Results 261 to 270 of about 4,280,482 (303)

Term Birth Weight and Neurodevelopmental Outcomes

Epidemiology, 2021
Background: Preterm birth is an important risk factor for neurodevelopmental disabilities. The vast majority of these disabilities occur, however, among term births. The role of fetal growth restriction specifically among term babies has been incompletely described.
Marianna, Cortese, Dag, Moster, Allen J, Wilcox   +2 more
openaire   +2 more sources

Refining term weights of documents using term dependencies

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004
When processing raw documents in Information Retrieval (IR) System, a term-weighting scheme is used to calculate the importance of each term which occurs in a document. However, most term-weighting schemes assume that a term is independent of the other terms. Term dependency is an indispensable consequence of language use [1].
Hee-Soo Kim, Ikkyu Choi, Minkoo Kim
openaire   +1 more source

Semantic term weighting for clinical texts

Expert Systems with Applications, 2018
Abstract Term weighting is an essential step to process textual data and generate input data (vector) for machine learning algorithms. In order to appropriately represent documents into computable forms for a certain task (such as text classification, clustering, sentiment analysis, recommendation and information retrieval), semantic term weighting ...
Ryosuke Matsuo, Tu Bao Ho
openaire   +1 more source

Effective Term Weighting for Sentence Retrieval

2010
A well-known challenge of information retrieval is how to infer a user's underlying information need when the input query consists of only a few keywords. Question Answering (QA) systems face an equally important but opposite challenge: given a verbose question, how can the system infer the relative importance of terms in order to differentiate the ...
Saeedeh Momtazi, Matthew Lease, Dietrich Klakow   +2 more
openaire   +1 more source

Supervised term weighting for sentiment analysis

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
Vector space text classification is commonly used in intelligence applications such as email and conversation analysis. In this paper we propose a supervised term weighting scheme called tƒ × KL (term frequency Kullback-Leibler), which weights each word proportionally to the ratio of its document frequency across the positive and negative class.
Tam T. Nguyen, Kuiyu Chang, Siu Cheung Hui   +2 more
openaire   +1 more source

Long-term prediction of birth weight

Journal of Ultrasound in Medicine, 1993
On the basis of the hypothesis that undisturbed individual growth in fetal life keeps a constant proportional difference with the standard population 50th percentile, birth weight can be predicted with a single sonographic exploration after the 16th week of pregnancy. Data on 135 singleton pregnancies with accurate dates and delivery at term were used.
J J, Santonja-Lucas, C, Armero, L, Martinez-Gonzalez   +2 more
openaire   +2 more sources

Experiments in term weighting for novelty mining

Expert Systems with Applications, 2011
Abstract Obtaining new information in a short time is becoming crucial in today’s economy. A lot of information both offline or online is easily acquired, exacerbating the problem of information overload. Novelty mining detects documents/sentences that contain novel or new information and presents those results directly to users ( Tang, Tsai, & Chen,
Flora S. Tsai, Agus Trisnajaya Kwee
openaire   +1 more source

Determinants of long‐term weight maintenance

Acta Paediatrica, 2007
AbstractThe aim of this paper is to discuss existing evidence on the determinants of weight maintenance by examining population based studies on weight gain as well as studies on weight loss maintenance.The data shows that disadvantaged groups are less likely to maintain healthy weight, and various social and economic problems starting from early in ...
openaire   +2 more sources

A Term Weighting Approach for Text Categorization

2005
It is common that representative words in a document are identified and discriminated by their statistical distribution of their frequency statistics. We assume that evaluating the confidence measure of terms through content-based document analysis leads to a better performance than the parametric assumptions of the standard frequency-based method.
Kyung-Chan Lee, Seung-Shik Kang, Kwang-Soo Hahn   +2 more
openaire   +2 more sources

Relation Based Term Weighting Regularization

2012
Traditional retrieval models compute term weights based on only the information related to individual terms such as TF and IDF. However, query terms are related. Intuitively, these relations could provide useful information about the importance of a term in the context of other query terms.
Hao Wu 0036, Hui Fang 0001
openaire   +2 more sources