训练预测脓毒血症疾病发展的文本大模型的JSON数据集样例

训练预测脓毒血症疾病发展的文本大模型的JSON数据集样例

[
  {
    "patient_id": "001",
    "age": 45,
    "gender": "male",
    "medical_history": {
      "diabetes": true,
      "hypertension": true,
      "heart_disease": false
    },
    "symptoms": {
      "fever": true,
      "chills": true,
      "confusion": false,
      "hypotension": true,
      "tachycardia": true,
      "tachypnea": true
    },
    "lab_results": {
      "white_blood_cell_count": 15000,
      "blood_culture": "positive",
      "creatinine": 1.2,
      "lactate": 2.5
    },
    "medications": {
      "antibiotics": ["ceftriaxone"],
      "vasopressors": ["norepinephrine"],
      "fluids": ["normal saline"]
    },
    "vital_signs": {
      "heart_rate": 110,
      "blood_pressure": 90,
      "respiratory_rate": 24,
      "temperature": 38.5,
      "oxygen_saturation": 92
    },
    "disease_progression": "severe"
  },
  {
    "patient_id": "002",
    "age": 32,
    "gender": "female",
    "medical_history": {
      "diabetes": false,
      "hypertension": false,
      "heart_disease": false
    },
    "symptoms": {
      "fever": true,
      "chills": true,
      "confusion": true,
      "hypotension": true,
      "tachycardia": true,
      "tachypnea": true
    },
    "lab_results": {
      "white_blood_cell_count": 18000,
      "blood_culture": "positive",
      "creatinine": 1.5,
      "lactate": 3.0
    },
    "medications": {
      "antibiotics": ["ceftriaxone", "vancomycin"],
      "vasopressors": ["norepinephrine"],
      "fluids": ["normal saline"]
    },
    "vital_signs": {
      "heart_rate": 120,
      "blood_pressure": 85,
      "respiratory_rate": 26,
      "temperature": 39.0,
      "oxygen_saturation": 90
    },
    "disease_progression": "critical"
  },
  {
    "patient_id": "003",
    "age": 58,
    "gender": "male",
    "medical_history": {
      "diabetes": true,
      "hypertension": true,
      "heart_disease": true
    },
    "symptoms": {
      "fever": true,
      "chills": false,
      "confusion": true,
      "hypotension": true,
      "tachycardia": true,
      "tachypnea": true
    },
    "lab_results": {
      "white_blood_cell_count": 20000,
      "blood_culture": "positive",
      "creatinine": 2.0,
      "lactate": 3.5
    },
    "medications": {
      "antibiotics": ["ceftriaxone", "vancomycin"],
      "vasopressors": ["norepinephrine", "epinephrine"],
      "fluids": ["normal saline"]
    },
    "vital_signs": {
      "heart_rate": 125,
      "blood_pressure": 80,
      "respiratory_rate": 28,
      "temperature": 39.5,
      "oxygen_saturation": 88
    },
    "disease_progression": "critical"
  },
  {
    "patient_id": "004",
    "age": 28,
    "gender": "female",
    "medical_history": {
      "diabetes": false,
      "hypertension": false,
      "heart_disease": false
    },
    "symptoms": {
      "fever": true,
      "chills": true,
      "confusion": false,
      "hypotension": false,
      "tachycardia": true,
      "tachypnea": true
    },
    "lab_results": {
      "white_blood_cell_count": 12000,
      "blood_culture": "negative",
      "creatinine": 1.0,
      "lactate": 1.8
    },
    "medications": {
      "antibiotics": ["ceftriaxone"],
      "vasopressors": false,
      "fluids": ["normal saline"]
    },
    "vital_signs": {
      "heart_rate": 100,
      "blood_pressure": 100,
      "respiratory_rate": 20,
      "temperature": 38.0,
      "oxygen_saturation": 95
    },
    "disease_progression": "mild"
  }
]

说明

1. patient_id: 患者的唯一标识符。

2. age: 患者的年龄。

3. gender: 患者的性别。

4. medical_history: 患者的病史，包括糖尿病、高血压和心脏病等。

5. symptoms: 患者的症状，包括发热、战栗、混乱、低血压、心动过速和呼吸加快等。

6. lab_results: 实验室检查结果，包括白细胞计数、血培养、肌酐素和乳酸等。

7. medications: 患者正在使用的药物，包括抗生素、血管加压剂和输液等。

8. vital_signs: 生命体征，包括心率、血压、呼吸频率、体温和氧饱和度等。

9. disease_progression: 疾病的进展程度，分为“mild”（轻度）、“severe”（严重）和“critical”（危重）等级。

使用方法

1. 数据预处理：根据需要对数据进行清洗、标准化和匿名化处理。

2. 模型训练：将数据用于训练文本大模型，特别是针对脓毒血症疾病进展的预测任务。

3. 模型评估：使用适当的评估指标（如准确率、灵敏度、特异性等）评估模型性能。

4. 临床应用：将训练好的模型集成到临床决策支持系统中，帮助医生预测患者的疾病进展，指导个性化治疗方案的制定。