https://github.com/aminkhavari78/-maternal-health-risk-data-set

In this part I'm working on Maternal Health Risk Prediction
https://github.com/aminkhavari78/-maternal-health-risk-data-set

data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn

Last synced: about 1 month ago
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In this part I'm working on Maternal Health Risk Prediction

• Host: GitHub
• URL: https://github.com/aminkhavari78/-maternal-health-risk-data-set
• Owner: AminKhavari78
• License: mit
• Created: 2022-09-27T13:40:55.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-30T08:59:04.000Z (about 1 year ago)
• Last Synced: 2023-12-30T09:33:48.724Z (about 1 year ago)
• Topics: data-science, linearsvc, machine-learning, matplotlib, numpy, pandas, scatter-plot, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 23.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# -Maternal-Health-Risk-Data-Set

## Data Descriptions

Data has been collected from different hospitals, community clinics, maternal health cares through the IoT based risk monitoring system.

Age: Age in years when a woman is pregnant.

SystolicBP: Upper value of Blood Pressure in mmHg, another significant attribute during pregnancy.

DiastolicBP: Lower value of Blood Pressure in mmHg, another significant attribute during pregnancy.

BS: Blood glucose levels is in terms of a molar concentration, mmol/L.

HeartRate: A normal resting heart rate in beats per minute.

Risk Level: Predicted Risk Intensity Level during pregnancy considering the previous attribute.

## Solve Problem

use LinearSVC for predition