oasis-score
Calculate OASIS (Oxford Acute Severity of Illness Score) for ICU patients in MIMIC-IV. Use for mortality prediction with fewer variables than APACHE/SAPS, or when lab data is limited.
npx skills add majiayu000/claude-skill-registry --skill oasis-score-hannesill-m4 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OASIS Score Calculation The Oxford Acute Severity of Illness Score (OASIS) is a parsimonious severity score that achieves comparable predictive accuracy to APACHE using fewer variables. It does not require laboratory values, making it useful when lab data is missing. ## When to Use This Skill - Mortality prediction when lab data is incomplete - Quick severity assessment with minimal variables - Real-time severity scoring (no lab turnaround time) - Research requiring a validated, simple severity metric - Comparison with APACHE/SAPS scores ## Score Components (First 24 Hours) | Variable | Range | Points | |----------|-------|--------| | Age | <24 to >=90 | 0-9 | | Pre-ICU LOS | <10 min to >=18708 min | 0-5 | | GCS | <=7 to >=15 | 0-10 | | Heart Rate | <33 to >125 | 0-6 | | Mean BP | <20.65 to >143.44 | 0-4 | | Respiratory Rate | <6 to >44 | 0-10 | | Temperature | <33.22 to >39.88 C | 0-6 | | Urine Output | <671 to >6897 mL/day | 0-10 | | Mechanical Ventilation | Yes/No | 0 or 9 | | Elective Surgery | Yes/No | 0 or 6 | **Total Range**: 0-67 (theoretical maximum) ## Pre-computed Table ```sql SELECT subject_id, hadm_id, stay_id, oasis, oasis_prob, -- Predicted in-hospital mortality ag
- When to Use This Skill
- Score Components (First 24 Hours)
- Pre-computed Table
- Critical Implementation Notes
- Advantages Over APACHE/SAPS
- Example: Quick Severity Assessment
- Example: Compare OASIS vs SAPS-II Predictions
- References
What does the oasis-score skill do?
Calculate OASIS (Oxford Acute Severity of Illness Score) for ICU patients in MIMIC-IV. Use for mortality prediction with fewer variables than APACHE/SAPS, or when lab data is limited.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill oasis-score-hannesill-m4 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.