公开(公告)号：US08744870B2

公开(公告)日：2014-06-03

申请号：US13069623

申请日：2011-03-23

Applicant: Lokendra Shastri ,  Gopichand Agnihotram ,  Balasubramanian Kanagasabapathi ,  Antony Arokia Durai Raj Kolandaiswamy

Inventor： Lokendra Shastri ,  Gopichand Agnihotram ,  Balasubramanian Kanagasabapathi ,  Antony Arokia Durai Raj Kolandaiswamy

IPC: G06Q10/00 ,  G06Q50/00 ,  G06Q50/22 ,  G06Q50/24 ,  G06F19/00

CPC classification number: G06Q50/22 ,  G06F19/00 ,  G06Q50/24 ,  G16H10/60 ,  G16H50/50

Abstract: A system, method and computer program product for forecasting one or more clinical pathways and resource requirements of at least one patient are provided. The system comprises an input module for receiving inputs pertaining to patient diagnostic data, the patient diagnostic data comprising information identified during diagnosis of the patient. The system also comprises a repository for storing data comprising at least one of patient data and pre-existing clinical pathways. The patient data comprises at least one of the patient diagnostic data received from the input module; patient historical data comprising historical treatment data of the patient and patient demographic data comprising demographic details of the patient. The system also comprises a clinical pathway forecasting module for forecasting clinical pathways by application of predetermined analytical models on the patient data and pre-existing clinical pathways. The system further comprises a resource requirement forecasting module for forecasting resource requirements of the patient.

Abstract translation: 提供了用于预测至少一名患者的一种或多种临床途径和资源需求的系统，方法和计算机程序产品。 该系统包括用于接收与患者诊断数据相关的输入的输入模块，患者诊断数据包括在诊断患者期间识别的信息。 该系统还包括用于存储包括患者数据和预先存在的临床路径中的至少一个的数据的储存库。 患者数据包括从输入模块接收的患者诊断数据中的至少一个; 患者历史数据包括患者的历史治疗数据和患者人口统计数据，其包括患者的人口统计学细节。 该系统还包括临床途径预测模块，用于通过对患者数据和预先存在的临床路径应用预定的分析模型来预测临床路径。 该系统还包括用于预测患者资源需求的资源需求预测模块。

公开(公告)号：US08924401B2

公开(公告)日：2014-12-30

申请号：US12814573

申请日：2010-06-14

Applicant: Kolandaiswamy Antony Arokia Durai Raj ,  Balasubramanian Kanagasabapathi

Inventor： Kolandaiswamy Antony Arokia Durai Raj ,  Balasubramanian Kanagasabapathi

IPC: G06F17/30 ,  H04L9/08 ,  G06F21/62 ,  G06F7/76

CPC classification number: G06F21/6227 ,  G06F7/764 ,  G06F7/768 ,  G06F21/6245 ,  G06F21/6254 ,  H04L9/0894

Abstract: A system and method for logically masking data by implementing masking algorithms is provided. The method includes receiving one or more inputs from user regarding type of data masking to be implemented depending on type of data entry. Data entries include alphabetical data, data comprising unique codes, data comprising dates and numerical data. Based on inputs received, the data entries are classified and appropriate masking algorithms are executed. For masking numerical data entries, the data entries are first grouped using clustering algorithms and are then shuffled using shuffling algorithms. For low level of data masking selected by a user, numerical data entries are shuffled within groups and for high level of data masking selected by a user, numerical data entries are shuffled across groups.

Abstract translation: 提供了一种通过实现屏蔽算法逻辑地屏蔽数据的系统和方法。 该方法包括根据数据输入的类型从用户接收关于要实现的数据掩蔽类型的一个或多个输入。 数据条目包括字母数据，包括唯一代码的数据，包括日期和数字数据的数据。 根据接收到的输入，对数据条目进行分类，并执行适当的屏蔽算法。 为了掩蔽数字数据条目，首先使用聚类算法分组数据条目，然后使用洗牌算法进行混洗。 对于用户选择的低级别的数据屏蔽，数字数据条目在组内进行混洗，并且对于用户选择的高级数据屏蔽，数字数据条目将在组间进行混洗。

公开(公告)号：US20120254242A1

公开(公告)日：2012-10-04

申请号：US13111178

申请日：2011-05-19

Applicant: Balasubramanian Kanagasabapathi ,  K. Antony Arokia Durai Raj

Inventor： Balasubramanian Kanagasabapathi ,  K. Antony Arokia Durai Raj

IPC: G06F17/30

CPC classification number: G06Q30/0201 ,  G06N5/025

Abstract: Systems, methods, and computer-readable code stored on a non-transitory media for mining association rules include determining a minimum support threshold and a minimum confidence threshold for association rule mining; determining a sampling model; sampling transactions from a transaction dataset; mining association rules from the sampled transactions; and transmitting mined association rules.

Abstract translation: 存储在用于挖掘关联规则的非暂时介质上的系统，方法和计算机可读代码包括确定关联规则挖掘的最小支持阈值和最小置信阈值; 确定抽样模型; 从交易数据集中抽样交易; 采样交易的采矿关联规则; 并发送开采的关联规则。

公开(公告)号：US08812543B2

公开(公告)日：2014-08-19

申请号：US13111178

申请日：2011-05-19

Applicant: Balasubramanian Kanagasabapathi ,  K Antony Arokia Durai Raj

Inventor： Balasubramanian Kanagasabapathi ,  K Antony Arokia Durai Raj

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06Q30/0201 ,  G06N5/025

Abstract: Systems, methods, and computer-readable code stored on a non-transitory media for mining association rules include determining a minimum support threshold and a minimum confidence threshold for association rule mining; determining a sampling model; sampling transactions from a transaction dataset; mining association rules from the sampled transactions; and transmitting mined association rules.

Abstract translation: 存储在用于挖掘关联规则的非暂时介质上的系统，方法和计算机可读代码包括确定关联规则挖掘的最小支持阈值和最小置信阈值; 确定抽样模型; 从交易数据集中抽样交易; 采样交易的采矿关联规则; 并发送开采的关联规则。

公开(公告)号：US20120150498A1

公开(公告)日：2012-06-14

申请号：US13069623

申请日：2011-03-23

Applicant: Lokendra Shastri ,  Gopichand Agnihotram ,  Balasubramanian Kanagasabapathi ,  Antony Arokia Durai Raj Kolandaiswamy

Inventor： Lokendra Shastri ,  Gopichand Agnihotram ,  Balasubramanian Kanagasabapathi ,  Antony Arokia Durai Raj Kolandaiswamy

IPC: G06F17/10

CPC classification number: G06Q50/22 ,  G06F19/00 ,  G06Q50/24 ,  G16H10/60 ,  G16H50/50

Abstract: A system, method and computer program product for forecasting one or more clinical pathways and resource requirements of at least one patient are provided. The system comprises an input module for receiving inputs pertaining to patient diagnostic data, the patient diagnostic data comprising information identified during diagnosis of the patient. The system also comprises a repository for storing data comprising at least one of patient data and pre-existing clinical pathways. The patient data comprises at least one of the patient diagnostic data received from the input module; patient historical data comprising historical treatment data of the patient and patient demographic data comprising demographic details of the patient. The system also comprises a clinical pathway forecasting module for forecasting clinical pathways by application of predetermined analytical models on the patient data and pre-existing clinical pathways. The system further comprises a resource requirement forecasting module for forecasting resource requirements of the patient.

Abstract translation: 提供了用于预测至少一名患者的一种或多种临床途径和资源需求的系统，方法和计算机程序产品。 该系统包括用于接收与患者诊断数据相关的输入的输入模块，患者诊断数据包括在诊断患者期间识别的信息。 该系统还包括用于存储包括患者数据和预先存在的临床路径中的至少一个的数据的储存库。 患者数据包括从输入模块接收的患者诊断数据中的至少一个; 患者历史数据包括患者的历史治疗数据和患者人口统计数据，其包括患者的人口统计学细节。 该系统还包括临床途径预测模块，用于通过对患者数据和预先存在的临床路径应用预定的分析模型来预测临床路径。 该系统还包括用于预测患者资源需求的资源需求预测模块。