patient_id = recordpath.split('/')[-1][:-4]什么意思
时间: 2023-11-23 21:06:00 浏览: 25
这行代码的意思是从recordpath路径中获取最后一个斜杠后面的字符串,然后去掉后面的四个字符(通常是文件扩展名),得到一个病人的ID。例如,如果recordpath是"/home/user/records/patient001.txt",则patient_id将被设置为"patient001"。
相关问题
select * from ( SELECT P.PATIENT_ID, P.VISIT_ID, PM.NAME, PM.SEX, P.ADMISSION_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_ADMISSION_TO ) AS DEPT_ADM, P.DISCHARGE_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_DISCHARGE_FROM ) AS DEPT_DIS, DATEDIFF( DAY, P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) AS INPAT_DAYS, P.DOCTOR_IN_CHARGE --datediff(day, P.ADMISSION_DATE_TIME,P.DISCHARGE_DATE_TIME) as zyts FROM PAT_VISIT P INNER JOIN PAT_MASTER_INDEX PM ON PM.PATIENT_ID = P.PATIENT_ID WHERE select * from ( SELECT P.PATIENT_ID, P.VISIT_ID, PM.NAME, PM.SEX, P.ADMISSION_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_ADMISSION_TO ) AS DEPT_ADM, P.DISCHARGE_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_DISCHARGE_FROM ) AS DEPT_DIS, DATEDIFF( DAY, P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) AS INPAT_DAYS, P.DOCTOR_IN_CHARGE --datediff(day, P.ADMISSION_DATE_TIME,P.DISCHARGE_DATE_TIME) as zyts FROM PAT_VISIT P INNER JOIN PAT_MASTER_INDEX PM ON PM.PATIENT_ID = P.PATIENT_ID WHERE P.DISCHARGE_DATE_TIME >= '2016-01-01' AND P.DISCHARGE_DATE_TIME < = '2023-07-10' AND DATEDIFF( DAY,P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) >= 30 ) t order by inpat_days desc P.DISCHARGE_DATE_TIME >= '2016-01-01' AND P.DISCHARGE_DATE_TIME < = '2023-07-10' AND DATEDIFF( DAY,P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) >= 30 ) t order by inpat_days desc 帮我把这段sql优化一下
这段 SQL 查询语句可以进行一些优化,例如使用表别名、避免多次嵌套子查询等。下面是优化后的 SQL 查询语句:
```sql
SELECT
P.PATIENT_ID,
P.VISIT_ID,
PM.NAME,
PM.SEX,
P.ADMISSION_DATE_TIME,
DP_ADM.DEPT_NAME AS DEPT_ADM,
P.DISCHARGE_DATE_TIME,
DP_DIS.DEPT_NAME AS DEPT_DIS,
DATEDIFF(DAY, P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME) AS INPAT_DAYS,
P.DOCTOR_IN_CHARGE
FROM
PAT_VISIT P
INNER JOIN PAT_MASTER_INDEX PM ON PM.PATIENT_ID = P.PATIENT_ID
LEFT JOIN DEPT_DICT DP_ADM ON DP_ADM.DEPT_CODE = P.DEPT_ADMISSION_TO
LEFT JOIN DEPT_DICT DP_DIS ON DP_DIS.DEPT_CODE = P.DEPT_DISCHARGE_FROM
WHERE
P.DISCHARGE_DATE_TIME >= '2016-01-01'
AND P.DISCHARGE_DATE_TIME <= '2023-07-10'
AND DATEDIFF(DAY, P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME) >= 30
ORDER BY
INPAT_DAYS DESC;
```
此优化后的查询使用了表别名,将子查询转换为了左连接,并通过 JOIN 操作将 DEPT_DICT 表连接到主查询中,以减少子查询的数量。同时,将过滤条件放在 WHERE 子句中,使用了统一的日期格式。
请注意,优化 SQL 语句时需要考虑数据库的具体情况和索引的使用,这只是一个基本的优化示例,具体优化策略可能需要根据实际情况进行调整。
# 加载数据集 data_dir =r"C:\Users\HP\Desktop\image\save" patients = os.listdir(data_dir) images = [] for patient in patients: patient_dir = os.path.join(data_dir, patient) imgs = os.listdir(patient_dir) for img_name in imgs: img_path = os.path.join(patient_dir, img_name) img = cv2.imread(img_path) img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) img_gray = cv2.resize(img_gray, (256, 256)) img_gray = img_gray / 255.0 images.append(img_gray) images = np.array(images) images = np.reshape(images, (-1, 256, 256, 1)) 如何修改这段代码使得这段代码可以读取save文件夹下面所有病人的图片
您可以使用 os.walk() 函数来遍历 save 文件夹下的所有子文件夹和文件,然后根据文件名中的信息来判断是否是病人的图片。以下是修改后的代码:
```
import os
import cv2
import numpy as np
data_dir = r"C:\Users\HP\Desktop\image\save"
images = []
for root, dirs, files in os.walk(data_dir):
for file in files:
if "patient" in file: # 判断文件名中是否包含病人信息
img_path = os.path.join(root, file)
img = cv2.imread(img_path)
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img_gray = cv2.resize(img_gray, (256, 256))
img_gray = img_gray / 255.0
images.append(img_gray)
images = np.array(images)
images = np.reshape(images, (-1, 256, 256, 1))
```
这样可以读取 save 文件夹下所有病人的图片,不论这些图片在哪个子文件夹下。