Chronic Kidney disease prediction using Machine Learning

My inspiration for undertaking the chronic kidney disease prediction project stems from the pressing need to address a growing healthcare concern. In today's world, chronic kidney disease has become increasingly prevalent, affecting a substantial portion of the population. The alarming fact is that many individuals remain unaware of their condition until it reaches advanced stages, making it a significant public health challenge and the main inspiration is one of my own household is facing this. so, that led me aware of it and led to the project.

What does is pretty simple that it is already trained on the large dataset it has some parameters to predict whether a person is suffering from chronic kidney disease or not like blood urea ,creatinine, hemoglobin ..... you have to give it values and it predicts ... Built it by importing large dataset and trained it and given the real world data and tested and used various libraries like scikit learn .

Challenging factors in datasets to clear the null values and make string values to numerical values Now after all that our machine learning model predicts with best accuracy The next aim is to make it virtual/visualize the model i.e., we have some parameters to check the patient is chronic kidney diseased or not like by visuals of the patients based on his legs,eyes,growth,and even xrays without being diagonised externally(taking out blood samples).

Built With

• machine-learning
• numpy
• pandas
• python
• streamlit