Python-Powered Machine Learning App Development For Advanced Analytics
About Client
The leading healthcare organization approached Aegis SoftTech to enhance its patient screening and outcomes through predictive analytics and data-driven insights.
Problem Statement
The healthcare organization was relying on a traditional method and was facing many challenges in predicting patient readmissions accurately. Due to this, They had to face many capital loss and poor patient outcomes. They needed a scalable solution to integrate with the existing systems. They said;
“We are facing difficulty in identifying high-risk patients for readmission as we are unable to use the EHR data efficiently.”
Solutions Offered By Aegis Softtech
As a reliable Python development company, Aegis has ruled out the solutions to address their pain points and stepped in to offer ML app development services that can enhance patient screening outcomes.
Technologies We Used
Python, Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn, Fast API, Azure, Docker.
Our Development Process
- We performed the requirement analysis, gathered the relevant data, performed exploratory data analysis, and pre-processed the data.
- Developed new features to improve the model’s predictive capabilities.
- Developed and evaluated the ML model performance and reliability.
- Deployed the model by creating RESTful API using Fast API and hosted the solution on Azure with Docker.
- We ensured that the predictive model was effectively integrated into the company’s existing HER system.
Outcome
Aegis Python programmers have successfully developed and deployed an efficient predictive Model to predict patient readmissions.
- 70% of recall and 80% of accuracy in identifying high-risk patients.
- 20% of hospital readmission rates are reduced within a few months.
Future Implications
Aegis SoftTech has delivered Machine learning development solutions paving the path for further advancements in the model, such as
- Continuous enhancement of the model with new data.
- Predictive analytics for other healthcare challenges.
Conclusion
Aegis SoftTech’s developers have 15+ years of experience and expertise in Python and other advanced technologies to deliver a robust Python-powered ML application that the organization's method of patient readmission predictions has improved.
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