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SkillsMP a collecté 14 skills depuis 28sungmin/MEGIQ. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 14 skills collectés sur 14.
Detect demographic bias in LYDUS data quality metrics by computing all 16 QUIQ quality metrics (completeness, range/date/format/sequence validity, preciseness, fidelity, class/instance diversity, sentence/vocabulary diversity, logical accuracy,…
Langue du texte source : anglais
Calculate cross-sectional consistency for categorical string variables in a QUIQ-format table using a local exo LLM to group semantically equivalent values. Runs on an on-prem local exo LLM (closed-network safe; no external API key). Use for data quality…
Langue du texte source : Plusieurs langues
Validate date values in a QUIQ-format table. Checks Event_date column and Mapping_info_1='date' rows using standard format parsing, Korean date formats, and optional LLM fallback. Use for data quality assessment of temporal data.
Langue du texte source : Plusieurs langues
Validate format of medical codes (ICD-9/10/11, SNOMED-CT, RxNorm, LOINC, ATC) in a QUIQ-format table. Identifies code type from variable name/description, then validates each value against the corresponding regex. Use for data quality assessment of medical…
Langue du texte source : Plusieurs langues
Detect logical outliers in clinical variables using a multi-model ensemble (Quantile Regression + Gradient Boosting + Autoencoder for numeric; OneClassSVM + IsolationForest + Autoencoder for categorical). Uses an on-prem local exo LLM (OpenAI-compatible;…
Langue du texte source : anglais
Evaluate accuracy of unstructured clinical notes and radiology reports in a QUIQ-format table using a local exo LLM. Detects diagnostic, procedural, drug, demographic, and date errors in clinical notes; identifies critical errors in radiology impressions.…
Langue du texte source : anglais
Evaluate completeness (fidelity) of unstructured clinical notes and radiology reports in a QUIQ-format table. Uses a local exo LLM to check whether required template items are mentioned in each note. Runs on an on-prem local exo LLM (closed-network safe; no…
Langue du texte source : anglais
Convert MIMIC-IV clinical data into QUIQ (Quality Intelligence Unified Query) long-format table. Use when transforming MIMIC-IV tables to QUIQ format for data quality assessment, when applying QUIQ Mapping_info rules to MIMIC-IV variables, or when building a…
Langue du texte source : anglais
Validate temporal ordering of date variables in a QUIQ-format table. Uses a local exo LLM to automatically identify start/end date variable pairs, then checks whether start_date <= end_date for each matched record. Runs on an on-prem local exo LLM…
Langue du texte source : Plusieurs langues
Generate VIA (Variable Information Archive) table from a user-provided documentation file (PDF or text). Requires a data dictionary or schema documentation to produce meaningful variable descriptions. If no document is provided, the skill will ask for one…
Langue du texte source : Plusieurs langues
Stage 2 study plan을 OHDSI ATLAS식 '구조화 코호트 정의'(entry event · inclusion rules · exit strategy · time-at-risk)로 변환한다. LATCH Planner Stage 3. 데이터 표준화(OMOP 표준 어휘 매핑)는 하지 않고 ATLAS의 구조만 반영한다. 이 SKILL.md 본문이 곧 LLM 시스템 프롬프트로 런타임 로드된다. 검증은 tools/cohort(C1~C8)가 담당.
Langue du texte source : anglais
Stage 1의 6칸 명세를 파싱된 study plan JSON으로 변환한다. LATCH Planner Stage 2. 파생변수 재귀분해 + 조건 분리 + 영어 keyword 번역(clinical-translate 포함). 이 SKILL.md 본문이 곧 LLM 시스템 프롬프트로 런타임 로드된다.
Langue du texte source : anglais
연구자의 자유 텍스트 가설을 LATCH 6칸 구조화 명세로 재배치한다. LATCH Planner Stage 1. 이 SKILL.md 본문이 곧 LLM 시스템 프롬프트로 런타임 로드된다 ({datasets}, {analysis_catalog}는 설정/스키마에서 주입). 검증은 tools(R1~R7, DS)가 담당.
Langue du texte source : Plusieurs langues
한글 임상 용어를 표준 영어 임상 용어로 번역해 keyword를 DB 매칭 가능하게 만든다. LATCH Planner Stage 2의 한 부분. 원문은 label/original에 보존(규칙2 글자), keyword는 영어로 번역(규칙2 정신). 임의 의역·동의어 치환 금지, 표준 용어만.
Langue du texte source : coréen