SG11201807719SA - Use of clinical parameters for the prediction of sirs - Google Patents

Use of clinical parameters for the prediction of sirs

Info

Publication number
SG11201807719SA
SG11201807719SA SG11201807719SA SG11201807719SA SG11201807719SA SG 11201807719S A SG11201807719S A SG 11201807719SA SG 11201807719S A SG11201807719S A SG 11201807719SA SG 11201807719S A SG11201807719S A SG 11201807719SA SG 11201807719S A SG11201807719S A SG 11201807719SA
Authority
SG
Singapore
Prior art keywords
international
street
processing circuitry
publication
values
Prior art date
Application number
SG11201807719SA
Inventor
L S Hong
Gerald Wogan
Luigi Vacca
Bruce Tidor
Original Assignee
Peach Intellihealth Inc
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 Peach Intellihealth Inc filed Critical Peach Intellihealth Inc
Publication of SG11201807719SA publication Critical patent/SG11201807719SA/en

Links

Classifications

    • 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
    • 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
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Electrotherapy Devices (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property 1111111011111111101 IIIIIIIIIIIIIIIIIII1011101111IIIIIIIIIIIIIIIIII101111111011011111111 Organization International Bureau (10) International Publication Number (43) International Publication Date .....0\"\" WO 2017/165693 A4 28 September 2017 (28.09.2017) W I P0 I P C T (51) International Patent Classification: gi; 45 Willard Road, Weston, MA 02493 (US). TIDOR, GO1N 33/53 (2006.01) C12Q 1/68 (2006.01) Bruce; 6 Stevens Road, Lexington, MA 02421 (US). G01N 33/50 (2006.01) GOOF 19/00 (2011.01) (74) Agent: GORDON, Edward A.; McDermott Will & Emery (21) International Application Number: LLP, 500 North Capitol Street, N.W., Washington, D.C. PCT/US2017/023885 20001 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 23 March 2017 (23.03.2017) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, (25) Filing Language: English CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, (26) Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, KP, KR, (30) Priority Data: KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, 62/312,339 23 March 2016 (23.03.2016) US MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, (71) Applicant: PEACH INTELLIHEALTH, INC. [US/US]; PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, 124 W. 60th Street, #49c, New York, NY 10023 (US). SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (72) Inventors: HONG, L.S, Klaudyne; 124 W. 60th Street, #49c, New York, NY 10023 (US). WOGAN, Gerald; 125 (84) Designated States (unless otherwise indicated, for every Claflin Street, Belmont, MA 02478 (US). VACCA, Lui- kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, = (54) Title: USE OF CLINICAL PARAMETERS FOR THE PREDICTION OF SIRS = FIG. 1 ,-- e 102a--, = = 0 --„, a 1 = = = = = 102c-N,„ = = _ = _ Li ica io ii- System 100 Cr) 01 (57) : A system for disease prediction includes processing circuitry configured to receive a dataset including data of a patient l() population, the data including for each of a plurality of patients of the patient population, values for a plurality of features, and a diagnosis value indicating whether a disease has been diagnosed. The processing circuitry is configured to, based on correlations between the 1-1 ---- values, select from the dataset a plurality of subsets of the features, and, for each of at least one of the subsets, execute a machine learning IN process with the respective subset and the diagnosis values as input parameters, the execution generating a respective prediction model. © The processing circuitry is configured to output the respective prediction model. ei O [Continued on next page] WO 2017/165693 A4 MIDEDIMOMOIDEIROIDEMOMMEMEMINHIMEHMIE UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Published: — with international search report (Art. 21(3)) — with amended claims (Art. 19(1)) Date of publication of the amended claims: 14 December 2017 (14.12.2017)
SG11201807719SA 2016-03-23 2017-03-23 Use of clinical parameters for the prediction of sirs SG11201807719SA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662312339P 2016-03-23 2016-03-23
PCT/US2017/023885 WO2017165693A1 (en) 2016-03-23 2017-03-23 Use of clinical parameters for the prediction of sirs

Publications (1)

Publication Number Publication Date
SG11201807719SA true SG11201807719SA (en) 2018-10-30

Family

ID=59900920

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201807719SA SG11201807719SA (en) 2016-03-23 2017-03-23 Use of clinical parameters for the prediction of sirs

Country Status (5)

Country Link
US (1) US20230187067A1 (en)
EP (1) EP3433614A4 (en)
JP (1) JP2019511057A (en)
SG (1) SG11201807719SA (en)
WO (1) WO2017165693A1 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11504071B2 (en) * 2018-04-10 2022-11-22 Hill-Rom Services, Inc. Patient risk assessment based on data from multiple sources in a healthcare facility
WO2019244646A1 (en) * 2018-06-18 2019-12-26 日本電気株式会社 Disease risk prediction device, disease risk prediction method, and disease risk prediction program
CN109192319A (en) * 2018-07-11 2019-01-11 辽宁石油化工大学 A kind of description method for the viral transmission process considering dynamic network structure
WO2020037244A1 (en) * 2018-08-17 2020-02-20 Henry M. Jackson Foundation For The Advancement Of Military Medicine Use of machine learning models for prediction of clinical outcomes
US20220292876A1 (en) * 2019-08-21 2022-09-15 The Regents Of The University Of California Systems and methods for machine learning-based identification of sepsis
US11796465B2 (en) 2020-02-06 2023-10-24 Samsung Electronics Co., Ltd. Method and system for predicting blood compound concentration of a target
TWI751683B (en) * 2020-09-07 2022-01-01 奇美醫療財團法人奇美醫院 Pathological condition prediction system for elderly flu patients, a program product thereof, and a method for establishing and using the same
DE102022114248A1 (en) 2022-06-07 2023-12-07 TCC GmbH Method and prediction system for determining the probability of sepsis occurring in a patient

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6190872B1 (en) * 1994-05-06 2001-02-20 Gus J. Slotman Method for identifying and monitoring patients at risk for systemic inflammatory conditions and apparatus for use in this method
GB0426982D0 (en) * 2004-12-09 2005-01-12 Secr Defence Early detection of sepsis
AU2006236588A1 (en) * 2005-04-15 2006-10-26 Becton, Dickinson And Company Diagnosis of sepsis
KR101281298B1 (en) * 2005-09-28 2013-07-08 백톤 디킨슨 앤드 컴퍼니 Detection of lysophosphatidylcholine for prognosis or diagnosis of a systemic inflammatory condition
DE102005050933A1 (en) * 2005-10-21 2007-04-26 Justus-Liebig-Universität Giessen Invention relating to expression profiles for the prediction of septic states
WO2007140625A1 (en) * 2006-06-09 2007-12-13 The University Of British Columbia Interferon gamma polymorphisms as indicators of subject outcome in critically ill subjects
WO2009075796A1 (en) * 2007-12-05 2009-06-18 Massachusetts Institute Of Technology System and method for predicting septic shock
MX337333B (en) * 2008-03-26 2016-02-26 Theranos Inc Methods and systems for assessing clinical outcomes.
US8669113B2 (en) * 2008-04-03 2014-03-11 Becton, Dickinson And Company Advanced detection of sepsis
EP2284540A1 (en) * 2009-07-31 2011-02-16 BIOCRATES Life Sciences AG Method of diagnosing organ failure
WO2014117165A1 (en) * 2013-01-28 2014-07-31 Vanderbilt University Method for differentiating sepsis and systemic inflammatory response syndrome (sirs)
WO2014205139A1 (en) * 2013-06-20 2014-12-24 University Of Virginia Patent Foundation Multidimensional time series entrainment system, method and computer readable medium
CA2930925A1 (en) * 2014-02-06 2015-08-13 Immunexpress Pty Ltd Biomarker signature method, and apparatus and kits therefor
GB201402293D0 (en) * 2014-02-11 2014-03-26 Secr Defence Biomarker signatures for the prediction of onset of sepsis
US20150269355A1 (en) * 2014-03-19 2015-09-24 Peach Intellihealth, Inc. Managing allocation of health-related expertise and resources
US20160364536A1 (en) * 2015-06-15 2016-12-15 Dascena Diagnostic support systems using machine learning techniques
US20160364545A1 (en) * 2015-06-15 2016-12-15 Dascena Expansion And Contraction Around Physiological Time-Series Trajectory For Current And Future Patient Condition Determination

Also Published As

Publication number Publication date
WO2017165693A1 (en) 2017-09-28
US20230187067A1 (en) 2023-06-15
EP3433614A4 (en) 2019-12-11
EP3433614A1 (en) 2019-01-30
JP2019511057A (en) 2019-04-18
WO2017165693A4 (en) 2017-12-14

Similar Documents

Publication Publication Date Title
SG11201807719SA (en) Use of clinical parameters for the prediction of sirs
SG11201908288XA (en) Configurable annotations for privacy-sensitive user content
SG11201809294RA (en) Systems and methods for sensor data analysis through machine learning
SG11201805906WA (en) Diagnostic and prognostic methods for cardiovascular diseases and events
SG11201901210UA (en) Ferroelectric memory cells
SG11201408002TA (en) Multi-parameter diabetes risk evaluations
SG11201907162TA (en) Methods for cell-type specific profiling to identify drug targets
SG11201407417VA (en) Encoding and reconstruction of residual data based on support information
SG11201811065SA (en) Memory cell imprint avoidance
SG11201900269XA (en) Channel sensing for independent links
SG11201805520UA (en) User interface
SG11201811405QA (en) Improved differentiation method
SG11201809344QA (en) Process for synthesizing 2-hydroxy-6-((2-(1-isopropyl-1h-pyrazol-5-yl)-pyridin-3-yl)methoxy)benzaldehyde
SG11201901168UA (en) Apparatuses and methods including ferroelectric memory and for operating ferroelectric memory
SG11201408385TA (en) Methods of detecting diseases or conditions
SG11201810611YA (en) Coumarin compounds and their uses as fluorescent labels
SG11201900772YA (en) Gene editing of car-t cells for the treatment of t cell malignancies with chimeric antigen receptors
SG11201408383SA (en) Methods of detecting diseases or conditions using circulating diseased cells
SG11201807307VA (en) System and method for aerial system discrimination and action
SG11202000311WA (en) Systems and methods for automated decentralized multilateral transaction processing
SG11201900192VA (en) Assembly line with integrated electronic visual inspection
SG11201903139SA (en) Methods for expression profile classification
SG11201811550XA (en) Demand prediction for time-expiring inventory
SG11201808762XA (en) Diagnostic methods for patient specific therapeutic decision making in cancer care
SG11201901228QA (en) Chromatography method for quantifying a non-ionic surfactant in a composition comprising the non-ionic surfactant and a polypeptide