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Improving Seizure Frequency Documentation and Classification

Neurology Clinical Practice, 2023
Accurate and reliable seizure data are essential for evaluating treatment strategies and tracking the quality of care in epilepsy clinics. This quality improvement project aimed to increase seizure documentation (i.e., documentation of seizure frequency from 80% to 100%, date of last seizure from 35% to 50%, and International League Against Epilepsy ...
Poojith Nuthalapati   +8 more
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Application of Customized Term Frequency-Inverse Document Frequency for Vietnamese Document Classification in Place of Lemmatization

2021
Natural language processing (NLP) is a problem which attracts lots of attention from researchers. This study analyzes and compares a different method to classify text sentences or paragraphs in Vietnamese into different categories. The work utilizes a sequence of techniques for data-preprocessing, customize learning model and methods before using Term ...
Do Viet Quan, Phan Duy Hung
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Estimating document frequencies in a speech corpus

2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011
Inverse Document Frequency (IDF) is an important quantity in many applications, including Information Retrieval. IDF is defined in terms of document frequency, df (w), the number of documents that mention w at least once. This quantity is relatively easy to compute over textual documents, but spoken documents are more challenging.
Damianos G. Karakos   +4 more
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TF-SIDF: Term frequency, sketched inverse document frequency

2011 11th International Conference on Intelligent Systems Design and Applications, 2011
Exact calculation of the TF-IDF weighting function in massive streams of documents involves challenging memory space requirements. In this work, we propose TF-SIDF, a novel solution for extracting relevant words from streams of documents with a high number of terms.
Manuel Baena-García   +3 more
openaire   +1 more source

Filtered document retrieval with frequency-sorted indexes

Journal of the American Society for Information Science, 1996
Ranking techniques are effective at finding answers in document collections but can be expensive to evaluate. We propose an evaluation technique that uses early recognition of which documents are likely to be highly ranked to reduce costs ; for our test data, queries are evaluated in 2% of the memory of the standard implementation without degradation ...
Michael Persin   +2 more
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Generalized inverse document frequency

Proceedings of the 17th ACM conference on Information and knowledge management, 2008
Inverse document frequency (IDF) is one of the most useful and widely used concepts in information retrieval. There have been various attempts to provide theoretical justifications for IDF. One of the most appealing derivations follows from the Robertson-Sparck Jones relevance weight. However, this derivation, and others related to it, typically make a
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DOCUMENT RETRIEVAL BY PROJECTION BASED FREQUENCY DISTRIBUTION

International Journal on Artificial Intelligence Tools, 2007
In document retrieval task, random projection (RP) is a useful technique of dimension reduction. It can be obtained very quickly yet the recalculation is not necessary to any changes. However, in lower dimension, random projection has instability by randomness in itself. In this investigation, we propose a new technique, called skewed projection (SP),
Isamu Shioya   +2 more
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Continued Gap in Seizure Frequency Documentation

Journal of Pediatric Epilepsy, 2020
AbstractProper documentation during neurology clinic visits is essential. Medical providers that document precise and standardized findings aid other providers, nurses, and research personnel. The American Academy of Neurology (AAN) created standardized quality measures in order to improve delivery of care for patients with epilepsy, providers, and ...
Andrea Debs   +2 more
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Document retrieval using projection by frequency distribution

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
In document retrieval task, random projection (RP) is considered as a useful technique of dimension reduction. The task can be achieved very quickly yet the recalculation is not necessary to any changes. However, in lower dimension, random projection has instability by randomness in itself.
Hirohito Oh'uchi   +2 more
openaire   +2 more sources

Approximating Document Frequency for Self-Index based Top-k Document Retrieval

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015
Top-k document retrieval, which returns highly relevant documents relative to a query, is an essential task for many applications. One of the promising index frameworks is built by FM-index and wavelet tree for supporting efficient top-k document retrieval.
Tokinori Suzuki, Atsushi Fujii
openaire   +1 more source

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