Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 8 of 8 for “"Transcription Errors"”.

  1. A Comparative Study of the Performance of Students in Gregg Shorthand, Diamond Jubilee Series, and Forkner Shorthand in the Seattle Public Schools

    … of student transcripts to determine the kinds of transcription errors that were made, and (3) to determine whether any particular errors were more prevalent in one shorthand system than in the other.

    central-wash Repository record for A Comparative Study of the Performance of Students in Gregg Shorthand, Diamond Jubilee Series, and Forkner Shorthand in the Seattle Public Schools (opens in a new tab)

  2. A variance shilf model for outlier detection and estimation in linear and linear mixed models

    … experimental research data, for example, due to transcription errors or faulty experimental equipment. Often outliers are quickly identified and addressed, that is, corrected, removed from the data, or retained for subsequent analysis. However, in many cases they are completely anomalous and it …

    cape-town Repository record for A variance shilf model for outlier detection and estimation in linear and linear mixed models (opens in a new tab)

  3. Prevention of Medication Errors During the Transcription Process

    … dispensing, and administering drugs. The transcription of medication orders during patient admissions have been described as an error prone process by nurses on the unit. An FMEA analysis and unit surveys indicated a need for improvement. The specific aim for this project is to improve the …

    usfca Repository record for Prevention of Medication Errors During the Transcription Process (opens in a new tab)

  4. Renal allograft biopsies at Groote Schuur Hospital: a histopathologic descriptive study with molecular insights

    … tool that aims to decrease logical- and transcription errors when using the complex Banff classification. It also demonstrates C4d's role as a practical DSA proxy, offering actionable solutions in resource-limited settings.

    cape-town Repository record for Renal allograft biopsies at Groote Schuur Hospital: a histopathologic descriptive study with molecular insights (opens in a new tab)

  5. Considerations for Automating Salmonella Serovar Identification within an Electronic Public Health Reporting Environment

    … rate of 13.1% included simple omissions and transcription errors. We limited our assessment of K-W and PHIN-VADS to the functional characteristics of the resources they distribute. K-W creates serovar names but does not provide identifiers. PHIN-VADS includes the identifiers but not antigenic …

    vt Repository record for Considerations for Automating Salmonella Serovar Identification within an Electronic Public Health Reporting Environment (opens in a new tab)

  6. Self-supervision strategies for post-ASR error correction in clinical domain.

    … in the literature addressing the correction of transcription errors in scenarios with limited domain-specific data. Current models heavily rely on extensive training datasets, which may not always be available in specialised fields such as healthcare. This research identifies two key challenges …

    rgu Repository record for Self-supervision strategies for post-ASR error correction in clinical domain. (opens in a new tab)

  7. A variance shift model for outlier detection and estimation in linear and linear mixed models

    … experimental research data, for example, due to transcription errors or faulty experimental equipment. Often outliers are quickly identified and addressed, that is, corrected, removed from the data, or retained for subsequent analysis. However, in many cases they are completely anomalous and it …

    cape-town Repository record for A variance shift model for outlier detection and estimation in linear and linear mixed models (opens in a new tab)

  8. Deep neural network acoustic models for multi-dialect Arabic speech recognition

    … speakers (2.4 hours) for testing are revised and transcription errors were manually corrected. The selected dataset is labelled automatically using the HTK Hidden Markov Model toolkit. TIMIT corpus is also used for phone recognition and acoustic modelling task. We used 462 speakers (3.14 hours) …

    nott-trent Repository record for Deep neural network acoustic models for multi-dialect Arabic speech recognition (opens in a new tab)