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Causal Machine Learning for Healthcare and Precision Medicine. (arXiv:2205.11402v2 [cs.LG] UPDATED)
cs.LG updates on arXiv.org arxiv.org
Causal machine learning (CML) has experienced increasing popularity in
healthcare. Beyond the inherent capabilities of adding domain knowledge into
learning systems, CML provides a complete toolset for investigating how a
system would react to an intervention (e.g.\ outcome given a treatment).
Quantifying effects of interventions allows actionable decisions to be made
whilst maintaining robustness in the presence of confounders. Here, we explore
how causal inference can be incorporated into different aspects of clinical
decision support (CDS) systems by using recent …
arxiv healthcare learning machine machine learning medicine precision precision medicine