WO2013186634A3 - Predicting acute cardiopulmonary events and survivability of a patient - Google Patents

Predicting acute cardiopulmonary events and survivability of a patient Download PDF

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Publication number
WO2013186634A3
WO2013186634A3 PCT/IB2013/001890 IB2013001890W WO2013186634A3 WO 2013186634 A3 WO2013186634 A3 WO 2013186634A3 IB 2013001890 W IB2013001890 W IB 2013001890W WO 2013186634 A3 WO2013186634 A3 WO 2013186634A3
Authority
WO
WIPO (PCT)
Prior art keywords
patient
survivability
data
neural network
parameter relating
Prior art date
Application number
PCT/IB2013/001890
Other languages
French (fr)
Other versions
WO2013186634A2 (en
Inventor
Marcus Eng Hock Ong
Zhiping Lin
Wee Ser
Guangbin Huang
Original Assignee
Singapore Health Services Pte Ltd.
Nanyang Technological University
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
Application filed by Singapore Health Services Pte Ltd., Nanyang Technological University filed Critical Singapore Health Services Pte Ltd.
Publication of WO2013186634A2 publication Critical patent/WO2013186634A2/en
Publication of WO2013186634A3 publication Critical patent/WO2013186634A3/en
Priority to US14/569,150 priority Critical patent/US9295429B2/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching
    • 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
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method of predicting survivability of a patient. The method includes storing in an electronic database patient health data comprising a plurality of sets of data, each set having a first parameter relating to heart rate variability data including at least one of ST segment elevation and depression, a second parameter relating to vital sign data, and a third parameter relating to patient survivability; providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of neurons, each having at least one input with an associated weight; and training the neural network using the patient health data such that the associated weight of the at least one input of each neuron is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data, such that the neural network is trained to produce a prediction on the survivability of a patient within the next 72 hours.
PCT/IB2013/001890 2010-03-15 2013-06-14 Predicting acute cardiopulmonary events and survivability of a patient WO2013186634A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US14/569,150 US9295429B2 (en) 2010-03-15 2014-12-12 Predicting acute cardiopulmonary events and survivability of a patient

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261659760P 2012-06-14 2012-06-14
US61/659,760 2012-06-14

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US13/047,348 Continuation US20110224565A1 (en) 2010-03-15 2011-03-14 Method of predicting acute cardiopulmonary events and survivability of a patient
US14/569,150 Continuation US9295429B2 (en) 2010-03-15 2014-12-12 Predicting acute cardiopulmonary events and survivability of a patient

Publications (2)

Publication Number Publication Date
WO2013186634A2 WO2013186634A2 (en) 2013-12-19
WO2013186634A3 true WO2013186634A3 (en) 2014-04-17

Family

ID=49758813

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2013/001890 WO2013186634A2 (en) 2010-03-15 2013-06-14 Predicting acute cardiopulmonary events and survivability of a patient

Country Status (1)

Country Link
WO (1) WO2013186634A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109659031B (en) * 2018-11-23 2023-05-09 中国科学院电子学研究所 Lung function index prediction device and determination method
CN110782992B (en) * 2019-10-31 2023-05-30 刘润桑 Rehabilitation effect quantitative evaluation intelligent implementation method and system based on electrocardiosignal
CN112233750B (en) * 2020-10-20 2024-02-02 吾征智能技术(北京)有限公司 Information matching system based on hemoptysis characters and diseases

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070093720A1 (en) * 2002-09-20 2007-04-26 Fischell David R System for detection of different types of cardiac events
US20100057490A1 (en) * 2006-05-30 2010-03-04 The University Of North Carolina At Chapel Hill Methods, systems, and computer program products for evaluating a patient in a pediatric intensive care unit
US20110224565A1 (en) * 2010-03-15 2011-09-15 Singapore Health Services Pte Ltd. Method of predicting acute cardiopulmonary events and survivability of a patient

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070093720A1 (en) * 2002-09-20 2007-04-26 Fischell David R System for detection of different types of cardiac events
US20100057490A1 (en) * 2006-05-30 2010-03-04 The University Of North Carolina At Chapel Hill Methods, systems, and computer program products for evaluating a patient in a pediatric intensive care unit
US20110224565A1 (en) * 2010-03-15 2011-09-15 Singapore Health Services Pte Ltd. Method of predicting acute cardiopulmonary events and survivability of a patient

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ALISTAIR HANN: "Multi-parameter Monitoring for Early Warning of Patient Deterioration", DEPARTMENT OF ENGINEERING SCIENCE, March 2008 (2008-03-01), pages 1 - 190 *
YOUNG-HO LEE ET AL.: "A CAOPI System Based on APACHE II for Predicting the Degree of Severity of Emergency Patients", KOREA SOCIETY OF COMPUTER AND INFORMATION, vol. 16, January 2011 (2011-01-01), pages 176 - 180, Retrieved from the Internet <URL:KoreaSocietyofComputerandInformation> *

Also Published As

Publication number Publication date
WO2013186634A2 (en) 2013-12-19

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