Calculate APACHE IV (Acute Physiology and Chronic Health Evaluation IV) score for ICU mortality prediction. Use for severity assessment, hospital mortality prediction, ICU benchmarking, or case-mix adjustment. eICU has pre-computed scores; MIMIC-IV requires custom implementation with diagnosis mapping challenges.
Start a structured clinical research session. Use when users describe research goals, want to analyze cohorts, investigate hypotheses, or need a rigorous research plan. Interviews the user, then produces a research protocol.
Use the M4 Python API to query clinical datasets programmatically. Use when writing code to access clinical databases, executing SQL via Python, or performing multi-step data analysis.
Diagnose and repair common M4 environment, dataset, skill installation, backend, and vitrine setup problems. Use when M4 tools, datasets, skills, or visualization are missing or broken.
Calculate Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index for hospital admissions. Use for risk adjustment, mortality prediction, case-mix analysis, or comparing comorbidity burden across patient populations.
Identify first ICU stays and first hospital admissions for cohort selection. Use to exclude readmissions, create independent observations, or build adult patient cohorts.
Guide users through creating M4 skills with proper structure, provenance tracking, and tier assignment. Use when users want to create a new M4 skill, document a clinical concept, or contribute a skill to the M4 skills library.
Use the vitrine display API for M4 research visualization, review cards, forms, study tracking, approvals, exports, and recovery of displayed results.