PyHealth
Healthcare analytics toolbox
A comprehensive toolkit for applying deep learning to healthcare applications
A Deep Learning Python Toolkit for Healthcare Applications.
998 stars
33 watching
215 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
clinical-dataclinical-researchdata-miningdeep-learningelectronic-health-recordelectronic-medical-recordhealthcaremedical-codepreprocessing
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python library providing tools to process and analyze standardized clinical data from healthcare databases | 37 |
| A toolkit for facilitating research and deployment of machine learning models in healthcare | 77 |
| An open-source software package providing tools and APIs for Bayesian modeling of marketing metrics. | 730 |
| An open-source framework for analyzing Electronic Health Record data | 244 |
| Provides standardized implementations of algorithms for non-contact physiological measurement using image analysis techniques. | 193 |
| A deep learning framework for automatic and semi-automatic segmentation of 3D image stacks in connectomics | 172 |
| A medical visual question-answering dataset and toolkit for training models to understand medical images and instructions. | 180 |
| A collection of machine learning models and tools for real-time time series data analytics and anomaly detection | 168 |
| A PyTorch-based toolbox for building and training deep learning models with ease. | 204 |
| An approach to analyzing OxfordNanopore reads for HLA typing using Python | 13 |
| An analytics framework for accessing Corda data in Python. | 13 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
| A MATLAB toolbox for analyzing facial images to estimate vital signs and emotional states from blood volume changes. | 79 |
| A comprehensive time series modeling library with various statistical models and inference methods. | 2,114 |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |