Blog
01/12/2021 13:05:00Bariatric Surgery: Analyse the care pathway and predict the risk of discontinuation
This study aims to analyze the causes of disruptions in pre-operative follow-up, identify the profiles of patients at risk and measure the economic impact of disruptions.
01/07/2021 13:31:59Prediction of unplanned readmissions
Following initial hospitalization, re-admissions for pulmonary pathologies are among the conditions that generate the most readmission and consequently lead to additional expenditure on social security.
30/06/2021 13:52:13State of art: Explainability of AI models
To reduce errors and better understand the predictions made by AI, the explicability of AI models (XAI for "eXplainable AI") has emerged as a research field.
24/06/2021 13:11:27Medical imaging: Explainability methods for image classification
Automatic image analysis has seen its performance grow strongly in recent years. These recent advances improve the construction of predictive imaging models, increasing their reliability
22/06/2021 13:42:02Healthcare journey
Our journey design begins with the first recording of a patient for a reason in a healthcare facility until the last event of their management: Time sequence of all care events occurring during medical management.
22/06/2021 11:56:06State of the art: Prediction of hospital readmission
The study of hospital readmission could contribute to the improvement of care paths but the subject is quite complex. The different models in the literature are difficult to compare. To predict the risk of readmission, a certain population is often targeted.
22/06/2021 10:32:12Covid-19 : Predicting admissions and extracting valuable insights from data analytics
Faced with this health crisis, it was natural for Kaduceo to make our expertise available to hospitals. Adapting some of our predictive and indicator models to allow hospitals to have overall visibility of Covid activity within their hospital has become the priority
01/06/2021 15:28:00Neural Network Architectures for image classification
From examples where each image is associated with a category, the so-called Machine Learning models learn to identify patterns specific to the observations of the same category, with the aim of distinguishing the different groups in the best possible way.
30/03/2021 14:22:00Lung Cancer : How to predict an early death ?
Lung Cancer: Analyze the profile and health care facility transitions of patients with lung cancer to infer elements that characterize early death
25/02/2021 16:01:00Respiratory Diseases: Comparison of Care Pathways
Pathway Comparison: Physicians Would Like to Learn from Muco Patient Management to Enrich PCD Patient Management
22/02/2019 11:41:00Emergency Activity Prediction AI Model
The main challenge is to be able to provide forecasts that are reliable enough to alert hospitals in the event of a peak of activity. We are looking to propose a tool that can give visibility to the activity and allow us to plan the necessary resources.
