hospital | An automated runbook system for treating known failures | Continous Integration library

I have a dataset of individuals (CSN), each of whom has had anywhere from zero to multiple interventions performed during a hospital admission (in this case, central lines placed), each with a start and an end date. I am trying to generate a new date range that will calculate any overlapping dates. In other words, I'm trying to calculate the total date range when an individual had a central line in place.

Data for example:

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when I use Hospital as a parameter of onChangeEvent in Dropdown Flutter gives this erroe :

The argument type 'void Function(Hospital)' can't be assigned to the parameter type 'void Function(Object?)?'.

Hospital

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I am trying to match two tables as below.

Table 1:

Article Title ID Number University B: Genetic Mutations in Cancer Cells 1 First line Treatments in Lung Cancer by University A 2 Lung Cancer Cases in Hospital of University B 3 First line Treatments in Breast Cancer (Institute C) 4

Table 2:

University Name Keyword University of ABC University B University of BCD University A University of CDE Institute C

I want to add a column of University Name to Table 1, based on the keywords search in the article title. Given the keywords are highly similar, and can be found in different location in the article title, Vlookup cannot find the match successfully.

Vlookup (even with the option [true], i.e., not for exact match) cannot find the match correctly.

Are there any other formula or free tools can be used?

Many thanks

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In a 'hospital' collection, there are docs for every department in the hospital. Each document has details like department_name, doctors and nurses assigned for this department. The document structure looks like below:

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This was my earlier question where it was solved using multiple distribution.

I want to plot the continuous variable like age or tumor mutation burden as shown in first figure with a range like a window such 20-30 age group or some mutational burden range

The frequencies are calculated for all the variables of the metadata, but when plotting the age is not mapped to the final plot as show in the second plot.

Does the age need to be converted into other class before plotting?

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I have a set of lab values I want to trend over time in relation to a date of hospital admission. Each patient had variable entry's for this lab/follow up time. My goal is to identify the minimum value of this lab at various time intervals after their admission (date_one in the df) ie day 0-30, day 31-90, 1-2 years, 2-3, 3-4 etc, until their last follow up, in order to help me identity outliers that are a certain threshold above their baseline. As this lab value can change naturally over time I want to find these minimums to establish new baselines. As each patient has variable follow up, some up to 20 years, I was having trouble finding a function to find the local minimums that wasn't using filtering and mutate to make a new column for every interval I desired. My dput output is below, if this is incorrect formatting please let me know!

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who will advise me on the %T>%,

the code is

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As I am just starting to learn the R, I want to re write the below code into the pipe operator way. however, the setting rowname and colname blocked me. I will be grateful if some one can help me, which is highly appreciated!

The original code is detailed as below,

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I have two data frames:

1. The first contains information on hospitalization and has 3706 observations:

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