Build a binary image classification model to detect if the image contains pneumothorax. If yes, then pass it through a semantic segmentation model to identify and mark the affected part.

Source: https://www.svhlunghealth.com.au/conditions/pneumothorax

Table of Contents:
1. Introduction
2. Types of Pneumothorax Disease
3. Symptoms
4. Diagnosis
5. Business Problem
6. DL Formulation
7. Business Constraints
8. Dataset Column Analysis
9. Performance metric
10. Exploratory Data Analysis
11. Existing Approaches and Improvements in my model
12. Data Preprocessing
13. Deep Learning Models
14. Final Data Pipeline
15. Error Analysis
16. Future work
17. LinkedIn and GitHub Repository
18. Reference

1. Introduction:

What is Pneumothorax disease?
A…

Build a binary classification model based on the claims filed by the provider along with Inpatient data, Outpatient data, Beneficiary details to predict Healthcare Provider Fraud.

Table of Contents:
1. Introduction
2. Types of Healthcare Provider Fraud
3. Business Problem
4. ML Formulation
5. Business Constraints
6. Dataset Column Analysis
7. Performance metric
8. Exploratory Data Analysis
9. Existing Approaches and Improvements in my model
10. Data Preprocessing
11. Machine Learning Models
12. Final Data pipeline
13. Future work
14. LinkedIn and GitHub Repository
15. Reference

1. Introduction:

What is Healthcare Fraud?
Fraud is defined as any deliberate and dishonest act committed with the knowledge that it could result in an unauthorized benefit to the person committing the act or someone else who is similarly not entitled to the…

Anik Manik

Machine Learning Enthusiast

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