| # Hospital Deterioration Dataset — Data Dictionary | |
| This dataset represents a **high-fidelity simulated hospital cohort** designed for | |
| early-warning and deterioration modeling. | |
| The records are generated via a rules-based and probabilistic simulation calibrated | |
| to typical hospital patterns. They **do not correspond to real patients** and contain | |
| no identifiable information. | |
| - Time is expressed as **hours from admission**. | |
| - Each patient stay is capped at **72 hours**. | |
| - All identifiers (`patient_id`) are artificial and non-identifiable. | |
| - All features are fully observed (no missing values). | |
| --- | |
| ## 1. `patients.csv` — Patient-level static data | |
| **Granularity:** one row per patient (10,000 patients). | |
| | column_name | type | description | allowed_values / range | missing_values | | |
| |-------------------------------------------|-----------|----------------------------------------------------------------------------------------------|----------------------------------------------------------|----------------| | |
| | `patient_id` | int | Unique patient identifier | 1–10,000 | None | | |
| | `age` | int | Age at admission (years) | 18–90 | None | | |
| | `gender` | category | Biological sex | `"M"`, `"F"` | None | | |
| | `comorbidity_index` | int | Aggregate comorbidity burden (higher = more chronic disease) | 0–8 | None | | |
| | `admission_type` | category | Admission route to the hospital | `"ED"`, `"Elective"`, `"Transfer"` | None | | |
| | `baseline_risk_score` | float | Latent **baseline deterioration risk** at admission on a 0–1 scale (simulation parameter, not a clinical score) | ~0.03–0.98 | None | | |
| | `los_hours` | int | Length of stay in hours (capped at 72 hours) | 12–72 | None | | |
| | `deterioration_event` | int (0/1) | Indicator for any clinical deterioration event during the stay | 0 = no event, 1 = at least one event | None | | |
| | `deterioration_within_12h_from_admission` | int (0/1) | Deterioration event occurs within the first 12 hours from admission | 0, 1 | None | | |
| | `deterioration_hour` | int | Hour-from-admission of the **first** deterioration event; `-1` means no event during the stay | -1 (no event) or 0–(los_hours - 1) (up to 71 in this dataset) | None | | |
| --- | |
| ## 2. `vitals_timeseries.csv` — Hourly vital signs | |
| **Granularity:** one row per `(patient_id, hour_from_admission)` for vital signs. | |
| | column_name | type | description | allowed_values / range | missing_values | | |
| |-----------------------|-----------|-----------------------------------------------------------------------------|----------------------------------------------------------|----------------| | |
| | `patient_id` | int | Patient identifier (matches `patients.csv`) | 1–10,000 | None | | |
| | `hour_from_admission` | int | Hour index from admission (0 = admission hour) | 0–(los_hours - 1), up to 71 in this dataset | None | | |
| | `heart_rate` | float | Heart rate at that hour (beats per minute) | ~40–180 | None | | |
| | `respiratory_rate` | float | Respiratory rate at that hour (breaths per minute) | ~8–45 | None | | |
| | `spo2_pct` | float | Peripheral oxygen saturation percentage | ~70–100 | None | | |
| | `temperature_c` | float | Body temperature in degrees Celsius | ~35.2–40.5 | None | | |
| | `systolic_bp` | float | Systolic blood pressure (mmHg) | ~70–185 | None | | |
| | `diastolic_bp` | float | Diastolic blood pressure (mmHg) | ~40–110 | None | | |
| | `oxygen_device` | category | Type of oxygen delivery device | `"none"`, `"nasal"`, `"mask"`, `"hfnc"`, `"niv"` | None | | |
| | `oxygen_flow` | float | Oxygen flow rate (liters per minute). Exactly `0.0` whenever `oxygen_device == "none"`, and strictly positive only when an oxygen device is in use. | 0–~60 (only >0 for `"nasal"`, `"mask"`, `"hfnc"`, `"niv"`) | None | | |
| | `mobility_score` | int | Ordinal mobility score (higher = more independent) | 0–4 (ordinal scale) | None | | |
| | `nurse_alert` | int (0/1) | Whether a nurse alert was triggered in that hour | 0, 1 | None | | |
| --- | |
| ## 3. `labs_timeseries.csv` — Hourly lab results | |
| **Granularity:** one row per `(patient_id, hour_from_admission)` for lab values. | |
| | column_name | type | description | allowed_values / range | missing_values | | |
| |-----------------------|-----------|-----------------------------------------------------------------------------|----------------------------------------------|----------------| | |
| | `patient_id` | int | Patient identifier (matches `patients.csv`) | 1–10,000 | None | | |
| | `hour_from_admission` | int | Hour index from admission (aligned with vital signs) | 0–(los_hours - 1), up to 71 in this dataset | None | | |
| | `wbc_count` | float | White blood cell count (arbitrary clinical units, simulation-based) | ~2–30 | None | | |
| | `lactate` | float | Serum lactate level (approx. mmol/L) | ~0.5–8.0 | None | | |
| | `creatinine` | float | Serum creatinine (approx. mg/dL) | ~0.4–4.5 | None | | |
| | `crp_level` | float | C-reactive protein level (approx. mg/L) | ~0–250 | None | | |
| | `hemoglobin` | float | Hemoglobin concentration (approx. g/dL) | ~7–17 | None | | |
| | `sepsis_risk_score` | float | Latent **sepsis risk** score at that hour on a 0–1 scale (simulation parameter) | ~0.02–1.00 | None | | |
| --- | |
| ## 4. `hospital_deterioration_hourly_panel.csv` — Full joined hourly panel | |
| **Granularity:** one row per `(patient_id, hour_from_admission)` combining: | |
| - Hourly vital signs | |
| - Hourly lab values | |
| - Static patient features | |
| - All deterioration labels | |
| This file is convenient for EDA and modeling where you want everything in one table. | |
| | column_name | type | description | allowed_values / range | missing_values | | |
| |-------------------------------------------|-----------|-----------------------------------------------------------------------------------------------------------|----------------------------------------------------------|----------------| | |
| | `patient_id` | int | Patient identifier | 1–10,000 | None | | |
| | `hour_from_admission` | int | Hour index from admission | 0–(los_hours - 1), up to 71 in this dataset | None | | |
| | `heart_rate` | float | Heart rate (beats per minute) at this hour | ~40–180 | None | | |
| | `respiratory_rate` | float | Respiratory rate (breaths per minute) | ~8–45 | None | | |
| | `spo2_pct` | float | Peripheral oxygen saturation (%) | ~70–100 | None | | |
| | `temperature_c` | float | Body temperature in °C | ~35.2–40.5 | None | | |
| | `systolic_bp` | float | Systolic blood pressure (mmHg) | ~70–185 | None | | |
| | `diastolic_bp` | float | Diastolic blood pressure (mmHg) | ~40–110 | None | | |
| | `oxygen_device` | category | Oxygen delivery device | `"none"`, `"nasal"`, `"mask"`, `"hfnc"`, `"niv"` | None | | |
| | `oxygen_flow` | float | Oxygen flow rate (L/min). Exactly `0.0` whenever `oxygen_device == "none"`, and strictly positive only when an oxygen device is in use. | 0–~60 (only >0 for `"nasal"`, `"mask"`, `"hfnc"`, `"niv"`) | None | | |
| | `mobility_score` | int | Ordinal mobility score | 0–4 | None | | |
| | `nurse_alert` | int (0/1) | Nurse alert triggered during this hour | 0, 1 | None | | |
| | `wbc_count` | float | White blood cell count | ~2–30 | None | | |
| | `lactate` | float | Serum lactate | ~0.5–8.0 | None | | |
| | `creatinine` | float | Serum creatinine | ~0.4–4.5 | None | | |
| | `crp_level` | float | C-reactive protein | ~0–250 | None | | |
| | `hemoglobin` | float | Hemoglobin | ~7–17 | None | | |
| | `sepsis_risk_score` | float | Latent sepsis risk score (0–1) | ~0.02–1.00 | None | | |
| | `age` | int | Age at admission | 18–90 | None | | |
| | `gender` | category | Biological sex | `"M"`, `"F"` | None | | |
| | `comorbidity_index` | int | Aggregate comorbidity burden | 0–8 | None | | |
| | `admission_type` | category | Admission route | `"ED"`, `"Elective"`, `"Transfer"` | None | | |
| | `baseline_risk_score` | float | Latent baseline deterioration risk at admission on a 0–1 scale (simulation parameter) | ~0.03–0.98 | None | | |
| | `los_hours` | int | Length of stay in hours | 12–72 | None | | |
| | `deterioration_event` | int (0/1) | Any deterioration event during the stay | 0, 1 | None | | |
| | `deterioration_within_12h_from_admission` | int (0/1) | Deterioration occurs within the first 12 hours | 0, 1 | None | | |
| | `deterioration_hour` | int | Hour of first deterioration event; `-1` = no event | -1 (no event) or 0–(los_hours - 1) | None | | |
| | `deterioration_next_12h` | int (0/1) | Label: deterioration occurs **after this hour** and **within the next 12 hours** (see definition below) | 0, 1 | None | | |
| **Definition of `deterioration_next_12h`:** | |
| For a given row with `(patient_id, hour_from_admission = t)` and corresponding `deterioration_hour = h`: | |
| - `deterioration_next_12h = 1` if `t < h ≤ t + 12` | |
| - `deterioration_next_12h = 0` otherwise (including no event in the stay). | |
| --- | |
| ## 5. `hospital_deterioration_ml_ready.csv` — ML-ready classification panel | |
| **Granularity:** one row per hourly observation (per patient and `hour_from_admission`). | |
| **Intended use:** feed directly into ML models for **next-12h deterioration prediction**. | |
| This file keeps only **features + target**, and omits identifiers and auxiliary targets to reduce leakage risk. | |
| | column_name | type | description | allowed_values / range | missing_values | | |
| |---------------------------|-----------|-----------------------------------------------------------------------------|----------------------------------------------------------|----------------| | |
| | `hour_from_admission` | int | Hour index from admission | 0–71 (per-stay capped length in this dataset) | None | | |
| | `heart_rate` | float | Heart rate (beats per minute) | ~40–180 | None | | |
| | `respiratory_rate` | float | Respiratory rate (breaths per minute) | ~8–45 | None | | |
| | `spo2_pct` | float | Peripheral oxygen saturation (%) | ~70–100 | None | | |
| | `temperature_c` | float | Body temperature (°C) | ~35.2–40.5 | None | | |
| | `systolic_bp` | float | Systolic blood pressure (mmHg) | ~70–185 | None | | |
| | `diastolic_bp` | float | Diastolic blood pressure (mmHg) | ~40–110 | None | | |
| | `oxygen_device` | category | Oxygen delivery device | `"none"`, `"nasal"`, `"mask"`, `"hfnc"`, `"niv"` | None | | |
| | `oxygen_flow` | float | Oxygen flow rate (L/min). Exactly `0.0` whenever `oxygen_device == "none"`, and strictly positive only when an oxygen device is in use. | 0–~60 (only >0 for `"nasal"`, `"mask"`, `"hfnc"`, `"niv"`) | None | | |
| | `mobility_score` | int | Ordinal mobility score | 0–4 | None | | |
| | `nurse_alert` | int (0/1) | Nurse alert active in this hour | 0, 1 | None | | |
| | `wbc_count` | float | White blood cell count | ~2–30 | None | | |
| | `lactate` | float | Serum lactate | ~0.5–8.0 | None | | |
| | `creatinine` | float | Serum creatinine | ~0.4–4.5 | None | | |
| | `crp_level` | float | C-reactive protein | ~0–250 | None | | |
| | `hemoglobin` | float | Hemoglobin | ~7–17 | None | | |
| | `sepsis_risk_score` | float | Latent sepsis risk score (0–1) | ~0.02–1.00 | None | | |
| | `age` | int | Age at admission | 18–90 | None | | |
| | `gender` | category | Biological sex | `"M"`, `"F"` | None | | |
| | `comorbidity_index` | int | Aggregate comorbidity burden | 0–8 | None | | |
| | `admission_type` | category | Admission route | `"ED"`, `"Elective"`, `"Transfer"` | None | | |
| | `deterioration_next_12h` | int (0/1) | Target label: deterioration occurs **after this hour** and **within the next 12 hours** | 0, 1 | None | | |
| The definition of `deterioration_next_12h` is identical to the one in `hospital_deterioration_hourly_panel.csv`. | |