Intelligent Health Monitoring System Using Deep Learning
Pakistan's healthcare sector generates large amount of data in a variety of forms. It is difficult to utilize this large data for meaningful knowledge discovery. The purpose behind developing an intelligent healthcare system is to allow stakeholders to monitor the following healthcare programs: Tube
2025-06-28 16:27:59 - Adil Khan
Intelligent Health Monitoring System Using Deep Learning
Project Area of Specialization Software EngineeringProject SummaryPakistan's healthcare sector generates large amount of data in a variety of forms. It is difficult to utilize this large data for meaningful knowledge discovery. The purpose behind developing an intelligent healthcare system is to allow stakeholders to monitor the following healthcare programs: Tuberculosis program, Expanded Program of Immunization and Lady Health Worker Program to assist the healthcare sector in improving healthcare services. Our system will handle large amount of healthcare data and present it in a meaningful way. The system will also be useful for understanding the current trends of healthcare programs. Those trends will help stakeholders in decision making and also in the utilization of resources. Another major purpose of our product is to assist decision makers and stakeholders in informed decision making by performing disease forecasting allowing them to prepare for future threats and risks in advance. The predictive analytics feature of the system will also help in allocating staff in the required city/region. The stakeholders will be able to predict the increase in the ratio of patients over a given period allowing them to allocate specialist doctors or lady health workers based on those numbers. Improving health care services requires strengthening various aspects of healthcare services and it is only possible through a data-driven intelligent system.
Project ObjectivesThe healthcare sector is emerging through the use of advanced analytic and data science technologies. Current investment in the infrastructure and IT development is a reflection of this emerging trend. In spite of this trend, countries are slow in providing health-care services due to lack of data-driven analytical support. Information management in healthcare is a major task in the healthcare profession and currently there is a need to focusing our attention on healthcare sector. This demand for intelligent healthcare monitoring services is the reason behind this project. Major objectives include to develop a system that can:-
• Monitor the mentioned healthcare programs and assist the healthcare sector in improving healthcare services.
• Handle large amount of healthcare data and present it in a meaningful way.
• Assist in informed decision making by providing data insights and predicting future risks.
Project Implementation MethodTo develop the proposed system we will follow Scrum methodology which is an agile framework for development of a software product. It is one of the approaches that is used primarily for development of software projects with the goal of delivering new functionality or capability every sprint. A sprint is a time boxed period and is usually of 2 to 4 weeks but can be of one week as well. It supports incremental delivery after each time span and it is also suitable for projects involving less team members. Further benefits that are received by adopting Scrum methodology include higher productivity, better quality products, improved stakeholder satisfaction, and reduced time to market.
The scrum process consist of following phases:
1. Product Backlog Creation: First we will create a product backlog, which is a document that outlines every requirement of a product/system. The product backlog is a type of a to-do list consisting of features/items which are ordered in terms of business value.
2. Product Backlog Refinement: During this step we will review and revise the product backlog items. It is an ongoing process in which the development team and the product owner negotiate on the details of product backlog items.
3. Sprint Planning: In planning phase we will decide what are we going to work on and how we will do it. For this purpose a sprint planning meeting will take place.
4. Sprint Backlog Creation: Next we will create a sprint backlog and each sprint will be assigned specific items/features which we will be delivering at the end of the sprint. For our project each sprint will be of 4 weeks.
5. Sprint Implementation: After creating the sprint backlog, each member of the team will be assigned tasks according to the sprint backlog. A scrum meeting will be held on daily basis for about 15 minutes in which group members will report what they yesterday, and commit what will they do today, and ask questions related to any problems that they are facing.
6. Sprint Review: We will conduct a sprint review meeting at the end of the sprint to ensure that the delivered increment met the requirements and revisit the product backlog on the basis of the received feedback.
7. Sprint Retrospect: A sprint retrospective meeting will be held after we have reviewed the sprint. In this 90 minute meeting, the team will identify the items/features that we fail to deliver during the sprint and work on its solution as well.
Benefits of the Project- Our product will be used by decision/policy makers to assist them in monitoring of the healthcare programs and understanding the healthcare trends.
- The disease forecasting capability of our system will help them to prepare for future risks and threats in advance.
- The proposed data-driven solution will also useful to understand the current trends of healthcare programs. Those trends will help stakeholders in decision making and also in the utilization of resources.
- The proposed system will also evaluate the performance of Lady Health Worker on the basis of data provided by government.
- Our product is intended to be used by healthcare sector helping them in improving healthcare services in the province.
The final deliverable will be a Web based intelligent health monitoring dashboard that will be developed using web technologies like HTML, CSS, and JavaScript along with postgre database. High Chart and High Map API’s will be used to display the data in an efficient manner.
Python and its libraries (e.g. TenserFlow) will be used at the backend to implement deep learning for the purpose of making the dashboard intelligent. We are using Django as a framework which is a high level python based framework. It is a collection of Python libs allowing you to quickly and efficiently create a quality web application, and is suitable for both frontend and backend.
Final Deliverable of the Project Software SystemCore Industry HealthOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 76000 | |||
| Cloud Hosting | Equipment | 1 | 22000 | 22000 |
| Domain | Equipment | 1 | 6500 | 6500 |
| OTP Gateway | Equipment | 1 | 20000 | 20000 |
| External Hard Drive | Equipment | 1 | 20000 | 20000 |
| Printing & Binding of FYP Document | Miscellaneous | 1 | 7500 | 7500 |