6 citations · 6 across the 3 of their papers we have counts for
4 papers
Pretrained Medical Representations for the Practical Screening of Drug Repositioning Candidates
Yuhei Fujioka, Daitaro Misawa, Shingo Fukuma
Representation learning from medical code sequences in electronic health records and medical claims data has been successful in various clinical applications, such as those regardi…
In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention
Yuhei Fujioka, Daitaro Misawa, Tatsuyoshi Ikenoue +1
Medical claims data comprise the financial details, including the expenses and billing information, as well as the clinical information, such as the diagnoses and treatments, of pa…
Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints
Tadahisa Okuda, Shohei Shimizu, Thong Pham +2
Causal discovery has achieved substantial theoretical progress, yet its deployment in large-scale longitudinal systems remains limited. A key obstacle is that operational data are…
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Masayuki Takayama, Tadahisa Okuda, Thong Pham +4
In practical statistical causal discovery (SCD), embedding domain expert knowledge as constraints into the algorithm is important for reasonable causal models reflecting the broad…