manual-knowledge-driven-feature-engineering-kdfe
Case study - Feature engineering inspired by domain experts on real world medical data
https://github.com/objorneld/manual-knowledge-driven-feature-engineering-kdfe
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (1.0%) to scientific vocabulary
Last synced: 6 months ago
·
JSON representation
·
Repository
Case study - Feature engineering inspired by domain experts on real world medical data
Basic Info
- Host: GitHub
- Owner: OBjorneld
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://github.com/OBjorneld/Manual-Knowledge-Driven-Feature-Engineering-KDFE
- Size: 3.69 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
Citation
README.md
Manual Knowledge Driven Feature Engineering (KDFE)
Feature engineering inspired by domain experts on real world medical data
Owner
- Login: OBjorneld
- Kind: user
- Repositories: 1
- Profile: https://github.com/OBjorneld
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Manual knowledge driven feature Engineering (KDFE)
message: 'If you use this software, please cite it as below.'
type: software
authors:
- given-names: Lars Olof
family-names: Björneld
orcid: 'https://orcid.org/0000-0002-8370-2950'
identifiers:
- type: url
value: >-
https://github.com/OBjorneld/Manual-Knowledge-Driven-Feature-Engineering-KDFE
abstract: >
Feature engineering inspired by domain experts (KDFE) on
real world medical data
keywords:
- Feature engineering
- Domain expert
date-released: '2023-08-24'