import pandas as pd
data = {
"风险": [
"麻醉风险",
"感染风险",
"出血和血肿",
"面部神经损伤",
"术后恢复慢"
],
"53岁人群影响": [
"麻醉耐受性降低",
"感染风险增加",
"愈合能力下降",
"术后恢复慢",
"并发症风险高"
]
}
df = pd.DataFrame(data)
df.to_csv('/mnt/data/下颌角整形风险分析.csv', index=False, encoding='utf-8-sig')
df