| --- |
| 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}. |
| |
