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11. 发明授权

US08478535B2 Systems and methods that utilize machine learning algorithms to facilitate assembly of aids vaccine cocktails 有权
标题翻译：利用机器学习算法方便装配疫苗鸡尾酒的系统和方法
公开(公告)号：US08478535B2
公开(公告)日：2013-07-02
申请号：US11324506
申请日：2005-12-30
申请人： Nebojsa Jojic , Vladimir Jojic , David E. Heckerman , Brendan John Frey , Christopher A. Meek
发明人： Nebojsa Jojic , Vladimir Jojic , David E. Heckerman , Brendan John Frey , Christopher A. Meek
IPC分类号： G01N33/50
CPC分类号： G06F19/22 , G06F19/14 , G06F19/18 , G06F19/24 , G06G7/48 , G06G7/58
摘要： The subject invention provides systems and methods that facilitate AIDS vaccine cocktail assembly via machine learning algorithms such as a cost function, a greedy algorithm, an expectation-maximization (EM) algorithm, etc. Such assembly can be utilized to generate vaccine cocktails for species of pathogens that evolve quickly under immune pressure of the host. For example, the systems and methods of the subject invention can be utilized to facilitate design of T cell vaccines for pathogens such HIV. In addition, the systems and methods of the subject invention can be utilized in connection with other applications, such as, for example, sequence alignment, motif discovery, classification, and recombination hot spot detection. The novel techniques described herein can provide for improvements over traditional approaches to designing vaccines by constructing vaccine cocktails with higher epitope coverage, for example, in comparison with cocktails of consensi, tree nodes and random strains from data.
摘要翻译：本发明提供了通过诸如成本函数，贪心算法，期望最大化（EM）算法等机器学习算法来促进艾滋病疫苗鸡尾酒组合的系统和方法。可以利用这种装配来产生疫苗鸡尾酒，在宿主免疫压力下快速发展的病原体。例如，本发明的系统和方法可以用于促进用于诸如HIV的病原体的T细胞疫苗的设计。此外，本发明的系统和方法可以与其他应用相结合使用，例如序列比对，基序发现，分类和重组热点检测。本文所述的新颖技术可以提供改进，以通过构建具有较高表位覆盖度的疫苗混合物来设计疫苗的传统方法，例如与来自数据的共同体，树节点和随机菌株的鸡尾酒相比。

12. 发明授权

US08000900B2 Association-based predictions of pathogen characteristics 有权
标题翻译：基于协会的病原特征预测
公开(公告)号：US08000900B2
公开(公告)日：2011-08-16
申请号：US11324634
申请日：2005-12-30
申请人： David E. Heckerman , Simon Mallal , Carl M. Kadie , Corey Benjamin Moore , Nebojsa Jojic
发明人： David E. Heckerman , Simon Mallal , Carl M. Kadie , Corey Benjamin Moore , Nebojsa Jojic
IPC分类号： G01N33/50 , G01N31/00
CPC分类号： G06F19/22 , C12Q1/6883 , C12Q2537/165 , G06F19/00 , G06F19/14 , G06F19/18 , G06F19/24 , G16H50/20 , Y02A90/26
摘要： A system comprising a machine learning classifier trained on a plurality of associations between a host and a pathogen to predict a pathogen characteristic is described herein. The pathogen characteristic can relate to a disease state of the host. Computer-executable instructions for performing a method of forecasting a portion of a target molecule anticipated to influence an organism's condition also are described herein. The method comprises employing population data to automatically analyze one or more areas of the target molecule to determine the portion of the target molecule anticipated to influence the organism's condition. The population data can pertain to at least one relationship between at least one diverse organism trait and the target molecule. One or more epitopes forecast by employing the method also are contemplated.
摘要翻译：这里描述了一种系统，其包括由主机和病原体之间的多个关联训练的机器学习分类器来预测病原体特征。病原体特征可以与宿主的疾病状态有关。本文还描述了用于执行预测影响生物体状况的目标分子的一部分的预测方法的计算机可执行指令。该方法包括使用群体数据来自动分析目标分子的一个或多个区域以确定预期影响生物体状况的目标分子的部分。人口数据可以涉及至少一种不同的生物性状和目标分子之间的至少一种关系。也考虑了采用该方法预测的一个或多个表位。

13. 发明授权

US08605089B1 Data visualization using association networks 有权
标题翻译：使用关联网络的数据可视化
公开(公告)号：US08605089B1
公开(公告)日：2013-12-10
申请号：US09781727
申请日：2001-02-12
申请人： David E. Heckerman , Christopher A. Meek
发明人： David E. Heckerman , Christopher A. Meek
IPC分类号： G06T11/20 , G06T11/40 , G09G5/20
CPC分类号： G06T11/206 , G06F17/30994 , G06T11/203 , G06T11/40 , G09G5/20
摘要： A system and method are employed to construct an association network to visualize relationships between variables of a data set. The relationships characterized by the association network may include symmetric or asymmetric measures of association between variables learned from the data. The association network includes nodes, which represent variables, and edges, which represent associations between variables. As a result, the association network helps a user to visualize useful information from data according to the determined measure of association.
摘要翻译：采用系统和方法来构建关联网络以可视化数据集的变量之间的关系。由关联网络表征的关系可以包括从数据中学习的变量之间的关联的对称或非对称度量。关联网络包括表示变量的节点和表示变量之间的关联的边。结果，关联网络帮助用户根据确定的关联度量可视化数据中的有用信息。

14. 发明授权

US08182424B2 Diary-free calorimeter 有权
标题翻译：无日记热量计
公开(公告)号：US08182424B2
公开(公告)日：2012-05-22
申请号：US12051431
申请日：2008-03-19
申请人： David E. Heckerman
发明人： David E. Heckerman
IPC分类号： A61B5/00
CPC分类号： A61B5/0002 , A61B5/02055 , A61B5/02438 , A61B5/0531 , A61B5/11 , A61B5/1112 , A61B5/222 , A61B5/4866 , A61B5/681 , A61B5/7267 , A61B2503/10 , G06F19/00 , G06F19/3475 , G06F19/3481 , G16H40/63 , G16H50/50
摘要： An indirect calorimeter estimates nutritional caloric intake by periodically monitoring weight and sensing physical exercise (i.e., physiological data and/or motion data related to physical exertion), which can then be used in a calorimetry model derived from regression analysis of a population (e.g., linear regression, feed-forward neural network, Gaussian process, boosted regression tree, etc.). A strap-on user device for tracking exercise can detect one or more of heart rate, body temperature, skin resistance, motion/acceleration sensing (e.g., pedometer, accelerometer), velocity sensing (e.g., global positioning system (GPS)), and an intelligent, integrated exercise machine (e.g., treadmill, exercise bike, etc.). To gain further fidelity, the user can fine-tune the estimate by undergoing a journal-based routine for a relatively short period of time or clinical calorimetry measurement (e.g., respiratory calorimeter), thereby providing a baseline for resting or exercising metabolic rate.
摘要翻译：间接热量计通过定期监测体重和感测身体运动（即与身体运动相关的生理数据和/或运动数据）来估计营养热量摄入量，然后可用于从人口回归分析得出的量热法模型（例如，线性回归，前馈神经网络，高斯过程，提升回归树等）。用于跟踪运动的绑带用户设备可以检测心率，体温，皮肤电阻，运动/加速度感测（例如，计步器，加速度计），速度感测（例如，全球定位系统（GPS））中的一个或多个，以及一个智能的综合运动器材（如跑步机，运动自行车等）。为了获得进一步的保真度，用户可以通过在相对短的时间段内进行基于日志的例程或临床量热测量（例如，呼吸量热计）来微调估计，由此提供用于休息或行使代谢率的基线。

15. 发明授权

US08050870B2 Identifying associations using graphical models 有权
标题翻译：使用图形模型识别关联
公开(公告)号：US08050870B2
公开(公告)日：2011-11-01
申请号：US11622895
申请日：2007-01-12
申请人： David E. Heckerman , Jonathan M. Carlson , Carl M. Kadie
发明人： David E. Heckerman , Jonathan M. Carlson , Carl M. Kadie
IPC分类号： G01N33/48 , G06F19/14 , G06F19/00
CPC分类号： G06F19/14
摘要： Statistical models for identifying associations are described herein. By way of example, a system for identifying associations between variables can include a model builder and an association identifier. The model builder can receive observations about the variables and generate a null model and a non-null model. The association identifier can assess the strength of the association between the variables by determining how much the non-null model better explains the observed data than the null model. Additionally or alternatively, the structure of the observed data can be inferred simultaneously with the statistical model.
摘要翻译：本文描述了用于识别关联的统计模型。作为示例，用于识别变量之间的关联的系统可以包括模型构建器和关联标识符。模型构建器可以接收关于变量的观察结果，并生成空模型和非空模型。关联标识符可以通过确定非空模型比空模型更好地解释观察到的数据，来评估变量之间关联的强度。另外或替代地，观察数据的结构可以与统计模型同时推断。

16. 发明授权

US07908151B2 Get prep questions to ask doctor 有权
标题翻译：准备问问医生
公开(公告)号：US07908151B2
公开(公告)日：2011-03-15
申请号：US11864599
申请日：2007-09-28
申请人： David E. Heckerman , Pablo Argon , Behrooz Chitsaz , Hong L. Choing , James R. Hamilton , Nuria M. Oliver , Vladimir G. Sadovsky , Chris Demetrios Karkanias , Hurbert Van Hoof , Oren Rosenbloom
发明人： David E. Heckerman , Pablo Argon , Behrooz Chitsaz , Hong L. Choing , James R. Hamilton , Nuria M. Oliver , Vladimir G. Sadovsky , Chris Demetrios Karkanias , Hurbert Van Hoof , Oren Rosenbloom
IPC分类号： G06Q10/00 , G06Q50/00
CPC分类号： G06Q50/22 , G06F19/00 , G06Q50/24 , G16H10/20 , G16H50/20
摘要： The claimed subject matter provides a system and/or a method that facilitates dynamically providing a question to ask a medical professional during an appointment. An interface can receive a portion of medical data. A counselor component can generate a question based on the portion of medical data, wherein the question is generated to elicit an answer from a medical professional during an appointment. Moreover, the counselor component can dynamically generate a second question directed toward the medical professional based upon at least one of the answer or a value of information (VOI) computation.
摘要翻译：所要求保护的主题提供了一种系统和/或方法，其有助于动态地提供在约会期间向医疗专业人员提问的问题。接口可以接收一部分医疗数据。顾问组件可以基于医疗数据的部分产生问题，其中产生问题以在任命期间从医疗专业人员引出答案。此外，顾问组件可以基于答案或信息值（VOI）计算中的至少一个来动态地产生针对医疗专业人员的第二个问题。

17. 发明申请

US20100113983A1 UTILIZING ULTRASOUND TO DISRUPT PATHOGENS 审中-公开
标题翻译：利用超声波破坏病变
公开(公告)号：US20100113983A1
公开(公告)日：2010-05-06
申请号：US12262881
申请日：2008-10-31
申请人： David E. Heckerman , Simon John Mercer , Chris Demetrios Karkanias , Eric J. Horvitz
发明人： David E. Heckerman , Simon John Mercer , Chris Demetrios Karkanias , Eric J. Horvitz
IPC分类号： A61H1/00
CPC分类号： A61N7/00 , A61B17/22004 , A61B17/225 , A61N2007/0073
摘要： Provided are systems and/or methods that treat illnesses and conditions using ultrasound tuned to a resonant frequency of a target material with the assistance of computer processing. The ultrasound tuned to the resonance frequency of a target material destroys the target material without harming healthy material that surrounds the target material. A resonance frequency database can be employed to ensure that local healthy material surrounding a target has a natural resonance frequency dissimilar enough from the tuned resonance frequency.
摘要翻译：提供的是在计算机处理的帮助下使用调谐到目标材料的谐振频率的超声波治疗疾病和病症的系统和/或方法。调谐到目标材料的共振频率的超声波会破坏目标材料，而不会损害围绕目标材料的健康材料。可以采用共振频率数据库来确保目标周围的局部健康材料具有与调谐的共振频率不相似的天然共振频率。

18. 发明申请

US20100088380A1 MESSAGE RENDERING FOR IDENTIFICATION OF CONTENT FEATURES 有权
标题翻译：用于识别内容特征的消息呈现
公开(公告)号：US20100088380A1
公开(公告)日：2010-04-08
申请号：US12359126
申请日：2009-01-23
申请人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
发明人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
IPC分类号： G06F21/00 , G06F15/16
CPC分类号： G06Q10/107 , H04L51/12
摘要： Architecture for detecting and removing obfuscating clutter from the subject and/or body of a message, e.g., e-mail, prior to filtering of the message, to identify junk messages commonly referred to as spam. The technique utilizes the powerful features built into an HTML rendering engine to strip the HTML instructions for all non-substantive aspects of the message. Pre-processing includes pre-rendering of the message into a final format, which final format is that which is displayed by the rendering engine to the user. The final format message is then converted to a text-only format to remove graphics, color, non-text decoration, and spacing that cannot be rendered as ASCII-style or Unicode-style characters. The result is essentially to reduce each message to its common denominator essentials so that the junk mail filter can view each message on an equal basis.
摘要翻译：用于在过滤消息之前检测和去除来自主体和/或消息主体（例如电子邮件）的模糊杂波的体系结构，以识别通常被称为垃圾邮件的垃圾邮件。该技术利用内置于HTML呈现引擎中的强大功能来剥离消息的所有非实质性方面的HTML指令。预处理包括将消息预渲染成最终格式，最终格式是由呈现引擎向用户显示的最终格式。最终格式化消息然后转换为纯文本格式以删除不能以ASCII样式或Unicode风格字符呈现的图形，颜色，非文本装饰和间距。结果基本上是将每个消息减少到其公分要素，以便垃圾邮件过滤器可以在平等的基础上查看每个消息。

19. 发明授权

US07640313B2 Adaptive junk message filtering system 有权
标题翻译：自适应垃圾邮件过滤系统
公开(公告)号：US07640313B2
公开(公告)日：2009-12-29
申请号：US11779263
申请日：2007-07-17
申请人： Robert L. Rounthwaite , Joshua T. Goodman , David E. Heckerman , John C. Platt , Carl M. Kadie
发明人： Robert L. Rounthwaite , Joshua T. Goodman , David E. Heckerman , John C. Platt , Carl M. Kadie
IPC分类号： G06F15/16 , G06F15/173
CPC分类号： G06Q10/107 , H04L51/12
摘要： The invention relates to a system for filtering messages—the system includes a seed filter having associated therewith a false positive rate and a false negative rate. A new filter is also provided for filtering the messages, the new filter is evaluated according to the false positive rate and the false negative rate of the seed filter, the data used to determine the false positive rate and the false negative rate of the seed filter are utilized to determine a new false positive rate and a new false negative rate of the new filter as a function of threshold. The new filter is employed in lieu of the seed filter if a threshold exists for the new filter such that the new false positive rate and new false negative rate are together considered better than the false positive and the false negative rate of the seed filter.
摘要翻译：本发明涉及一种用于过滤消息的系统 - 该系统包括具有与其相关联的假阳性率和假阴性率的种子滤波器。还提供了一种过滤消息的新过滤器，根据种子过滤器的假阳性率和假阴性率评估新过滤器，用于确定种子过滤器的假阳性率和假阴性率的数据用于确定新过滤器的新的假阳性率和新的假阴性率作为阈值的函数。如果新的过滤器存在阈值，则使用新的过滤器来代替种子过滤器，使得新的假阳性率和新的假阴性率一起被认为优于种子过滤器的假阳性率和假阴性率。

20. 发明申请

US20090240113A1 DIARY-FREE CALORIMETER 有权
标题翻译：无数字电脑
公开(公告)号：US20090240113A1
公开(公告)日：2009-09-24
申请号：US12051431
申请日：2008-03-19
申请人： David E. Heckerman
发明人： David E. Heckerman
IPC分类号： A61B5/00 , A61B5/103
CPC分类号： A61B5/0002 , A61B5/02055 , A61B5/02438 , A61B5/0531 , A61B5/11 , A61B5/1112 , A61B5/222 , A61B5/4866 , A61B5/681 , A61B5/7267 , A61B2503/10 , G06F19/00 , G06F19/3475 , G06F19/3481 , G16H40/63 , G16H50/50
摘要： An indirect calorimeter estimates nutritional caloric intake by periodically monitoring weight and sensing physical exercise (i.e., physiological data and/or motion data related to physical exertion), which can then be used in a calorimetry model derived from regression analysis of a population (e.g., linear regression, feed-forward neural network, Gaussian process, boosted regression tree, etc.). A strap-on user device for tracking exercise can detect one or more of heart rate, body temperature, skin resistance, motion/acceleration sensing (e.g., pedometer, accelerometer), velocity sensing (e.g., global positioning system (GPS)), and an intelligent, integrated exercise machine (e.g., treadmill, exercise bike, etc.). To gain further fidelity, the user can fine-tune the estimate by undergoing a journal-based routine for a relatively short period of time or clinical calorimetry measurement (e.g., respiratory calorimeter), thereby providing a baseline for resting or exercising metabolic rate.
摘要翻译：间接热量计通过定期监测体重和感测身体运动（即与身体运动相关的生理数据和/或运动数据）来估计营养热量摄入量，然后可用于从人口回归分析得出的量热法模型（例如，线性回归，前馈神经网络，高斯过程，提升回归树等）。用于跟踪运动的绑带用户设备可以检测心率，体温，皮肤电阻，运动/加速度感测（例如，计步器，加速度计），速度感测（例如，全球定位系统（GPS））中的一个或多个，以及一个智能的综合运动器材（如跑步机，运动自行车等）。为了获得进一步的保真度，用户可以通过在相对短的时间段内进行基于日志的例程或临床量热测量（例如，呼吸量热计）来微调估计，由此提供用于休息或行使代谢率的基线。

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