Risk stratification of coronary heart disease and ischemic stroke
Project description
CCRS
The CCRS is a python package that could provide individual risk stratification of coronary heart disease and ischemic stroke in batches.
Installation and dependency package
dependency package
python >=3.7
Installation
pip install CCRS
Example
import pickle
import scipy.stats as st
import pandas as pd
import numpy as np
import CCRS
result = CCR(your_data)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
CCRS-1.0.0.tar.gz
(11.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
CCRS-1.0.0-py3-none-any.whl
(12.6 kB
view details)
File details
Details for the file CCRS-1.0.0.tar.gz.
File metadata
- Download URL: CCRS-1.0.0.tar.gz
- Upload date:
- Size: 11.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.9.0 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
676860dcbfce3bdf34a71ea2d38113ed676e7b12950c35a7d21f5976161ac39b
|
|
| MD5 |
e6d48b454ed7c4f7db4993db93ff10f5
|
|
| BLAKE2b-256 |
266c9b020814668221c2bcd3055497e1ee7141d3ff528c097547c403eaf3c016
|
File details
Details for the file CCRS-1.0.0-py3-none-any.whl.
File metadata
- Download URL: CCRS-1.0.0-py3-none-any.whl
- Upload date:
- Size: 12.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.9.0 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1c029ad6bccd732b888842cf91a9aca441f23d17a1b6b02c0fc6895037520063
|
|
| MD5 |
00a02a2c82f76fa51628a5e4f62401e5
|
|
| BLAKE2b-256 |
2afac0225b890c48bf443a18544498b8fb09144e1eba87bf40765629cef717dd
|
