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[KNIHA][B] Health behavior change: Theories, methods and interventions
We live in an era where people live longer but also suffer from more chronic illnesses. Yet
these two issues present not only significant challenges to healthcare professionals, but also …
these two issues present not only significant challenges to healthcare professionals, but also …
Comparing generative and extractive approaches to information extraction from abstracts describing randomized clinical trials
Abstract Background Systematic reviews of Randomized Controlled Trials (RCTs) are an
important part of the evidence-based medicine paradigm. However, the creation of such …
important part of the evidence-based medicine paradigm. However, the creation of such …
Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstracts
Background In the field of structured information extraction, there are typically semantic and
syntactic constraints on the output of information extraction (IE) systems. These constraints …
syntactic constraints on the output of information extraction (IE) systems. These constraints …
Esc-rules: Explainable, semantically constrained rule sets
We describe a novel approach to explainable prediction of a continuous variable based on
learning fuzzy weighted rules. Our model trains a set of weighted rules to maximise …
learning fuzzy weighted rules. Our model trains a set of weighted rules to maximise …
[PDF][PDF] Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction.
Decades of research have created a vast archive of information on human behavior, with
relevant new studies being published daily. Despite these advances, knowledge generated …
relevant new studies being published daily. Despite these advances, knowledge generated …