https://github.com/gdapriana/diadetect
Machine learning program, to detect diabetes using classification algorithm, Neural Network
https://github.com/gdapriana/diadetect
nextjs tensorflow
Last synced: 11 months ago
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Machine learning program, to detect diabetes using classification algorithm, Neural Network
- Host: GitHub
- URL: https://github.com/gdapriana/diadetect
- Owner: gdapriana
- Created: 2023-10-12T14:33:47.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-13T06:10:33.000Z (over 2 years ago)
- Last Synced: 2024-07-29T21:22:05.605Z (almost 2 years ago)
- Topics: nextjs, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 4.6 MB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Diadetect
> ❗ still development
> Diadetect is an application designed to detect the likelihood of diabetes based on user-input data. The application utilizes a TensorFlow neural network for its predictive model and is built for mobile platforms using React Native.
## ✅ Features
- **User-Friendly Interface:** Intuitive and easy-to-use design for seamless user interaction.
- **Predictive Model:** Powered by a TensorFlow neural network, DiaDetect provides accurate predictions based on input parameters.
**Input Parameters:**
| 📛 Name | ❓ How to get | 📖 Description |
| :-------- | :------- | :------------------------- |
| `Pregnancies` | This information is typically gathered from medical records or the patient's medical history. Patients can provide details about their previous pregnancies during medical consultations. | The number of pregnancies a woman has experienced. |
| `Glucose levels` | Glucose levels are measured through blood tests. Patients can undergo blood tests at healthcare laboratories or use home blood glucose meters for self-monitoring. | The concentration of glucose (sugar) in the blood. |
| `Blood pressure` | Blood pressure measurement is commonly done using a sphygmomanometer. This test can be performed at healthcare facilities, clinics, or even at home using digital blood pressure monitors. | The force of blood against the walls of the arteries, usually measured in millimeters of mercury (mmHg). |
| `Skin thickness` | Measurement of skinfold thickness is typically done by healthcare professionals using a tool called a skinfold caliper. | Refers to the thickness of a fold of skin at a specific location on the body. |
| `Insulin levels` | Insulin levels are measured through blood tests conducted in healthcare laboratories. | The amount of insulin in the blood, a hormone crucial for regulating blood sugar. |
| `BMI (Body Mass Index)` | BMI is calculated based on weight and height measurements. Weight can be measured using scales, and height can be measured using a stadiometer. | A numerical value of a person's weight in relation to their height. |
| `Diabetes pedigree function` | Information about the family history of diabetes is obtained from the patient. Patients provide details about whether any family members have a history of diabetes. | A function presenting the family history of diabetes and estimating the genetic risk associated with diabetes. |
| `Age` | Age information is obtained directly from the patient during medical consultations or can be derived from personal identification data. | The age of the individual. |
## Getting Started
### Prerequisites
- Node.js and npm installed
- Python
### Installation
> coming soon