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Is your feature request related to a problem? Please describe.
Kidney stones are a common and painful condition affecting millions worldwide. Accurate prediction of kidney stone formation can aid in early intervention and reduce medical complications. However, predicting kidney stones is challenging due to the complex interplay of various health factors. This project aims to create a neural network model to predict kidney stone disease, based on patterns identified through EDA on medical data.
Describe the solution you'd like
This project develops a predictive model for kidney stone disease using neural networks, leveraging a dataset of patient medical records. Through extensive exploratory data analysis (EDA), the project uncovers significant patterns in the data, enabling a machine learning model to accurately predict the presence of kidney stones.
The text was updated successfully, but these errors were encountered:
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Is your feature request related to a problem? Please describe.
Kidney stones are a common and painful condition affecting millions worldwide. Accurate prediction of kidney stone formation can aid in early intervention and reduce medical complications. However, predicting kidney stones is challenging due to the complex interplay of various health factors. This project aims to create a neural network model to predict kidney stone disease, based on patterns identified through EDA on medical data.
Describe the solution you'd like
This project develops a predictive model for kidney stone disease using neural networks, leveraging a dataset of patient medical records. Through extensive exploratory data analysis (EDA), the project uncovers significant patterns in the data, enabling a machine learning model to accurately predict the presence of kidney stones.
The text was updated successfully, but these errors were encountered: