Management of Diabetic KetoAcidosis

What is Diabetic KetoAcidosis? Diabetic ketoacidosis (DKA) is a serious complication of diabetes that can be life-threatening. DKA is most common among people with type 1 diabetes. People with type 2 diabetes can also develop DKA. DKA develops when your body doesn't have

Project Title

Management of Diabetic KetoAcidosis

Project Area of Specialization

Software Engineering

Project Summary

What is Diabetic KetoAcidosis?

Diabetic ketoacidosis (DKA) is a serious complication of diabetes that can be life-threatening. DKA is most common among people with type 1 diabetes. People with type 2 diabetes can also develop DKA. DKA develops when your body doesn't have enough insulin to allow blood sugar into your cells for use as energy.

Today in most of our public health centers and hospitals the records and management of DKA is maintained manually.

We are going to develop a system which will not only maintain proper records of DKA patients but also can predict DKA using machine learning technique and also predict proper treatment dosage to be administered to the patient by health care professionals.

We are developing this DKA management software for android smartphones which would be easily usable and data can also be easily accessable remotely directly in the smartphones of health care professionals.

Project Objectives

Objectives of Project

• Prediction of disease using the machine-learning technique.
• Prediction of dosage using the machine-learning technique.
• Proper follow up of patient treatment,
• Show demographic status of patient treatment,

Project Implementation Method

Project Implementation:

• Collection of DKA patients data
• Literature review for DKA management
• Developing Frontend in Flutter
• Backend development in Firebase.
• Training machine learning model by collected data.
• Black box testing and white box testing

Benefits of the Project

• To reduce Hospital stay of patient
• To reduce cost.
• Accuracy of management.
• Reduce Fluid overload (prediction of complication like cerebral edema and arrythmias)
• Reduce Iatrogenic complications (Reduce error from health care professionals side).

Technical Details of Final Deliverable

Technical Details of final deliverable:

• To develop Android application in Flutter SDK
• For backend development use Firebase.
• For prediction train a machine learning model by collected data.

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Decent Work and Economic Growth

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com