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
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
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Data Collection | Miscellaneous | 10 | 1000 | 10000 |
| Total in (Rs) | 10000 |
If you need this project, please contact me on contact@adikhanofficial.com
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