Artificial intelligence for prediction of International Classification of Disease codes
Kaitlyn Wallace +1 more
openalex +2 more sources
International classification of diseases codes have low positive predictive value for neonatal morbidities. [PDF]
Hendrickson JE +19 more
europepmc +1 more source
Factors associated with clinical coders' intention to use the international classification of diseases 11th revision (ICD-11): a cross-sectional study in Iran. [PDF]
Alipour J +2 more
europepmc +1 more source
Outcome measures and classification criteria for the rheumatic diseases. A compilation of data from OMERACT (Outcome Measures for Arthritis Clinical Trials), ILAR (International League of Associations for Rheumatology), regional leagues and other groups [PDF]
Peter Brooks
openalex +1 more source
Artificial Intelligence-based Automated International Classification of Diseases Coding: A Systematic Review. [PDF]
Mousavi Baigi SF +5 more
europepmc +1 more source
Identifying patients transported by helicopter emergency medical services using the International Classification of Diseases (ICD)-11: a scoping review. [PDF]
Hu X, Jiang W, Liu S, Wu D, Chen C.
europepmc +1 more source

