医院科研管理系统

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LinearRegression

# 数据加载

def load_data(file_path):

return pd.read_csv(file_path)

# 数据清洗

def clean_data(df):

df.dropna(inplace=True)

df['year'] = pd.to_datetime(df['date']).dt.year

return df

# 模型训练

def train_model(X_train, y_train):

model = LinearRegression()

model.fit(X_train, y_train)

return model

五格三才

# 主函数

if __name__ == "__main__":

data = load_data("kunming_research_data.csv")

cleaned_data = clean_data(data)

X = cleaned_data[['year', 'funding']]

y = cleaned_data['publications']

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

model = train_model(X_train, y_train)

print("模型训练完成！")

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