Silke Schicktanz, Johannes Welsch, Mark Schweda, Andreas Hein, Jochem W Rieger, Thomas Kirste
AI-assisted ethics? considerations of AI simulation for the ethical assessment and design of assistive technologies
Frontiers in genetics
inconsistent disease coding standards medicine create hurdles data exchange analysis paper proposes machine learning system address challenge system automatically matches unstructured medical text doctor notes complaints icd10 codes leverages unique architecture featuring training layer model development knowledge base captures relationships symptoms diseases experiments using data large medical research center demonstrated systems effectiveness disease classification prediction logistic regression emerged optimal model due superior processing speed achieving accuracy 8107 acceptable error rates highload testing approach offers promising solution improve healthcare informatics overcoming coding standard incompatibility automating code prediction unstructured medical text