import pandas as pd

data = {
    "因素": ["手术技术", "毛囊质量", "术后护理"],
    "影响": [
        "手术技术的好坏直接影响美人尖种植的效果。",
        "毛囊的质量是影响美人尖种植效果的重要因素。",
        "术后护理对于美人尖种植的效果也非常重要。"
    ]
}

df = pd.DataFrame(data)
df.to_csv('/mnt/data/beauty_forehead_transplant_factors.csv', index=False, encoding='utf-8-sig')

data_risk = {
    "风险": ["感染风险", "毛囊存活率低"],
    "描述": [
        "美人尖种植属于微创手术，若操作环境或器械消毒不彻底，可能导致感染。",
        "毛囊存活率直接影响种植效果，若毛囊提取或种植技术不当，可能导致毛囊存活率低。"
    ]
}

df_risk = pd.DataFrame(data_risk)
df_risk.to_csv('/mnt/data/beauty_forehead_transplant_risks.csv', index=False, encoding='utf-8-sig')

data_suitability = {
    "适用人群": ["天生没有美人尖者", "美人尖稀疏者", "美人尖形态不佳者"],
    "描述": [
        "手术适合天生没有美人尖，但希望拥有这一特征的人群。",
        "手术适应于美人尖稀疏的爱美人士。",
        "手术针对美人尖形态不佳的人群有较明显的改善效果。"
    ]
}

df_suitability = pd.DataFrame(data_suitability)
df_suitability.to_csv('/mnt/data/beauty_forehead_transplant_suitability.csv', index=False, encoding='utf-8-sig')

data_recommendations = {
    "建议": [
        "选择经验丰富的医生进行手术。",
        "术后严格遵循医嘱进行护理。",
        "术前充分了解手术风险及效果预期。"
    ]
}

df_recommendations = pd.DataFrame(data_recommendations)
df_recommendations.to_csv('/mnt/data/beauty_forehead_transplant_recommendations.csv', index=False, encoding='utf-8-sig')