In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.

Example Input: Question: Question linked to image nº11 49-year-old patient without a history of interest. He reports a 2-week history of diffuse abdominal pain independent of ingestion and deposition and accompanied by occasional vomiting, malaise and profuse sweating. Analytical: Hb 12 gr / dL. Leucocytes 10x10 ^ 9 / L (Neutrophil 80%, Lymphocytes 15%, Monocytes 3%, Eosinophils 1%). Platelets 270x10 ^ 9 / L. Glucose 100 mg / dL, Urea 80 mg / dL, Creatinine 1.5 mg / dL, A. Uric 12 mg / dL, LDH 7800 IU / L; GOT, GPT and normal alkaline phosphatase. CT: Large mass (16cm) in retroperitoneum infiltrating pancreas, small bowel loops and right kidney. The biopsy is the one shown in the image. Immunohistochemistry: CD20 (+) CD3 (-) bcl 2 (-), CD10 +, bcl 6 (+), P53 (-), TDT (-) Mib1 (proliferation index) 100%. Genetics: rearrangement of 8q24, c-myc gene. Which is the diagnosis? 
 Options:  <0> Diffuse B-cell large lymphoma. <1> Lymphocytic lymphoma <2> Follicular lymphoma 3b. <3> T-cell lymphoma of the intestinal type. <4> Burkitt lymphoma.
Example Output: medicine

Example Input: Question: The Scorecard is: 
 Options:  <0> The set of rules that govern the internal functioning of an institution. <1> A set of data and indicators, which serves as an information and control tool for management. <2> The list of the names and positions of the Steering Committee of an institution. <3> A control panel, used by the Directors of institutions, that allows them to access all electronic services and applications online. <4> An economic-financial report, which allows to know basically the deviations of the expenses and income of an institution.
Example Output: nursery

Example Input: Question: The probability that a person free of a disease develops it during a period of time, corresponds to: 
 Options:  <0> Chance. <1> Prevalence <2> Specificity <3> Forecast. <4> Risk.
Example Output:
nursery