ClinicalTrialsNLP | Classes for ClinicalTrials.gov related projects

by p2 Python Version: python-27 License: No License

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

kandi X-RAY | ClinicalTrialsNLP Summary

ClinicalTrialsNLP is a Python library. ClinicalTrialsNLP has no bugs, it has no vulnerabilities and it has low support. However ClinicalTrialsNLP build file is not available. You can download it from GitHub.

A set of classes to be used in projects related to ClinicalTrials.gov.

Support

Quality

Security

License

Reuse

Support

ClinicalTrialsNLP has a low active ecosystem.

It has 45 star(s) with 24 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ClinicalTrialsNLP is python-27

Quality

ClinicalTrialsNLP has 0 bugs and 0 code smells.

Security

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

ClinicalTrialsNLP code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ClinicalTrialsNLP does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ClinicalTrialsNLP releases are not available. You will need to build from source code and install.

ClinicalTrialsNLP has no build file. You will be need to create the build yourself to build the component from source.

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

ClinicalTrialsNLP saves you 2401 person hours of effort in developing the same functionality from scratch.

It has 5233 lines of code, 369 functions and 24 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ClinicalTrialsNLP and discovered the below as its top functions. This is intended to give you an instant insight into ClinicalTrialsNLP implemented functionality, and help decide if they suit your requirements.

Return HTML report
Lookup the code meaning for a given rx id
Executes the given sql
Connect to the database
Parse PubMed Central packages
Close the cursor
Returns the name of the archive
Return a JSON listing of trials
Return a JSON representation of the object
Download PubMed records from PubMed Central
Return a dictionary of trial phases
Return a summary of trials and phases
Returns a list of trials in the database
Run the worker
Encode a keypath into the pipeline
Get Eligibility Criteria
Execute sqlite sqlite
Setup the sqlite database
Get trial by nct
Return the status of the run
Search for trials matching a condition
Set the TZKEY name
Write a reason for trial
Exclude a subset of exclusion codes
Commit the sqlite database
Run pmc packages

Get all kandi verified functions for this library.

ClinicalTrialsNLP Key Features

No Key Features are available at this moment for ClinicalTrialsNLP.

ClinicalTrialsNLP Examples and Code Snippets

No Code Snippets are available at this moment for ClinicalTrialsNLP.

Community Discussions

No Community Discussions are available at this moment for ClinicalTrialsNLP.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ClinicalTrialsNLP

You can download it from GitHub.
You can use ClinicalTrialsNLP like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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