Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record
PulseAugur coverage of Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record — every cluster mentioning Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record across labs, papers, and developer communities, ranked by signal.
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New method improves realism of synthetic clinical AI benchmarks
Researchers have developed a method to enhance the realism of synthetic clinical benchmarks for AI agents, particularly in privacy-sensitive healthcare settings. The approach, termed utility-constrained realism improvem…
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SYNRARE tool generates synthetic rare disease EHRs for ML benchmarking
Researchers have developed SYNRARE, a new tool designed to generate synthetic Electronic Health Records (EHRs) for rare diseases. This graphical user interface, built upon the Synthea framework, aims to overcome privacy…
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Process mining enhances clinical pathway modeling with high accuracy
Researchers have developed a novel two-phase method using process mining to enhance the modeling of clinical pathways. This approach leverages historical patient data to create process models and then uses conformance c…
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Researchers propose adaptive decay for knowledge graphs, improving temporal dynamics.
Researchers have developed a new framework for knowledge graphs that moves beyond uniform decay, recognizing that different types of information have varying lifespans. This approach uses a continuous decay surface base…
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FastOMOP architecture enables reliable, safe, and auditable agentic real-world evidence generation.
Researchers have introduced FastOMOP, an open-source multi-agent architecture designed to automate the generation of real-world evidence (RWE) from large healthcare datasets. The system separates governance, observabili…