Metadata-Version: 2.4
Name: clinical-data-validators
Version: 0.4.0
Summary: A library for validating clinical data quality
Author: Navin Kumar
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas>=1.3.0
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

﻿# Clinical Data Validators

A Python library for validating clinical datasets.

## Installation

pip install clinical-data-validators

## Usage

python
import pandas as pd
from clinical_validators import validate_missing_critical_fields

df = pd.read_csv("data.csv")
result = validate_missing_critical_fields(df)
print(result)


## Validators
1. Missing Critical Fields
2. Invalid Data Types
3. Future Dates
4. Out of Range Values
5. Duplicate Records
6. Invalid Patient IDs
7. Missing Visit Data
8. Age Consistency
9. Gender-Based Validation
10. Data Completeness
