{"adoption": {"forks": 342, "observed_at": "2026-08-28T04:04:41.582316+00:00", "stars": 1426}, "canonical_url": "https://ross.abutalabs.com/products/qasystemonmedicalgraph", "card": {"archived": false, "artifact_type": "application", "description": "该项目是基于医疗领域知识图谱的问答系统。实现比较简单。", "domain": ["healthcare", "artificial-intelligence", "databases"], "enriched": true, "function": ["nlp", "search-engine", "chatbot", "rag"], "health_score": 20, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["zhihao-chen/QASystemOnMedicalGraph"], "name": "zhihao-chen/QASystemOnMedicalGraph", "platform": ["python", "windows"], "pushed_at": "2019-05-24T04:53:58+00:00", "repo": "zhihao-chen/QASystemOnMedicalGraph", "stars": 1426, "tags": ["knowledge-graph", "kbqa", "neo4j", "medical-qa", "chinese-nlp", "question-answering", "natural-language-processing", "linux", "macos"], "topics": [], "urls": [], "use_cases": ["build a medical knowledge graph question answering system", "learn how KBQA pipelines work end to end", "query diseases by symptom, drug, or department", "construct a Neo4j knowledge graph from scraped health data", "implement Chinese question intent classification"], "what_it_is": "A medical-domain knowledge graph question answering system built in Python with Neo4j, containing ~37k entities and ~210k relations scraped from 39 Health. It parses user questions, classifies intent, and answers queries about diseases, symptoms, drugs, and treatments.", "when_to_avoid": ["you need production-grade medical advice or up-to-date clinical data", "you require a maintained project with a license or active releases", "you need large-scale or multilingual knowledge graphs"], "when_to_choose": ["you want a simple, educational reference implementation of a knowledge-graph QA system", "you need a small Chinese medical knowledge graph with Neo4j", "you are learning KBQA intent classification and graph querying"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/qasystemonmedicalgraph", "repo": "zhihao-chen/QASystemOnMedicalGraph", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:41.582316+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:37:29.435697+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3eb9e2b4f947e121d36089b33006f22f65fb8ed3e9adc4c55ed3aff516a54da2", "fetched_at": "2026-08-28T04:04:41.582316+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zhihao-chen/QASystemOnMedicalGraph"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2784, "days_push": 2658, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}