We will examine 100 patients (all synthetic) using data in FHIR R4. All the data for this assignment is located at the following GitHub repository: https://github.com/jddamore/BU_CS781

Answer the following questions by parsing all 100 files. submit programming script(s) for questions as well as an answer. For question 4, you should explain how you calculated the results.

1. How many patient problems (Condition resource) are there in total across the 100 patients?

2 How many patients are receiving the Medication Lasix 40 (RxNorm code: 315971)?

3 A prescription (MedicationRequest resource) may be indicative of a specific disease. List the Patient.id for any patient who is prescribed any of the following medications for hypertension:

1. 834357: 3 ML Amiodarone hydrocholoride 50 MG/ML Prefilled Syringe
2. 999969: Amlodipine 5 MG / Hydrochlorothiazide 12.5 MG / Olmesartan medoxomil 20 MG
3. 197361: Amlodipine 5 MG Oral Tablet
4. 833036: Captopril 25 MG Oral Tablet
5. 429503: Hydrochlorothiazide 12.5 MG
6. 316049: Hydrochlorothiazide 25 MG
7. 315971: Lasix 40mg
8. 897718: Verapamil Hydrochloride 40 MG

4 Using a prescription for a hypertension medication defined in 3 as a predictor (i.e. predictive test) for the presence of "Hypertension" (SNOMED code 59621000), list the following attributes of the test:

1. What is the "true positive" from the 2x2 of this predictor of disease. This is an integer, not a percentage
2. The predictor sensitivity
3. The predictor specificity

I need answers to questions in python code