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1.发明申请公开(公告)号：US20190034589A1
公开(公告)日：2019-01-31
申请号：US15690703
申请日：2017-08-30
Applicant: Google Inc.
Inventor： Kai Chen , Patrik Sundberg , Alexander Mossin , Nissan Hajaj , Kurt Litsch , James Wexler , Yi Zhang , Kun Zhang , Jacob Marcus , Eyal Oren , Hector Yee , Jeffrey Dean , Michaela Hardt , Benjamin Irvine , James Wilson , Andrew Dai , Peter Liu , Xiaomi Sun , Quoc Le , Xiaobing Liu , Alvin Rajkomar , Gregory Corrado , Gerardo Flores , Yingwei Cui , Gavin Duggan
Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.
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公开(公告)号：US08738357B2
公开(公告)日：2014-05-27
申请号：US13657313
申请日：2012-10-22
Applicant: Google Inc.
Inventor： Franz Josef Och , Jeffrey Dean , Thorsten Brants , Alexander Mark Franz , Jay Ponte , Peng Xu , Sha-Mayn Teh , Jeffrey Chin , Ignacio E. Thayer , Anton Carver , Daniel Rosart , John S. Hawkins , Karel Driesen
IPC: G06F17/28
CPC classification number: G06F17/289 , G06F17/2818 , G06F17/2836 , G06F17/2845
Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
Abstract translation: 用于在自动机器处理中访问分布式模型的系统，方法和装置，包括在机器翻译，语音识别和其他应用中使用大型语言模型。
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公开(公告)号：US10210256B2
公开(公告)日：2019-02-19
申请号：US15088670
申请日：2016-04-01
Applicant: Google Inc.
Inventor： Huican Zhu , Jeffrey Dean , Sanjay Ghemawat , Bwolen Po-Jen Yang , Anurag Acharya
Abstract: Provided is a method and system for indexing documents in a collection of linked documents. A link log, including one or more pairings of source documents and target documents is accessed. A sorted anchor map, containing one or more target document to source document pairings, is generated. The pairings in the sorted anchor map are ordered based on target document identifiers.
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公开(公告)号：US20170212887A1
公开(公告)日：2017-07-27
申请号：US15480722
申请日：2017-04-06
Applicant: Google Inc.
Inventor： Franz Josef Och , Jeffrey Dean , Thorsten Brants , Alexander Mark Franz , Jay Ponte , Peng Xu , Sha-Mayn Teh , Jeffrey Chin , Ignacio E. Thayer , Anton Carver , Daniel Rosart , John S. Hawkins , Karel Driesen
IPC: G06F17/28
CPC classification number: G06F17/289 , G06F17/2818 , G06F17/2836 , G06F17/2845
Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
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公开(公告)号：US09619565B1
公开(公告)日：2017-04-11
申请号：US14816572
申请日：2015-08-03
Applicant: GOOGLE INC.
Inventor： Jeffrey Dean , Gautham K. Thambidorai , Sanjay Ghemawat , Benedict Anthony Gomes , Olcan Sercinoglu
IPC: G06F17/30
CPC classification number: G06F17/30864 , G06F17/30011 , G06F17/30371 , G06F17/30613
Abstract: A search engine server system receives from a client system a search query and identifies a set of documents in accordance with the search query. A content snippet corresponding to content in a respective document of the identified set of documents is generated, the content snippet associated with at least one query term of the one or more query terms in the search query. A response to the search query is returned to the client system, the response including information identifying at least the respective document and including the content snippet. Generating the content snippet includes performing a first decompression operation on first token identifiers, from a compressed document repository, to provide a set of second token identifiers, and performing a second decompression operation on the set of second token identifiers to recover uncompressed content comprising a portion of the respective document.
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Patent Agency Ranking
公开(公告)号：US09619465B2
公开(公告)日：2017-04-11
申请号：US14285693
申请日：2014-05-23
Applicant: Google Inc.
Inventor： Franz Josef Och , Jeffrey Dean , Thorsten Brants , Alexander Mark Franz , Jay Ponte , Peng Xu , Sha-Mayn Teh , Jeffrey Chin , Ignacio E. Thayer , Anton Carver , Daniel Rosart , John S. Hawkins , Karel Driesen
IPC: G06F17/28
CPC classification number: G06F17/289 , G06F17/2818 , G06F17/2836 , G06F17/2845
Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
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7.发明授权公开(公告)号：US09612883B2
公开(公告)日：2017-04-04
申请号：US14099806
申请日：2013-12-06
Applicant: Google Inc.
Inventor： Jeffrey Dean , Sanjay Ghemawat
CPC classification number: G06F17/30339 , G06F9/4881 , G06F9/54 , G06F17/30377 , G06F17/30445
Abstract: A large-scale data processing system and method for processing data in a distributed and parallel processing environment is disclosed. The system comprises a set of interconnected computing systems, each having one or more processors and memory. The set of interconnected computing systems include: a set of application-independent map modules for reading portions of input files containing data, and for producing intermediate data values by applying at least one user-specified, application-specific map operation to the data; a set of intermediate data structures distributed among a plurality of the interconnected computing systems for storing the intermediate data values; and a set of application-independent reduce modules, distinct from the plurality of application-independent map modules, for producing final output data by applying at least one user-specified, application-specific reduce operation to the intermediate data values.
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公开(公告)号：US09098501B2
公开(公告)日：2015-08-04
申请号：US13685581
申请日：2012-11-26
Applicant: Google Inc.
Inventor： Jeffrey Dean , Gauthaum K. Thambidorai , Sanjay Ghemawat , Benedict Anthony Gomes , Olcan Sercinoglu
IPC: G06F17/30
CPC classification number: G06F17/30864 , G06F17/30011 , G06F17/30371 , G06F17/30613
Abstract: A search engine server system receives from a client system a search query and identifies a set of documents in accordance with the search query. A content snippet corresponding to content in a respective document of the identified set of documents is generated, the content snippet associated with at least one query term of the one or more query terms in the search query. A response to the search query is returned to the client system, the response including information identifying at least the respective document and including the content snippet. Generating the content snippet includes performing a first decompression operation on first token identifiers, from a compressed document repository, to provide a set of second token identifiers, and performing a second decompression operation on the set of second token identifiers to recover uncompressed content comprising a portion of the respective document.
Abstract translation: 搜索引擎服务器系统从客户端系统接收搜索查询，并根据搜索查询识别一组文档。 产生对应于所识别的一组文档的相应文档中的内容的内容片段，该内容片段与搜索查询中的一个或多个查询词的至少一个查询词相关联。 对搜索查询的响应被返回到客户端系统，响应包括至少标识相应文档并且包括内容片段的信息。 生成内容片段包括对来自压缩文档库的第一令牌标识符执行第一解压缩操作，以提供一组第二令牌标识符，以及对所述第二令牌标识符集合执行第二解压缩操作，以恢复未压缩内容，其包括部分 的相关文件。
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公开(公告)号：US20140257787A1
公开(公告)日：2014-09-11
申请号：US14285693
申请日：2014-05-23
Applicant: Google Inc.
Inventor： Franz Josef Och , Jeffrey Dean , Thorsten Brants , Alexander Mark Franz , Jay Ponte , Peng Xu , Sha-Mayn Teh , Jeffrey Chin , Ignacio E. Thayer , Anton Carver , Daniel Rosart , John S. Hawkins , Karel Driesen
IPC: G06F17/28
CPC classification number: G06F17/289 , G06F17/2818 , G06F17/2836 , G06F17/2845
Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
Abstract translation: 用于在自动机器处理中访问分布式模型的系统，方法和装置，包括在机器翻译，语音识别和其他应用中使用大型语言模型。
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10.发明申请公开(公告)号：US20190034591A1
公开(公告)日：2019-01-31
申请号：US15690721
申请日：2017-08-30
Applicant: Google Inc.
Inventor： Alexander Mossin , Alvin Rajkomar , Eyal Oren , James Wilson , James Wexler , Patrik Sundberg , Andrew Dai , Yingwei Cui , Gregory Corrado , Hector Yee , Jacob Marcus , Jeffrey Dean , Benjamin Irvine , Kai Chen , Kun Zhang , Michaela Hardt , Xiaomi Sun , Nissan Hajaj , Peter Liu , Quoc Le , Xiaobing Liu , Yi Zhang
Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.
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