公开(公告)号：US20100274751A1

公开(公告)日：2010-10-28

申请号：US12774991

申请日：2010-05-06

Applicant: Michael Blomquist

Inventor： Michael Blomquist

IPC: G06N5/02 ,  G06F3/048 ,  G06F13/10 ,  A61B5/15

CPC classification number: A61M5/1723 ,  A61M5/142 ,  A61M5/14244 ,  A61M2005/1726 ,  A61M2205/502 ,  A61M2205/507 ,  A61M2205/52 ,  G05B15/02 ,  G06F19/00 ,  G06F19/3468 ,  G06N5/027 ,  G06Q50/24 ,  G16H40/63 ,  G16H50/20

Abstract: An apparatus comprising a controller. The controller includes an input/output (I/O) module and a rule module. The I/O module is configured to present a question for a patient when communicatively coupled to a user interface and receive patient information in response to the question via the user interface. The rule module is configured to apply a rule to the patient information and generate a suggested insulin pump setting from application of the rule. Other devices, systems, and methods are disclosed.

Abstract translation: 一种包括控制器的装置。 控制器包括一个输入/输出（I / O）模块和一个规则模块。 I / O模块被配置为在通信地耦合到用户界面时呈现患者的问题，并且经由用户界面响应于该问题来接收患者信息。 规则模块被配置为将规则应用于患者信息，并从应用规则生成建议的胰岛素泵设置。 公开了其他设备，系统和方法。

公开(公告)号：US20080109392A1

公开(公告)日：2008-05-08

申请号：US11593962

申请日：2006-11-07

Applicant: Palash Nandy

Inventor： Palash Nandy

IPC: G06N5/02

CPC classification number: G06Q20/4016 ,  G06N3/126 ,  G06N5/02 ,  G06N5/025 ,  G06N5/027 ,  G06Q20/10 ,  G06Q20/405 ,  G06Q30/018

Abstract: Online fraud prevention including receiving a rules set to detect fraud, mapping the rules set to a data set, mapping success data to members of the rules set, filtering the members of the rules set, and ordering members of the data set by giving priority to those members of the data set with a greater probability for being fraudulent based upon the success data of each member of the rule set in detecting fraud. Further, a receiver coupled to an application server to receive a rules set to detect fraud, and a server coupled to the application server, to map the rules set to a data set, and to map the success data to each members of the rules set. The server is used to order the various members of the data set by giving priority to those members of the data set with a greatest probability for being fraudulent.

Abstract translation: 在线欺诈预防，包括接收检测欺诈的规则集，将规则集映射到数据集，将成功数据映射到规则集的成员，过滤规则集的成员，并通过优先考虑对数据集的成员进行排序 基于在检测欺诈中的规则集的每个成员的成功数据，数据集的成员具有更大的欺诈概率。 此外，耦合到应用服务器以接收用于检测欺诈的规则集合的接收器以及耦合到应用服务器的服务器将规则集映射到数据集，并将成功数据映射到规则集合的每个成员 。 服务器用于通过以最大的欺诈概率优先考虑数据集的成员来对数据集的各个成员进行排序。

公开(公告)号：US20020186864A1

公开(公告)日：2002-12-12

申请号：US10144021

申请日：2002-05-13

Applicant: Lockheed Martin Corporation

Inventor： Alfred T. Rundle ,  Lennart A. Saaf

IPC: G06K009/00

CPC classification number: G06K9/6227 ,  B07C7/005 ,  G06K9/325 ,  G06K9/6263 ,  G06K9/726 ,  G06K2209/01 ,  G06N5/027 ,  Y10S209/90

Abstract: A method to arbitrate between results obtained from observationally derived data by several procedures, where the results are items characteristic of the observationally derived data is disclosed. Each procedure is given a ranking according to the confidence on the procedure. The results and characteristics derived from the results are used in a plurality of rules, where the rules are used to arbitrate between the results.

Abstract translation: 披露了通过多个程序从观测派生数据获得的结果之间进行仲裁的方法，其中结果是观察性派生数据的特征项目。 根据对程序的信心，给出每个程序的排序。 从结果导出的结果和特征用于多个规则，其中规则用于在结果之间进行仲裁。

公开(公告)号：US5651101A

公开(公告)日：1997-07-22

申请号：US521588

申请日：1995-08-30

Applicant: Kazuyuki Gotoh ,  Kouichi Sasaki ,  Yasuko Tsutsumitake

Inventor： Kazuyuki Gotoh ,  Kouichi Sasaki ,  Yasuko Tsutsumitake

IPC: G06F12/00 ,  G06F9/44 ,  G06F17/30 ,  G06N5/02 ,  G06N5/04

CPC classification number: G06N5/027 ,  Y10S707/99938

Abstract: A method-to-derive-attribute-value is set of a procedure inherent to an attribute for deriving an attribute value at each attribute defined in each class in knowledge base. A data-for-value-derivation referred by the set method-to-derive-attribute-value is set at each class defined or inherited by the attribute independently from the method-to-derive-attribute-value. The attribute value is derived by referring to the data-for-value-derivation to be input as the specification of the instance by executing the method-to-derive-attribute-value when the instance is prepared as novel or altered, to thereby set the attribute value of each attribute of the instance.

Abstract translation: 方法导出属性值是在知识库中的每个类中定义的每个属性处导出属性值的属性固有的过程的集合。 由set-method-to-derived-attribute-value引用的数据导出值派生在每个由属性定义或继承的类中设置，独立于method-to-derived-attribute-value。 通过参考要输入的数据导出值作为实例的规范，通过在实例被准备为新颖或改变时执行方法到导出属性值来导出属性值，从而设置 实例的每个属性的属性值。

公开(公告)号：US5586317A

公开(公告)日：1996-12-17

申请号：US99860

申请日：1993-07-30

Applicant: Walter R. Smith

Inventor： Walter R. Smith

IPC: G06N5/02 ,  G06F9/40

CPC classification number: G06N5/027

Abstract: A method for implementing I/O in a frame-based computer system, including the steps of: a) determining whether there is a communication pertaining to a frame-based computer system; b) determining which frame the communication is associated with, if any; and c) causing the frame to implement a script, including sequence of computer-implemented process steps which causes with input to or output from the frame-based computer system. The frame-based computer system includes a CPU, a memory system coupled to the CPU, an input system coupled to the CPU, and an output system coupled to the CPU. A frame system stored in the memory system and implemented on the CPU provides a basic data structure for the frame-based computer system. A mechanism for detecting an output request initiated within the frame-based computer system causes an associated frame to execute a sequence of computer-implemented process steps to cause the output system to make an output. A mechanism for detecting an input from the input system causes an associated frame of the frame system to implement an input script, including a sequence of computer-implemented process steps, which causes an input into the frame system.

Abstract translation: 一种用于在基于帧的计算机系统中实现I / O的方法，包括以下步骤：a）确定是否存在与基于帧的计算机系统有关的通信; b）确定通信与哪个帧相关联;如果有的话; 以及c）使所述框架实现脚本，包括由基于帧的计算机系统的输入或输出引起的计算机实现的处理步骤的序列。 基于帧的计算机系统包括CPU，耦合到CPU的存储器系统，耦合到CPU的输入系统以及耦合到CPU的输出系统。 存储在存储器系统中并在CPU上实现的帧系统为基于帧的计算机系统提供了基本的数据结构。 用于检测在基于帧的计算机系统内发起的输出请求的机制使得相关联的帧执行计算机实现的处理步骤的序列，以使输出系统进行输出。 用于检测来自输入系统的输入的机构使得帧系统的相关帧实现输入脚本，包括一系列计算机实现的处理步骤，其导致对帧系统的输入。

公开(公告)号：US20240304182A1

公开(公告)日：2024-09-12

申请号：US18180432

申请日：2023-03-08

Applicant: The Toronto-Dominion Bank

Inventor： Gregory James HAMILTON ,  Na-Hyun Sophie PARK ,  Maryam KARBASI ,  Michael R.C. KEALEY ,  Matthew James LEE

IPC: G10L15/16 ,  G06N5/02 ,  G10L15/22

CPC classification number: G10L15/16 ,  G06N5/027 ,  G10L15/22 ,  G10L2015/221 ,  G10L2015/225

Abstract: A server computer system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to engage an artificial intelligence (AI) engine to analyze voice data to identify a string of commands; and generate at least one recommendation based on the string of commands; send, via the communications module to a first device, a signal causing the first device to output a message that includes the at least one recommendation; receive, via the communications module and from the first device, a signal that includes voice data for activating the at least one recommendation; and activate the at least one recommendation.

公开(公告)号：US12086589B2

公开(公告)日：2024-09-10

申请号：US17476982

申请日：2021-09-16

Applicant: Dell Products L.P.

Inventor： Tanvi Korlam ,  Girish Murthy ,  Ashok Nitin ,  Hariharan Suresh Babu ,  Navin Kumar Neithalath ,  Bijan Kumar Mohanty ,  Hung Dinh

IPC: G06F8/76 ,  G06F8/51 ,  G06F8/60 ,  G06N5/02 ,  G06N5/04

CPC classification number: G06F8/76 ,  G06F8/51 ,  G06F8/60 ,  G06N5/027 ,  G06N5/04

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, determining a source platform code for migration from a source platform to a target platform and determining one or more attributes of the source platform code. The method also includes determining, using a machine learning (ML) model, one or more existing templates based on the one or more attributes of the source platform code, and recommending the one or more existing templates for use in generating a template for migration of the source platform code to the target platform. The template for the source platform code is configured to convert the source platform code to a target platform code suitable for the target platform. The one or more existing template can then be used to generate a template for migrating the source platform code to a target platform code suitable for the target platform.

公开(公告)号：US12068071B2

公开(公告)日：2024-08-20

申请号：US18163189

申请日：2023-02-01

Applicant: CVS Pharmacy, Inc.

Inventor： Caroline L. Chen ,  Jared P. Tancrelle

IPC: G16H40/20 ,  G06N5/02 ,  G06Q10/0631 ,  G06Q10/10 ,  G06Q10/1091 ,  G06Q30/018

CPC classification number: G16H40/20 ,  G06N5/027 ,  G06Q10/06312 ,  G06Q10/06316 ,  G06Q10/103 ,  G06Q10/1091 ,  G06Q30/018

Abstract: Example systems and methods provide dynamic generation and display of workstation assignments in a pharmacy information system. A plurality of electronic workstation displays are in network communication with a workstation assignment engine configured to generate workstation assignments for employees assigned to the workstations displays and store a schedule record. Based on various triggers, workstations identified in the workstation assignments display the workstation assignments on a graphical user interface portion of the workstation displays. Dynamically generated changes to the workstation assignments in the schedule record may be generated and displayed in response to real-time change in coverage events.

公开(公告)号：US12001794B2

公开(公告)日：2024-06-04

申请号：US17575951

申请日：2022-01-14

Applicant: International Business Machines Corporation

Inventor： Dinesh Khandelwal ,  G P Shrivatsa Bhargav ,  Saswati Dana ,  Dinesh Garg ,  Pavan Kapanipathi Bangalore ,  Salim Roukos ,  Alexander Gray ,  L. Venkata Subramaniam

IPC: G06F40/279 ,  G06N5/02

CPC classification number: G06F40/279 ,  G06N5/027

Abstract: Methods, systems, and computer program products for zero-shot entity linking based on symbolic information are provided herein. A computer-implemented method includes obtaining a knowledge graph comprising a set of entities and a training dataset comprising text samples for at least a subset of the entities in the knowledge graph; training a machine learning model to map an entity mention substring of a given sample of text to one corresponding entity in the set of entities, wherein the machine learning model is trained using a multi-task machine learning framework using symbolic information extracted from the knowledge graph; and mapping an entity mention substring of a new sample of text to one of the entities in the set using the trained machine learning model.

公开(公告)号：US11983236B2

公开(公告)日：2024-05-14

申请号：US17368555

申请日：2021-07-06

Applicant: Grokit Data, Inc.

Inventor： James A. Harding ,  Anthony J. Paquin ,  Scott Thibault ,  Jason A. Boatman

IPC: G06F11/36 ,  G06F3/0481 ,  G06F9/451 ,  G06F9/48 ,  G06F9/50 ,  G06F9/54 ,  G06F16/80 ,  G06F16/84 ,  G06F16/951 ,  G06F16/955 ,  G06F16/957 ,  G06F16/958 ,  G06F18/214 ,  G06F40/14 ,  G06N5/02 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0631 ,  G06Q10/0633 ,  G06Q10/0637 ,  G06Q10/067 ,  G06Q30/0201 ,  G06Q30/0282 ,  G06Q30/0601 ,  G06Q10/083 ,  G06Q10/0833 ,  G06Q10/10 ,  G06Q30/04

CPC classification number: G06F16/958 ,  G06F3/0481 ,  G06F9/4806 ,  G06F9/4843 ,  G06F9/485 ,  G06F9/5066 ,  G06F9/542 ,  G06F9/547 ,  G06F11/3612 ,  G06F11/3616 ,  G06F16/80 ,  G06F16/84 ,  G06F16/951 ,  G06F16/955 ,  G06F16/9577 ,  G06F16/986 ,  G06F18/214 ,  G06F40/14 ,  G06N5/027 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/06315 ,  G06Q10/0633 ,  G06Q10/06375 ,  G06Q10/067 ,  G06Q30/0201 ,  G06Q30/0282 ,  G06Q30/0641 ,  G06Q10/0833 ,  G06Q10/0838 ,  G06Q10/10 ,  G06Q30/04

Abstract: A computer-implemented method, computer program product and computing system for executing a description model when utilizing a website; detecting a failure associated with the execution of the description model; re-executing the description model one or more times in an attempt to utilize the website; and if a failure is detected one or more times, reporting the failure to a user.