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Some of the non-binary variables such as age and Charlson index are currently provided as their verbatim value, which means models such as logistic regression (propensity scores) will model them as li…
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## Score
# Description
We analysed the performance of the pipeline `eds.charlson` over 100 documents extracted from the Bordeaux CHU medical datawarehouse. We compare Charlson score extracted …
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Possibly related to #39 - in the code below I can see the variable labels and access them through the variable.labels attribute of the dataframe:
```
set.seed(1)
x
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Hello @jackwasey,
I was recently made aware of a typo in the paper by Quan _et al_. (2005) describing the scoring algorithm for peripheral vascular disease, Charlson score.
I just wanted to make sur…
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1. Charlson Comorbidity – entire domain has mismatched Tooltip (something from COVID ontology).
2. Leaf icons are missing. Only has Folder icons.
3. https://orthotoolkit.com/charlson-comorbidity-in…
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I am running {icd} over some billing/coding data locally and noticed the scores were lower than expected (whereas the van Walraven scores were in line with what was expected). I believe Charlson-Deyo …
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### General info
* comorbidipy version: 0.4.4 (latest)
* Python version: 3.7.12
* Operating System: linux
### Description
When a patient has a list of icd codes, each icd code is supposed to be…
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I have a pseudo color plot that is plotting a point cloud of data. If I select the point type to be icosahedron and scale by the default variable. Sometimes I get the correct result. Sometimes I get n…
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Hi, it seems the 'Clinical vulnerability' and potentially 'Health and Wellbeing' domains are looking at similar indicators to existing co-morbidity indices, which aim to give a mortality score for a g…
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In this issue, I detail the investigation into the impact of relapse in survival rates. This was done in the code `model_training/primitive_vs_metastasis_model.py` with the following command:
```c…