CCAIM
Novel AI to transform healthcare
SMC builds a new ensemble weighting existing models according to their likelihood to accurately represent a novel case. Based on our results, SMC is more robust and gives more accurate predictions than existing models.
We are thrilled to announce the release of our latest software packages, specifically designed to enhance your use of machine learning technology in a wide range of healthcare topics (e.g. …
AutoPrognosis is an automated predictive modelling pipeline designed for clinical prognosis, leveraging state-of-the-art advances in automated machine learning to optimise ML pipelines, incorporate model explainability tools, and enable deployment of …
TemporAI is a Machine Learning-centric time-series library tailored for medicine, focusing on time-series prediction, time-to-event analysis, and counterfactual inference for individualised treatment effects. How is it unique? TemporAI offers a …
HyperImpute is a comprehensive library for handling missing data in your ML pipelines, simplifying the selection process of a data imputation algorithm and offering a range of novel algorithms compatible …
Synthcity is an open-source synthetic data generation library that outperforms rivals (YData, Gretel, SDV, etc.) in terms of compatible use cases and data modalities, offering solutions for privacy, data scarcity, …
A comprehensive collection of Machine Learning interpretability methods, offering users a reference to select the best-suited method for their needs, with a focus on providing insights into ML model predictions …
