Healthcare Discrepancy Detection Using ML
Budget: ₹600 – ₹1,500 INR
I'm looking for a seasoned data scientist with a strong background in machine learning and healthcare. The objective of this project is to analyze public health data and identify discrepancies in the patient's health records.
Key project details:
- We will be using public health datasets as our primary source of data.
- The main focus of the project would be to identify discrepancies within the patient's health records, especially issues related to CBC reports like low RBC or WBC counts.
- Create a webapp interface with ML functioning integrated.
The ideal candidate should:
- Have a proven record of working on machine learning projects with a healthcare application.
- Be proficient in data analysis, specifically in working with public health datasets.
- Demonstrate experience in identifying discrepancies in medical data.
If you're confident in your abilities to deliver accurate and actionable insights from healthcare data, I'd love to hear from you.
Key project details:
- We will be using public health datasets as our primary source of data.
- The main focus of the project would be to identify discrepancies within the patient's health records, especially issues related to CBC reports like low RBC or WBC counts.
- Create a webapp interface with ML functioning integrated.
The ideal candidate should:
- Have a proven record of working on machine learning projects with a healthcare application.
- Be proficient in data analysis, specifically in working with public health datasets.
- Demonstrate experience in identifying discrepancies in medical data.
If you're confident in your abilities to deliver accurate and actionable insights from healthcare data, I'd love to hear from you.