CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)

until 4 years ago, what are the five most frequent medications prescribed within 2 months to the male patients aged 30s after having been diagnosed with ac posthemorrhag anemia?
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ac posthemorrhag anemia') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 30 AND 39 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5
WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'm' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 39 AND "admissions"."age" >= 30 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'ac posthemorrhag anemia' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."startdate") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."startdate") WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 5