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    Generating high-level questions from sentences
    1.
    发明授权
    Generating high-level questions from sentences 有权

    公开(公告)号：US10769958B2

    公开(公告)日：2020-09-08

    申请号：US16524798

    申请日：2019-07-29

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Lucretia H. Vanderwende ,  Sumit Basu ,  Charles E. Jacobs ,  Junyi Li

    IPC: G09B7/00 ,  G06F16/332

    Abstract: Questions about a passage of text that includes a sequence of two or more sentences are generated. Each question covers the content of a plurality of sentences in the passage, and includes a context portion of the passage and a question statement that is contextually related to the context portion of the passage. A user is also provided with questions about a passage of text they are reading. Each question is presented to the user, where this presentation includes displaying the context portion of the passage and the question statement that is contextually related to the context portion of the passage.

    GENERATING HIGH-LEVEL QUESTIONS FROM SENTENCES
    2.
    发明申请
    GENERATING HIGH-LEVEL QUESTIONS FROM SENTENCES 审中-公开

    公开(公告)号：US20190355267A1

    公开(公告)日：2019-11-21

    申请号：US16524798

    申请日：2019-07-29

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Lucretia H. Vanderwende ,  Sumit Basu ,  Charles E. Jacobs ,  Junyi Li

    IPC: G09B7/00 ,  G06F16/332

    Abstract: Questions about a passage of text that includes a sequence of two or more sentences are generated. Each question covers the content of a plurality of sentences in the passage, and includes a context portion of the passage and a question statement that is contextually related to the context portion of the passage. A user is also provided with questions about a passage of text they are reading. Each question is presented to the user, where this presentation includes displaying the context portion of the passage and the question statement that is contextually related to the context portion of the passage.

    MACHINE-LEARNING MODELS FOR PREDICTING DECOMPENSATION RISK
    3.
    发明申请
    MACHINE-LEARNING MODELS FOR PREDICTING DECOMPENSATION RISK 审中-公开

    公开(公告)号：US20180203978A1

    公开(公告)日：2018-07-19

    申请号：US15406591

    申请日：2017-01-13

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Sumit Basu ,  Jeremiah Wander ,  Daniel Morris

    IPC: G06F19/00 ,  G06N99/00 ,  G06N7/00

    CPC classification number: G16H50/30 ,  G06N7/005 ,  G06N20/00 ,  G16H50/20 ,  G16H50/70

    Abstract: A method for determining a risk of decompensated heart failure in a user includes receiving a first set of data that is fixed with respect to time. A machine-learning model generates one or more initial risk factors based on the first set of data. A second set of data for the user that dynamically updates over time is received from a wearable cardiovascular physiology monitor. The machine-learning model is used to generate dynamic data classifiers based on the one or more initial risk factors. Aggregate risk scores for the user are then indicated based on an evaluation of the second set of data against the dynamic data classifiers. In this way, static electronic medical records may be combined with dynamic, real-time data from wearable cardiovascular physiology monitors to provide an accurate and continuously updating risk of decompensated heart failure for a user.

    WEARABLE TONOMETER WITH RESILIENTLY DEFORMABLE PAD
    5.
    发明申请
    WEARABLE TONOMETER WITH RESILIENTLY DEFORMABLE PAD 审中-公开

    公开(公告)号：US20180199830A1

    公开(公告)日：2018-07-19

    申请号：US15406508

    申请日：2017-01-13

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Sumit Basu ,  Matthew Mickelson ,  T. Scott Saponas ,  Sidhant Gupta ,  Ronald E. Paulsen

    IPC: A61B5/021 ,  A61B5/00

    CPC classification number: A61B5/02108 ,  A61B5/02141 ,  A61B5/02241 ,  A61B5/6831 ,  A61B5/6843

    Abstract: A wearable tonometer is provided, comprising a sensing device. The sensing device may include a pressure sensor configured to measure a pulse pressure wave in an artery of user. The sensing device may include a resiliently deformable pad or pad-cap structure positioned on a sensing surface side of the pressure sensor and configured to contact skin of the user proximate the artery. The wearable tonometer may include a band that holds the sensing device in contact with the skin. In some embodiments, the sensing device may include a rigid internal structure configured to transmit the pulse pressure wave. In some embodiments, the wearable tonometer may include an adjustment mechanism configured to move the sensing device relative to the band. In some embodiments, the wearable tonometer may include a second resiliently deformable pad-cap structure, and a solid plate attached to the resiliently deformable pad-cap structures and the band.

    BLOOD PRESSURE ESTIMATION BY WEARABLE COMPUTING DEVICE
    7.
    发明申请
    BLOOD PRESSURE ESTIMATION BY WEARABLE COMPUTING DEVICE 审中-公开

    公开(公告)号：US20180116600A1

    公开(公告)日：2018-05-03

    申请号：US15443969

    申请日：2017-02-27

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Sumit Basu ,  Daniel Morris ,  Jeremiah Wander

    IPC: A61B5/00 ,  A61B5/022 ,  A61B5/021 ,  A61B5/0245 ,  A61B5/0402 ,  A61B5/024

    Abstract: According to one aspect of the present disclosure, a method for estimating blood pressure is provided, comprising training a machine learning model on a cohort data set. The cohort data set may include subject-specific contextual data, time-varying features, and blood pressure measurements for a plurality of subjects. The method may include receiving contextual data for a specific subject, wherein the contextual data includes medical history data of the subject. The method may further include personalizing the machine learning model to the subject based on the contextual data. The method may include calibrating the machine learning model to the subject based on a set of time-varying features and blood pressure measurements of the subject. In addition, the method may include using the machine learning model and the time-varying features for the subject to generate a blood pressure estimate.

    Ontology-Crowd-Relevance Deep Response Generation
    8.
    发明申请
    Ontology-Crowd-Relevance Deep Response Generation 审中-公开
    本体 - 人群相关深度响应一代

    公开(公告)号：US20160342685A1

    公开(公告)日：2016-11-24

    申请号：US14720278

    申请日：2015-05-22

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Sumit Basu ,  Lucretia Vanderwende ,  Igor I. Labutov

    IPC: G06F17/30

    CPC classification number: G06F17/30734

    Abstract: Generating responses to input utilizing an ontology-crowd-relevance methodology is described. The techniques described herein access a plurality of data items and determine an ontology associated with the plurality of data items. The ontology includes one or more ontological elements. Furthermore, the techniques describe sending, to a plurality of devices, a request to generate response templates based on the one or more ontological elements and receiving, from the plurality of devices, the response templates directed to the one or more ontological elements.

    Abstract translation: 描述了使用本体聚集相关性方法生成对输入的响应。 本文描述的技术访问多个数据项并确定与多个数据项相关联的本体。 本体论包括一个或多个本体论元素。 此外，技术描述了向多个设备发送基于一个或多个本体元素生成响应模板的请求，并从多个设备接收针对一个或多个本体元素的响应模板。

    Generating high-level questions from sentences
    9.
    发明授权
    Generating high-level questions from sentences 有权

    公开(公告)号：US10366621B2

    公开(公告)日：2019-07-30

    申请号：US14469529

    申请日：2014-08-26

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Lucretia H. Vanderwende ,  Sumit Basu ,  Charles E. Jacobs ,  Junyi Li

    IPC: G09B7/00 ,  G06F16/332

    Abstract: Questions about a passage of text that includes a sequence of two or more sentences are generated. Each question covers the content of a plurality of sentences in the passage, and includes a context portion of the passage and a question statement that is contextually related to the context portion of the passage. A user is also provided with questions about a passage of text they are reading. Each question is presented to the user, where this presentation includes displaying the context portion of the passage and the question statement that is contextually related to the context portion of the passage.

    WEARABLE PULSE SENSING DEVICE SIGNAL QUALITY ESTIMATION
    10.
    发明申请
    WEARABLE PULSE SENSING DEVICE SIGNAL QUALITY ESTIMATION 审中-公开
    可靠的脉冲感测装置信号质量估计

    公开(公告)号：US20160287110A1

    公开(公告)日：2016-10-06

    申请号：US14750037

    申请日：2015-06-25

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Daniel Morris ,  Sumit Basu ,  Jeremiah Wander ,  Gregory R. Smith ,  T. Scott Saponas

    IPC: A61B5/024 ,  A61B5/00

    Abstract: A first data window of a pulse waveform signal comprising a first number of samples is analyzed to determine a level of confidence that a pulse sensing device is placed correctly. If an initial level of confidence is met, the user is given positive feedback, and a second data window of a pulse waveform signal comprising a second, larger number of samples is analyzed. If an increased level of confidence is met, the user is given increased positive feedback. If a level of confidence is not met, the user is given negative feedback. If a final level of confidence is met, the user is given feedback that the pulse sensing device is placed correctly.

    Abstract translation: 分析包括第一数量样本的脉搏波形信号的第一数据窗口，以确定脉冲感测装置被正确放置的置信度。 如果满足初始置信水平，则给予用户正反馈，并且分析包括第二较大数量样本的脉搏波形信号的第二数据窗口。 如果满足增加的置信水平，则给予用户更多的积极反馈。 如果不满足置信水平，则给予用户负面反馈。 如果满足最后的置信水平，则给予用户反馈，使脉冲感测装置正确放置。

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