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Beyond Information Retrieval—Medical Question Answering

Lee, Minsuk; Cimino, James; Zhu, Hai Ran; Sable, Carl; Shanker, Vijay; Ely, John; Yu, Hong
Fonte: American Medical Informatics Association Publicador: American Medical Informatics Association
Tipo: Artigo de Revista Científica
Publicado em //2006 EN
Relevância na Pesquisa
18.75%
Physicians have many questions when caring for patients, and frequently need to seek answers for their questions. Information retrieval systems (e.g., PubMed) typically return a list of documents in response to a user’s query. Frequently the number of returned documents is large and makes physicians’ information seeking “practical only ‘after hours’ and not in the clinical settings”. Question answering techniques are based on automatically analyzing thousands of electronic documents to generate short-text answers in response to clinical questions that are posed by physicians. The authors address physicians’ information needs and described the design, implementation, and evaluation of the medical question answering system (MedQA). Although our long term goal is to enable MedQA to answer all types of medical questions, currently, we currently implement MedQA to integrate information retrieval, extraction, and summarization techniques to automatically generate paragraph-level text for definitional questions (i.e., “What is X?”). MedQA can be accessed at http://www.dbmi.columbia.edu/~yuh9001/research/MedQA.html.

Question-answering systems as efficient source of terminological information: evaluation

Olvera Lobo, Mar??a Dolores; Guti??rrez-Artacho, Juncal
Fonte: Health Libraries Group Publicador: Health Libraries Group
Tipo: Artigo de Revista Científica
ENG
Relevância na Pesquisa
28.58%
Background:??? Question-answering systems (or QA Systems) stand as a new alternative for Information Retrieval Systems. Most users frequently need to retrieve specific information about a factual question to obtain a whole document. Objectives:??? The study evaluates the efficiency of QA systems as terminological sources for physicians, specialised translators and users in general. It assesses the performance of one open-domain QA system, START, and one restricted-domain QA system, MedQA. Method:??? The study collected two hundred definitional questions (What is????), either general or specialised, from the health website WebMD. Sources used by the open-domain QA system, START, and the restricted-domain QA system, MedQA, were studied to retrieve answers, and later a range of evaluation measures (precision, Mean Reciprocal Rank, Total Reciprocal Rank, First Hit Success) were applied to mark the quality of answers. Results:??? It was established that both systems are useful in the retrieval of valid definitional healthcare information, with an acceptable degree of coherent and precise responses from both. The answers supplied by MedQA were more reliable that those of START in the sense that they came from specialised clinical or academic sources...

Evaluaci??n de los sistemas QA de dominio abierto frente a los de dominio especializado en el ??mbito biom??dico

Olvera Lobo, Mar??a Dolores; Guti??rrez-Artacho, Juncal
Fonte: Universidad Aut??noma de Madrid Publicador: Universidad Aut??noma de Madrid
Tipo: Conferência ou Objeto de Conferência
SPA
Relevância na Pesquisa
17.11%
Los sistemas QA se presentan como una alternativa a los sistemas tradicionales de recuperaci??n de informaci??n tratando de ofrecer respuestas precisas a preguntas factuales. Hemos realizado un estudio para evaluar la eficiencia de estos sistemas como fuentes terminol??gicas para los especialistas y para usuarios en general. Con este fin, se ha evaluado el funcionamiento de cuatro sistemas QA, dos especializados en el dominio biom??dico (MedQA y HONqa) y dos de dominio general (START y QuALiM). El estudio ha utilizado una colecci??n de 150 preguntas biom??dicas definicionales (What is????), obtenidas del sitio web m??dico WebMD. Para determinar el funcionamiento, se han evaluado las respuestas ofrecidas utilizando una serie de medidas espec??ficas (precisi??n, MRR, TRR, FHS). El estudio permite confirmar que los cuatro sistemas son ??tiles para la recuperaci??n de informaci??n definicional en este ??mbito, ya que han proporcionado respuestas coherentes y precisas con un grado de aceptabilidad adecuado.