A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data
PositiveArtificial Intelligence
A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data
A new tutorial has emerged that simplifies the process of discovering and quantifying the effects of hidden causal factors in electronic health records (EHR). This peer-reviewed machine learning pipeline is designed to help researchers and clinicians understand how various latent sources influence clinical outcomes. By effectively processing imperfect multimodal data, this approach allows for the development of targeted causal models, which can ultimately enhance patient care and treatment strategies.
— via World Pulse Now AI Editorial System
