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chore: port to MIMIC-III using AI

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David Madl
2026-05-05 10:59:07 +02:00
parent e51cb777fd
commit 2d03ff0a42
1 changed files with 110 additions and 31 deletions
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141
paper2_festung_teil3.py
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@@ -9,12 +9,25 @@ Benutzt die Full-Pop-Prädiktionen aus dem vorherigen Lauf.
Basilakis 2026 · chicxulub.ai Basilakis 2026 · chicxulub.ai
""" """
import json, sys, math, time, random import json, os, sys, math, time, random
from collections import defaultdict from collections import defaultdict
BQ_PROJECT = "goddard-gap" # PostgreSQL connection string (libpq DSN). Override with env var.
DATA_PROJECT = "physionet-data" # e.g. "host=localhost port=5432 dbname=mimic user=postgres password=..."
NE_ITEMID = 221906 PG_DSN = os.environ.get("MIMIC_PG_DSN", "dbname=mimic3")
# Schema holding the stock MIMIC-III v1.3 tables (admissions, icustays,
# labevents, chartevents, inputevents_mv, inputevents_cv, prescriptions,
# diagnoses_icd, d_items, ...).
MIMIC_SCHEMA = os.environ.get("MIMIC_SCHEMA", "mimiciii")
# Schema holding the locally built derived tables (sapsii, sepsis3, ...);
# see sql/schemas.sql. Defaults to the same schema as MIMIC-III itself.
DERIVED_SCHEMA = os.environ.get("DERIVED_SCHEMA", MIMIC_SCHEMA)
# MIMIC-III stores Norepinephrine under different itemids in CareVue
# (inputevents_cv: 30047, 30120) and MetaVision (inputevents_mv: 221906).
NE_ITEMIDS_MV = [221906]
NE_ITEMIDS_CV = [30047, 30120]
SAPS_WINDOW = 10 SAPS_WINDOW = 10
PARAM_KEYS = ["lactate","creatinine","ph","troponin","hemoglobin", PARAM_KEYS = ["lactate","creatinine","ph","troponin","hemoglobin",
"heart_rate","map_bp","spo2","temperature","ne_dose"] "heart_rate","map_bp","spo2","temperature","ne_dose"]
@@ -52,10 +65,24 @@ GALAXY_PRIORITY = ["sepsis","cardiogenic_shock","post_cardiac_arrest","ards",
"acute_mi","aki","liver_failure","gi_bleeding","stroke","pe","dka", "acute_mi","aki","liver_failure","gi_bleeding","stroke","pe","dka",
"heart_failure","pneumonia","copd","afib","post_cardiac_surgery"] "heart_failure","pneumonia","copd","afib","post_cardiac_surgery"]
def run_bq(sql): _PG_CONN = None
from google.cloud import bigquery def _pg_conn():
client = bigquery.Client(project=BQ_PROJECT) global _PG_CONN
return [dict(r.items()) for r in client.query(sql).result()] if _PG_CONN is None or getattr(_PG_CONN, "closed", 0):
import psycopg2
_PG_CONN = psycopg2.connect(PG_DSN)
_PG_CONN.set_session(readonly=True, autocommit=True)
return _PG_CONN
def run_pg(sql):
"""Execute a read-only SQL query and return rows as list[dict]."""
import psycopg2.extras
conn = _pg_conn()
with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cur:
cur.execute(sql)
if cur.description is None:
return []
return [dict(r) for r in cur.fetchall()]
def auc_fast(preds): def auc_fast(preds):
if not preds: return 0.5 if not preds: return 0.5
@@ -99,33 +126,63 @@ def td(pv,centroid,weights):
def load_all_icu(): def load_all_icu():
print(" Loading ALL ICU patients...") print(" Loading ALL ICU patients...")
ne_mv = ",".join(str(i) for i in NE_ITEMIDS_MV)
ne_cv = ",".join(str(i) for i in NE_ITEMIDS_CV)
sql=f"""WITH icu_pts AS ( sql=f"""WITH icu_pts AS (
SELECT DISTINCT a.hadm_id,a.hospital_expire_flag AS died,s.sapsii,icu.intime, SELECT DISTINCT a.hadm_id,a.hospital_expire_flag AS died,s.sapsii,icu.intime,
s.sapsii_prob AS saps_prob s.sapsii_prob AS saps_prob
FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.admissions` a FROM {MIMIC_SCHEMA}.admissions a
JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON a.hadm_id=icu.hadm_id JOIN {MIMIC_SCHEMA}.icustays icu ON a.hadm_id=icu.hadm_id
JOIN `{DATA_PROJECT}.mimiciv_3_1_derived.sapsii` s ON icu.stay_id=s.stay_id JOIN {DERIVED_SCHEMA}.sapsii s ON icu.icustay_id=s.icustay_id
WHERE s.sapsii BETWEEN 20 AND 90), WHERE s.sapsii BETWEEN 20 AND 90),
l_lac AS (SELECT le.hadm_id,MAX(le.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.labevents` le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid=50813 AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND TIMESTAMP_ADD(ip.intime,INTERVAL 24 HOUR) GROUP BY le.hadm_id), l_lac AS (SELECT le.hadm_id,MAX(le.valuenum) AS val FROM {MIMIC_SCHEMA}.labevents le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid=50813 AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND ip.intime + INTERVAL '24 hours' GROUP BY le.hadm_id),
l_krea AS (SELECT le.hadm_id,MAX(le.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.labevents` le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid=50912 AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND TIMESTAMP_ADD(ip.intime,INTERVAL 24 HOUR) GROUP BY le.hadm_id), l_krea AS (SELECT le.hadm_id,MAX(le.valuenum) AS val FROM {MIMIC_SCHEMA}.labevents le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid=50912 AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND ip.intime + INTERVAL '24 hours' GROUP BY le.hadm_id),
l_ph AS (SELECT le.hadm_id,MIN(le.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.labevents` le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid IN (50820,50831) AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND TIMESTAMP_ADD(ip.intime,INTERVAL 24 HOUR) GROUP BY le.hadm_id), l_ph AS (SELECT le.hadm_id,MIN(le.valuenum) AS val FROM {MIMIC_SCHEMA}.labevents le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid IN (50820,50831) AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND ip.intime + INTERVAL '24 hours' GROUP BY le.hadm_id),
l_trop AS (SELECT le.hadm_id,MAX(le.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.labevents` le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid IN (51002,51003) AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND TIMESTAMP_ADD(ip.intime,INTERVAL 24 HOUR) GROUP BY le.hadm_id), l_trop AS (SELECT le.hadm_id,MAX(le.valuenum) AS val FROM {MIMIC_SCHEMA}.labevents le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid IN (51002,51003) AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND ip.intime + INTERVAL '24 hours' GROUP BY le.hadm_id),
l_hb AS (SELECT le.hadm_id,MIN(le.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.labevents` le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid=51222 AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND TIMESTAMP_ADD(ip.intime,INTERVAL 24 HOUR) GROUP BY le.hadm_id), l_hb AS (SELECT le.hadm_id,MIN(le.valuenum) AS val FROM {MIMIC_SCHEMA}.labevents le JOIN icu_pts ip ON le.hadm_id=ip.hadm_id WHERE le.itemid=51222 AND le.valuenum IS NOT NULL AND le.charttime BETWEEN ip.intime AND ip.intime + INTERVAL '24 hours' GROUP BY le.hadm_id),
c_hr AS (SELECT ce.hadm_id,MAX(ce.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_icu.chartevents` ce JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON ce.stay_id=icu.stay_id WHERE ce.itemid=220045 AND ce.valuenum BETWEEN 20 AND 250 AND ce.charttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR) GROUP BY ce.hadm_id), c_hr AS (SELECT ce.hadm_id,MAX(ce.valuenum) AS val FROM {MIMIC_SCHEMA}.chartevents ce JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id JOIN {MIMIC_SCHEMA}.icustays icu ON ce.icustay_id=icu.icustay_id WHERE ce.itemid IN (211,220045) AND ce.valuenum BETWEEN 20 AND 250 AND ce.charttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours' GROUP BY ce.hadm_id),
c_map AS (SELECT ce.hadm_id,MIN(ce.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_icu.chartevents` ce JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON ce.stay_id=icu.stay_id WHERE ce.itemid IN (220052,220181,225312) AND ce.valuenum BETWEEN 20 AND 200 AND ce.charttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR) GROUP BY ce.hadm_id), c_map AS (SELECT ce.hadm_id,MIN(ce.valuenum) AS val FROM {MIMIC_SCHEMA}.chartevents ce JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id JOIN {MIMIC_SCHEMA}.icustays icu ON ce.icustay_id=icu.icustay_id WHERE ce.itemid IN (52,456,6702,220052,220181,225312) AND ce.valuenum BETWEEN 20 AND 200 AND ce.charttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours' GROUP BY ce.hadm_id),
c_spo2 AS (SELECT ce.hadm_id,MIN(ce.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_icu.chartevents` ce JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON ce.stay_id=icu.stay_id WHERE ce.itemid=220277 AND ce.valuenum BETWEEN 50 AND 100 AND ce.charttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR) GROUP BY ce.hadm_id), c_spo2 AS (SELECT ce.hadm_id,MIN(ce.valuenum) AS val FROM {MIMIC_SCHEMA}.chartevents ce JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id JOIN {MIMIC_SCHEMA}.icustays icu ON ce.icustay_id=icu.icustay_id WHERE ce.itemid IN (646,220277) AND ce.valuenum BETWEEN 50 AND 100 AND ce.charttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours' GROUP BY ce.hadm_id),
c_temp AS (SELECT ce.hadm_id,MIN(ce.valuenum) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_icu.chartevents` ce JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON ce.stay_id=icu.stay_id WHERE ce.itemid=223762 AND ce.valuenum BETWEEN 28 AND 43 AND ce.charttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR) GROUP BY ce.hadm_id), -- Temperature: pull all four MIMIC-III itemids (676/223762 nominally
ne AS (SELECT ie.hadm_id,MAX(ie.rate) AS val FROM `{DATA_PROJECT}.mimiciv_3_1_icu.inputevents` ie JOIN icu_pts ip ON ie.hadm_id=ip.hadm_id JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON ie.stay_id=icu.stay_id WHERE ie.itemid={NE_ITEMID} AND ie.rate>0 AND ie.starttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR) GROUP BY ie.hadm_id) -- Celsius, 678/223761 nominally Fahrenheit) and decide the unit from
-- the value itself. Plausible body temperature in C is ~28..43 and
-- in F is ~82..110; the two ranges don't overlap, so a value in the
-- F band can be safely converted to C even if it was charted under a
-- "Celsius" itemid (and vice versa). Anything outside both bands is
-- treated as sensor noise and dropped.
c_temp AS (
SELECT ce.hadm_id,
MIN(CASE
WHEN ce.valuenum BETWEEN 28 AND 43 THEN ce.valuenum
WHEN ce.valuenum BETWEEN 82 AND 110 THEN (ce.valuenum - 32.0) / 1.8
END) AS val
FROM {MIMIC_SCHEMA}.chartevents ce
JOIN icu_pts ip ON ce.hadm_id=ip.hadm_id
JOIN {MIMIC_SCHEMA}.icustays icu ON ce.icustay_id=icu.icustay_id
WHERE ce.itemid IN (676, 223762, 678, 223761)
AND ce.valuenum IS NOT NULL
AND (ce.valuenum BETWEEN 28 AND 43 OR ce.valuenum BETWEEN 82 AND 110)
AND ce.charttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours'
GROUP BY ce.hadm_id),
ne_all AS (
SELECT ie.hadm_id, ie.icustay_id, ie.rate, ie.starttime AS evttime
FROM {MIMIC_SCHEMA}.inputevents_mv ie
WHERE ie.itemid IN ({ne_mv}) AND ie.rate>0
UNION ALL
SELECT ie.hadm_id, ie.icustay_id, ie.rate, ie.charttime AS evttime
FROM {MIMIC_SCHEMA}.inputevents_cv ie
WHERE ie.itemid IN ({ne_cv}) AND ie.rate>0),
ne AS (SELECT ie.hadm_id,MAX(ie.rate) AS val FROM ne_all ie JOIN icu_pts ip ON ie.hadm_id=ip.hadm_id JOIN {MIMIC_SCHEMA}.icustays icu ON ie.icustay_id=icu.icustay_id WHERE ie.evttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours' GROUP BY ie.hadm_id)
SELECT ip.hadm_id,ip.died,ip.sapsii,ip.saps_prob, SELECT ip.hadm_id,ip.died,ip.sapsii,ip.saps_prob,
ll.val AS lactate,lk.val AS creatinine,lp.val AS ph,lt.val AS troponin,lh.val AS hemoglobin, ll.val AS lactate,lk.val AS creatinine,lp.val AS ph,lt.val AS troponin,lh.val AS hemoglobin,
chr.val AS heart_rate,cma.val AS map_bp,csp.val AS spo2,cte.val AS temperature,ne.val AS ne_dose chr_.val AS heart_rate,cma.val AS map_bp,csp.val AS spo2,cte.val AS temperature,ne.val AS ne_dose
FROM icu_pts ip FROM icu_pts ip
LEFT JOIN l_lac ll ON ip.hadm_id=ll.hadm_id LEFT JOIN l_krea lk ON ip.hadm_id=lk.hadm_id LEFT JOIN l_lac ll ON ip.hadm_id=ll.hadm_id LEFT JOIN l_krea lk ON ip.hadm_id=lk.hadm_id
LEFT JOIN l_ph lp ON ip.hadm_id=lp.hadm_id LEFT JOIN l_trop lt ON ip.hadm_id=lt.hadm_id LEFT JOIN l_ph lp ON ip.hadm_id=lp.hadm_id LEFT JOIN l_trop lt ON ip.hadm_id=lt.hadm_id
LEFT JOIN l_hb lh ON ip.hadm_id=lh.hadm_id LEFT JOIN c_hr chr ON ip.hadm_id=chr.hadm_id LEFT JOIN l_hb lh ON ip.hadm_id=lh.hadm_id LEFT JOIN c_hr chr_ ON ip.hadm_id=chr_.hadm_id
LEFT JOIN c_map cma ON ip.hadm_id=cma.hadm_id LEFT JOIN c_spo2 csp ON ip.hadm_id=csp.hadm_id LEFT JOIN c_map cma ON ip.hadm_id=cma.hadm_id LEFT JOIN c_spo2 csp ON ip.hadm_id=csp.hadm_id
LEFT JOIN c_temp cte ON ip.hadm_id=cte.hadm_id LEFT JOIN ne ON ip.hadm_id=ne.hadm_id""" LEFT JOIN c_temp cte ON ip.hadm_id=cte.hadm_id LEFT JOIN ne ON ip.hadm_id=ne.hadm_id"""
rows=run_bq(sql) rows=run_pg(sql)
pts=[{k:r.get(k) for k in ["hadm_id","died","sapsii","saps_prob"]+PARAM_KEYS} pts=[{k:r.get(k) for k in ["hadm_id","died","sapsii","saps_prob"]+PARAM_KEYS}
for r in rows if sum(1 for k in PARAM_KEYS if r.get(k) is not None)>=3 and r.get("died") is not None] for r in rows if sum(1 for k in PARAM_KEYS if r.get(k) is not None)>=3 and r.get("died") is not None]
print(f" -> {len(pts)} patients"); return pts print(f" -> {len(pts)} patients"); return pts
@@ -135,10 +192,13 @@ def assign_galaxies(pts):
hids=[p["hadm_id"] for p in pts];ps=defaultdict(set) hids=[p["hadm_id"] for p in pts];ps=defaultdict(set)
for i in range(0,len(hids),10000): for i in range(0,len(hids),10000):
chunk=hids[i:i+10000] chunk=hids[i:i+10000]
for r in run_bq(f"SELECT hadm_id,icd_code,icd_version FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.diagnoses_icd` WHERE hadm_id IN ({','.join(str(h) for h in chunk)})"): # MIMIC-III v1.3 only carries ICD-9 codes (column `icd9_code`).
for r in run_pg(f"SELECT hadm_id,icd9_code FROM {MIMIC_SCHEMA}.diagnoses_icd WHERE hadm_id IN ({','.join(str(h) for h in chunk)})"):
code = r.get("icd9_code")
if code is None: continue
for sk,sd in SYNDROME_ICDS.items(): for sk,sd in SYNDROME_ICDS.items():
for rc in sd.get(f"icd_{r['icd_version']}",[]): for rc in sd.get("icd_9",[]):
if r["icd_code"].startswith(rc): ps[r["hadm_id"]].add(sk);break if code.startswith(rc): ps[r["hadm_id"]].add(sk);break
for p in pts: for p in pts:
p["galaxy"]=None p["galaxy"]=None
for g in GALAXY_PRIORITY: for g in GALAXY_PRIORITY:
@@ -147,14 +207,33 @@ def assign_galaxies(pts):
def load_therapy_hadmids(tkey): def load_therapy_hadmids(tkey):
t=THERAPIES[tkey] t=THERAPIES[tkey]
if tkey=="ne_high": if tkey=="ne_high":
return set(r["hadm_id"] for r in run_bq(f"SELECT DISTINCT ie.hadm_id FROM `{DATA_PROJECT}.mimiciv_3_1_icu.inputevents` ie JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON ie.stay_id=icu.stay_id WHERE ie.itemid={NE_ITEMID} AND ie.rate>=0.5 AND ie.starttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR)")) ne_mv = ",".join(str(i) for i in NE_ITEMIDS_MV)
ne_cv = ",".join(str(i) for i in NE_ITEMIDS_CV)
sql = f"""
SELECT DISTINCT ie.hadm_id
FROM {MIMIC_SCHEMA}.inputevents_mv ie
JOIN {MIMIC_SCHEMA}.icustays icu ON ie.icustay_id=icu.icustay_id
WHERE ie.itemid IN ({ne_mv}) AND ie.rate>=0.5
AND ie.starttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours'
UNION
SELECT DISTINCT ie.hadm_id
FROM {MIMIC_SCHEMA}.inputevents_cv ie
JOIN {MIMIC_SCHEMA}.icustays icu ON ie.icustay_id=icu.icustay_id
WHERE ie.itemid IN ({ne_cv}) AND ie.rate>=0.5
AND ie.charttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours'
"""
return set(r["hadm_id"] for r in run_pg(sql))
clauses=[] clauses=[]
# MIMIC-III splits inputevents across MetaVision (starttime) and CareVue
# (charttime); we have to query both and UNION the hadm_ids.
for d in t.get("drugs_input",[]): for d in t.get("drugs_input",[]):
clauses.append(f"SELECT DISTINCT ie.hadm_id FROM `{DATA_PROJECT}.mimiciv_3_1_icu.inputevents` ie JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.d_items` di ON ie.itemid=di.itemid JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON ie.stay_id=icu.stay_id WHERE di.label LIKE '%{d}%' AND ie.starttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR)") clauses.append(f"SELECT DISTINCT ie.hadm_id FROM {MIMIC_SCHEMA}.inputevents_mv ie JOIN {MIMIC_SCHEMA}.d_items di ON ie.itemid=di.itemid JOIN {MIMIC_SCHEMA}.icustays icu ON ie.icustay_id=icu.icustay_id WHERE di.label ILIKE '%{d}%' AND ie.starttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours'")
clauses.append(f"SELECT DISTINCT ie.hadm_id FROM {MIMIC_SCHEMA}.inputevents_cv ie JOIN {MIMIC_SCHEMA}.d_items di ON ie.itemid=di.itemid JOIN {MIMIC_SCHEMA}.icustays icu ON ie.icustay_id=icu.icustay_id WHERE di.label ILIKE '%{d}%' AND ie.charttime BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours'")
# MIMIC-III prescriptions uses DATE-precision `startdate` (not `starttime`).
for d in t.get("drugs_rx",[]): for d in t.get("drugs_rx",[]):
clauses.append(f"SELECT DISTINCT p.hadm_id FROM `{DATA_PROJECT}.mimiciv_3_1_hosp.prescriptions` p JOIN `{DATA_PROJECT}.mimiciv_3_1_icu.icustays` icu ON p.hadm_id=icu.hadm_id WHERE p.drug LIKE '%{d}%' AND p.starttime BETWEEN icu.intime AND TIMESTAMP_ADD(icu.intime,INTERVAL 24 HOUR)") clauses.append(f"SELECT DISTINCT p.hadm_id FROM {MIMIC_SCHEMA}.prescriptions p JOIN {MIMIC_SCHEMA}.icustays icu ON p.hadm_id=icu.hadm_id WHERE p.drug ILIKE '%{d}%' AND p.startdate BETWEEN icu.intime AND icu.intime + INTERVAL '24 hours'")
if not clauses: return set() if not clauses: return set()
return set(r["hadm_id"] for r in run_bq(" UNION DISTINCT ".join(clauses))) return set(r["hadm_id"] for r in run_pg(" UNION ".join(clauses)))
def run_loo(test_pts,ref_pts,therapy_hids,by_gal,label): def run_loo(test_pts,ref_pts,therapy_hids,by_gal,label):
"""Returns list of {a, p, g, hadm_id} — includes hadm_id for fair comparison.""" """Returns list of {a, p, g, hadm_id} — includes hadm_id for fair comparison."""