• Ms. K. Rajeswari
• Ms. Mamidi Hanvee Reddy
• Ms. N Leela Maanasa

Blood is a fluid that transports oxygen and nutrients to the cells and carries away carbon dioxide and other waste products. There are various types of blood groups which a person may inherit from the parents. This blood group type is usually determined using the Blood Group Typing test. There is an alternative way wherein a person’s blood group is predicted using the parents’ blood group. We have developed a machine learning model based on this idea. We used SGDClassifier, RandomForestClassifier, LogisticRegression, KNeighborsClassifier, GaussianNB, Perceptron, LinearSVC and DecisionTreeClassifier algorithms. On analyzing the performance of these algorithms we found that RandomForestClassifier and DecisionTreeClassifier gave us the maximum accuracy

Blood Group, Random Forest Classifier, Machine Learning, Decision Tree Classifier

"A Research on Blood Group Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e15-e21, July-2022, Available :http://www.jetir.org/papers/JETIR2207402.pdf

"A Research on Blood Group Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe15-e21, July-2022, Available at : http://www.jetir.org/papers/JETIR2207402.pdf