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EHRQC

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0.4 EHRQC-0.4-py3-none-any.whl

Wheel Details

Project: EHRQC
Version: 0.4
Filename: EHRQC-0.4-py3-none-any.whl
Download: [link]
Size: 27760
MD5: f4cb169e23c6e9aed698dee35c2ac198
SHA256: 56cc4e923403be02e595bffbb4aae866edf74a0878011661b6510374b079030e
Uploaded: 2022-02-28 09:35:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: EHRQC
Version: 0.4
Summary: Package for performing QC on Electronic Health Record (EHR) data
Author: Yashpal Ramakrishnaiah <ryashpal.ramakrishnaiah1@monash.edu>, Sonika Tyagi <sonika.tyagi@monash.edu>
Author-Email: ryashpal.ramakrishnaiah1[at]monash.edu, sonika.tyagi[at]monash.edu
Home-Page: https://github.com/ryashpal/EHRQC
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Requires-Python: >=3.6
Description-Content-Type: text/markdown
[Description omitted; length: 7120 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
qc/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
qc/anomaly.py sha256=8QUqA5K7wtr5m5DcgcxdcLepDBSImawtIrHnNyPd1hU 825
qc/demographicsGraphs.py sha256=pafBkj_CULbG-_2S6YZ8M-KZSEjXeAk4oY7FHJ2dBCw 12048
qc/extract.py sha256=YPNfg946STBWldKam2y84RNAIxnfV3rTZ61js2uhbQc 4244
qc/labMeasurementsAnomalies.py sha256=fgws5YBpTmThtcHXDpDwQOrxovELaA3IxDBR49wauM8 3565
qc/labMeasurementsGraphs.py sha256=QmW6hAwOMKFUYBw49IT6qDdaKhe9me8ny_zr_-UK4iU 5655
qc/missingDataImputation.py sha256=StfhVt5EXKrKbvwbuOOn-nHBVvT20DHVeG80ekv1XyI 4006
qc/pipeline.py sha256=7iwREQPJe01eJBJ4glPwyGYhBfZM2JZTEqMgioB5Aug 3190
qc/utils.py sha256=dXNGq1eqdnrEsBZtoIKqX9MU9F9I42C7CTS0PFLeB7k 27222
qc/vitalsAnomalies.py sha256=XdJdgM7RRrQGTJiDpXscqQ72QdeEssDS1lKpDnilz2E 7162
qc/vitalsGraphs.py sha256=aYk817qZr-4wQd3rebosEsXObtF27RznhKts2stZzT0 6040
test/__init__.py sha256=3VbIzqrugAKUDfqUl3MrLCUdrQjSCG-hNtpUv20KN-8 122
test/context.py sha256=ceLsiDojd6Toengok-dImZeGxvBzDI06roMEMkZoc5E 326
test/dbUtils.py sha256=hz5RRWDgDoApZdn_GQfEmCtN7QVZFtp-YhmcKwoO1_k 7824
test/test.py sha256=ejoZ-egUSF788n6ZjM4FSQPAGqR56HRglHRYpxjzkOM 3589
EHRQC-0.4.dist-info/LICENSE sha256=UoywfloUGH6120hrZlLpKwfh71Kh9Y1jmOhVs6WUzJE 1065
EHRQC-0.4.dist-info/METADATA sha256=_M9tf6a5kRSD1osUZfQESfvtHYQ75bdWBUrjjTvmsG8 7861
EHRQC-0.4.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
EHRQC-0.4.dist-info/top_level.txt sha256=eRwdvP6XV1UAm4HvG3WiwR67bhNqnjUjcUQGuE8_SAs 139
EHRQC-0.4.dist-info/RECORD — —

top_level.txt

anomaly
demographicsGraphs
labMeasurementsAnomalies
labMeasurementsGraphs
missingDataImputation
qc
test
utils
vitalsAnomalies
vitalsGraphs