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公开(公告)号：US20060047441A1
公开(公告)日：2006-03-02
申请号：US11215635
申请日：2005-08-30
申请人： Ramin Homayouni , Michael Berry , Kevin Heinrich , Lai Wei
发明人： Ramin Homayouni , Michael Berry , Kevin Heinrich , Lai Wei
IPC分类号： G06F19/00
CPC分类号： G16B50/00
摘要： A semantic gene classification and annotation system, method and computer program can utilize Latent Semantic Indexing (LSI) to identify conceptually related genes based on textual information in biomedical literature, including MEDLINE citations. In addition, term weights calculated from the usage of the gene terms in and across gene documents can be used to automatically assign gene aliases and extend gene function annotation based upon primary biomedical literature.
摘要翻译： 语义基因分类和注释系统，方法和计算机程序可以利用潜在语义索引（LSI）基于生物医学文献中的文本信息来识别与概念相关的基因，包括MEDLINE引文。 另外，根据基因文献中和跨基因文献的基因术语的使用计算的术语权重可用于自动分配基因别名并扩展基于主要生物医学文献的基因功能注释。
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公开(公告)号：US20200265323A1
公开(公告)日：2020-08-20
申请号：US16280099
申请日：2019-02-20
摘要： The present invention is a modeling system and process for predicting individual outcomes and conditions from written database records of a population of individuals, using iterative variation of parameters. Individual subject documents are created by concatenation of unstructured text fields from the written database records of individuals, and these are processed using Natural Language Processing. An individual subject document corpus is built, and terms in the corpus are weighted and mapped to standard vocabularies. A term-by-document matrix is built and its dimensionality is reduced by Latent Semantic Indexing. Individual and term queries are combined and scored, producing a ranked list. The parameters of the model are iteratively optimized for an input list of individuals with corresponding condition, action, or outcome score values.
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3.发明申请公开(公告)号：US20180173850A1
公开(公告)日：2018-06-21
申请号：US15386045
申请日：2016-12-21
IPC分类号： G06F19/00
摘要： This document presents a system and method to extract highly meaningful terms from unstructured fields in an EMR that distinguish two different patient populations. Using this system, healthcare providers can quickly identify terms that are highly associated with a specific set of patients, for instance, chronic heart failure (CHF) patients who are high utilizers of the emergency department (ED) compared to CHF patients with low ED utilization. The system enables healthcare providers to identify root causes of health outcomes and to discover potential targets for intervention and improving healthcare delivery.
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公开(公告)号：US6083695A
公开(公告)日：2000-07-04
申请号：US859954
申请日：1997-05-21
CPC分类号： C12Q1/6869
摘要： A novel method of primer walking using octamer oligonucleotides to prime DNA sequencing reactions is described. Octamer sequencing is compatible with isotopic and fluorescent sequencing chemistry, reaction conditions are optimized such that the samples can be processed in parallel and the procedures are automated. This strategy is faster than the traditional primer walking sequencing strategy as the existence of a primer library allows immediate access to a primer for the next sequencing reaction, eliminating delays associated with designing and synthesizing gene specific primers. The octamer library is comprised of optimized sequencing primers, such that octamer sequencing yields results equivalent to or better than traditional primer walking.
摘要翻译： 描述了使用八聚体寡核苷酸引入DNA测序反应的引物步行的新颖方法。 八聚体测序与同位素和荧光测序化学物质兼容，反应条件得到优化，使得样品可以并行处理，程序自动化。 该策略比传统的引物走向测序策略更快，因为引物文库的存在允许立即进入下一个测序反应的引物，消除与设计和合成基因特异性引物相关的延迟。 八聚体文库由优化的测序引物组成，使得八聚体测序产生等同于或优于传统引物步行的结果。
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