Using enhanced text to facilitate recognition of drug names: evidence from two experimental studies.

نویسنده

  • Kraig L Schell
چکیده

Two studies examined the effects of enhanced text on immediate recognition of drug names. Study 1 sampled 102 college students using a between-subjects design, while Study 2 sampled 11 practicing pharmacists and technicians using a within-subjects Latin square design. Both studies utilized a computer-based sequential recognition task where a prime word was shown with various text enhancements, followed by a mask and then a target word. Participants decided whether the target word was the same as the prime word. Stimuli were organized so that 120 trials were matches and 120 trials were mismatches, randomly sequenced for each participant. Results showed an effect of orthographic similarity, where high-similarity name mismatches were missed more often. This effect was independent of the type of text enhancement used and response bias. Case-based enhancements also increased errors of commission (false alarms) significantly. Discussion includes the practical relevance of the data and future directions for research.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...

متن کامل

Improvement of Chemical Named Entity Recognition through Sentence-based Random Under-sampling and Classifier Combination

Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties. Improvement in the performance of such systems may affects the quality of the subsequent tasks. Chemical text from which data for named entity recognition is extracte...

متن کامل

سیستم شناسایی و طبقه بندی اسامی در متون فارسی

Name entity recognition (NER) is a system that can identify one or more kinds of names in a text and classify them into specified categories. These categories can be name of people, organizations, companies, places (country, city, street, etc.), time related to names (date and time), financial values, percentages, etc. Although during the past decade a lot of researches has been done on NER in ...

متن کامل

Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...

متن کامل

تاثیر تدریس روش تحقیق بر مبنای مراقبت مبتنی برشواهد، کاربردها و طراحی پژوهش بر شناخت، نگرش و رضایت از تدریس

Background and Objective: Traditional teaching of research methodology is associated with low learning and satisfaction but effective teaching increase professional abilities and positive attitude toward science. In this study the effect of research methodology teaching based on evidence based care, applications and research designing, on knowledge, attitude and teaching satisfaction was studie...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Applied ergonomics

دوره 40 1  شماره 

صفحات  -

تاریخ انتشار 2009