. Ashish Tamrakar
• Khusboo Sao
• MD. Arif Khan

In recent years, the field of computer science has made significant strides in healthcare applications, particularly in the domain of medical diagnosis. This paper presents a novel approach utilizing computer science techniques for the automated analysis of blood reports. By leveraging machine learning algorithms, image processing techniques, and data analytics, our system aims to assist healthcare professionals in accurately interpreting blood test results, identifying abnormalities, and facilitating timely diagnosis and treatment. We discuss the design, development, and evaluation of our automated blood report analysis system, highlighting its potential impact on improving diagnostic accuracy, efficiency, and patient outcomes. Additionally, we explore future research directions and challenges in the integration of computer science methodologies into clinical practice for enhanced healthcare delivery.

Automated Blood Report Analysis, Computer Science, Machine Learning, Medical Diagnosis, Healthcare Technology, Image Processing, Data Analytics

"AUTOMATED BLOOD REPORT ANALYSIS: A COMPUTER SCIENCE APPROACH FOR MEDICAL DIAGNOSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g387-g393, April-2024, Available :http://www.jetir.org/papers/JETIRTHE2109.pdf

"AUTOMATED BLOOD REPORT ANALYSIS: A COMPUTER SCIENCE APPROACH FOR MEDICAL DIAGNOSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg387-g393, April-2024, Available at : http://www.jetir.org/papers/JETIRTHE2109.pdf