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https://github.com/lakshay-a/data-analysis-for-abnormal-normal-backpain

Aligned with Sustainable Development Goal 3 (Good Health and Well-Being), the project supports efforts to ensure healthy lives and promote well-being for all, regardless of age or socioeconomic status.
https://github.com/lakshay-a/data-analysis-for-abnormal-normal-backpain

data-science exploratory-data-analysis matplotlib pandas python3

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Aligned with Sustainable Development Goal 3 (Good Health and Well-Being), the project supports efforts to ensure healthy lives and promote well-being for all, regardless of age or socioeconomic status.

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# Data-Analysis-for-Abnormal-Normal-Backpain

## Overview
This project focuses on distinguishing between abnormal and normal back pain patterns through data analysis, aligning with SDG 3: Good Health and Well-Being. By developing predictive models and proposing actionable solutions, we aim to improve diagnosis, treatment, and prevention of back pain, ultimately enhancing the quality of life for those affected.

## Objectives
- Analyze back pain data to identify key patterns and contributing factors.
- Develop predictive models to distinguish between abnormal and normal back pain.
- Propose solutions to improve diagnosis, treatment, and prevention.
- Assess the impact of these solutions on health outcomes and healthcare costs.

## Key Features
Pelvic Incidence, Pelvic Tilt, Lumbar Lordosis Angle, Sacral Slope, Pelvic Radius, Degree of Spondylolisthesis, Pelvic Slope, Direct Tilt, Thoracic Slope, Cervical Tilt, Sacrum Angle, Scoliosis Slope, Pain Classification (Normal/Abnormal).