Update README.md

README.md

@@ -130,5 +130,74 @@ and pneumonia by using chest X-ray images.
 * Developing an algorithm to analyze a sample of captured chest x-ray images to predict the disease. 
 
 * Developing a method for classifying lung diseases
-. 
 
+**IT18121698 Dias M.H.V**
+Pneumonia, covid-19 are fatal diseases if it not detected on time. If it 
+diagnoses at the right moment lots of lives will be saved.  Coronavirus disease 2019 (COVID-19)
+is a respiratory tract infection caused by beta coronavirus SARS-CoV-2. Pneumonia
+is an infection that inflames the air sacs in one or both lungs. So, both 
+diseases cannot be taken as easy.  
+When it comes to identifying these diseases there’s lack of facilities to detect
+these diseases on time in developing countries. Great majority of these deaths
+occur in resource-limited settings. There is no proper way than going to hospital
+and do a PCR test to identify whether they are infected or not. In developing 
+countries, there is a lack of resources to do these tests. So, the time taken to
+a PCR test for a particular person is high. Sometimes it takes one week or more 
+than that.
+n these situations, patients must wait for long time and it is stressful. 
+If there is a proper and speed method which gives the output in a very accurate 
+way, that will be helpful. Then patients no longer wait for a long time and will
+not be stressed.
+When compared to the existing applications which have developed to identify 
+covid-19, most of the applications only have the x-ray classification. The only 
+output which we can get from those applications is whether we are positive or 
+negative for pneumonia/covid-19. Those applications only consider x-ray screening. 
+It does not give priority to the patient’s current health condition. Therefor the
+accuracy level seems very low.
+Patients who have undergone for surgeries, pregnancy conditions are major factors 
+when compared to normal people who suffer from pneumonia and covid-19. They must
+be specially considered when identifying the disease. They should give a high 
+priority level and should be advised responsibly. But in the existing applications
+there is no such priority given to those special people. It is another major 
+problem that we have noticed during the literature survey. If this problem 
+addressed properly it should helpful.
+When a person suspected positive for pneumonia or covid-19 he/she should be 
+advised about what they should do. Those patients should be directed for doctor
+recommendation.  The existing applications do not have that facility. It is 
+another major issue that we have monitored. Those applications only facilitate 
+identifying and notify patients whether they are infected from pneumonia.
+
+**Objectives**
+Advice patient according to their severity level, give doctor recommendation 
+if necessary is one of the most important section to be implement after the 
+x-ray, CT scan classification. It is dominant to note that despite the fact 
+that intelligent bots can offer identify the severity level, valuable facts 
+and symptoms, they aren’t qualified and don’t have the authority to give an 
+official treatment for diagnosis. Become the first point of contact before 
+any human involvement is the main proposition behind these smart texting algorithms.
+
+
+* Implement user friendly reliable communication method to interact with patient and gather information:  
+
+To give an accurate result we have to get a clear understanding about the 
+patient’s current health condition and past. In order to do that we suppose 
+to implement intelligent bot to interact with the patient. This is a chunk 
+of software that administer a discussions with patients via textual methods. 
+chronic diseases, pregnancy, bad health habits, surgeries etc., are the basic 
+information that we planned to ask from the patients. 
+
+
+* To monitoring current health condition:  
+
+To get an idea about what a patient is going through, the app asks them how the 
+current condition of health and health history from a menu of descriptive words 
+is. ex, if they are suffering from headache at the moment, they can rate that 
+emotion/pain from “slightly” to “extremely.”  
+
+
+* To give doctor recommendation/advice according to the severity level.  
+
+Analyze the severity level of the patient considering about all the data that 
+gathered via     the question answering system. According to the severity level
+patient will be advised what he/she can do as the next step and if its possible
+we suppose to give medical recommendation.