- Academic Paper -1 : A study of Machine Learning algorithms to predict liver cirrhosis and its stage (International Journal of Advanced Research, Ideas and Innovations in Technology)
Liver cirrhosis is a chronic liver disease that can lead to liver failure and other serious complications. Early detection of liver cirrhosis and its stage is critical for effective management and treatment. In recent years, machine learning algorithms have shown promising results in predicting liver cirrhosis and its stage. This paper presents a study on the effectiveness of various machine learning algorithms in predicting liver cirrhosis and its stage. The study utilized a large dataset of patients with liver cirrhosis and applied different machine learning techniques, including decision trees, random forests, support vector machines, and artificial neural networks. The results of the study demonstrate the potential of machine learning algorithms in accurately predicting liver cirrhosis and its stage, which can aid in early detection and intervention.
- Academic Paper - 2 : Indian Penal Code Recognition Using Multiclass Classification Algorithms in Machine Learning (International Journal of Innovative Science and Research Technology)
In the paper, I describe how I used multiclass classification algorithms to train a model that can accurately identify and classify different types of penal code violations. This is a significant contribution to the field of machine learning in the context of Indian law and justice. My research has the potential to improve the efficiency and accuracy of the legal system by automating the process of identifying and categorizing penal code violations. Overall, my paper provides valuable insights into the application of machine learning in the context of law and justice and has important implications for the Indian legal system.