如何找到日期最接近另一个日期的值
How to find the value with date closest to another date
我从事医疗保健工作，需要生成一份报告，显示不同时间点的患者实验室值。时间点如下：
移植前：
1 年 = 365 天 +/- 30 天
3 个月 = 90 天 +/- 14 天
1 个月 = 30 天 +/- 7 天
Post移植：
1 天 = 24 小时 +/- 12 小时
1 周 = 7 天 +/- 1 天
1 个月 = 30 天 +/- 7 天
3 个月 = 90 天 +/- 14 天
6 个月 = 180 天 +/- 30 天
1 年 = 365 天 +/- 30 天
我的数据模型有很多 table（来自 SQL 服务器查询的结果），但主要实验室 table 如下所示：
+-----------------------+-----------------+------------+-----------+
| Order ID | Episode ID | Transplant Date | Lab Date | Lab Value |
+----------+------------+-----------------+------------+-----------+
| 111 | 222 | 5/2/2018 | 1/22/2018 | 23 |
| 112 | 222 | 5/2/2018 | 1/27/2018 | 15 |
| 113 | 222 | 5/2/2018 | 5/3/2018 | 14 |
| 114 | 222 | 5/2/2018 | 10/19/2018 | 12 |
| 115 | 223 | 1/23/2019 | 1/24/2019 | 20 |
| 116 | 223 | 1/23/2019 | 1/25/2019 | 25 |
| 117 | 223 | 1/23/2019 | 1/31/2019 | 29 |
| 118 | 223 | 1/23/2019 | 4/23/2019 | 30 |
| 119 | 223 | 1/23/2019 | 3/1/2019 | 35 |
| 120 | 224 | 7/19/2019 | 7/19/2018 | 5 |
| 121 | 224 | 7/19/2019 | 7/24/2018 | 13 |
+-----------------------+-----------------+------------+-----------+
Order ID 是实验室的唯一标识符，Episode ID 是患者的唯一标识符，我们正在寻找与 Transplant Date.[=22 相关的实验室=]
还有另一个 table 患者数据，看起来像这样：
+------------+----------------+-----------------+
| Episode ID | Patient Name | Transplant Date |
+------------+----------------+-----------------+
| 222 | Alphers, Ralph | 5/2/2018 |
| 223 | Bethe, Hans | 1/23/2019 |
| 224 | Gammow, George | 7/19/2019 |
+------------+----------------+-----------------+
生成的数据应该与此类似：
+------------+------------+--------------+-------------+------------+-------------+--------------+---------------+-------------+
| Episode ID | 1 year pre | 3 months pre | 1 month pre | 1 day post | 1 week post | 1 month post | 6 months post | 1 year post |
+------------+------------+--------------+-------------+------------+-------------+--------------+---------------+-------------+
| 222 | | 15 | | 14 | | | 12 | |
| 223 | | | | 20 | 29 | 35 | | |
| 224 | 5 | | | | | | | |
+------------+------------+--------------+-------------+------------+-------------+--------------+---------------+-------------+
考虑到处理时间（用户体验）和开发复杂性，是否有最佳方法？
现在，我是这样做的。
首先，我使用 Power Query (M) 创建时间点（例如 Table.AddColumn(#"Changed Type", "Minutes to One Year Before Transplant", each Number.Abs(Duration.TotalMinutes(([Lab Date] - DateTime.From(Date.AddYears([Transplant Date], -1))))))）。
然后，我使用 DAX 查找最接近正确目标日期的记录的天数：
Labs shortest minutes to one year before transplant =
VAR EpisodeID = Patients[Episode ID]
VAR TargetDate = DATEADD(Patients[Transplant Date], 1, MONTH)
VAR WindowDays = 30
RETURN
CALCULATE(
MIN(Labs[Minutes to One Month After Transplant]),
FILTER(Labs, Labs[Episode ID] = EpisodeID),
FILTER(Labs, Labs[Lab Date] >= DATEADD(TargetDate, -WindowDays, DAY)),
FILTER(Labs, Labs[Lab Date] <= DATEADD(TargetDate, WindowDays, DAY))
)
然后，我使用该分钟数作为标识符来获取 Order ID
Lab Order ID closest to one year before transplant =
VAR EpisodeID = Patients[Episode ID]
VAR TargetDate = DATEADD(Patients[Transplant Date], 1, MONTH)
VAR WindowDays = 30
VAR DaysFrom = Patients[Labs shortest minutes to one year before transplant]
RETURN
CALCULATE(
MIN(Labs[Order ID]),
FILTER(Labs, Labs[Episode ID] = EpisodeID),
FILTER(Labs, Labs[Lab Date] >= DATEADD(TargetDate, -WindowDays, DAY)),
FILTER(Labs, Labs[Lab Date] <= DATEADD(TargetDate, WindowDays, DAY))
)
最后，我可以使用那个 Order ID 从那个实验室中获取我想要的任何东西，例如值：
Lab Value closest to one year before transplant =
VAR EpisodeID = Patients[Episode ID]
VAR OrderID = Patients[Lab Order ID closest to one year before transplant]
RETURN
CALCULATE(
MIN(Labs[Value]),
FILTER(Labs, Labs[Episode ID] = EpisodeID),
FILTER(Labs, Labs[Order ID] = OrderID)
)
而且，我需要为 3 个不同的实验室执行此操作，这意味着重复此过程大约 30 次。而且，生成的报告需要一些时间来进行计算。我可以将大量工作推回 SQL 服务器，但也许这不是最好的主意？
我能想到的最简单的方法是为每个时间段创建计算列，然后在您想要的任何度量中直接使用它们。例如，对于 1 年前：
1 Year Pre = IF('Table'[Lab Date]>='Table'[Transplant Date]-395 && 'Table'[Lab Date]<='Table'[Transplant Date]-335,'Table'[LabValue],BLANK())
前 3 个月：
3 Months Pre = IF('Table'[Lab Date]>='Table'[Transplant Date]-104 && 'Table'[Lab Date]<='Table'[Transplant Date]-76,'Table'[LabValue],BLANK())
同样，您也可以为其他时间段创建计算列，并使用它们来获得所需的视觉效果。希望这有帮助。
你所有的代码都是 M，所以我不确定你为什么用 SQL 标记它。但这里是 [可能不是最优雅的] SQL 解决方案：
create table labs (
OrderID int not null,
EpisodeID int not null,
TransplantDate date not null,
LabDate date not null,
LabValue int not null)
insert labs
values
(111, 222, cast('5/2/2018' as date), cast('1/22/2018' as date), 23),
(112, 222, cast('5/2/2018' as date), cast('1/27/2018' as date), 15),
(113, 222, cast('5/2/2018' as date), cast('5/3/2018' as date), 14),
(114, 222, cast('5/2/2018' as date), cast('10/19/2018' as date), 12),
(115, 223, cast('1/23/2019' as date), cast('1/24/2019' as date), 20),
(116, 223, cast('1/23/2019' as date), cast('1/25/2019' as date), 25),
(117, 223, cast('1/23/2019' as date), cast('1/31/2019' as date), 29),
(118, 223, cast('1/23/2019' as date), cast('4/23/2019' as date), 30),
(119, 223, cast('1/23/2019' as date), cast('3/1/2019' as date), 35),
(120, 224, cast('7/19/2019' as date), cast('7/19/2018' as date), 5),
(121, 224, cast('7/19/2019' as date), cast('7/24/2018' as date), 13)
create table patient (
EpisodeID int not null,
PatientName varchar(128) not null,
TransplantDate date not null
)
insert patient
values
(222, 'Alphers, Ralph', cast('5/2/2018' as date)),
(223, 'Bethe, Hans', cast('1/23/2019' as date)),
(224, 'Gammow, George', cast('7/19/2019' as date))
select q.EpisodeID
, min(q.[1YrPre] ) as '1YrPre'
, min(q.[3MoPre] ) as '3MoPre'
, min(q.[1MoPre] ) as '1MoPre'
, min(q.[1DayPost]) as '1DayPost'
, min(q.[1WkPost] ) as '1WkPost'
, min(q.[1MoPost] ) as '1MoPost'
, min(q.[3MoPost] ) as '3MoPost'
, min(q.[6MoPost] ) as '6MoPost'
, min(q.[1YrPost] ) as '1YrPost'
from (
select r.OrderID
, r.EpisodeID
, case when r.[1YrPreCheck] = m.[1YrPreCheck] and m.[1YrPreCheck] <= 30 then r.LabValue end as '1YrPre'
, case when r.[3MoPreCheck] = m.[3MoPreCheck] and m.[3MoPreCheck] <= 14 then r.LabValue end as '3MoPre'
, case when r.[1MoPreCheck] = m.[1MoPreCheck] and m.[1MoPreCheck] <= 7 then r.LabValue end as '1MoPre'
, case when r.[1DayPostCheck] = m.[1DayPostCheck] and m.[1DayPostCheck] <= 1 then r.LabValue end as '1DayPost'
, case when r.[1WkPostCheck] = m.[1WkPostCheck] and m.[1WkPostCheck] <= 1 then r.LabValue end as '1WkPost'
, case when r.[1MoPostCheck] = m.[1MoPostCheck] and m.[1MoPostCheck] <= 7 then r.LabValue end as '1MoPost'
, case when r.[6MoPostCheck] = m.[3MoPostCheck] and m.[3MoPostCheck] <= 14 then r.LabValue end as '3MoPost'
, case when r.[6MoPostCheck] = m.[6MoPostCheck] and m.[6MoPostCheck] <= 30 then r.LabValue end as '6MoPost'
, case when r.[1YrPostCheck] = m.[1YrPostCheck] and m.[1YrPostCheck] <= 30 then r.LabValue end as '1YrPost'
from (
select p.EpisodeID
, min(abs(datediff(day, l.LabDate, dateadd(year, -1, p.TransplantDate)))) as '1YrPreCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, -3, p.TransplantDate)))) as '3MoPreCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, -1, p.TransplantDate)))) as '1MoPreCheck'
, min(abs(datediff(day, l.LabDate, dateadd(day, 1, p.TransplantDate)))) as '1DayPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(day, 7, p.TransplantDate)))) as '1WkPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, 1, p.TransplantDate)))) as '1MoPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, 3, p.TransplantDate)))) as '3MoPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, 6, p.TransplantDate)))) as '6MoPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(year, 1, p.TransplantDate)))) as '1YrPostCheck'
from labs l
inner join patient p on p.EpisodeID = l.EpisodeID
group by p.EpisodeID
) m
inner join (
select l.OrderID
, p.EpisodeID
, l.LabValue
, abs(datediff(day, l.LabDate, dateadd(year, -1, p.TransplantDate))) as '1YrPreCheck'
, abs(datediff(day, l.LabDate, dateadd(month, -3, p.TransplantDate))) as '3MoPreCheck'
, abs(datediff(day, l.LabDate, dateadd(month, -1, p.TransplantDate))) as '1MoPreCheck'
, abs(datediff(day, l.LabDate, dateadd(day, 1, p.TransplantDate))) as '1DayPostCheck'
, abs(datediff(day, l.LabDate, dateadd(day, 7, p.TransplantDate))) as '1WkPostCheck'
, abs(datediff(day, l.LabDate, dateadd(month, 1, p.TransplantDate))) as '1MoPostCheck'
, abs(datediff(day, l.LabDate, dateadd(month, 3, p.TransplantDate))) as '3MoPostCheck'
, abs(datediff(day, l.LabDate, dateadd(month, 6, p.TransplantDate))) as '6MoPostCheck'
, abs(datediff(day, l.LabDate, dateadd(year, 1, p.TransplantDate))) as '1YrPostCheck'
from labs l
inner join patient p on p.EpisodeID = l.EpisodeID
) r on r.EpisodeID = m.EpisodeID
)q
group by q.EpisodeID
我会把它放在评论下，但我需要更多的声望点才能发表评论。也许主持人可以为我移动这个。
首先，
1 - 您需要确定当实验室不属于上述任何类别时该怎么做。例如，如果实验室日期是 6 个月，您会怎么做。您希望在哪里报告 6 个月的实验室？在上面的示例中，您丢失了 EpisodeID 222 中的一些数据。根据我的经验，您应该在某处报告它 - 即使它是一个需要调查的综合桶。
2 - 当您在同一时间段有 2 份报告时，您需要确定要做什么。使用 EpisodeID 222，您将看到在前 90 天内有 2 个实验室。 1月22日和1月27日都属于那个时期。
3 - 您在两个表中有相似的数据。 TransplantDate 应该只在您的 PatientTable
中
最好的选择是简单的数据透视表（交叉表）查询。如果您可以通过回答上面的 1 和 2 更好地定义您的数据，那么您将更进一步地完成这项工作。
由于对之前关于数据的回答的回应，我添加了一个不同的回答。
我会制作一个 table 带有日期落入的桶。这样，如果有人请求不同的桶，添加起来很简单。
CREATE TABLE [dbo].[table_Buckets](
[Bucket] [varchar](50) NULL,
[NumDaysLow] [int] NULL,
[NumDaysHigh] [int] NULL
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Pre-1Yr', -395, -335)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Pre-3Mth', -105, -75)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Pre-1Mth', -37, -21)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Day', 0, 2)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Wk', 6, 8)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Mth', 21, 37)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-3Mth', 76, 104)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-6Mth', 150, 210)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Yr', 335, 395)
GO
现在您可以 运行 以下 sql 查询将获取数据，将桶日期放入剧集，获取每个桶的最小数字，然后旋转 table到您想要的视图。您将必须围绕此结构设计数据。
select
EpisodeID
,[Pre-1Yr]
,[Pre-3Mth]
,[Pre-1Mth]
,[Post-1Day]
,[Post-1Wk]
,[Post-1Mth]
,[Post-3Mth]
,[Post-6Mth]
,[Post-1Yr]
from
(
--this select statement takes the lowest value if there are more than one value per bucket
select main.EpisodeID, main.Bucket, min(main.LabValue) as LabValue from
(--this select statement assigns the episode to a buckets
select
ml.EpisodeID
, (select Bucket from
table_Buckets
where
NumDaysLow <= datediff(d,pd.TransplantDate, ml.LabDate)
and NumDaysHigh >= datediff(d,pd.TransplantDate, ml.LabDate)
) AS Bucket
, ml.LabValue as LabValue
from
table_MainLab ML,
table_PatientData PD where ml.EpisodeID = pd.EpisodeID
) main
group by EpisodeID, Bucket) s
pivot
(avg(LabValue)
for [Bucket] in
([Pre-1Yr]
,[Pre-3Mth]
,[Pre-1Mth]
,[Post-1Day]
,[Post-1Wk]
,[Post-1Mth]
,[Post-3Mth]
,[Post-6Mth]
,[Post-1Yr])
) as pivottable
我是 posting 的新手，我还没有弄清楚如何将输出放在这个 post :(...我会练习
我从事医疗保健工作，需要生成一份报告，显示不同时间点的患者实验室值。时间点如下：
移植前：
1 年 = 365 天 +/- 30 天
3 个月 = 90 天 +/- 14 天
1 个月 = 30 天 +/- 7 天
Post移植：
1 天 = 24 小时 +/- 12 小时
1 周 = 7 天 +/- 1 天
1 个月 = 30 天 +/- 7 天
3 个月 = 90 天 +/- 14 天
6 个月 = 180 天 +/- 30 天
1 年 = 365 天 +/- 30 天
我的数据模型有很多 table（来自 SQL 服务器查询的结果），但主要实验室 table 如下所示：
+-----------------------+-----------------+------------+-----------+
| Order ID | Episode ID | Transplant Date | Lab Date | Lab Value |
+----------+------------+-----------------+------------+-----------+
| 111 | 222 | 5/2/2018 | 1/22/2018 | 23 |
| 112 | 222 | 5/2/2018 | 1/27/2018 | 15 |
| 113 | 222 | 5/2/2018 | 5/3/2018 | 14 |
| 114 | 222 | 5/2/2018 | 10/19/2018 | 12 |
| 115 | 223 | 1/23/2019 | 1/24/2019 | 20 |
| 116 | 223 | 1/23/2019 | 1/25/2019 | 25 |
| 117 | 223 | 1/23/2019 | 1/31/2019 | 29 |
| 118 | 223 | 1/23/2019 | 4/23/2019 | 30 |
| 119 | 223 | 1/23/2019 | 3/1/2019 | 35 |
| 120 | 224 | 7/19/2019 | 7/19/2018 | 5 |
| 121 | 224 | 7/19/2019 | 7/24/2018 | 13 |
+-----------------------+-----------------+------------+-----------+
Order ID 是实验室的唯一标识符，Episode ID 是患者的唯一标识符，我们正在寻找与 Transplant Date.[=22 相关的实验室=]
还有另一个 table 患者数据，看起来像这样：
+------------+----------------+-----------------+
| Episode ID | Patient Name | Transplant Date |
+------------+----------------+-----------------+
| 222 | Alphers, Ralph | 5/2/2018 |
| 223 | Bethe, Hans | 1/23/2019 |
| 224 | Gammow, George | 7/19/2019 |
+------------+----------------+-----------------+
生成的数据应该与此类似：
+------------+------------+--------------+-------------+------------+-------------+--------------+---------------+-------------+
| Episode ID | 1 year pre | 3 months pre | 1 month pre | 1 day post | 1 week post | 1 month post | 6 months post | 1 year post |
+------------+------------+--------------+-------------+------------+-------------+--------------+---------------+-------------+
| 222 | | 15 | | 14 | | | 12 | |
| 223 | | | | 20 | 29 | 35 | | |
| 224 | 5 | | | | | | | |
+------------+------------+--------------+-------------+------------+-------------+--------------+---------------+-------------+
考虑到处理时间（用户体验）和开发复杂性，是否有最佳方法？
现在，我是这样做的。
首先，我使用 Power Query (M) 创建时间点（例如 Table.AddColumn(#"Changed Type", "Minutes to One Year Before Transplant", each Number.Abs(Duration.TotalMinutes(([Lab Date] - DateTime.From(Date.AddYears([Transplant Date], -1))))))）。
然后，我使用 DAX 查找最接近正确目标日期的记录的天数：
Labs shortest minutes to one year before transplant =
VAR EpisodeID = Patients[Episode ID]
VAR TargetDate = DATEADD(Patients[Transplant Date], 1, MONTH)
VAR WindowDays = 30
RETURN
CALCULATE(
MIN(Labs[Minutes to One Month After Transplant]),
FILTER(Labs, Labs[Episode ID] = EpisodeID),
FILTER(Labs, Labs[Lab Date] >= DATEADD(TargetDate, -WindowDays, DAY)),
FILTER(Labs, Labs[Lab Date] <= DATEADD(TargetDate, WindowDays, DAY))
)
然后，我使用该分钟数作为标识符来获取 Order ID
Lab Order ID closest to one year before transplant =
VAR EpisodeID = Patients[Episode ID]
VAR TargetDate = DATEADD(Patients[Transplant Date], 1, MONTH)
VAR WindowDays = 30
VAR DaysFrom = Patients[Labs shortest minutes to one year before transplant]
RETURN
CALCULATE(
MIN(Labs[Order ID]),
FILTER(Labs, Labs[Episode ID] = EpisodeID),
FILTER(Labs, Labs[Lab Date] >= DATEADD(TargetDate, -WindowDays, DAY)),
FILTER(Labs, Labs[Lab Date] <= DATEADD(TargetDate, WindowDays, DAY))
)
最后，我可以使用那个 Order ID 从那个实验室中获取我想要的任何东西，例如值：
Lab Value closest to one year before transplant =
VAR EpisodeID = Patients[Episode ID]
VAR OrderID = Patients[Lab Order ID closest to one year before transplant]
RETURN
CALCULATE(
MIN(Labs[Value]),
FILTER(Labs, Labs[Episode ID] = EpisodeID),
FILTER(Labs, Labs[Order ID] = OrderID)
)
而且，我需要为 3 个不同的实验室执行此操作，这意味着重复此过程大约 30 次。而且，生成的报告需要一些时间来进行计算。我可以将大量工作推回 SQL 服务器，但也许这不是最好的主意？
我能想到的最简单的方法是为每个时间段创建计算列，然后在您想要的任何度量中直接使用它们。例如，对于 1 年前：
1 Year Pre = IF('Table'[Lab Date]>='Table'[Transplant Date]-395 && 'Table'[Lab Date]<='Table'[Transplant Date]-335,'Table'[LabValue],BLANK())
前 3 个月：
3 Months Pre = IF('Table'[Lab Date]>='Table'[Transplant Date]-104 && 'Table'[Lab Date]<='Table'[Transplant Date]-76,'Table'[LabValue],BLANK())
同样，您也可以为其他时间段创建计算列，并使用它们来获得所需的视觉效果。希望这有帮助。
你所有的代码都是 M，所以我不确定你为什么用 SQL 标记它。但这里是 [可能不是最优雅的] SQL 解决方案：
create table labs (
OrderID int not null,
EpisodeID int not null,
TransplantDate date not null,
LabDate date not null,
LabValue int not null)
insert labs
values
(111, 222, cast('5/2/2018' as date), cast('1/22/2018' as date), 23),
(112, 222, cast('5/2/2018' as date), cast('1/27/2018' as date), 15),
(113, 222, cast('5/2/2018' as date), cast('5/3/2018' as date), 14),
(114, 222, cast('5/2/2018' as date), cast('10/19/2018' as date), 12),
(115, 223, cast('1/23/2019' as date), cast('1/24/2019' as date), 20),
(116, 223, cast('1/23/2019' as date), cast('1/25/2019' as date), 25),
(117, 223, cast('1/23/2019' as date), cast('1/31/2019' as date), 29),
(118, 223, cast('1/23/2019' as date), cast('4/23/2019' as date), 30),
(119, 223, cast('1/23/2019' as date), cast('3/1/2019' as date), 35),
(120, 224, cast('7/19/2019' as date), cast('7/19/2018' as date), 5),
(121, 224, cast('7/19/2019' as date), cast('7/24/2018' as date), 13)
create table patient (
EpisodeID int not null,
PatientName varchar(128) not null,
TransplantDate date not null
)
insert patient
values
(222, 'Alphers, Ralph', cast('5/2/2018' as date)),
(223, 'Bethe, Hans', cast('1/23/2019' as date)),
(224, 'Gammow, George', cast('7/19/2019' as date))
select q.EpisodeID
, min(q.[1YrPre] ) as '1YrPre'
, min(q.[3MoPre] ) as '3MoPre'
, min(q.[1MoPre] ) as '1MoPre'
, min(q.[1DayPost]) as '1DayPost'
, min(q.[1WkPost] ) as '1WkPost'
, min(q.[1MoPost] ) as '1MoPost'
, min(q.[3MoPost] ) as '3MoPost'
, min(q.[6MoPost] ) as '6MoPost'
, min(q.[1YrPost] ) as '1YrPost'
from (
select r.OrderID
, r.EpisodeID
, case when r.[1YrPreCheck] = m.[1YrPreCheck] and m.[1YrPreCheck] <= 30 then r.LabValue end as '1YrPre'
, case when r.[3MoPreCheck] = m.[3MoPreCheck] and m.[3MoPreCheck] <= 14 then r.LabValue end as '3MoPre'
, case when r.[1MoPreCheck] = m.[1MoPreCheck] and m.[1MoPreCheck] <= 7 then r.LabValue end as '1MoPre'
, case when r.[1DayPostCheck] = m.[1DayPostCheck] and m.[1DayPostCheck] <= 1 then r.LabValue end as '1DayPost'
, case when r.[1WkPostCheck] = m.[1WkPostCheck] and m.[1WkPostCheck] <= 1 then r.LabValue end as '1WkPost'
, case when r.[1MoPostCheck] = m.[1MoPostCheck] and m.[1MoPostCheck] <= 7 then r.LabValue end as '1MoPost'
, case when r.[6MoPostCheck] = m.[3MoPostCheck] and m.[3MoPostCheck] <= 14 then r.LabValue end as '3MoPost'
, case when r.[6MoPostCheck] = m.[6MoPostCheck] and m.[6MoPostCheck] <= 30 then r.LabValue end as '6MoPost'
, case when r.[1YrPostCheck] = m.[1YrPostCheck] and m.[1YrPostCheck] <= 30 then r.LabValue end as '1YrPost'
from (
select p.EpisodeID
, min(abs(datediff(day, l.LabDate, dateadd(year, -1, p.TransplantDate)))) as '1YrPreCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, -3, p.TransplantDate)))) as '3MoPreCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, -1, p.TransplantDate)))) as '1MoPreCheck'
, min(abs(datediff(day, l.LabDate, dateadd(day, 1, p.TransplantDate)))) as '1DayPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(day, 7, p.TransplantDate)))) as '1WkPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, 1, p.TransplantDate)))) as '1MoPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, 3, p.TransplantDate)))) as '3MoPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(month, 6, p.TransplantDate)))) as '6MoPostCheck'
, min(abs(datediff(day, l.LabDate, dateadd(year, 1, p.TransplantDate)))) as '1YrPostCheck'
from labs l
inner join patient p on p.EpisodeID = l.EpisodeID
group by p.EpisodeID
) m
inner join (
select l.OrderID
, p.EpisodeID
, l.LabValue
, abs(datediff(day, l.LabDate, dateadd(year, -1, p.TransplantDate))) as '1YrPreCheck'
, abs(datediff(day, l.LabDate, dateadd(month, -3, p.TransplantDate))) as '3MoPreCheck'
, abs(datediff(day, l.LabDate, dateadd(month, -1, p.TransplantDate))) as '1MoPreCheck'
, abs(datediff(day, l.LabDate, dateadd(day, 1, p.TransplantDate))) as '1DayPostCheck'
, abs(datediff(day, l.LabDate, dateadd(day, 7, p.TransplantDate))) as '1WkPostCheck'
, abs(datediff(day, l.LabDate, dateadd(month, 1, p.TransplantDate))) as '1MoPostCheck'
, abs(datediff(day, l.LabDate, dateadd(month, 3, p.TransplantDate))) as '3MoPostCheck'
, abs(datediff(day, l.LabDate, dateadd(month, 6, p.TransplantDate))) as '6MoPostCheck'
, abs(datediff(day, l.LabDate, dateadd(year, 1, p.TransplantDate))) as '1YrPostCheck'
from labs l
inner join patient p on p.EpisodeID = l.EpisodeID
) r on r.EpisodeID = m.EpisodeID
)q
group by q.EpisodeID
我会把它放在评论下，但我需要更多的声望点才能发表评论。也许主持人可以为我移动这个。
首先，
1 - 您需要确定当实验室不属于上述任何类别时该怎么做。例如，如果实验室日期是 6 个月，您会怎么做。您希望在哪里报告 6 个月的实验室？在上面的示例中，您丢失了 EpisodeID 222 中的一些数据。根据我的经验，您应该在某处报告它 - 即使它是一个需要调查的综合桶。
2 - 当您在同一时间段有 2 份报告时，您需要确定要做什么。使用 EpisodeID 222，您将看到在前 90 天内有 2 个实验室。 1月22日和1月27日都属于那个时期。
3 - 您在两个表中有相似的数据。 TransplantDate 应该只在您的 PatientTable
中最好的选择是简单的数据透视表（交叉表）查询。如果您可以通过回答上面的 1 和 2 更好地定义您的数据，那么您将更进一步地完成这项工作。
由于对之前关于数据的回答的回应，我添加了一个不同的回答。
我会制作一个 table 带有日期落入的桶。这样，如果有人请求不同的桶，添加起来很简单。
CREATE TABLE [dbo].[table_Buckets](
[Bucket] [varchar](50) NULL,
[NumDaysLow] [int] NULL,
[NumDaysHigh] [int] NULL
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Pre-1Yr', -395, -335)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Pre-3Mth', -105, -75)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Pre-1Mth', -37, -21)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Day', 0, 2)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Wk', 6, 8)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Mth', 21, 37)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-3Mth', 76, 104)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-6Mth', 150, 210)
GO
INSERT [dbo].[table_Buckets] ([Bucket], [NumDaysLow], [NumDaysHigh]) VALUES (N'Post-1Yr', 335, 395)
GO
现在您可以 运行 以下 sql 查询将获取数据，将桶日期放入剧集，获取每个桶的最小数字，然后旋转 table到您想要的视图。您将必须围绕此结构设计数据。
select
EpisodeID
,[Pre-1Yr]
,[Pre-3Mth]
,[Pre-1Mth]
,[Post-1Day]
,[Post-1Wk]
,[Post-1Mth]
,[Post-3Mth]
,[Post-6Mth]
,[Post-1Yr]
from
(
--this select statement takes the lowest value if there are more than one value per bucket
select main.EpisodeID, main.Bucket, min(main.LabValue) as LabValue from
(--this select statement assigns the episode to a buckets
select
ml.EpisodeID
, (select Bucket from
table_Buckets
where
NumDaysLow <= datediff(d,pd.TransplantDate, ml.LabDate)
and NumDaysHigh >= datediff(d,pd.TransplantDate, ml.LabDate)
) AS Bucket
, ml.LabValue as LabValue
from
table_MainLab ML,
table_PatientData PD where ml.EpisodeID = pd.EpisodeID
) main
group by EpisodeID, Bucket) s
pivot
(avg(LabValue)
for [Bucket] in
([Pre-1Yr]
,[Pre-3Mth]
,[Pre-1Mth]
,[Post-1Day]
,[Post-1Wk]
,[Post-1Mth]
,[Post-3Mth]
,[Post-6Mth]
,[Post-1Yr])
) as pivottable
我是 posting 的新手，我还没有弄清楚如何将输出放在这个 post :(...我会练习