1sf/bird-sql-train-with-schema huggingface dataset:
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: How many Italian patients have the care plan code of 304510005?
Evidence: Italian patients refers to ethnicity = 'italian';
SQL: SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: What is the percentage of female patients who started the care plan in 2010?
Evidence: female patients refers to gender = 'F'; started the care plan in 2010 refers to substr(careplans.START, 1, 4) = '2010'; percentage = MULTIPLY(DIVIDE(COUNT(patients.patient WHERE patients.gender = 'F'), COUNT(patients.patient) WHERE substr(careplans.START, 1, 4) = '2010'), 100);
SQL: SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) AS percentage FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.START) = '2010'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: How many black patients stopped their care plan in 2017?
Evidence: black refers to race = 'black'; stopped their care plan in 2017 refers to substr(careplans.STOP, 1, 4) = '2017';
SQL: SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: How many male patients have prediabetes condition?
Evidence: male refers to gender = 'M'; prediabetes condition refers to conditions.DESCRIPTION = 'Prediabetes';
SQL: SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 WHERE T2.DESCRIPTION = 'Prediabetes' AND T1.gender = 'M'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: List the full names of patients with nut allergy.
Evidence: full names = first, last; nut allergy refers to allergies.DESCRIPTION = 'Allergy to nut';
SQL: SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Describe the condition of patient Wilmer Koepp.
SQL: SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Wilmer' AND T1.last = 'Koepp'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Among the patients with viral sinusitis condition, which patient's gender is most affected? Provide the number for each respectively.
Evidence: viral sinusitis condition refers to conditions.DESCRIPTION = 'Viral sinusitis (disorder)'; gender that is most affected refers to MAX(COUNT(gender WHERE conditions.DESCRIPTION = 'Viral sinusitis (disorder)'));
SQL: SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Provide the full names of patients who have been taking Penicillin V Potassium 250 MG since 1948.
Evidence: full names = first, last; Penicillin V Potassium 250 MG refers to medications.DESCRIPTION = 'Penicillin V Potassium 250 MG'; since 1948 refers to substr(medications.START, 1, 4) > = '1948';
SQL: SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG' AND strftime('%Y', T2.START) >= '1948'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: How many white patients whose birth year is 1935 have a stroke?
Evidence: white refers to race = 'white'; birth year is 1935 refers to substr(birthdate, 1, 4) = '1935'; stroke refers to conditions.DESCRIPTION = 'Stroke';
SQL: SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE strftime('%Y', T1.birthdate) = '1935' AND T1.race = 'white' AND T2.DESCRIPTION = 'Stroke'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Which conditions the patient has when receiving the IPV immunization?
Evidence: IPV immunization refers to immunizations.DESCRIPTION = 'IPV';
SQL: SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN immunizations AS T3 ON T1.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'IPV'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: List the patient ids whose disease has the most occurrences.
Evidence: patient ids refers to patients.patient; disease with the most occurrence refers to MAX(all_prevalences.OCCURENCES);
SQL: SELECT T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN all_prevalences AS T3 ON T3.ITEM = T2.DESCRIPTION ORDER BY T3.OCCURRENCES DESC LIMIT 1
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: List all the full names of patients with a condition described as cystitis.
Evidence: full names = first, last; condition described as cystitis refers to conditions.DESCRIPTION = ''Cystitis';
SQL: SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: How many male patients have been described as immune to quadrivalent HPV?
Evidence: male refers to gender = 'M'; immune to quadrivalent HPV refers to immunizations.DESCRIPTION = 'HPV quadrivalent';
SQL: SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV  quadrivalent' AND T1.gender = 'M'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Indicate the start date of patient Walter Bahringer's care plan.
Evidence: start date of the care plan refers to careplans.START;
SQL: SELECT DISTINCT T2.start FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer'