Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark
Big data and (deep) machine learning have been ambitious tools in digital medicine, but
these tools focus mainly on association. Intervention in medicine is about the causal effects …
these tools focus mainly on association. Intervention in medicine is about the causal effects …
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark
Developing new drugs for target diseases is a time-consuming and expensive task, drug
repurposing has become a popular topic in the drug development field. As much health …
repurposing has become a popular topic in the drug development field. As much health …
Quantitatively measuring and contrastively exploring heterogeneity for domain generalization
Domain generalization (DG) is a prevalent problem in real-world applications, which aims to
train well-generalized models for unseen target domains by utilizing several source …
train well-generalized models for unseen target domains by utilizing several source …
[HTML][HTML] Node and relevant data selection in distributed predictive analytics: A query-centric approach
T Aladwani, C Anagnostopoulos… - Journal of Network and …, 2024 - Elsevier
Abstract Distributed Predictive Analytics (DPA) refers to constructing predictive models
based on data distributed across nodes. DPA reduces the need for data centralization, thus …
based on data distributed across nodes. DPA reduces the need for data centralization, thus …
[PDF][PDF] Emulate Randomized Clinical Trials using Heterogeneous Treatment Effect Estimation for Personalized Treatments: Methodology Review and Benchmark
MS Yaobin Ling, P Upadhyaya, MS Luyao Chen… - academia.edu
Big data and (deep) machine learning have been ambitious tools in digital medicine, but
these tools focus mainly on association. Intervention in medicine is about the causal effects …
these tools focus mainly on association. Intervention in medicine is about the causal effects …