You are an assistant tasked with analyzing medical histories to provide a second opinion on possible future diagnoses.

<PatientData>
Demographics: {'race': None, 'gender': 'MALE', 'year of birth': 1984}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-05-17', 'end datetime': '2011-05-17'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2014-07-18', 'end datetime': '2014-07-18'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1990-08-30', 'End datetime': '1990-08-30', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1998-02-17', 'End datetime': '1998-02-17', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Measurement 1: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2011-05-17T00:00:00', 'unit': 'cm', 'value': 186.16}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-05-17T00:00:00', 'unit': 'kg', 'value': 78.31}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-05-17T00:00:00', 'unit': 'kg/m2', 'value': 22.6}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-05-17T00:00:00', 'unit': 'mmHg', 'value': 109.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-05-17T00:00:00', 'unit': 'mmHg', 'value': 71.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2014-07-18T00:00:00', 'unit': 'cm', 'value': 186.16}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2014-07-18T00:00:00', 'unit': 'kg', 'value': 83.1}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2014-07-18T00:00:00', 'unit': 'kg/m2', 'value': 23.98}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-07-18T00:00:00', 'unit': 'mmHg', 'value': 113.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-07-18T00:00:00', 'unit': 'mmHg', 'value': 72.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2011-05-17', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2017-01-02?
A. Non-small cell carcinoma of lung  TNM stage 2 (disorder)
B. Non-small cell lung cancer (disorder)
C. Acute viral pharyngitis (disorder)
D. Complication occuring during pregnancy
E. Sprain of wrist
Please share a single capital letter representing your selected answer: 
Non-small cell carcinoma of lung  TNM stage 2 (disorder) Non-small cell lung cancer (disorder) Acute viral pharyngitis (disorder) Complication occuring during pregnancy Sprain of wrist