| Name | mipha JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | None |
| Summary | Modular data Integration for Predictive Healthcare Analytics |
| upload_time | 2024-07-25 10:06:14 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.12 |
| license | MIT License Copyright (c) 2024 Hadrien Salem Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
machine learning
data science
healthcare
disease prediction
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# MIPHA
**Modular data Integration for Predictive Healthcare Analytics**
MIPHA is a framework allowing for the creation of reusable, transferable and highly-customizable machine learning models
for disease prediction. Its key features are:
- Flexible architecture allowing for the study of any disease
- Ability to include data from various sources
- Modular architecture designed for reusability
This framework is being worked on as part of my PhD research on disease prediction using machine learning.
Development is still in its early stages! Documentation of the library will be updated over time.
## Release summary
### [0.1.1] Initial prototype - 2024-07-25
#### Summary
This very first development allows for the instantiation of a disease prediction model, and will be built upon in subsequent iterations.
#### Added
- Initialize project
- Implement the core components of the framework
- Allow for saving, loading and reusing components of the framework
- Introduce unit tests and test utilities
- Set up continuous integration tools
[//]: # (#### Changed)
#### Fixed
- Bumped up version number for proper release on PyPi
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