medisim | Medical Similarity Dataset creation from SNOMED

by babylonhealth Python Version: Current License: Apache-2.0

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

kandi X-RAY | medisim Summary

medisim is a Python library typically used in Healthcare, Pharma, Life Sciences applications. medisim has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

At Babylon we believe it’s possible to put an accessible and affordable health service in the hands of every person on earth. The technology we use is at the heart and soul of that mission. Babylon is a Healthcare Platform, currently providing online consultations via in-app video and phone calls, AI-assisted Triage and Predictive Health Assistance.

Support

Quality

Security

License

Reuse

Support

medisim has a low active ecosystem.

It has 25 star(s) with 4 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

medisim has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of medisim is current.

Quality

medisim has 0 bugs and 0 code smells.

Security

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

medisim code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

medisim is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

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

medisim saves you 244 person hours of effort in developing the same functionality from scratch.

It has 595 lines of code, 31 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Create positive instances from substitutions
Clean the given label
Clean the pref label
Get the pref label for a given concept
Create positive instances from labeled SNOMED files
Raise an exception if label id is invalid
Get pref and alt labels for a given concept
Ensures that there are no pref label for given concepts
Loads negative instances from a given dataset
Computes the Levenshtein distance between candidate and label1
Performs negative sampling based on the given strategy
Creates the minimum distances between two sources

Get all kandi verified functions for this library.

medisim Key Features

No Key Features are available at this moment for medisim.

medisim Examples and Code Snippets

No Code Snippets are available at this moment for medisim.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install medisim

You can download it from GitHub.
You can use medisim 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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