SG11201701963UA - Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data - Google Patents

Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data

Info

Publication number
SG11201701963UA
SG11201701963UA SG11201701963UA SG11201701963UA SG11201701963UA SG 11201701963U A SG11201701963U A SG 11201701963UA SG 11201701963U A SG11201701963U A SG 11201701963UA SG 11201701963U A SG11201701963U A SG 11201701963UA SG 11201701963U A SG11201701963U A SG 11201701963UA
Authority
SG
Singapore
Prior art keywords
treatment
patient data
causal relationship
network models
relationship network
Prior art date
Application number
SG11201701963UA
Inventor
Niven Rajin Narain
Viatcheslav R Akmaev
Vijetha Vemulapalli
Original Assignee
Berg Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority to US201462049148P priority Critical
Application filed by Berg Llc filed Critical Berg Llc
Priority to PCT/US2015/049552 priority patent/WO2016040725A1/en
Publication of SG11201701963UA publication Critical patent/SG11201701963UA/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
SG11201701963UA 2014-09-11 2015-09-11 Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data SG11201701963UA (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US201462049148P true 2014-09-11 2014-09-11
PCT/US2015/049552 WO2016040725A1 (en) 2014-09-11 2015-09-11 Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data

Publications (1)

Publication Number Publication Date
SG11201701963UA true SG11201701963UA (en) 2017-04-27

Family

ID=55459589

Family Applications (2)

Application Number Title Priority Date Filing Date
SG10201902151UA SG10201902151UA (en) 2014-09-11 2015-09-11 Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data
SG11201701963UA SG11201701963UA (en) 2014-09-11 2015-09-11 Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data

Family Applications Before (1)

Application Number Title Priority Date Filing Date
SG10201902151UA SG10201902151UA (en) 2014-09-11 2015-09-11 Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data

Country Status (12)

Country Link
US (2) US10482385B2 (en)
EP (1) EP3191975A4 (en)
JP (1) JP2017537365A (en)
KR (1) KR20170058391A (en)
CN (1) CN107111603A (en)
AU (2) AU2015314956A1 (en)
CA (1) CA2960837A1 (en)
HK (1) HK1243509A1 (en)
IL (1) IL250966D0 (en)
SG (2) SG10201902151UA (en)
WO (1) WO2016040725A1 (en)
ZA (1) ZA201701611B (en)

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US10839024B2 (en) * 2016-06-20 2020-11-17 Tibco Software Inc. Detecting important variables and their interactions in big data
US20180211012A1 (en) * 2017-01-25 2018-07-26 Ucb Biopharma Sprl Method and system for predicting optimal epilepsy treatment regimes
KR101830314B1 (en) 2017-07-26 2018-02-20 재단법인 구미전자정보기술원 A method of providing information for the diagnosis of pancreatic cancer using bayesian network based on artificial intelligence, computer program, and computer-readable recording media using the same
US10699450B2 (en) 2017-09-28 2020-06-30 International Business Machines Corporation Interactive tool for causal graph construction
CN110322019A (en) * 2018-03-29 2019-10-11 日本电气株式会社 For handling the method, system and storage medium of data set
WO2020097122A1 (en) * 2018-11-05 2020-05-14 Children's Hospital Medical Center Computation model of learning networks
WO2020154573A1 (en) 2019-01-25 2020-07-30 Children's Hospital Medical Center Bayesian causal inference models for healthcare treatment using real world patient data
KR102238762B1 (en) 2019-01-31 2021-04-16 주식회사 이노제닉스 Image recognition system for diagnosis sepsis by reading the result of reverse blot hybridization assay and image recognition method using the same
WO2020243965A1 (en) * 2019-06-06 2020-12-10 Nec Corporation Causal analysis
WO2021022365A1 (en) * 2019-08-02 2021-02-11 Intellijoint Surgical Inc. Systems and methods to collaborate, to train an expert system and to provide an expert system

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US7415359B2 (en) 2001-11-02 2008-08-19 Gene Network Sciences, Inc. Methods and systems for the identification of components of mammalian biochemical networks as targets for therapeutic agents
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WO2004027706A1 (en) * 2002-09-20 2004-04-01 Board Of Regents, University Of Texas System Computer program products, systems and methods for information discovery and relational analyses
JP2008528975A (en) 2005-01-24 2008-07-31 ザ・ボード・オブ・トラスティーズ・オブ・ザ・レランド・スタンフォード・ジュニア・ユニバーシティThe Board Of Trustees Of The Leland Stanford Junior University Use of Bayesian networks for modeling cell signaling systems
RU2428104C2 (en) * 2005-11-08 2011-09-10 Конинклейке Филипс Электроникс Н.В. Method of detecting critical trends in multi-parameter control of patient and clinical data with applicxation of clasterisation
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WO2008060620A2 (en) 2006-11-15 2008-05-22 Gene Network Sciences, Inc. Systems and methods for modeling and analyzing networks
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DE102007044380A1 (en) * 2007-09-17 2009-03-19 Siemens Ag Computer-aided studying of probabilistic network from data record of measured, experimentally determined and/or empirical values, comprises studying structure of non-directed graphs having nodes and non-directed edges from the data record
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US20130275153A1 (en) * 2010-09-01 2013-10-17 Shahram Shawn DASTMALCHI Method of optimizing patient-related outcomes
JP6105491B2 (en) * 2011-03-02 2017-03-29 バーグ エルエルシー Collating cell-based assays and uses thereof
SG11201406201YA (en) 2012-04-02 2014-10-30 Berg Llc Interrogatory cell-based assays and uses thereof
SG10201609654PA (en) 2012-05-22 2017-01-27 Berg Llc Interrogatory cell-based assays for identifying drug-induced toxicity markers

Also Published As

Publication number Publication date
HK1243509A1 (en) 2018-07-13
AU2020244596A1 (en) 2020-11-05
WO2016040725A1 (en) 2016-03-17
EP3191975A4 (en) 2018-04-18
EP3191975A1 (en) 2017-07-19
IL250966D0 (en) 2017-04-30
US20200143278A1 (en) 2020-05-07
CN107111603A (en) 2017-08-29
JP2017537365A (en) 2017-12-14
US20160171383A1 (en) 2016-06-16
US10482385B2 (en) 2019-11-19
AU2015314956A1 (en) 2017-04-06
CA2960837A1 (en) 2016-03-17
SG10201902151UA (en) 2019-04-29
ZA201701611B (en) 2019-09-25
KR20170058391A (en) 2017-05-26

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