Embedded Files
Conceptual Framework
Conceptual Framework
Input
Input
The input to the system includes sensor readings as well as information gathered from the questions presented by the system through the touch screen monitor. The following information will be obtained from the patient:
1. Patient data - this includes name of patient; patient will also be asked to enter a username and password as login credentials.
2. Physical address - covers home address--city, zip code and contact number
3. Demographic information - date of birth, age and sex
4. Travel history - the patient is asked if during the 14 days before onset of illness, the patient travelled to other provinces in the Philippines; if yes, where
5. Signs and symptoms - the patient is asked if the patient experienced the following symptoms:
- Fever lasting 2-10+ days
- Fever now (>37.3 degrees Celsius)
- Vomiting
- Nose bleeding
- Bleeding gums (mucosal bleeding)
- Shaking chills
- Skin manifestation (rashes, itchiness)
- Headache
- Muscle pain
- Joint pain
- Abdominal Pain
- Loss of appetite
- Nausea
- Fatigue
- Cough or Sore Throat
- Colds or Runny Nose
Process
Process
From the gathered information, the system uses forward chaining to process the data. The system then implements fuzzy logic and weighted rules. These then serve as the basis for calculating the percent risk of the patient to contract dengue, chikungunya, and malaria. Finally, based on the percent risk, the system identifies if the patient is unlikely, possible, or likely to have any three of the diseases.
Output
Output
From the information gathered, the system gives a prediagnosis.
For a certain disease with a computed percent risk:
- below 50% - prediagnosis of ‘unlikely’
- between 50% to 70% - pre-diagnosis of ‘possible’
- above 70% - prediagnosis of ‘likely’
The output may consist of a combination of these for the three diseases. Along with the result, a medical advice to increase fluid intake is given.
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