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https://github.com/bintangyosua/alzheimer

This repository contains a dataset and analysis focused on the risk factors associated with Alzheimer's disease. The dataset includes comprehensive patient information, demographic details, lifestyle factors, medical history, clinical measurements, cognitive assessments, and symptomatology.
https://github.com/bintangyosua/alzheimer

alzheimer alzheimer-disease-prediction alzheimers-disease k-nearest-neighbours knn knn-classification knn-classifier machine-learning ml xgboost xgboost-classifier xgboost-model

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This repository contains a dataset and analysis focused on the risk factors associated with Alzheimer's disease. The dataset includes comprehensive patient information, demographic details, lifestyle factors, medical history, clinical measurements, cognitive assessments, and symptomatology.

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---
title: Alzheimer
emoji: 🐨
colorFrom: indigo
colorTo: indigo
sdk: docker
pinned: false
license: mit
short_description: XGBoost and KNN Notebooks.
---

# Klasifikasi Penyakit Alzheimer dengan algoritma XGBoost dan K-Nearest Neighbors

Aplikasi ini dapat dibuka dengan 2 cara

- Menggunakan Python Notebook seperti Jupyter Notebook
- Menggunakan Marimo (reactive notebook)

Anda juga dapat membuka kode ini pada repositori huggingface [di sini](https://huggingface.co/spaces/bintangyosua/alzheimer)

## Tutorial Menjalankan Project dengan Marimo

1. Install semua dependensi yang diperlukan pada file `requirements.txt`

```bash
pip install -r requirements.txt
```

2. Buka Source Code dengan Marimo menggunakan perintah di bawah

```bash
marimo edit app.py
```

3. Tunggu hingga marimo selesai melakukan running seluruh code.