icd | Fast ICD-10 and ICD-9 comorbidities

by jackwasey R Version: v3.0.0 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | icd Summary

icd is a R library. icd has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Calculate comorbidities, medical risk scores, and work very quickly and precisely with ICD-9 and ICD-10 codes. This package enables a work flow from raw tables of ICD codes in hospital databases to comorbidities. ICD-9 and ICD-10 comorbidity mappings from Quan (Deyo and Elixhauser versions), Elixhauser and AHRQ included. Common ambiguities and code formats are handled. Comorbidity computation includes Hierarchical Condition Codes, and an implementation of AHRQ Clinical Classifications. Risk scores include those of Charlson and van Walraven. US Clinical Modification, Word Health Organization, Belgian and French ICD-10 codes are supported, most of which are downloaded on demand. icd is used by many researchers around the world who work in public health, epidemiology, clinical research, nutrition, journalism, health administration, insurance, and more. I’m grateful for contact from people in these fields for their feedback and code contributions, and I’m pleased to say that icd has been used in works like the Pulitzer finalist work on maternal death by ProPublica.

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Security

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Support

icd has a low active ecosystem.

It has 221 star(s) with 56 fork(s). There are 31 watchers for this library.

It had no major release in the last 12 months.

There are 49 open issues and 139 have been closed. On average issues are closed in 216 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of icd is v3.0.0

Quality

icd has no bugs reported.

Security

icd has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

icd is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

icd releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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icd Key Features

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icd Examples and Code Snippets

No Code Snippets are available at this moment for icd.

Community Discussions

Trending Discussions on icd

Inner sub sub menus is not displaying

Conversion table replace all elements in other file

Vulkan API calls to GPU drivers

Kusto Query JSON Array Values

create a new column based on filter_at in R

How to flatten a json from an api using pandas

Running 1000 functions gracefully using python multi-processing

Proper JsonObjCodec with Fleece for Complex, Nested Discriminated Unions

Mapping from a different dataframe

How to drop a column in pandas

QUESTION

Inner sub sub menus is not displaying

Asked 2021-Jun-16 at 02:24

I'm using collapse list unstyled class for showing submenus.In that sub sub menus are not showing, only first submenu is displaying but not the second one.

...

ANSWER

Answered 2021-Jun-16 at 02:24

You need to make sure you include jQuery with bootstrap. You can add everything by adding this to your html:

Source https://stackoverflow.com/questions/67995393

QUESTION

Conversion table replace all elements in other file

Asked 2021-Jun-11 at 12:10

I am trying to convert all ICD codes in a tab separated file to Phecodes (based on a ICD-Phecode conversion table tab separated file) for a biology bioinformatics project. I found a good starting point with the code from the below stackoverflow post:

...

ANSWER

Answered 2021-Jun-07 at 14:28

The loop has to be outside of the condition. Ie. you want to check for each column, not only for $1 in a. Consider a more readable multiline format.

Source https://stackoverflow.com/questions/67873367

QUESTION

Vulkan API calls to GPU drivers

Asked 2021-May-28 at 07:56

Background:
I have been eyeing writing an application which needs very basic but fast graphics (just drawing lines and squares), and I'm probably going to use a library such as GLFW, or Vulkano if i'm going with Rust.

I want to understand a specific, and I guess quite practical, detail of the Vulkan API. I understand that GPUs can be quite a complicated topic, but I want to emphasize that I don't have any background in low-level graphics or Vulkan, so I understand if my question cannot be answered, or if my question does not even make sense. I'll try my best to use the correct terminology. I have to admit, I'm not the best at skimming through and looking at large amounts of source code I don't quite understand and still grasp the overall concept, which is why I hope I can find my answer here. I've tried looking at the source code for Vulkan and Mesa drivers, but it bore no fruit.

ORIGINAL Question:
I want to understand how an API call is propagated to the GPU driver.

I have searched around, but couldn't find the specifics I am searching for. The closest posts I've found are these two:
https://softwareengineering.stackexchange.com/questions/279069/how-does-a-program-talk-to-a-graphics-card
https://superuser.com/questions/461022/how-does-the-cpu-and-gpu-interact-in-displaying-computer-graphics

They both mention something similar to "In order to make the GPU do something, you have to make a call via a supported API". I know that, but neither of the two dig into the specifics of how that API call is made. Hopefully, the diagram below illustrates my question.

...

ANSWER

Answered 2021-May-26 at 14:02

You are looking for the Vulkan-Loader/LoaderAndLayerInterface.md documentation.

The app interfaces with The Loader (sometimes called Vulkan RT, or Vulkan Runtime). That is the vulkan-1.dll (or so).

The Loader also has vulkan-1.lib, which is classic dll shim. It is where the loading of core version and WSI commands happens, but you can skip the lib and do it all manually directly from the dll using vkGetInstanceProcAddr.

Then you have ICDs (Installable Client Drivers). Those are something like nvoglv64.dll, and you can have more of them on your PC (e.g. Intel iGPU + NV). The name is arbitrary and vendor specific. The Loader finds them via config files.

Now when you call something to a command obtained with vkGetInstanceProcAddress (which is everything if you use the *.lib only), you get onto a loader trampoline, which calls a chain of layers, after which the relevant ICD (or all of them) are called. Then the callstack is unwound, so it goes the other direction until the returned to the app. The loader mutexes and merges the the input and output to the ICD.

Commands obtained with vkGetDeviceProcAddress are little bit more streamlined, as they do not require to be mutexed or merged and are meant to be passed to the ICD without much intervention from the Loader.

The code is also at the same repo: trampoline.c, and loader.c. It's pretty straightforward; every layer just calls the layer below it. Starts at the trampoline, and ends with the terminator layer which in turn will call the ICD layer.

Source https://stackoverflow.com/questions/67703924

QUESTION

Kusto Query JSON Array Values

Asked 2021-Apr-21 at 18:52

can anyone offer a clue on how to do query values within arrays -- such as below, I want to find all records where

DiscoveredInformationTypes_s Confidence > 80

Can anyone help? How do I query inside this array?

...

ANSWER

Answered 2021-Apr-21 at 18:52

you can use mv-apply: https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/mv-applyoperator

for example:

Source https://stackoverflow.com/questions/67198867

QUESTION

create a new column based on filter_at in R

Asked 2021-Mar-25 at 17:54

I need to create a new yes/no (or 1/0) variable based on a group of existing ICD columns, whichever have specific values that meet the requirement. My current code is: inclusion %>% filter_at(vars("col1", "col2", "col3"), any_vars(. %in% c(49100, 49122, 48911, 404))). However, this will not help me generate the final yes/no variable. Any suggestions?

...

ANSWER

Answered 2021-Mar-25 at 17:54

Instead of using filter_at you could consider using mutate(across(...)) along with an ifelse:

Source https://stackoverflow.com/questions/66803699

QUESTION

How to flatten a json from an api using pandas

Asked 2021-Mar-03 at 22:13

I have a json coming back from an API that I am appending to a list. After I finish making that call I need to flatten that data using pandas. I'm not sure how to do.

Code:

...

ANSWER

Answered 2021-Jan-05 at 18:35

Because the desired result is for the data from each dict in the 'icdcodes' key to have a separate row, the best option is to use pandas.json_normalize.
First create the main dataframe and use pandas.DataFrame.explode('icdcodes'), which will expand the dataframe to have the appropriate number of rows for each 'clientid' based on the number if dicts in 'icdcodes'.
Use .json_normalize() on the 'icdcodes' column, which is a list of dicts, where some the values may also be dicts.
.join the two dataframes and drop the 'icdcodes' column
Use pandas.DataFrame.rename() to rename columns, and pandas.DataFrame.drop() to drop unneeded columns, as necessary.
Also see this answer from SO: Splitting dictionary/list inside a Pandas Column into Separate Columns

Source https://stackoverflow.com/questions/65579568

QUESTION

Running 1000 functions gracefully using python multi-processing

Asked 2021-Feb-01 at 15:16

I'm trying to receive stock data for about 1000 stocks, to speed up the process I'm using multiprocessing, unfortunately due to the large amount of stock data I'm trying to receive python as a whole just crashes.

Is there a way to use multiprocessing without python crashing, I understand it would still take some time to do all of the 1000 stocks, but all I need is to do this process as fast as possible.

...

ANSWER

Answered 2021-Jan-31 at 19:18

Ok, here is one way to obtain what you want in about 2min. Some tickers are bad, that's why it crashes.

Here's the code. I use joblib for threading or multiprocess since it doesn't work in my env. But, that's the spirit.

Source https://stackoverflow.com/questions/65980910

QUESTION

Proper JsonObjCodec with Fleece for Complex, Nested Discriminated Unions

Asked 2021-Jan-20 at 08:22

I have the following DU which is composed of other DUs or/and Records.

...

ANSWER

Answered 2021-Jan-20 at 08:22

The Problem

Fleece provides Json codecs, not string codecs, so defining ToString and FromString is not the way to go, unless you need them for other stuff.

The solution

Define ToJson and OfJson for your internal DUs. Then remove all the |> string fragments in JsonObjCodec body.

Here's a quick and dirty example (I advise error handling to be improved) for Comparator :

Source https://stackoverflow.com/questions/65793977

QUESTION

Mapping from a different dataframe

Asked 2021-Jan-15 at 12:47

I have a dataset of patients, e.g.:

and a dataset of diseases of each patient (by ICD code):

How can I flag each patient if he had history of a specific ICD code, desired output:

I am currently doing it with iteration but this takes too long....

...

ANSWER

Answered 2021-Jan-15 at 12:47

If need indicators - it means only 0, 1 values use get_dummies:

Source https://stackoverflow.com/questions/65731960

QUESTION

How to drop a column in pandas

Asked 2021-Jan-06 at 13:27

I'm having trouble debugging why I can't drop columns in my python file, whereas in my notebook I can drop the columns from my dataframe just fine.

Here is my code for my notebook:

...

ANSWER

Answered 2021-Jan-06 at 13:27

When using print(pd.json_normalize(api_list).columns) I found out that requesturl was not the correct name of the column. Once I changed that it ran.

Source https://stackoverflow.com/questions/65596131

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Install icd

You can download it from GitHub.

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