💡[Feature]: Dementia disease prediction using Machine learning

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Feature Description

Dementia is a broad term for a range of conditions characterized by a decline in cognitive function severe enough to interfere with daily life. It encompasses symptoms such as impaired memory, reasoning, and communication skills, often accompanied by changes in mood and behavior. This project aims to predict the early dementia thereby user can get related remedial treatments at early stages.

I will do a complete data analysis ,EDA , data science steps , apply 4-5 ML models ,compare them and will build the web application for dementia detection using ML by using Streamlit library.

dataset link : https://www.kaggle.com/datasets/timothyadeyemi/dementia-patient-health-dataset

Use Case

The machine learning model can analyze diverse health-related parameters and lifestyle factors to predict the onset of dementia, thus aiding in early diagnosis and intervention. It can also facilitate research by identifying potential correlations and patterns among various risk factors and dementia status, contributing to a better understanding of the disease.

Benefits

Early detection through this model allows for timely medical and lifestyle interventions, potentially slowing disease progression and improving patient outcomes. Additionally, the insights gained from the model can inform public health policies and preventative strategies, enhancing overall community health and resource allocation.

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