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1. (WO2019067253) PATIENT DATA MANAGEMENT SYSTEM
국제사무국에 기록된 최신 서지정보정보 제출

공개번호: WO/2019/067253 국제출원번호: PCT/US2018/051366
공개일: 04.04.2019 국제출원일: 17.09.2018
IPC:
G06F 17/00 (2006.01) ,G06F 17/15 (2006.01) ,G16H 10/60 (2018.01)
G SECTION G — 물리학
06
산술논리연산; 계산; 계수
F
전기에 의한 디지털 데이터처리
17
디지털 컴퓨팅 또는 데이터 프로세싱 장비, 방법으로서 특정 기능을 위해 특히 적합한 형태의 것
G SECTION G — 물리학
06
산술논리연산; 계산; 계수
F
전기에 의한 디지털 데이터처리
17
디지털 컴퓨팅 또는 데이터 프로세싱 장비, 방법으로서 특정 기능을 위해 특히 적합한 형태의 것
10
복잡한 수학적 연산
15
상관함수의 연산
[IPC code unknown for G16H 10/60]
출원인:
OWNED OUTCOMES INC. [US/US]; 6085 W Twain, Suite 101 Las Vegas, Nevada 89103, US
발명자:
FERENC, Mariusz; US
KOZLOWSKI, Wojtek; US
SRINIVAS, Krupa; US
SIAL, Huzaifa; US
PRAMODA, Anita; US
대리인:
FULLER, Michael L.; US
우선권 정보:
15/988,78524.05.2018US
62/563,56926.09.2017US
발명의 명칭: (EN) PATIENT DATA MANAGEMENT SYSTEM
(FR) SYSTÈME DE GESTION DE DONNÉES DE PATIENT
요약서:
(EN) A patient data management ("PDM") system is disclosed. The PDM can provide doctors with an efficient and accurate means to extract medical diagnostic and treatment information from multi-perspective time-based medical data. Further, the PDM may reduce computer processing time when training a neural network using medical data. In one aspect, a PDM system includes a preprocessor that receives patient data from a computer interface. The preprocessor may use machine learning to extract patterns ("features") from the data. The preprocessor formats the extracted features into a multidimensional tensor. In one non-limiting example, the PDM system includes a convolutional neural network ("CNN"). The preprocessor provides the tensor to the CNN. The CNN processes the tensor and extracts diagnostic and treatment information.
(FR) L'invention concerne un système de gestion de données de patient (« PDM »). Le PDM peut fournir aux médecins un moyen efficace et précis d'extraire des informations médicales de diagnostic et de traitement à partir de données médicales temporelles à multiples perspectives. En outre, le PDM peut réduire le temps de traitement informatique lors de l'entraînement d'un réseau neuronal en utilisant des données médicales. Selon un aspect, un système de PDM contient un préprocesseur qui reçoit des données de patient provenant d'une interface informatique. Le préprocesseur peut utiliser un apprentissage automatique pour extraire des motifs (« caractéristiques ») à partir des données. Le préprocesseur formate les caractéristiques extraites en un tenseur multidimensionnel. Dans un exemple non limitatif, le système de PDM contient un réseau neuronal convolutif (« CNN »). Le préprocesseur fournit le tenseur au CNN. Le CNN traite le tenseur et extrait des informations de diagnostic et de traitement.
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지정국: 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
아프리카지역 지식재산권기구(ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
유라시아 특허청(EAPO) (AM, AZ, BY, KG, KZ, RU, TJ, TM)
유럽 특허청(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)
아프리카 지식재산권기구(OAPI) (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
공개언어: 영어 (EN)
출원언어: 영어 (EN)