phenotyping | repository contains data and code for the paper | Machine Learning library

by sebastianGehrmann Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | phenotyping Summary

phenotyping is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. phenotyping has no bugs, it has no vulnerabilities and it has low support. However phenotyping build file is not available. You can download it from GitHub.

This repository contains the code and data for the paper "Comparing deep learning and concept extraction based methods for patient phenotyping".

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Support

phenotyping has a low active ecosystem.

It has 20 star(s) with 11 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of phenotyping is current.

Quality

phenotyping has 0 bugs and 0 code smells.

Security

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

phenotyping code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

phenotyping 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

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

phenotyping 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.

Top functions reviewed by kandi - BETA

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

Extracts n - gram features
Compute the prediction for the given data
Sort a dictionary by value

Get all kandi verified functions for this library.

phenotyping Key Features

No Key Features are available at this moment for phenotyping.

phenotyping Examples and Code Snippets

No Code Snippets are available at this moment for phenotyping.

Community Discussions

Trending Discussions on phenotyping

Python for matching paper IDs in Scholarly

QUESTION

Python for matching paper IDs in Scholarly

Asked 2020-Jul-01 at 21:00

I have a list of the following authors for Google Scholar papers: Zoe Pikramenou, James H. R. Tucker, Alison Rodger, Timothy Dafforn. I want to extract and print titles for the papers present for at least 3 of these.

You can get a dictionary of paper info from each author using Scholarly:

...

ANSWER

Answered 2020-Jul-01 at 19:12

First, let's convert this into a more friendly format. You say that the id_citations is unique for each paper, so we'll use it as a hashtable/dict key.

We can then map each id_citation to the bib dict and author(s) it appears for, as a list of tuples (bib, author_name).

Source https://stackoverflow.com/questions/62683258

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

Vulnerabilities

No vulnerabilities reported

Install phenotyping

You can download it from GitHub.
You can use phenotyping 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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