Artificial intelligence (AI) and natural language processing (NLP) have found a highly promising application in automated clinical coding (ACC), an innovation that will have profound impacts on the clinical coding industry, billing and revenue management, and potentially clinical care itself. Dong et al. recently analyzed the technical challenges of ACC and proposed future directions. Primary challenges for ACC exist at the technological and implementation levels; clinical documents are redundant and complex, code sets like the ICD-10 are rapidly evolving, training sets are not comprehensive of codes, and ACC models have yet to fully capture the logic and rules of coding decisions. Next steps include interdisciplinary collaboration with clinical coders, accessibility and transparency of datasets, and tailoring models to specific use cases.
Barry Smith explains scientific ontologies in the sense that a scientific ontology always refers to something existing in reality. In the talk, ontologies will be treated on `word-level`, i.e. neither technology nor implementation are subject of the talk, but only what comes before that in ontological design.
Boxes and Arrows is devoted to the practice, innovation, and discussion of design; including graphic design, interaction design, information architecture and the design of business.
The Metaweb technology that supports Freebase is indeed centralized, but only for computational speed. Distributing queries of real-world complexity over a high-latency network is a very difficult problem...[Freebase will] allow wiki-style editing of the
Exhibition space of the Ontological Museum of the International Post-Dogmatist Group. The poetry on this site has been selected from 'CollagePoetry' postings.