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1. (WO2019045637) A PREDICTIVE ANALYTICS SOLUTION FOR PERSONALIZED CLINICAL DECISION SUPPORT
Latest bibliographic data on file with the International Bureau    Submit observation

Pub. No.: WO/2019/045637 International Application No.: PCT/SG2017/050422
Publication Date: 07.03.2019 International Filing Date: 28.08.2017
IPC:
G06Q 50/22 (2012.01) ,G06F 19/00 (2011.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
Q
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50
Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
10
Services
22
Health care, e.g. hospitals; Social work
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
Applicants:
AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH [SG/SG]; 1 Fusionopolis Way, #20-10 Connexis North Tower, Singapore 138632, SG
Inventors:
KRISHNASWAMY, Pavitra; SG
SRINATH, Sridharan; SG
RAMASAMY, Savitha; SG
Agent:
VIERING, JENTSCHURA & PARTNER LLP; P.O. Box 1088, Rochor Post Office, Rochor Road, Singapore 911833, SG
Priority Data:
Title (EN) A PREDICTIVE ANALYTICS SOLUTION FOR PERSONALIZED CLINICAL DECISION SUPPORT
(FR) SOLUTION ANALYTIQUE PRÉDICTIVE POUR L'AIDE À LA DÉCISION CLINIQUE PERSONNALISÉE
Abstract:
(EN) A predictive analytics solution that leverages multimodal patient datasets (e.g., physiological, administrative and medical records data) for personalized clinical decision-support is provided. An intelligent clinical decision support tool is developed to facilitate and improve treatment decisions and patient care management. The clinical decision support tool employs machine learning algorithms to learn from multimodal patient data, and formulates a predictive model that maps the patient data to outcomes of interest. The tool has the ability to learn from every new patient just like a clinician accumulates knowledge from clinical experiences. The predictive model developed is integrated with multivariate optimization and clustering techniques to derive optimal treatment decisions that may facilitate improved patient care. Importantly, the optimization technique incorporates relevant constraints so that the optimal decisions are (a) personalized for a given patient, and (b) actionable in the clinical setting.
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)