AIclinicalresearch/docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_AI_Few-shot示例库.md

撌亙<EFBFBD>C - AI Copilot Few-shot蝷箔<E89DB7>摨?

<EFBFBD><EFBFBD>﹝<EFBFBD><EFBFBD>𧋦: V1.0
<EFBFBD>𥕦遣<EFBFBD>交<EFBFBD>: 2025-12-06
**<2A>券<EFBFBD>?*: System Prompt銝剔<E98A9D>Few-shot蝷箔<E89DB7>
閬<EFBFBD><EFBFBD><EFBFBD>箸艶: 隞𤾸抅蝖<E68A85>皜<EFBFBD><E79A9C><EFBFBD>圈<EFBFBD>蝥扳<E89DA5>銵伐<E98AB5>10銝芣瓲敹<E793B2>㦤<EFBFBD>?

---

<EFBFBD><EFBFBD> 蝷箔<E89DB7><E7AE94>餉<EFBFBD>

蝻硋噡	<EFBFBD>箸艶<EFBFBD>滨妍	蝥批<EFBFBD>	<EFBFBD><EFBFBD><EFBFBD>航<EFBFBD><EFBFBD>?	<EFBFBD>餌<EFBFBD>隞瑕<EFBFBD>?
1	蝏煺<EFBFBD>蝻箏仃<EFBFBD>潭<EFBFBD>霈?	Level 1	replace	<EFBFBD>唳旿<EFBFBD><EFBFBD><EFBFBD><EFBFBD>?潃鐥<E6BD83>潃?
2	<EFBFBD>啣<EFBFBD>澆<EFBFBD>皜<EFBFBD><EFBFBD>	Level 1	甇<EFBFBD><EFBFBD>+蝐餃<E89D90>頧祆揢	璉<EFBFBD>撉<EFBFBD><EFBFBD>澆<EFBFBD><EFBFBD>?潃鐥<E6BD83>潃鐥<E6BD83>
3	<EFBFBD><EFBFBD>掩<EFBFBD>㗛<EFBFBD>蝻𣇉<EFBFBD>	Level 2	map	蝏蠘恣撱箸芋 潃鐥<E6BD83>潃鐥<E6BD83>潃?
4	餈䂿賒<EFBFBD>㗛<EFBFBD><EFBFBD><EFBFBD>拳	Level 2	cut	<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> 潃鐥<E6BD83>潃鐥<E6BD83>
5	BMI霈∠<EFBFBD>銝𤾸<EFBFBD>蝐?	Level 3	<EFBFBD>砍<EFBFBD>+<2B>∩辣	銝游<EFBFBD><EFBFBD><EFBFBD><EFBFBD> 潃鐥<E6BD83>潃鐥<E6BD83>潃?
6	<EFBFBD>交<EFBFBD>霈∠<EFBFBD>	Level 3	datetime	<EFBFBD>園𡢿<EFBFBD>湧<EFBFBD> 潃鐥<E6BD83>潃鐥<E6BD83>潃?
7	<EFBFBD>∩辣蝑偦<EFBFBD>?	Level 3	憭𡁏辺隞嗉<EFBFBD>皛?	<EFBFBD>亦<EFBFBD><EFBFBD><EFBFBD><EFBFBD> 潃鐥<E6BD83>潃鐥<E6BD83>潃?
8	蝞<EFBFBD><EFBFBD>閧撩憭勗<EFBFBD>澆‵銵?	Level 4	fillna	蝻箏仃憭<EFBFBD><EFBFBD> 潃鐥<E6BD83>潃鐥<E6BD83>
9	憭𡁻<EFBFBD><EFBFBD>坿‘(MICE)	Level 4	IterativeImputer	擃条漣憛怨‘ 潃鐥<E6BD83>潃鐥<E6BD83>潃?
10	<EFBFBD>箄<EFBFBD><EFBFBD>駁<EFBFBD>	Level 4	sort+drop_duplicates	<EFBFBD>唳旿韐券<EFBFBD> 潃鐥<E6BD83>潃鐥<E6BD83>

---

<EFBFBD>㴓 Level 1: <20>箇<EFBFBD><E7AE87>唳旿皜<E697BF><E79A9C>嚗?銝迎<E98A9D>

蝷箔<EFBFBD>1: 蝏煺<E89D8F>蝻箏仃<E7AE8F>潭<EFBFBD>霈?

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>𦠜<EFBFBD><EFBFBD>劐誨銵函撩憭梁<EFBFBD>蝚血噡嚗?<3F><><EFBFBD>霂艾<E99C82><E889BE>A<EFBFBD><41>/A嚗厩<E59A97>銝<EFBFBD><E98A9D>踵揢銝箸<E98A9D><E7AEB8><EFBFBD>征<EFBFBD>?

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# 蝏煺<E89D8F>蝻箏仃<E7AE8F>潭<EFBFBD>霈?
df = df.replace(['-', '銝滩祕', 'NA', 'N/A', '\\', '<27>芣䰻'], np.nan)

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• <EFBFBD>餌<EFBFBD><EFBFBD>唳旿撣貉<EFBFBD>憭𡁶<EFBFBD>蝻箏仃<EFBFBD>潸”蝷箸䲮撘?
• 蝏煺<EFBFBD>銝箸<EFBFBD><EFBFBD><EFBFBD>aN靘蹂<EFBFBD><EFBFBD>𡒊賒蝏蠘恣<EFBFBD><EFBFBD><EFBFBD>
• <EFBFBD><EFBFBD>鍂<EFBFBD>箸艶: <20>唳旿皜<E697BF><E79A9C>蝚砌<E89D9A>甇?

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• <EFBFBD><EFBFBD><EFBFBD>厰<EFBFBD><EFBFBD><EFBFBD><EFBFBD>蝻箏仃<EFBFBD>潭<EFBFBD>霈啗◤蝏煺<EFBFBD>銝摸aN
• <EFBFBD>𡒊賒<EFBFBD>臭蝙<EFBFBD>甬snull()蝑㗇䲮瘜閧<E7989C>銝<EFBFBD>憭<EFBFBD><E686AD>

---

蝷箔<EFBFBD>2: <20>啣<EFBFBD>澆<EFBFBD>皜<EFBFBD><E79A9C>

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>𡃏<EFBFBD><EFBFBD>𣂼<EFBFBD><EFBFBD>𣬚<EFBFBD><EFBFBD>墧㺭摮㛖泵<EFBFBD>瑕縧<EFBFBD>㚁<EFBFBD><0.1<EFBFBD>?.05憭<EFBFBD><EFBFBD>嚗諹蓮銝箸㺭<EFBFBD>潛掩<EFBFBD>?

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# 憭<><E686AD><EFBFBD>啣<EFBFBD>澆<EFBFBD><E6BE86><EFBFBD>泵<EFBFBD>?
df['creatinine'] = df['creatinine'].astype(str).str.replace('>', '').str.replace('<', '')
df.loc[df['creatinine'] == '0.1', 'creatinine'] = '0.05'
df['creatinine'] = pd.to_numeric(df['creatinine'], errors='coerce')

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• 璉<EFBFBD>撉𣬚<EFBFBD>撖澆枂<EFBFBD>唳旿撣詨鉄蝚血噡嚗?<3F>?<3F>?蝑㚁<E89D91>
• <EFBFBD><EFBFBD>皜<EFBFBD><EFBFBD><EFBFBD>擧<EFBFBD><EFBFBD>質<EFBFBD>銵峕㺭<EFBFBD>潸恣蝞堒<EFBFBD>蝏蠘恣<EFBFBD><EFBFBD><EFBFBD>
• errors='coerce'撠<><E692A0>瘜閗蓮<E99697>Ｙ<EFBFBD><EFBCB9>潸挽銝摸aN

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• <EFBFBD>屸<EFBFBD><EFBFBD>堒<EFBFBD>銝箇滲<EFBFBD>啣<EFBFBD>潛掩<EFBFBD>?
• 蝚血噡鋡急迤蝖桀<EFBFBD><EFBFBD>?
• 撘<EFBFBD>虜<EFBFBD>潸蓮銝摸aN

<EFBFBD>餌<EFBFBD><EFBFBD>箸艶:

• 璉<EFBFBD>撉峕𥁒<EFBFBD>𠺪<EFBFBD><EFBFBD>屸<EFBFBD><EFBFBD><EFBFBD>蒾蝏<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>蝥Ｚ<EFBFBD><EFBFBD>賜<EFBFBD>
• 撣貉<EFBFBD>蝚血噡嚗?100<30>?0.1<EFBFBD>?2.5+

---

<EFBFBD>圲 Level 2: <20>㗛<EFBFBD>蝻𣇉<E89DBB>銝舘恣蝞梹<E89D9E>2銝迎<E98A9D>

蝷箔<EFBFBD>3: <20><>掩<EFBFBD>㗛<EFBFBD>蝻𣇉<E89DBB>

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>𦠜<EFBFBD>批<EFBFBD><EFBFBD>𡑒蓮銝箸㺭摮梹<EFBFBD><EFBFBD>?1嚗<31>戊=0

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# <20>批<EFBFBD>蝻𣇉<E89DBB>
df['gender_code'] = df['gender'].map({'<27>?: 1, '憟?: 0})

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• 撠<EFBFBD><EFBFBD><EFBFBD>砍<EFBFBD>蝐餃<EFBFBD><EFBFBD>讛蓮銝箸㺭<EFBFBD>?
• 靘蹂<EFBFBD>Logistic<EFBFBD>𧼮<EFBFBD><EFBFBD><EFBFBD><EFBFBD>蝏讐<EFBFBD>蝏𦦵<EFBFBD>撱箸芋
• map<EFBFBD>寞<EFBFBD>蝞<EFBFBD>瘣<EFBFBD><EFBFBD><EFBFBD>?

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• <EFBFBD>啣<EFBFBD>gender_code<EFBFBD>?
• <EFBFBD>猾<EFBFBD>1, 憟喇<E6869F>0
• <EFBFBD>鰛ender<EFBFBD>𦯀<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>?

<EFBFBD>拙<EFBFBD><EFBFBD>箸艶:

• 憍𡁜宏<EFBFBD>嗆<EFBFBD>? 撌脣<E6928C>=1, <20>芸<EFBFBD>=0
• <EFBFBD>貊<EFBFBD><EFBFBD>? <20>?1, <20>?0
• <EFBFBD>躰<EFBFBD>蝔见漲: 撠誩郎=1, <20>苷葉=2, 擃䀝葉=3, 憭批郎=4

---

蝷箔<EFBFBD>4: 餈䂿賒<E482BF>㗛<EFBFBD><E3979B><EFBFBD>拳

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>𠰴僑樴<EFBFBD><EFBFBD>18撗<EFBFBD><EFBFBD>?0撗<30><E69297>銝箸𧊋<E7AEB8>𣂼僑<F0A382BC><E58391><EFBFBD>撟氬<E6929F><E6B0AC><EFBFBD><EFBFBD>僑銝厩<E98A9D>

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# 撟湧<E6929F><E6B9A7><EFBFBD><EFBFBD>
df['age_group'] = pd.cut(df['age'], 
                         bins=[0, 18, 60, 120],
                         labels=['<27>芣<EFBFBD>撟?, '<EFBFBD>𣂼僑', '<EFBFBD><EFBFBD>僑'],
                         right=False)

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• 撠<EFBFBD><EFBFBD>蝏剖<EFBFBD><EFBFBD>讐氖<EFBFBD><EFBFBD><EFBFBD>銝箸<EFBFBD>摨誩<EFBFBD>蝐餃<EFBFBD><EFBFBD>?
• bins摰帋<EFBFBD><EFBFBD>粹𡢿颲寧<EFBFBD>嚗𨧣abels摰帋<EFBFBD><EFBFBD><EFBFBD>倌
• right=False銵函內撌阡𡡒<E998A1>喳<EFBFBD><E596B3>粹𡢿[0,18)

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• <EFBFBD>啣<EFBFBD>age_group<EFBFBD>?
• 0-17撗<37><E69297><EFBFBD>芣<EFBFBD>撟?
• 18-59撗<39><E69297><EFBFBD>𣂼僑
• 60+撗<><E69297><EFBFBD><EFBFBD>僑

<EFBFBD>餌<EFBFBD>摨𠉛鍂:

• <EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>嚗<EFBFBD><EFBFBD>撟湧<EFBFBD>畾萄<EFBFBD><EFBFBD><EFBFBD><EFBFBD>嚗?
• <EFBFBD>⊥䲮璉<EFBFBD>撉䕘<EFBFBD>撟湧<EFBFBD>蝏<EFBFBD>s<EFBFBD>曄<EFBFBD>嚗?
• <EFBFBD>讛膩<EFBFBD>抒<EFBFBD>霈∴<EFBFBD><EFBFBD>箇瑪<EFBFBD>孵<EFBFBD>銵剁<EFBFBD>

---

<EFBFBD>蘂 Level 3: <20>餃郎霈∠<E99C88>銝𡒊<E98A9D><F0A1928A>㚁<EFBFBD>3銝迎<E98A9D>

蝷箔<EFBFBD>5: BMI霈∠<E99C88>銝𤾸<E98A9D>蝐?

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>寞旿頨恍<EFBFBD>(cm)<29>䔶<EFBFBD><E494B6>?kg)霈∠<E99C88>BMI嚗<49>僎<EFBFBD><E5838E>扇BMI<4D>?8銝箄<E98A9D><E7AE84>?

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# 霈∠<E99C88>BMI
df['BMI'] = df['weight'] / (df['height'] / 100) ** 2

# <20>亥<EFBFBD><E4BAA5><EFBFBD>扇
df['obesity'] = df['BMI'].apply(lambda x: '<27>亥<EFBFBD>' if x >= 28 else '甇<>虜')

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• BMI<EFBFBD>砍<EFBFBD>: 雿㯄<E99BBF>(kg) / 頨恍<E9A0A8>(m)簡
• 銝剖𤙴<EFBFBD><EFBFBD><EFBFBD>: BMI<4D>?8銝箄<E98A9D><E7AE84><EFBFBD>
• <EFBFBD>煾<EFBFBD><EFBFBD>𤥁恣蝞梹<EFBFBD><EFBFBD>𣳇<EFBFBD>敺芰㴓

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• <EFBFBD>啣<EFBFBD>BMI<EFBFBD>梹<EFBFBD><EFBFBD>啣<EFBFBD>潘<EFBFBD>
• <EFBFBD>啣<EFBFBD>obesity<EFBFBD>梹<EFBFBD><EFBFBD><EFBFBD>掩嚗?

銝游<EFBFBD><EFBFBD><EFBFBD><EFBFBD>:

• <EFBFBD>讐𠣕: BMI < 18.5
• 甇<EFBFBD>虜: 18.5 <20>?BMI < 24
• 頞<EFBFBD><EFBFBD>: 24 <20>?BMI < 28
• <EFBFBD>亥<EFBFBD>: BMI <20>?28

<EFBFBD>拙<EFBFBD><EFBFBD>箸艶:

• 雿栞”<EFBFBD>Ｙ妖(BSA): <20>𣇉<EFBFBD><F0A38789><EFBFBD><EFBFBD>霈∠<E99C88>
• eGFR: <20>曉<EFBFBD><E69B89>質<EFBFBD>隡?
• APACHE霂<EFBFBD><EFBFBD>: <20>梢<EFBFBD><E6A2A2><EFBFBD><EFBFBD>隡?

---

蝷箔<EFBFBD>6: <20>交<EFBFBD>霈∠<E99C88>

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>寞旿<EFBFBD>仿堺<EFBFBD>交<EFBFBD><EFBFBD><EFBFBD>枂<EFBFBD>Ｘ𠯫<EFBFBD>蠘恣蝞𦯀<EFBFBD><EFBFBD>Ｗ予<EFBFBD>?

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# 霈∠<E99C88>雿誯堺憭拇㺭
df['admission_date'] = pd.to_datetime(df['admission_date'])
df['discharge_date'] = pd.to_datetime(df['discharge_date'])
df['length_of_stay'] = (df['discharge_date'] - df['admission_date']).dt.days

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• <EFBFBD><EFBFBD><EFBFBD><EFBFBD>交<EFBFBD><EFBFBD>𡑒蓮銝榛atetime蝐餃<EFBFBD>
• <EFBFBD>交<EFBFBD><EFBFBD>詨<EFBFBD>敺堒<EFBFBD>Timedelta撖寡情
• .dt.days<79>𣂼<EFBFBD>憭拇㺭

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• <EFBFBD>啣<EFBFBD>length_of_stay<EFBFBD>?
• <EFBFBD>啣<EFBFBD>潛掩<EFBFBD>页<EFBFBD><EFBFBD>蓥<EFBFBD>銝箏予

<EFBFBD>餌<EFBFBD>摨𠉛鍂:

• 雿誯堺憭拇㺭<EFBFBD><EFBFBD><EFBFBD>
• 撟喳<EFBFBD>雿誯堺<EFBFBD>?ALOS)蝏蠘恣
• 雿誯堺韐寧鍂<EFBFBD>詨<EFBFBD><EFBFBD>批<EFBFBD><EFBFBD>?

<EFBFBD>拙<EFBFBD><EFBFBD>箸艶:

• 霈∠<EFBFBD>撟湧<EFBFBD>: (隞𠰴予 - <20>箇<EFBFBD><E7AE87>交<EFBFBD>) / 365.25
• <EFBFBD>讛挪<EFBFBD>園𡢿: (<28>讛挪<E8AE9B>交<EFBFBD> - <20>箇瑪<E7AE87>交<EFBFBD>)
• <EFBFBD>笔<EFBFBD><EFBFBD>園𡢿: (甇颱滿/<2F>急活<E680A5>讛挪 - 蝖株<E89D96><E6A0AA>交<EFBFBD>)

---

蝷箔<EFBFBD>7: <20>∩辣蝑偦<E89D91>㚁<EFBFBD><E39A81>亦<EFBFBD><E4BAA6><EFBFBD><EFBFBD>嚗?

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

蝑偦<EFBFBD>匧枂撟湧<EFBFBD><EFBFBD>?8撗<38><E69297><EFBFBD><EFBFBD><EFBFBD>凋蛹蝟硋倏<E7A18B><E5808F><EFBFBD><EFBFBD><EFBFBD>銵<EFBFBD>蝟砽竉7.0<EFBFBD><EFBFBD><EFBFBD><EFBFBD>?

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# 憭𡁏辺隞嗥<E99A9E><E597A5>?
df_selected = df[
    (df['age'] >= 18) & 
    (df['diagnosis'] == '蝟硋倏<E7A18B>?) & 
    (df['glucose'] >= 7.0)
]

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• 撣<EFBFBD><EFBFBD>蝝Ｗ<EFBFBD>嚗<EFBFBD><EFBFBD><EFBFBD>∩辣<EFBFBD>?餈墧𦻖
• 瘥譍葵<EFBFBD>∩辣<EFBFBD><EFBFBD><EFBFBD>䭾𡠺<EFBFBD>?
• 餈𥪜<EFBFBD>皛∟雲<EFBFBD><EFBFBD><EFBFBD>㗇辺隞嗥<EFBFBD>銵?

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• <EFBFBD>蚤ataFrame嚗<EFBFBD><EFBFBD><EFBFBD>怎泵<EFBFBD><EFBFBD>辺隞嗥<EFBFBD><EFBFBD><EFBFBD><EFBFBD>
• <EFBFBD>篼f銝滚<EFBFBD>

銝游<EFBFBD><EFBFBD>𠉛弦摨𠉛鍂:

• 蝥喳<EFBFBD><EFBFBD><EFBFBD><EFBFBD>蝑偦<EFBFBD>?
• <EFBFBD>㘾膄<EFBFBD><EFBFBD><EFBFBD><EFBFBD>娪膄
• 鈭𡁶<EFBFBD><EFBFBD><EFBFBD><EFBFBD>嚗<EFBFBD><EFBFBD><EFBFBD><EFBFBD>僑蝟硋倏<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>

<EFBFBD>拙<EFBFBD><EFBFBD>箸艶:

# 蝥喳<E89DA5><E596B3><EFBFBD><EFBFBD>
included = df[
    (df['age'] >= 18) & 
    (df['age'] <= 75) &
    (df['diagnosis'].isin(['<27>箄<EFBFBD><E7AE84>?, '<EFBFBD>粹<EFBFBD><EFBFBD>?])) &
    (df['stage'].isin(['III', 'IV']))
]

# <20>㘾膄<E398BE><E88684><EFBFBD>
excluded = df[
    (df['pregnancy'] == 1) |  # 憒𠰴<E68692>
    (df['severe_liver'] == 1) |  # 銝仿<E98A9D><E4BBBF>萘<EFBFBD>
    (df['other_cancer'] == 1)  # <20>嗡<EFBFBD><E597A1>輻𠈔
]

---

<EFBFBD>𥈡 Level 4: 擃条漣<E69DA1>唳旿瘝餌<E7989D>嚗?銝迎<E98A9D>

蝷箔<EFBFBD>8: 蝞<><E89D9E>閧撩憭勗<E686AD>澆‵銵?

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>其葉雿齿㺭憛怨‘BMI<EFBFBD>㛖<EFBFBD>蝻箏仃<EFBFBD>?

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# <20>其葉雿齿㺭憛怨‘蝻箏仃<E7AE8F>?
bmi_median = df['BMI'].median()
df['BMI'] = df['BMI'].fillna(bmi_median)

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• median()霈∠<E99C88>銝凋<E98A9D><E5878B>堆<EFBFBD><E5A086>㘾膄NaN嚗?
• fillna()憛怨‘蝻箏仃<E7AE8F>?
• 銝凋<EFBFBD><EFBFBD>啣<EFBFBD>蝳餌黎<EFBFBD>澆蔣<EFBFBD>滚<EFBFBD>

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• BMI<EFBFBD>埈<EFBFBD>蝻箏仃<EFBFBD>?
• 蝻箏仃雿滨蔭鋡思葉雿齿㺭<EFBFBD>蹂誨

憛怨‘<EFBFBD>寞<EFBFBD><EFBFBD>㗇𥋘:

<EFBFBD>寞<EFBFBD>	<EFBFBD><EFBFBD>鍂<EFBFBD>箸艶	隡条<EFBFBD>	蝻箇<EFBFBD>
<EFBFBD><EFBFBD><EFBFBD>?	甇<EFBFBD><EFBFBD><EFBFBD><EFBFBD>撣?	蝞<EFBFBD><EFBFBD>?	<EFBFBD>㛖氖蝢文<EFBFBD>澆蔣<EFBFBD>?
銝凋<EFBFBD><EFBFBD>?	<EFBFBD>𤩺<EFBFBD><EFBFBD><EFBFBD>撣?	蝔喳<EFBFBD>	靽⊥<EFBFBD><EFBFBD>笔仃
隡埈㺭	<EFBFBD><EFBFBD>掩<EFBFBD>㗛<EFBFBD>	靽萘<EFBFBD><EFBFBD><EFBFBD><EFBFBD>	<EFBFBD>航<EFBFBD>銝滚<EFBFBD><EFBFBD>?
<EFBFBD>滚<EFBFBD>憛怠<EFBFBD>	<EFBFBD>園𡢿摨誩<EFBFBD>	靽萘<EFBFBD>頞见飵	隞<EFBFBD><EFBFBD><EFBFBD>鍂<EFBFBD>嗅<EFBFBD>

瘜冽<EFBFBD>鈭钅★:

• <EFBFBD>𩤃<EFBFBD> 隞<><E99A9E><EFBFBD>鍂鈭𡒊撩憭梁<E686AD><5%
• <EFBFBD>𩤃<EFBFBD> <20><>挽蝻箏仃銝撤CAR嚗<52><E59A97><EFBFBD>券<EFBFBD><E588B8>箇撩憭梧<E686AD>
• <EFBFBD>𩤃<EFBFBD> <20>航<EFBFBD>雿𦒘摯<F0A69298><E691AF><EFBFBD>撌?

---

蝷箔<EFBFBD>9: 憭𡁻<E686AD><F0A181BB>坿‘嚗㇈ICE嚗争<E59A97> <20>詨<EFBFBD><E8A9A8>箸艶

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

雿輻鍂憭𡁻<EFBFBD><EFBFBD>坿‘瘜訫笆BMI<EFBFBD><EFBFBD>僑樴<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>𣂼<EFBFBD><EFBFBD><EFBFBD>撩憭勗<EFBFBD>潸<EFBFBD>銵<EFBFBD>‵銵?

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

from sklearn.experimental import enable_iterative_imputer
from sklearn.impute import IterativeImputer

# <20>㗇𥋘<E39787><F0A58B98>閬<EFBFBD><E996AC>銵亦<E98AB5><E4BAA6>啣<EFBFBD>澆<EFBFBD>
cols = ['BMI', 'age', 'creatinine']

# 憭𡁻<E686AD><F0A181BB>坿‘
imputer = IterativeImputer(max_iter=10, random_state=0)
df[cols] = imputer.fit_transform(df[cols])

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• MICE (Multivariate Imputation by Chained Equations)
• <EFBFBD>拍鍂<EFBFBD>㗛<EFBFBD><EFBFBD>渡㮾<EFBFBD>單<EFBFBD>折<EFBFBD>瘚讠撩憭勗<EFBFBD>?
• max_iter=10: <20><>憭朞翮隞?0甈?
• random_state=0: <20>臬<EFBFBD><E887AC>啁<EFBFBD><E59581>?

蝞埈<EFBFBD><EFBFBD>毺<EFBFBD>:

1. <EFBFBD>嘥<EFBFBD>憛怨‘嚗<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>潘<EFBFBD>
2. 敺芰㴓餈凋誨嚗?
   • 撖寞<EFBFBD>銝芣<EFBFBD>蝻箏仃<EFBFBD><EFBFBD><EFBFBD><EFBFBD>𧶏<EFBFBD><EFBFBD>典<EFBFBD>隞硋<EFBFBD><EFBFBD>誯<EFBFBD>瘚?
   • <EFBFBD>湔鰵憛怨‘<EFBFBD>?
3. <EFBFBD>嗆<EFBFBD><EFBFBD>𤾸<EFBFBD>甇?

<EFBFBD><EFBFBD>鍂<EFBFBD>箸艶:

• <EFBFBD>?蝻箏仃<E7AE8F>?%-30%
• <EFBFBD>?蝻箏仃<E7AE8F>箏<EFBFBD>銝撤AR嚗<52><E59A97><EFBFBD>箇撩憭梧<E686AD>
• <EFBFBD>?<3F>㗛<EFBFBD><E3979B>游<EFBFBD><E6B8B8>函㮾<E587BD>單<EFBFBD>?
• <EFBFBD>?<3F><>閬<EFBFBD><E996AC><EFBFBD><EFBFBD>㺭<EFBFBD>桀<EFBFBD>撣<EFBFBD>鸌敺?

隡睃飵:

• <EFBFBD>拍鍂<EFBFBD>㗛<EFBFBD><EFBFBD>游<EFBFBD>蝟?
• 靽脲<EFBFBD><EFBFBD>唳旿<EFBFBD><EFBFBD><EFBFBD>
• <EFBFBD>誩<EFBFBD><EFBFBD>誩榆
• 蝏蠘恣摮虫<EFBFBD><EFBFBD>游<EFBFBD><EFBFBD>?

**vs 蝞<><E89D9E>訫‵銵?*:

<EFBFBD><EFBFBD><EFBFBD>	蝞<EFBFBD><EFBFBD>訫‵銵?	憭𡁻<EFBFBD><EFBFBD>坿‘
憭齿<EFBFBD>摨?	雿?	銝剔<EFBFBD>
霈∠<EFBFBD><EFBFBD>園𡢿	敹?	颲<EFBFBD><EFBFBD>
<EFBFBD>誩榆	<EFBFBD>航<EFBFBD>颲<EFBFBD>之	颲<EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD>霂?	雿𦒘摯	<EFBFBD><EFBFBD>＆
<EFBFBD><EFBFBD><EFBFBD>靽脲<EFBFBD>	撌?	憟?

瘜冽<EFBFBD>鈭钅★:

• 隞<EFBFBD><EFBFBD><EFBFBD>鍂鈭擧㺭<EFBFBD>澆<EFBFBD><EFBFBD>?
• <EFBFBD><EFBFBD>掩<EFBFBD>㗛<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>?
• 憒<EFBFBD><EFBFBD><EFBFBD>園𡢿<EFBFBD>㗛<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>蓮<EFBFBD>?

---

蝷箔<EFBFBD>10: <20>箄<EFBFBD><E7AE84>駁<EFBFBD>

<EFBFBD>冽<EFBFBD><EFBFBD><EFBFBD>誘:

<EFBFBD>㗇<EFBFBD><EFBFBD><EFBFBD>D<EFBFBD>駁<EFBFBD>嚗䔶<EFBFBD><EFBFBD>蹱<EFBFBD><EFBFBD>交𠯫<EFBFBD><EFBFBD><EFBFBD><EFBFBD>啁<EFBFBD>霈啣<EFBFBD>

AI<EFBFBD><EFBFBD><EFBFBD>隞<EFBFBD><EFBFBD>:

# <20>箄<EFBFBD><E7AE84>駁<EFBFBD>嚗𡁜<E59A97><F0A1819C>㗇𠯫<E39787><F0A0AFAB><EFBFBD>摨𧶏<E691A8><F0A7B68F>齿<EFBFBD>ID<49>駁<EFBFBD>靽萘<E99DBD><E89098><EFBFBD><EFBFBD>𦒘<EFBFBD><F0A69298>?
df['check_date'] = pd.to_datetime(df['check_date'])
df = df.sort_values('check_date').drop_duplicates(subset=['patient_id'], keep='last')

隞<EFBFBD><EFBFBD>霂湔<EFBFBD>:

• sort_values()<29><><EFBFBD><EFBFBD>交<EFBFBD><E4BAA4><EFBFBD><EFBFBD><EFBFBD>鍦<EFBFBD>
• drop_duplicates()<29>纺atient_id<69>駁<EFBFBD>
• keep='last'靽萘<E99DBD><E89098><EFBFBD><EFBFBD>𦒘<EFBFBD><F0A69298>∴<EFBFBD><E288B4>單<EFBFBD><E596AE>唳𠯫<E594B3><F0A0AFAB><EFBFBD>

憸<EFBFBD><EFBFBD>蝏𤘪<EFBFBD>:

• 瘥譍葵<EFBFBD><EFBFBD><EFBFBD><EFBFBD>蘨靽萘<EFBFBD>銝<EFBFBD><EFBFBD>∟扇敶?
• 靽萘<EFBFBD><EFBFBD><EFBFBD>糓璉<EFBFBD><EFBFBD>交𠯫<EFBFBD><EFBFBD><EFBFBD><EFBFBD>啁<EFBFBD><EFBFBD><EFBFBD>辺

<EFBFBD>拙<EFBFBD><EFBFBD>箸艶:

*<EFBFBD>箸艶1: 靽萘<E99DBD><E89098>唳旿<E594B3><E697BF>摰峕㟲<E5B395><E39FB2>扇敶?

# 霈∠<E99C88>瘥讛<E798A5><E8AE9B><EFBFBD><EFBFBD><EFBFBD>游漲
df['completeness'] = df.notna().sum(axis=1)
df = df.sort_values('completeness', ascending=False).drop_duplicates(subset=['patient_id'], keep='first')

*<EFBFBD>箸艶2: 憭𡁜<E686AD>畾萇<E795BE><E89087><EFBFBD>縧<EFBFBD>?

# <20>㗇<EFBFBD><E39787><EFBFBD>D+撠梯<E692A0><E6A2AF>交<EFBFBD><E4BAA4>駁<EFBFBD>
df = df.drop_duplicates(subset=['patient_id', 'visit_date'], keep='first')

<EFBFBD>箸艶3: 憭齿<E686AD><E9BDBF>餉<EFBFBD><E9A489>駁<EFBFBD>

# 隡睃<E99AA1>蝥改<E89DA5><E694B9>交<EFBFBD><E4BAA4><EFBFBD><EFBFBD>?> 摰峕㟲摨行<E691A8>擃?
df = df.sort_values(['check_date', 'completeness'], ascending=[False, False]).drop_duplicates(subset=['patient_id'], keep='first')

<EFBFBD>餌<EFBFBD><EFBFBD>箸艶:

• <EFBFBD>𣳇膄<EFBFBD>滚<EFBFBD>敶訫<EFBFBD><EFBFBD><EFBFBD><EFBFBD>靘?
• 憭𡁏活撠梯<EFBFBD><EFBFBD>㚚<EFBFBD>甈?<3F>急活
• 璉<EFBFBD>撉𣬚<EFBFBD><EFBFBD>𨅯縧<EFBFBD>㵪<EFBFBD><EFBFBD>𡝗<EFBFBD><EFBFBD>堆<EFBFBD>

---

<EFBFBD><EFBFBD> 雿輻鍂霂湔<E99C82>

System Prompt<70><74><EFBFBD><EFBFBD>孵<EFBFBD>

system_prompt = f"""
雿䭾糓<EFBFBD>餌<EFBFBD>蝘𤑳<EFBFBD><EFBFBD>唳旿皜<EFBFBD><EFBFBD>銝枏振嚗諹<EFBFBD>韐<EFBFBD><EFBFBD><EFBFBD>辥andas隞<EFBFBD><EFBFBD><EFBFBD>交<EFBFBD>瘣埈㟲<EFBFBD><EFBFBD>㺭<EFBFBD>柴<EFBFBD>?

## 敶枏<E695B6><E69E8F>唳旿<E594B3><E697BF>縑<EFBFBD>?
- <20><>辣<EFBFBD>? {session.fileName}
- 銵峕㺭: {session.totalRows}
- <20>埈㺭: {session.totalCols}
- <20>堒<EFBFBD>: {', '.join(session.columns)}

## 摰匧<E691B0>閫<EFBFBD><E996AB>嚗<EFBFBD>撩<EFBFBD>塚<EFBFBD>
1. <20>芾<EFBFBD><E88ABE>滢<EFBFBD>df<64>㗛<EFBFBD>
2. 蝳<>迫撖澆<E69296>os<6F><73>ys蝑匧暒<E58CA7>拇芋<E68B87>?
3. 蝳<>迫雿輻鍂eval<61><6C>xec蝑匧暒<E58CA7>拙遆<E68B99>?
4. 敹<>◆餈𥡝<E9A488>撘<EFBFBD>虜憭<E8999C><E686AD>
5. 餈𥪜<E9A488><F0A5AA9C>澆<EFBFBD>: {{"code": "...", "explanation": "..."}}

## Few-shot蝷箔<E89DB7>

### 蝷箔<E89DB7>1: 蝏煺<E89D8F>蝻箏仃<E7AE8F>潭<EFBFBD>霈?
<EFBFBD>冽<EFBFBD>: <20>𦠜<EFBFBD><F0A6A09C>劐誨銵函撩憭梁<E686AD>蝚血噡蝏煺<E89D8F><E785BA>踵揢銝箸<E98A9D><E7AEB8><EFBFBD>征<EFBFBD>?
隞<EFBFBD><EFBFBD>:
```python
df = df.replace(['-', '銝滩祕', 'NA', 'N/A'], np.nan)

蝷箔<EFBFBD>2: <20>啣<EFBFBD>澆<EFBFBD>皜<EFBFBD><E79A9C>

<EFBFBD>冽<EFBFBD>: <20>𡃏<EFBFBD><F0A1838F>𣂼<EFBFBD><F0A382BC>𣬚<EFBFBD><F0A3AC9A>墧㺭摮㛖泵<E39B96>瑕縧<E79195>㚁<EFBFBD>頧砌蛹<E7A08C>啣<EFBFBD>潛掩<E6BD9B>? 隞<><E99A9E>:

df['creatinine'] = df['creatinine'].astype(str).str.replace('>', '').str.replace('<', '')
df['creatinine'] = pd.to_numeric(df['creatinine'], errors='coerce')

[... <20>嗡<EFBFBD>8銝芰內靘?...]

<EFBFBD>冽<EFBFBD>敶枏<EFBFBD>霂瑟<EFBFBD>

{user_message}

霂瑞<EFBFBD><EFBFBD>𣂷誨<EFBFBD><EFBFBD>僎閫<EFBFBD><EFBFBD><EFBFBD>? """

---

## <20>㴓 韐券<E99F90><E588B8><EFBFBD><EFBFBD>

瘥譍葵蝷箔<E89DB7>敹<EFBFBD>◆皛∟雲嚗?
- <20>?隞<><E99A9E><EFBFBD>舐凒<E88890>亥<EFBFBD>銵?
- <20>?<3F>㕑祕蝏<E7A595>釣<EFBFBD>?
- <20>?<3F>㗇<EFBFBD>蝖桃<E89D96>颲枏<E9A2B2>颲枏枂
- <20>?蝚血<E89D9A>Python<6F><6E>雿喳<E99BBF>頝?
- <20>?<3F><><EFBFBD>撘<EFBFBD>虜<EFBFBD><E8999C><EFBFBD>
- <20>?<3F>匧龫<E58CA7>堒㦤<E5A092>航秩<E888AA>?

---

## <20><> 瘚贝<E7989A><E8B49D>其<EFBFBD>霈曇恣

<0A>箔<EFBFBD>餈?0銝芰內靘页<E99D98>Day 3瘚贝<E7989A>摨𥪜<E691A8><F0A5AA9C>恬<EFBFBD>

**<2A>箇<EFBFBD>瘚贝<E7989A>嚗?銝迎<E98A9D>**:
1. 蝷箔<E89DB7>1瘚贝<E7989A>嚗<EFBFBD>撩憭勗<E686AD>潛<EFBFBD>銝<EFBFBD>嚗?
2. 蝷箔<E89DB7>2瘚贝<E7989A>嚗<EFBFBD>㺭<EFBFBD>潭<EFBFBD>瘣梹<E798A3>
3. 蝷箔<E89DB7>3瘚贝<E7989A>嚗<EFBFBD><E59A97>批<EFBFBD>蝻𣇉<E89DBB>嚗?
4. 蝷箔<E89DB7>4瘚贝<E7989A>嚗<EFBFBD>僑樴<E58391><E6A8B4>蝏<EFBFBD><E89D8F>

**銝剔漣瘚贝<E7989A>嚗?銝迎<E98A9D>**:
5. 蝷箔<E89DB7>5瘚贝<E7989A>嚗㇂MI霈∠<E99C88>嚗?
6. 蝷箔<E89DB7>6瘚贝<E7989A>嚗<EFBFBD><E59A97><EFBFBD>Ｗ予<EFBCB7>堆<EFBFBD>
7. 蝷箔<E89DB7>7瘚贝<E7989A>嚗<EFBFBD>辺隞嗥<E99A9E><E597A5>㚁<EFBFBD>

**擃条漣瘚贝<E7989A>嚗?銝迎<E98A9D>**:
8. 蝷箔<E89DB7>8瘚贝<E7989A>嚗<EFBFBD>葉雿齿㺭憛怨‘嚗?
9. 蝷箔<E89DB7>9瘚贝<E7989A>嚗<EFBFBD><E59A97><EFBFBD>齿<EFBFBD>銵伐<E98AB5>潃?
10. 蝷箔<E89DB7>10瘚贝<E7989A>嚗<EFBFBD>惣<EFBFBD>賢縧<E8B3A2>㵪<EFBFBD>

**<2A>拙<EFBFBD>瘚贝<E7989A>嚗?銝迎<E98A9D>**:
11. 瘛瑕<E7989B><E79195>箸艶瘚贝<E7989A>嚗<EFBFBD><E59A97>皜<EFBFBD><E79A9C><EFBFBD>滩恣蝞梹<E89D9E>
12. <20>躰秤<E8BAB0>箸艶瘚贝<E7989A>嚗<EFBFBD><E59A97>銝滚<E98A9D><E6BB9A>剁<EFBFBD>
13. 颲寧<E9A2B2><E5AFA7>箸艶瘚贝<E7989A>嚗<EFBFBD><E59A97><EFBFBD>函撩憭梧<E686AD>
14. <20>芣<EFBFBD>靽格迤瘚贝<E7989A>嚗<EFBFBD>誨<EFBFBD><E8AAA8>𥁒<EFBFBD>坔<EFBFBD><E59D94>滩<EFBFBD>嚗?
15. 蝡臬<E89DA1>蝡舀<E89DA1>霂𤏪<E99C82>銝𠹺<E98A9D><F0A0B9BA>𡒶I憭<49><E686AD><EFBFBD>垍<EFBFBD><E59E8D>𣈯<EFBFBD>霂<EFBFBD><E99C82>

---

## <20><> 蝏湔擪霈啣<E99C88>

| <20>交<EFBFBD> | <20><>𧋦 | 靽格㺿<E6A0BC><E3BABF>捆 | 靽格㺿鈭?|
|------|------|---------|--------|
| 2025-12-06 | V1.0 | <20>嘥<EFBFBD><E598A5>𥕦遣嚗?0銝芣瓲敹<E793B2>內靘?| AI Assistant |

---

**<2A><>﹝<EFBFBD>嗆<EFBFBD>?*: <20>?撌脩＆霈? 
**銝衤<E98A9D>甇?*: 撘<>憪𠵿ay 3撘<33><E69298>𡢅<EFBFBD>AICodeService摰䂿緵嚗?