Contextual Design: Defining Customer-Centered Systems
Contextual Design: Defining Customer-Centered Systems
High-performance tagging on medical texts
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Temporal annotation of clinical text
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Using UMLS metathesaurus concepts to describe medical images: dermatology vocabulary
Computers in Biology and Medicine
Linking SweFN++ with medical resources, towards a MedFrameNet for Swedish
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
Towards morphologically annotated corpus of hospital discharge reports in Polish
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Disfluencies as extra-propositional indicators of cognitive processing
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
Linking uncertainty in physicians' narratives to diagnostic correctness
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
Linking uncertainty in physicians' narratives to diagnostic correctness
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
| Hi-index | 0.00 |
The broad goal of this study is to further the understanding of doctors' diagnostic styles and reasoning processes. We analyze and validate methods for annotating verbal diagnostic narratives collected together with eye-movement data. The long-term goal is to understand the cognitive reasoning and decision-making processes of medical experts, which could be useful for clinical information systems. The linguistic data set consists of transcribed recordings. Dermatologists were shown images of cutaneous conditions and asked to explain their observations aloud as they proceeded towards a diagnosis. We report on two linked annotation studies. In the first study, a subset of narratives were annotated by experts using a unique annotation scheme developed specifically for capturing decision-making components in the diagnostic process of dermatologists. We analyze annotator agreement as well as compare this annotation scheme to semantic types of the Unified Medical Language System as validation. In the second study, we explore the annotation of diagnostic correctness in the narratives at three relevant diagnostic steps, and we also explore the relationship between the two annotation schemes.