Physical Exam Datasets

500 cases真实结构化Physical Exam Data | 性别均衡mintier | Health CheckupAmount1000CNY+ | Collaboration50+Deeply authorized by Grade-A Tertiary hospitals

50010K
Health CheckupRecordTotal
1:1
男女比cases均衡
1000CNY+
Health CheckupAmount门槛
50+
CollaborationHospitalQuantity
2-4周
Delivery Cycle

DatasetsOverview

定义:Physical Exam DatasetsisChangsha Langhui Information Technology Co., Ltd.Pass合规转Authorization渠道Access的500 cases真实结构化Physical Exam Data。Source于Collaboration50+and above hospitals(含复旦排row榜100TypeHospital),IncludesDirect authorization from three Grade-A Tertiary hospitals城Citylevel全面Authorization Document。DataCoverage全yr龄segment,男女比cases1:1均衡采样,Health CheckupAmount均超1000CNY,确保Data Quality与Representativeness。是Health ManagementAIDomain规模最大、维度最全的TrainingDatasetsone of。

DatasetsNamePhysical Exam Datasets(含人群mintier)
DataTotal500 cases真Entity检Record
DataTypeStructured Data
Data Source转卖(Collaboration50+and above hospitals,含复旦100TypeHospital)
Authorization MethodHospitalDirect Authorization Direct authorization from three Grade-A Tertiary hospitals + 城Citylevel全面Authorization Document
Delivery Cycle2周-1mo
性别min布男:女接近1:1,均衡采样
yr龄mintier18岁以下10% | 18-30岁20% | 30-40岁30% | 40-60岁30% | 60岁above10%
Health CheckupAmountAllHealth CheckupAmount ≥ 1000CNY(中高端Health Checkup套餐)

核心DataFields

每casesHealth CheckupRecord包含超过80结构化Fields,Covering complete physical examination dimensions from basic information to imaging studies。

Fieldstypes别Field Count典型Fields
人口学Info8性别、出生yrrecords、yr龄、身高、体重、BMI、腰围、Blood Pressure(收缩压/舒sheets压)
血常规15White Blood Cells计数、Red Blood Cells计数、Hemoglobin、Platelets计数、Neutrophil percentage、Lymph细胞hundredmin比等
生化全items22ALT、AST、GGT、Creatinine、Uric Acid、eGFR、总胆固醇、甘油三酯、LDL-C、FastingBlood Glucose、HbA1c
OncologyBiomarkers12AFP、CEA、CA19-9、CA125、PSA总/游离/比值(男)、CA15-3(女)
ImagingExamination15胸部CT所见及Lung-RADSminlevel、Carotid ArteryUltrasoundIMT及狭窄率、HeartUltrasoundEF及E/A比
内镜Examination8Gastroscope所见、病理Result、HPStatus;Colonoscope所见、Polyp位置Sizemin型
综合Assessment10主要Abnormal发现、Risk Assessmentminlevel、历yr对比Data、HealthRecommendation

Data样cases展示

以下为De-identification后的结构化Physical Exam Data样cases,展示典型的Fields结构与DataFormat。

{
  "anon_id": "PHY-2023-A8F2K9M4X7",
  "report_id": "RPT-S-BJXH-20230415-0032",
  "meta": {
    "quality_grade": "S",
    "source_institution": "CollaborationMedical InstitutionHealth CheckupCenter",
    "institution_tier": "High-quality",
    "checkup_date": "2023-04-15",
    "report_pages": 42,
    "original_price_cny": 6800
  },
  "demographics": {
    "gender": "男",
    "birth_year": 1975,
    "age_at_checkup": 48,
    "height_cm": 172.5,
    "weight_kg": 78.3,
    "bmi": 26.3,
    "waist_cm": 92,
    "blood_pressure_mmhg": {"systolic": 138, "diastolic": 88}
  },
  "lab_results": {
    "blood_routine": {"wbc_10e9_L": 6.8, "hgb_g_L": 152, "plt_10e9_L": 218},
    "biochemistry": {
      "alt_U_L": 42, "ggt_U_L": 68, "cr_umol_L": 88, "ua_umol_L": 420,
      "egfr_ml_min": 88, "tc_mmol_L": 5.82, "tg_mmol_L": 2.35,
      "ldl_c_mmol_L": 3.68, "fpg_mmol_L": 6.2, "hba1c_percent": 6.0
    },
    "tumor_markers": {
      "afp_ng_ml": 3.2, "cea_ng_ml": 2.1, "ca19_9_U_ml": 15.8,
      "psa_total_ng_ml": 2.8, "psa_ratio": 0.21
    }
  },
  "imaging": {
    "chest_ct": {
      "findings": "双肺散在微小Nodule,Largest lesion in the apical segment of the right upper lobe,直径约4mm,磨玻璃密度,Lung-RADS 2types。",
      "lung_rads": "2", "nodule_count": 3, "largest_nodule_mm": 4
    },
    "carotid_us": {
      "findings": "Mixed echogenic plaque visible at the left common carotid artery bifurcation,Size约8.2x2.5mm,管腔狭窄率约25%。",
      "imt_left_mm": 1.1, "stenosis_percent": 25
    }
  },
  "summary": {
    "main_findings": [
      "Mild脂肪肝", "双侧Carotid Artery粥样Sclerosis伴左侧斑块(狭窄率25%)",
      "FastingBlood Glucose受损(IFG),HbA1c临界Elevated", "Mixed hyperlipidemia",
      "右肺上叶微小Nodule(Lung-RADS 2types)"
    ],
    "risk_stratification": "CardiovascularDisease中危"
  }
}

AI Application Scenario

HealthRisk AssessmentModel

基于Large-scalePhysical Exam DataTrainingCardiovascularDisease、Diabetes、Oncology等多维度HealthRisk AssessmentModel,Achieve体化风险Forecast与mintierMgmt。

DiseaseEarly StageForecast

利用Rich的生化指标和ImagingData,构建DiseaseEarly Stage预警Model。Pass历yrData ComparisonAnalysis,Capturing health indicatorAbnormal变化趋势。

Health CheckupReportAIInterpretation

Training health management large models to achieve automated health report interpretation,Providing users with easy-to-understand health analysis and personalized health recommendations。

Health ManagementAIAssistant

基于500 cases均衡采样DataTrainingHealth ManagementConversationAI,Coverage全yr龄segment、All-gender health consultation and managementRecommendationGeneration。

Insurance cost control and health economics

Analysis不同yr龄、性别群体的Health CheckupConsumption patterns and disease spectrum,Providing data support for health insurance actuarial analysis and public health policy。

Chronic Disease Management纵向Analysis

Pass历yrPhysical Exam Data对比,Training慢病ProgressiveForecastModel,AchieveDiabetes、高Blood Pressure、Precision management of hyperlipidemia and chronic diseases。

商业价值Analysis

规模优势 — 50010K-level balanced sampling

500 cases的超Large-scale确保Statistics显著性。男女1:1Balanced ratio with five-tier age stratification(各占10%-30%)为AIModelProvide sufficient samplesDiversity,Effectively mitigates gender and age bias。

合规优势 — Triple hospital authorization guarantee

Unlike single-source authorization,本DatasetsIncludes direct authorization from three Grade-A Tertiary hospitals plus city-level comprehensive authorization documents,Multi-layered legal firewall。这在MedicalAIData的ComplianceSignificant advantage in review。

Quality优势 — 1000CNY+中高端Health Checkup

AllHealth CheckupRecordAmount超过1000CNY,includingCT、Ultrasound、OncologyBiomarkersMid-to-high-end comprehensiveHealth Checkup套餐。Fields维度Rich(80+Fields),远超基础Health Checkup的Data深度。

场景优势 — Health ManagementAI全栈Coverage

From disease prediction to report interpretation,From risk assessment to health recommendations,本DatasetsSupporting health managementAI的Full-chainTraining。CoverageHealth Checkup前(Risk Assessment)、Health Checkup中(辅助Diagnosis)、Health Checkup后(ReportInterpretation)的完整Closed-loop。

FAQ

Data的Authorization Method是怎样的?
本DatasetsPass转卖方式Access,但Authorizationtierlevel深厚:Collaboration50+and above hospitals(含复旦排row榜100TypeHospital),IncludesDirect authorization documents from three Grade-A Tertiary hospitalsand城Citylevel全面Authorization Document。Langhui Technology确保Authorization ChainRd.的Completeness与Compliance,可配合Client进rowCompliance review。
Data是否De-identifiedProcessing?
AllDataCompleted严格De-identificationProcessing。所有人身recordsInfo(姓名、身records证No.、PhoneNo.码、Address、工作Unit等)均Used去除或泛化。DataRetain only medical dimension dataFields,符合《人Info保护法》和《Data Security法》要求。
Data包含哪些ExaminationProject?
Coverage全面Health CheckupProject:血常规(15items)、生化全items(22items含肝功肾功Blood LipidsBlood Glucose)、OncologyBiomarkers(12items)、ImagingExamination(胸部CT、Abdominal Ultrasound、Carotid ArteryUltrasound、HeartUltrasound等)、内镜Examination(Gastroscope、Colonoscope)及综合AssessmentReport。单casesRecord超过80结构化Fields。
与hundred10KlevelPhysical Exam Datasets有何District别?
本Datasets(500 cases)规模是hundred10KlevelPhysical Exam Datasets的5x,With added rigorous population stratificationDesign(性别1:1 + 五segmentyr龄mintier),确保AITraininghr的样本Balance。同hrIncludesDirect authorization from three Grade-A Tertiary hospitalsFile,Authorizationtierlevel更加完整。

需要Customized的HealthDataSolution?

Changsha Langhui Information Technology Co., Ltd. DataAssetsAPI Platform,提供从Data Collection、Annotation到Authorization的One-stopMedicalData Service。Supports age-based stratification、按性别Grouping、按ExaminationProject灵活组合的DataSolution。

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