README.md

---
dataset_info:
- config_name: cohort_full
  features:
  - name: subject_id
    dtype: int64
  - name: ed_stay_id
    dtype: int64
  - name: hadm_id
    dtype: int64
  - name: ed_intime
    dtype: timestamp[us]
  - name: ed_outtime
    dtype: timestamp[us]
  - name: disposition
    dtype: large_string
  - name: race
    dtype: large_string
  - name: arrival_transport
    dtype: large_string
  - name: first_careunit
    dtype: large_string
  - name: first_icu_intime
    dtype: timestamp[us]
  - name: cohort_label
    dtype: large_string
  - name: gender
    dtype: large_string
  - name: anchor_age
    dtype: int64
  - name: anchor_year
    dtype: int64
  - name: admittime
    dtype: timestamp[us]
  - name: dischtime
    dtype: timestamp[us]
  - name: admission_type
    dtype: large_string
  - name: discharge_location
    dtype: large_string
  - name: insurance
    dtype: large_string
  - name: language
    dtype: large_string
  - name: marital_status
    dtype: large_string
  - name: ed_stay_id_2
    dtype: float64
  - name: stay_window_start
    dtype: timestamp[us]
  - name: stay_window_end
    dtype: timestamp[us]
  - name: ed_boarding_time_min
    dtype: float64
  - name: time_steps
    dtype: int64
  splits:
  - name: cohort_base
    num_bytes: 108446901
    num_examples: 397670
  download_size: 25727336
  dataset_size: 108446901
- config_name: dispensed_meds
  features:
  - name: ed_stay_id
    dtype: int64
  - name: subject_id
    dtype: int64
  - name: hadm_id
    dtype: int64
  - name: charttime
    dtype: timestamp[us]
  - name: medication
    dtype: large_string
  - name: event_txt
    dtype: large_string
  - name: in_er
    dtype: bool
  - name: drug_class
    dtype: large_string
  - name: action_idx
    dtype: int64
  - name: minutes_into_stay
    dtype: float64
  - name: time_step
    dtype: int64
  splits:
  - name: er_and_ward
    num_bytes: 311238084
    num_examples: 2675531
  download_size: 33872234
  dataset_size: 311238084
- config_name: ecg_results
  features:
  - name: ed_stay_id
    dtype: int64
  - name: subject_id
    dtype: int64
  - name: hadm_id
    dtype: int64
  - name: ecg_time
    dtype: timestamp[us]
  - name: ecg_acuity
    dtype: int64
  splits:
  - name: full_ecg
    num_bytes: 6226839
    num_examples: 155186
  download_size: 4053167
  dataset_size: 6226839
- config_name: empty_patient_state
  features:
  - name: ed_stay_id
    dtype: int64
  - name: subject_id
    dtype: int64
  - name: hadm_id
    dtype: float64
  - name: time_steps
    dtype: int64
  splits:
  - name: empty_patient_state
    num_bytes: 1454310797
    num_examples: 45270375
  download_size: 10265748
  dataset_size: 1454310797
- config_name: height
  features:
  - name: subject_id
    dtype: int64
  - name: chartdate
    dtype: date32
  - name: result_name
    dtype: large_string
  - name: result_value
    dtype: float64
  splits:
  - name: height_full
    num_bytes: 22419409
    num_examples: 656979
  download_size: 3891379
  dataset_size: 22419409
- config_name: lab_results
  features:
  - name: ed_stay_id
    dtype: int64
  - name: category
    dtype: large_string
  - name: fluid
    dtype: large_string
  - name: order_time
    dtype: timestamp[us]
  - name: subject_id
    dtype: int64
  - name: hadm_id
    dtype: int64
  - name: result_time
    dtype: timestamp[us]
  - name: ordered_location
    dtype: large_string
  - name: abnormal
    dtype: bool
  - name: action
    dtype: large_string
  splits:
  - name: labs_full
    num_bytes: 269113124
    num_examples: 2542661
  download_size: 43257327
  dataset_size: 269113124
- config_name: medrecon
  features:
  - name: ed_stay_id
    dtype: int64
  - name: subject_id
    dtype: int64
  - name: recon_ace_inhibitor
    dtype: uint8
  - name: recon_analgesic___nsaid
    dtype: uint8
  - name: recon_analgesic___opioid_nsaid
    dtype: uint8
  - name: recon_antiarrhythmic
    dtype: uint8
  - name: recon_antibiotic
    dtype: uint8
  - name: recon_anticoagulant
    dtype: uint8
  - name: recon_anticonvulsant
    dtype: uint8
  - name: recon_antiemetic
    dtype: uint8
  - name: recon_antiplatelet
    dtype: uint8
  - name: recon_antipsychotic
    dtype: uint8
  - name: recon_benzodiazepine___sedative_anxiolytic
    dtype: uint8
  - name: recon_beta_blocker
    dtype: uint8
  - name: recon_bronchodilator
    dtype: uint8
  - name: recon_calcium_channel_blocker
    dtype: uint8
  - name: recon_corticosteroid
    dtype: uint8
  - name: recon_diuretic
    dtype: uint8
  - name: recon_gi___acid_suppression
    dtype: uint8
  - name: recon_insulin_glucose
    dtype: uint8
  - name: recon_nitrate
    dtype: uint8
  - name: recon_n_total_meds
    dtype: int64
  - name: recon_n_drug_classes
    dtype: int64
  splits:
  - name: medrecon_full
    num_bytes: 15100539
    num_examples: 296089
  download_size: 4092329
  dataset_size: 15100539
- config_name: microbiology
  features:
  - name: subject_id
    dtype: int64
  - name: ed_stay_id
    dtype: int64
  - name: hadm_id
    dtype: int64
  - name: charttime
    dtype: timestamp[us]
  - name: storetime
    dtype: timestamp[us]
  - name: action_space
    dtype: large_string
  - name: culture_result
    dtype: large_string
  splits:
  - name: microbiology_full
    num_bytes: 13591066
    num_examples: 185552
  download_size: 5278498
  dataset_size: 13591066
- config_name: rad_results
  features:
  - name: ed_stay_id
    dtype: int64
  - name: subject_id
    dtype: int64
  - name: hadm_id
    dtype: int64
  - name: exam_time
    dtype: timestamp[us]
  - name: rad_acuity_level
    dtype: int64
  splits:
  - name: rad_full
    num_bytes: 10801289
    num_examples: 269191
  download_size: 6246623
  dataset_size: 10801289
- config_name: triage_vitals
  features:
  - name: charttime
    dtype: timestamp[us]
  - name: ed_stay_id
    dtype: int64
  - name: subject_id
    dtype: int64
  - name: current_temperature
    dtype: float64
  - name: current_heartrate
    dtype: float64
  - name: current_resprate
    dtype: float64
  - name: current_o2sat
    dtype: float64
  - name: current_sbp
    dtype: float64
  - name: current_dbp
    dtype: float64
  - name: current_pain
    dtype: float64
  - name: acuity
    dtype: float64
  - name: chiefcomplaint
    dtype: large_string
  - name: source
    dtype: large_string
  - name: time_since_last_min
    dtype: float64
  - name: pain_missing
    dtype: int64
  - name: heartrate_missing
    dtype: int64
  - name: o2sat_missing
    dtype: int64
  - name: acuity_missing
    dtype: int64
  - name: chiefcomplaint_missing
    dtype: int64
  - name: resprate_missing
    dtype: int64
  - name: sbp_missing
    dtype: int64
  - name: dbp_missing
    dtype: int64
  - name: temperature_missing
    dtype: int64
  - name: temperature_delta
    dtype: float64
  - name: heartrate_delta
    dtype: float64
  - name: resprate_delta
    dtype: float64
  - name: o2sat_delta
    dtype: float64
  - name: sbp_delta
    dtype: float64
  - name: dbp_delta
    dtype: float64
  - name: pain_delta
    dtype: float64
  - name: temperature_rate_per_min
    dtype: float64
  - name: heartrate_rate_per_min
    dtype: float64
  - name: resprate_rate_per_min
    dtype: float64
  - name: o2sat_rate_per_min
    dtype: float64
  - name: sbp_rate_per_min
    dtype: float64
  - name: dbp_rate_per_min
    dtype: float64
  - name: current_mean_arterial_pressure
    dtype: float64
  - name: temperature_rolling1h
    dtype: float64
  - name: heartrate_rolling1h
    dtype: float64
  - name: resprate_rolling1h
    dtype: float64
  - name: o2sat_rolling1h
    dtype: float64
  - name: sbp_rolling1h
    dtype: float64
  - name: dbp_rolling1h
    dtype: float64
  splits:
  - name: triage_vitals_full
    num_bytes: 661714092
    num_examples: 1811202
  download_size: 88016187
  dataset_size: 661714092
- config_name: weight
  features:
  - name: subject_id
    dtype: int64
  - name: chartdate
    dtype: date32
  - name: result_name
    dtype: large_string
  - name: result_value
    dtype: float64
  splits:
  - name: weight_full
    num_bytes: 56211758
    num_examples: 1647231
  download_size: 9166863
  dataset_size: 56211758
configs:
- config_name: cohort_full
  data_files:
  - split: cohort_base
    path: cohort/cohort_base-*
- config_name: dispensed_meds
  data_files:
  - split: er_and_ward
    path: dispensed_meds/er_and_ward-*
- config_name: ecg_results
  data_files:
  - split: full_ecg
    path: ecg/full_ecg-*
- config_name: empty_patient_state
  data_files:
  - split: empty_patient_state
    path: patient_state/empty_patient_state-*
- config_name: height
  data_files:
  - split: height_full
    path: height_data/height_full-*
- config_name: lab_results
  data_files:
  - split: labs_full
    path: labs/labs_full-*
- config_name: medrecon
  data_files:
  - split: medrecon_full
    path: medrecon_data/medrecon_full-*
- config_name: microbiology
  data_files:
  - split: microbiology_full
    path: microbiology_data/microbiology_full-*
- config_name: rad_results
  data_files:
  - split: rad_full
    path: rad_data/rad_full-*
- config_name: triage_vitals
  data_files:
  - split: triage_vitals_full
    path: triage_vitals_data/triage_vitals_full-*
- config_name: weight
  data_files:
  - split: weight_full
    path: weight_data/weight_full-*
---

# Cohort Data

Processed ED patient cohort derived from MIMIC-IV. One row per ED visit (`ed_stay_id`). Built from cohort_base (BigQuery) with the following post-processing steps: 

- AGAINST ADVICE discharge_location records removed — patient-driven departures are out of scope. 
- Consecutive ED visits sharing a hadm_id collapsed into single rows; second ed_stay_id stored in `ed_stay_id_2`. 
- `stay_window_start`/`stay_window_end` columns added covering ED arrival to final discharge. 
- `ed_boarding_time_min` added: minutes in ED after admission decision (null for ED-only patients).

Intended as the primary cohort table for feature engineering and RL state construction.  

# Dispensed Meds

Dispensed medication records for all cohort patients across two phases and two populations. 

ED phase (`in_er`=True): Pyxis dispenses for all patients (admitted and ED-only) while physically in the ED, derived from `ed.pyxis`.  
Ward phase (`in_er`=False): eMAR administration records for admitted patients from ED departure up to ICU transfer, derived from `hosp.emar`. 

`event_txt` filtered to administration and rate-change events only. 

Medication names mapped to a 22-class drug vocabulary via regex. Each record includes `minutes_into_stay` (time since ED arrival) and time_step bucket (floor(minutes / time_block)).

# ECG Data

ECG acuity labels derived from `mimiciv_ecg.machine_measurements` for cohort patients. Each of the 18 report columns is classified independently 
via regex with priority order: abnormal (2) > neutral (1) > normal (0) > empty (-1). 

Row-level max across all 18 columns gives `ecg_acuity`: 0=normal, 1=neutral/unknown, 2=abnormal. 

Patients with all 18 columns empty are assigned 1 (missing ECG ≠ normal ECG). 

Multiple ECGs per ED stay resolved to one row: highest acuity kept, ties broken by earliest ecg_time. 

Window covers ED arrival through hospital ward stay (capped at ICU transfer if applicable), with ±1 hour buffer for ECG machine clock drift.

# Labs Data

Laboratory results from `hosp.labevents` for cohort patients during their stay window. 

Grouped by category x fluid (19 unique combinations) rather than individual test label to reduce action space. 

Each result includes the abnormal flag for worst-case aggregation. Intended as the primary lab state feature source.  

# Medrecon Data

Medication reconciliation records from `ed.medrecon` — medications the patient was taking prior to ED arrival. 
One row per medication per ED visit. Represents pre-arrival medication state, not actions taken during the visit.  

# Microbiology Data


Microbiology culture events from `hosp.microbiologyevents` for cohort patients during their stay window. 
Includes culture order time, specimen type, organism name, and antibiotic sensitivity results. 

`culture_ordered` is the real-time state signal; culture_positive is a retrospective label only (~2% of results available before ED discharge).

# OMR Data

Height and weight measurement records from `hosp.omr` for cohort patients — separated to take single measurements of height as an average of all available height measurements for a patient and retaining all separate weight measurements. 
Duplicates were dropped. Used to supplement ED and inpatient state features with recent baseline measurements.  

# Radiology Data

Radiology report text from `mimiciv_note.radiology` for cohort patients. Covers all imaging modalities (CXR, CT, MRI, ultrasound, etc.). 
Primary reports only (note_type=RR). Window covers ED arrival through hospital ward stay (capped at ICU transfer if applicable).  
`hadm_id` is NULL for ED-only patients and populated for admitted patients. `exam_name` and `cpt_code` included from radiology_detail to identify 
imaging modality.  

# Triage_Vitals

Combined triage and vital signs time series — one row per (`ed_stay_id`, `charttime`) timestep. 
Triage records (ed.triage) provide the baseline reading at `ed_intime`; subsequent vitals (`ed.vitalsign`) provide follow-up readings. 
`stay_id` remapping applied so that vitals from a patient's second consecutive ED visit are attributed to the canonical (first) stay_id. 
Rows recorded before `ed_intime` are dropped; records from vitals with `charttime` == `ed_intime` are dropped as duplicates of the triage records. 

**Preprocessing**: `pain` column normalized and coerced to numeric, physiologically implausible vital values nulled. Missing indicators created before forward-fill. 
Vitals forward-filled within stay, then mean-imputed for any remaining NaN. 

**Feature engineering**: `time_since_last_min`, per-column deltas and rates of change (units/min), 1-hour rolling averages, mean arterial pressure (dbp + (sbp - dbp) / 3). 
Triage rows get 0 for all delta/rate columns. Final vital columns renamed to current_{col}.