Update README.md

parent e2636b68
# Virtual Medical Assistant- MEDI AID # Virtual Medical Assistant- MEDI AID
<h1>Digital platform as a centralized medical assistant for patients in Sri Lanka.</h1> <h2>Digital platform as a centralized medical assistant for patients in Sri Lanka.</h2>
**Main objective** <h3>Main objective</h3>
* To create a centralized mobile app for the health industry in Sri Lanka. * To create a centralized mobile app for the health industry in Sri Lanka.
* Incorporating features such as symptom-based disease identification. * Incorporating features such as symptom-based disease identification.
* Doctor recommendation and appointment system * Doctor recommendation and appointment system
...@@ -11,7 +11,7 @@ ...@@ -11,7 +11,7 @@
**Main Research questions** <h3>Main Research questions</h3>
These research problems reflect the challenges and opportunities presented in the development of the mobile app, aiming to address the current gaps in Sri Lanka's health industry. These research problems reflect the challenges and opportunities presented in the development of the mobile app, aiming to address the current gaps in Sri Lanka's health industry.
* Lack of Centralized Health Information System * Lack of Centralized Health Information System
...@@ -21,21 +21,21 @@ These research problems reflect the challenges and opportunities presented in th ...@@ -21,21 +21,21 @@ These research problems reflect the challenges and opportunities presented in th
* Insufficient Actionable Insights from Long-Term Medication Reports * Insufficient Actionable Insights from Long-Term Medication Reports
**Individual research question** </h3>Individual research question</h3>
Component 1: Symptom Analysis and Referral (IT20059040) **Component 1: Symptom Analysis and Referral (IT20059040)**
How can machine learning and natural language processing techniques be used to accurately identify diseases based on symptoms and suggest the appropriate type of physician? How can machine learning and natural language processing techniques be used to accurately identify diseases based on symptoms and suggest the appropriate type of physician?
Component 2: Doctor Recommendation and Appointment Booking (IT20082642) **Component 2: Doctor Recommendation and Appointment Booking (IT20082642)**
How can patient feedback and previous medication history be leveraged to recommend the most suitable doctor and enable online appointment booking How can patient feedback and previous medication history be leveraged to recommend the most suitable doctor and enable online appointment booking
Component 3: Medical Record Analysis and Patient Instructions(IT20033514) **Component 3: Medical Record Analysis and Patient Instructions(IT20033514)**
How can medical records be processed and analyzed to provide accurate assessments of a patient's condition and deliver personalized instructions for disease prevention and control? How can medical records be processed and analyzed to provide accurate assessments of a patient's condition and deliver personalized instructions for disease prevention and control?
Component 4: Long-Term Medication Monitoring and Reporting (IT20075408) **Component 4: Long-Term Medication Monitoring and Reporting (IT20075408)**
How can long-term medication adherence be monitored and appropriate action be taken for patients with non-communicable diseases? How can long-term medication adherence be monitored and appropriate action be taken for patients with non-communicable diseases?
**Individual Objectives** </h3>Individual Objectives</h3>
*Component 1: Symptom Analysis and Referral (IT20059040)* *Component 1: Symptom Analysis and Referral (IT20059040)*
* Develop a comprehensive database of symptoms and their corresponding diseases. * Develop a comprehensive database of symptoms and their corresponding diseases.
* Train a machine learning model using symptom-disease mapping data. * Train a machine learning model using symptom-disease mapping data.
...@@ -68,7 +68,7 @@ How can long-term medication adherence be monitored and appropriate action be ta ...@@ -68,7 +68,7 @@ How can long-term medication adherence be monitored and appropriate action be ta
* Implement features that facilitate communication between patients and healthcare providers to address any concerns or issues related to long-term medication. * Implement features that facilitate communication between patients and healthcare providers to address any concerns or issues related to long-term medication.
**Other necessary information** <h3>Other necessary information</h3>
In addition to the individual research questions and objectives, there are other necessary information and considerations for this research project. Some of them include: In addition to the individual research questions and objectives, there are other necessary information and considerations for this research project. Some of them include:
1. *Data Collection*: Determine the sources and methods for collecting symptom data, patient feedback, medication history, and medical records. Ensure compliance with data protection and privacy regulations. 1. *Data Collection*: Determine the sources and methods for collecting symptom data, patient feedback, medication history, and medical records. Ensure compliance with data protection and privacy regulations.
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment