Abstract:
:According to Ministry of Health and Welfare of Taiwan, cancer has been one of the major causes of death in Taiwan since 1982. The Intensive-Modulated Radiation Therapy (IMRT) is one of the most important radiotherapies of cancers, especially for Nasopharyngeal cancers, Digestive system cancers and Cervical cancers. For patients, if they can receive the treatment at the earliest possibility while diagnosed with cancers, their survival rate increases. However, the discussion of effective patient scheduling models of IMRT to reduce patients' waiting time is still limited in literature. This study proposed a mathematical model to improve the efficiency of patient scheduling. The research was composed of two stages. In the first stage, the online stochastic algorithm was proposed to improve the performance of present scheduling system. In the second stage the impact of future treatment to reduce patients' waiting time was considered. A genetic algorithm (GA) was then proposed to solve the online stochastic scheduling problem. This research collected data from a practical medical institute and the proposed model was validated with real data. It contributes to both theory and practice by proposing a practical model to assist the medical institute in implementing patient scheduling in a more efficient manner.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Chang WH,Lo SM,Chen TL,Chen JC,Wu HNdoi
10.1016/j.jbi.2020.103499subject
Has Abstractpub_date
2020-08-01 00:00:00pages
103499eissn
1532-0464issn
1532-0480pii
S1532-0464(20)30127-1journal_volume
108pub_type
杂志文章abstract:OBJECTIVE:To outline new design directions for informatics solutions that facilitate personal discovery with self-monitoring data. We investigate this question in the context of chronic disease self-management with the focus on type 2 diabetes. MATERIALS AND METHODS:We conducted an observational qualitative study of d...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2017.09.013
更新日期:2017-12-01 00:00:00
abstract::Protein name recognition aims to detect each and every protein names appearing in a PubMed abstract. The task is not simple, as the graphic word boundary (space separator) assumed in conventional preprocessing does not necessarily coincide with the protein name boundary. Such boundary disagreement caused by tokenizati...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
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abstract:BACKGROUND:The majority of current medical CBIR systems perform retrieval based only on "imaging signatures" generated by extracting pixel-level quantitative features, and only rarely has a feedback mechanism been incorporated to improve retrieval performance. In addition, current medical CBIR approaches do not routine...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2018.07.002
更新日期:2018-08-01 00:00:00
abstract::Gene selection is important for cancer classification based on gene expression data, because of high dimensionality and small sample size. In this paper, we present a new gene selection method based on clustering, in which dissimilarity measures are obtained through kernel functions. It searches for best weights of ge...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
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abstract::Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications. However, few works exist which have benchmarked the performance of the deep learning models wit...
journal_title:Journal of biomedical informatics
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abstract::In the past, algorithms exploiting varying semantics in interactions between biological objects such as genes and diseases have been used in bioinformatics to uncover latent relationships within biological datasets. In this paper, we consider the algorithm Medusa in parallel with binary classification in order to find...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2018.07.005
更新日期:2018-08-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2009.04.004
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journal_title:Journal of biomedical informatics
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doi:10.1016/j.jbi.2016.10.010
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abstract::The term registry is widely used to refer to any database storing clinical information collected as a byproduct of patient care. Despite the use of this single characterizing term (registry), these databases exist in various forms and support functions ranging from biomedical informatics and clinical research, to publ...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2008.01.009
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journal_title:Journal of biomedical informatics
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doi:10.1016/j.jbi.2018.10.008
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2013.12.015
更新日期:2014-04-01 00:00:00
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journal_title:Journal of biomedical informatics
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doi:10.1016/j.jbi.2015.06.014
更新日期:2015-12-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2008.02.003
更新日期:2008-12-01 00:00:00
abstract::With the rise in chronic, behavior-related disease, computerized behavioral protocols (CBPs) that help individuals improve behaviors have the potential to play an increasing role in the future health of society. To be effective and widely used CBPs should be based on accepted behavioral theory. However, designing CBPs...
journal_title:Journal of biomedical informatics
pub_type: 临床试验,杂志文章
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更新日期:2005-08-01 00:00:00
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更新日期:2020-03-01 00:00:00
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journal_title:Journal of biomedical informatics
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doi:10.1016/j.jbi.2007.09.002
更新日期:2008-04-01 00:00:00
abstract::Identification of co-referent entity mentions inside text has significant importance for other natural language processing (NLP) tasks (e.g. event linking). However, this task, known as co-reference resolution, remains a complex problem, partly because of the confusion over different evaluation metrics and partly beca...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2013.03.007
更新日期:2013-06-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2009.10.003
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abstract::The class of continuous time Bayesian network classifiers is defined; it solves the problem of supervised classification on multivariate trajectories evolving in continuous time. The trajectory consists of the values of discrete attributes that are measured in continuous time, while the predicted class is expected to ...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2012.07.002
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journal_title:Journal of biomedical informatics
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doi:10.1016/j.jbi.2014.01.005
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journal_title:Journal of biomedical informatics
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doi:10.1016/j.jbi.2015.06.024
更新日期:2015-12-01 00:00:00
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2003.09.016
更新日期:2003-08-01 00:00:00
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journal_title:Journal of biomedical informatics
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更新日期:2015-04-01 00:00:00
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journal_title:Journal of biomedical informatics
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doi:10.1016/j.jbi.2017.06.001
更新日期:2017-08-01 00:00:00
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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