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1. (WO2019025901) SYSTEMS AND METHODS OF PREDICTING ONSET OF SEPSIS
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Pub. No.: WO/2019/025901 International Application No.: PCT/IB2018/055498
Publication Date: 07.02.2019 International Filing Date: 24.07.2018
IPC:
A61B 5/00 (2006.01) ,A61B 5/01 (2006.01) ,A61B 5/02 (2006.01) ,G06F 17/10 (2006.01) ,G06F 19/00 (2018.01) ,G06F 19/24 (2011.01)
A HUMAN NECESSITIES
61
MEDICAL OR VETERINARY SCIENCE; HYGIENE
B
DIAGNOSIS; SURGERY; IDENTIFICATION
5
Measuring for diagnostic purposes; Identification of persons
A HUMAN NECESSITIES
61
MEDICAL OR VETERINARY SCIENCE; HYGIENE
B
DIAGNOSIS; SURGERY; IDENTIFICATION
5
Measuring for diagnostic purposes; Identification of persons
01
Measuring temperature of body parts
A HUMAN NECESSITIES
61
MEDICAL OR VETERINARY SCIENCE; HYGIENE
B
DIAGNOSIS; SURGERY; IDENTIFICATION
5
Measuring for diagnostic purposes; Identification of persons
02
Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
17
Digital computing or data processing equipment or methods, specially adapted for specific functions
10
Complex mathematical operations
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
19
Digital computing or data processing equipment or methods, specially adapted for specific applications
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
19
Digital computing or data processing equipment or methods, specially adapted for specific applications
10
Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
24
for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
Applicants:
MOR RESEARCH APPLICATIONS LTD. [IL/IL]; 38 Habarzel St. 6971054 Tel Aviv, IL
AFEKA YISSUMIM LTD [IL/IL]; 218 Bnei Ephraim Street 6910717 Tel Aviv, IL
Inventors:
SINGER, Pierre; IL
APERSTEIN, Yehudit; IL
COHEN, Jonathan; IL
BLOCH, Eli; IL
ROTEM, Tammy; IL
Agent:
RICHTER, Allen; IL
Priority Data:
62/540,10102.08.2017US
Title (EN) SYSTEMS AND METHODS OF PREDICTING ONSET OF SEPSIS
(FR) SYSTÈMES ET PROCÉDÉS DE PRÉDICTION DE L'APPARITION D'UNE SEPSIE
Abstract:
(EN) There is provided a method comprising: receiving a set of values for each of different types of vital sign measurements each outputted by a respective vital sign sensor over a recent monitoring time interval, accessing dynamic features, wherein each dynamic feature is a combination of a certain dynamic function and applied on a certain vital sign measurement, each of the dynamic functions is based on local variability of values measured over the recent monitoring time interval, computing extracted dynamic features by applying the certain dynamic function to the respective set of values of the certain vital sign measurement according to the certain dynamic feature, and computing a prediction of a likelihood of impending sepsis onset in a target individual within an upcoming time interval consecutive to the recent monitoring time interval by a classifier classifying the extracted dynamic features.
(FR) L'invention concerne un procédé consistant : à recevoir un ensemble de valeurs pour chaque type de différents types de mesures de signe vital délivrées chacune par un capteur de signe vital respectif sur une période de surveillance récente, à accéder à des caractéristiques dynamiques, chaque caractéristique dynamique étant une combinaison d'une fonction dynamique donnée et étant appliquée sur une mesure de signe vital donnée, chacune des fonctions dynamiques étant fondée sur une variabilité locale des valeurs mesurées sur la période de surveillance récente, à calculer des caractéristiques dynamiques extraites par application de la fonction dynamique donnée à l'ensemble respectif de valeurs de la mesure de signe vital donnée en fonction de la caractéristique dynamique donnée, et à calculer une prédiction de probabilité d'apparition de sepsie imminente chez un individu cible dans une période à venir consécutive à la période de surveillance récente par un classificateur classant les caractéristiques dynamiques extraites.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, 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
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (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)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)