International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 05 | May 2024
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p-ISSN: 2395-0072
PREDICTION OF CHILDREN BLOOD GROUP USING PARENTS BLOOD GROUP Madesh K N1,Prof .Vidyashankar2,Prof.Shilpa R V3 1UG Scholar(BCA),Dept. of computer science, JSS College Arts, Commerce, Science (JSSCACS), Mysore, Karnataka,
India
2HOD & Professor, Dept. of computer science, JSS College Arts, Commerce, Science (JSSCACS), Mysore, Karnataka,
India
3Professor, Dept. of computer science, JSS College Arts, Commerce, Science (JSSCACS), Mysore, Karnataka, India
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Abstract - Abstract - Many medical applications, such as
determining a child's precise blood type from their parents' blood types necessitates statistical analysis and a sophisticated grasp of genetic relationships. This is where our research enters the picture. We use cutting edge machine learning algorithms to accurately forecast outcomes and decipher the complexity of blood group inheritance. Repercussions from precise blood group prediction are extensive and extend across several healthcare sectors. To avoid negative responses during blood transfusions, it is crucial to make sure the blood types of the donor and the recipient are compatible. Healthcare practitioners can improve patient safety and maximise the effectiveness of transfusion treatments by anticipating a child's blood type with accuracy and taking pre-emptive measures to identify potential compatibility concerns.
genetic counselling and transfusion therapy, depend on an understanding of the inheritance patterns of ABO blood groups. We looked at how well parents' blood types predict the possible blood group of their children in this study. We examined all potential pairings of alleles inherited from each parent using a computational method based on Punnett squares in order to predict the blood type of the child. The amalgamation of the parents' blood types offers significant information on the probable blood types of the progeny, as our findings indicate. We discovered that a child's probable blood types can vary depending on the blood group combinations of its parents; some combinations result in a smaller range of possible outcomes. Furthermore, the significance of taking into account genetic heterogeneity within populations and the possibility of uncommon blood group phenotypes is underscored by our findings. Our findings have consequences for clinical practice and advance our understanding of ABO blood group inheritance. They are especially relevant when discussing blood transfusions, organ transplantation, and genetic counselling. The accuracy of predicting a child's blood group based on their parents' blood types may be improved by additional study using bigger sample sizes and genetic markers.
1.1 Scope Investigating the ability of parental blood groups to predict the probable blood group of their kids is the goal of this study. The study specifically intends to use computational techniques, including Punnett squares, to examine potential allele combinations inherited from each parent and forecast the blood group of the offspring. The study also intends to evaluate the variation in expected results depending on various parental blood group combinations and investigate the clinical practice implications of these results, encompassing genetic counseling, organ transplantation, and transfusion therapy.
Key Words:
Blood Groupings Based on ABO,parental connection, ABO antigens, Rh antigens, Random Forest Classifier
1.INTRODUCTION
1.2 Objective
Knowing the blood group inheritance patterns is a key component in the complex field of healthcare. Predicting a child's blood group based on their parent's blood type is extremely important, since it can help with everything from safe blood transfusions to identifying genetic links through paternity testing. Our effort aims to provide insight into the genetic basis of blood type inheritance by creating a predictive model. Blood group inheritance is based on wellestablished genetic theories, most notably Mendelian inheritance. According to this theory, blood groups—which are divided into systems like Rh and ABO—are passed down in predictable ways from parents to their children. But
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Our project's goal is to create a reliable predictive model that can reliably identify a child's blood group from their parents' blood types. Our objective is to give medical professionals a trustworthy tool for predicting the possible blood group results for offspring by utilizing machine learning algorithms and genetic inheritance patterns. Planning blood transfusions, paternity tests, and other medical situations where understanding blood group inheritance is essential are intended to be made easier with the use of this predictive model. Our ultimate goal is to improve patient care and healthcare decision-making by
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