多维度健康智能分析,助力精准医疗新时代
基于海量医疗数据训练,提供症状分析、疾病预测和诊断建议,辅助医生做出更准确的临床决策。
通过时间序列分析和机器学习算法,预测个人健康趋势,提前发现潜在健康风险。
结合患者个体差异,基因信息和生活习惯,推荐最适合的个性化治疗和预防方案。
整合电子病历、医学影像、基因组数据等多种医疗数据源,提供全面的健康画像分析。
采用先进的加密技术和隐私保护算法,确保患者数据安全和医疗信息保密性。
支持可穿戴设备数据接入,实现24小时健康状态监测和异常情况实时预警。
API Key + App Key 双重认证机制
每秒 100+ 请求,支持高并发访问
平均响应时间 < 500ms
基于用户健康数据进行全面的健康状况评估,提供详细的健康报告和建议
| 参数名称 | 类型 | 是否必填 | 描述 |
|---|---|---|---|
| age | integer | 是 | 用户年龄 |
| gender | string | 是 | 用户性别 (male/female) |
| symptoms | array | 否 | 症状列表 |
| medical_history | string | 否 | 既往病史 |
| vital_signs | object | 否 | 生命体征数据 (血压、心率等) |
{
"status": "success",
"data": {
"health_score": 85,
"risk_factors": ["高血压风险", "心血管疾病"],
"recommendations": ["建议定期监测血压", "增加有氧运动"],
"disease_probabilities": {
"hypertension": 0.32,
"diabetes": 0.15
}
}
}
智能分析用户描述的症状,提供可能的疾病预测和就医建议
| 参数名称 | 类型 | 是否必填 | 描述 |
|---|---|---|---|
| symptoms | array | 是 | 症状描述列表 |
| duration | string | 否 | 症状持续时间 |
| severity | string | 否 | 症状严重程度 |
| additional_info | string | 否 | 其他相关信息 |
{
"status": "success",
"data": {
"possible_conditions": [
{"condition": "感冒", "probability": 0.65},
{"condition": "流感", "probability": 0.28},
{"condition": "过敏性鼻炎", "probability": 0.15}
],
"urgency_level": "中等",
"recommendations": ["多休息", "适当服用感冒药", "如症状加重请及时就医"],
"consultation_suggestion": "建议就诊科室:内科"
}
}
根据用户健康档案和当前状况,提供个性化的健康管理建议
| 参数名称 | 类型 | 是否必填 | 描述 |
|---|---|---|---|
| user_id | string | 是 | 用户唯一标识 |
| current_condition | string | 否 | 当前健康状况描述 |
| lifestyle | object | 否 | 生活方式信息 |
| goals | array | 否 | 健康目标列表 |
{
"status": "success",
"data": {
"daily_recommendations": [
"晨跑30分钟以提高心肺功能",
"增加深绿色蔬菜摄入量",
"保证每晚7-8小时充足睡眠"
],
"weekly_plan": {
"Monday": "有氧运动 + 力量训练",
"Wednesday": "瑜伽放松 + 营养补充",
"Friday": "健康体检 + 数据分析"
},
"nutrition_suggestions": ["多食用富含Omega-3的食物", "减少加工食品摄入"],
"expected_improvement": "预计4-6周可见明显健康指标改善"
}
}
基于历史健康数据,预测未来健康趋势和潜在风险
| 参数名称 | 类型 | 是否必填 | 描述 |
|---|---|---|---|
| user_id | string | 是 | 用户唯一标识 |
| historical_data | array | 是 | 历史健康数据记录 |
| prediction_period | string | 否 | 预测周期 (days/months/years) |
| metrics | array | 否 | 需要预测的健康指标 |
{
"status": "success",
"data": {
"predictions": {
"blood_pressure": {
"trend": "稳定",
"forecast": [{"date": "2024-01-15", "value": 120}, {"date": "2024-02-15", "value": 118}],
"risk": "低风险"
},
"weight": {
"trend": "下降",
"forecast": [{"date": "2024-01-15", "value": 68.5}, {"date": "2024-02-15", "value": 67.2}],
"risk": "无风险"
}
},
"alerts": [],
"recommendations": ["继续保持当前运动习惯", "注意营养均衡"]
}
}
import requests
import json
API_KEY = 'your_api_key_here'
APP_KEY = 'your_app_key_here'
BASE_URL = 'https://api.zhiyuan-health.com/v1'
headers = {
'Authorization': f'Bearer {API_KEY}',
'App-Key': APP_KEY,
'Content-Type': 'application/json'
}
def health_assessment():
url = f'{BASE_URL}/health/assessment'
params = {
'age': 35,
'gender': 'male',
'symptoms': ['headache', 'fatigue'],
'medical_history': 'none'
}
response = requests.get(url, headers=headers, params=params)
return response.json()
def symptom_analysis():
url = f'{BASE_URL}/symptoms/analyze'
data = {
'symptoms': ['fever', 'cough', 'body_ache'],
'duration': '3_days',
'severity': 'moderate'
}
response = requests.post(url, headers=headers, json=data)
return response.json()
# 示例调用
if __name__ == '__main__':
print('健康评估结果:', json.dumps(health_assessment(), indent=2))
print('症状分析结果:', json.dumps(symptom_analysis(), indent=2))
const API_KEY = 'your_api_key_here';
const APP_KEY = 'your_app_key_here';
const BASE_URL = 'https://api.zhiyuan-health.com/v1';
const headers = {
'Authorization': `Bearer ${API_KEY}`,
'App-Key': APP_KEY,
'Content-Type': 'application/json'
};
async function healthAssessment() {
const url = `${BASE_URL}/health/assessment`;
const params = new URLSearchParams({
age: '35',
gender: 'female',
symptoms: 'migraine,insomnia',
medical_history: 'mild_anemia'
});
const response = await fetch(`${url}?${params}`, {
headers,
method: 'GET'
});
return await response.json();
}
async function symptomAnalysis() {
const url = `${BASE_URL}/symptoms/analyze`;
const data = {
symptoms: ['nausea', 'dizziness', 'abdominal_pain'],
duration: '1_week',
severity: 'mild'
};
const response = await fetch(url, {
headers,
method: 'POST',
body: JSON.stringify(data)
});
return await response.json();
}
// 示例调用
(async () => {
try {
const healthResult = await healthAssessment();
const symptomResult = await symptomAnalysis();
console.log('健康评估结果:', JSON.stringify(healthResult, null, 2));
console.log('症状分析结果:', JSON.stringify(symptomResult, null, 2));
} catch (error) {
console.error('API调用错误:', error);
}
})();
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLEncoder;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
public class HealthApiClient {
private static final String API_KEY = "your_api_key_here";
private static final String APP_KEY = "your_app_key_here";
private static final String BASE_URL = "https://api.zhiyuan-health.com/v1";
private static final Map HEADERS = Map.of(
"Authorization", "Bearer " + API_KEY,
"App-Key", APP_KEY,
"Content-Type", "application/json"
);
public static void main(String[] args) throws Exception {
System.out.println("健康评估结果: " + healthAssessment());
System.out.println("症状分析结果: " + symptomAnalysis());
}
public static String healthAssessment() throws Exception {
String url = BASE_URL + "/health/assessment";
Map params = new HashMap<>();
params.put("age", "42");
params.put("gender", "male");
params.put("symptoms", "back_pain,shoulder_stiffness");
params.put("medical_history", "hypertension");
return sendGetRequest(url, params);
}
public static String symptomAnalysis() throws Exception {
String url = BASE_URL + "/symptoms/analyze";
String data = """
{
"symptoms": ["sore_throat", "runny_nose", "sneezing"],
"duration": "5_days",
"severity": "mild",
"additional_info": "seasonal_allergy_history"
}
""";
return sendPostRequest(url, data);
}
private static String sendGetRequest(String urlStr, Map params) throws Exception {
StringBuilder urlBuilder = new StringBuilder(urlStr);
if (!params.isEmpty()) {
urlBuilder.append('?').append(buildQueryString(params));
}
return sendRequest(urlBuilder.toString(), "GET", null);
}
private static String sendPostRequest(String urlStr, String data) throws Exception {
return sendRequest(urlStr, "POST", data);
}
private static String sendRequest(String urlStr, String method, String data) throws Exception {
URL url = new URL(urlStr);
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
connection.setRequestMethod(method);
connection.setDoOutput(true);
for (Map.Entry entry : HEADERS.entrySet()) {
connection.setRequestProperty(entry.getKey(), entry.getValue());
}
if (data != null) {
connection.getOutputStream().write(data.getBytes(StandardCharsets.UTF_8));
}
return readResponse(connection);
}
private static String buildQueryString(Map params) throws Exception {
return params.entrySet().stream()
.map(entry -> URLEncoder.encode(entry.getKey(), "UTF-8") + "=" + URLEncoder.encode(entry.getValue(), "UTF-8"))
.reduce((a, b) -> a + "&" + b)
.orElse("");
}
private static String readResponse(HttpURLConnection connection) throws Exception {
try (BufferedReader reader = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
return reader.lines().reduce("", (a, b) -> a + b);
}
}
}
| 错误码 | 状态码 | 描述 | 解决方案 |
|---|---|---|---|
| INVALID_AUTH | 401 | 认证信息无效 | 检查API Key和App Key是否正确,是否已过期 |
| MISSING_PARAMETERS | 400 | 缺少必填参数 | 检查请求参数是否完整,参考文档确认必填项 |
| INVALID_PARAMETER | 400 | 参数格式错误 | 检查参数类型和格式是否符合要求 |
| QUOTA_EXCEEDED | 429 | 调用配额超限 | 联系客服升级配额,或优化调用频率 |
| INTERNAL_ERROR | 500 | 服务端内部错误 | 稍后重试,如持续出现请联系技术支持 |
| FEATURE_DISABLED | 403 | 功能未启用 | 确认相关功能模块是否已开通权限 |