SG10201902151UA - Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data - Google Patents
Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient dataInfo
- Publication number
- SG10201902151UA SG10201902151UA SG10201902151UA SG10201902151UA SG10201902151UA SG 10201902151U A SG10201902151U A SG 10201902151UA SG 10201902151U A SG10201902151U A SG 10201902151UA SG 10201902151U A SG10201902151U A SG 10201902151UA SG 10201902151U A SG10201902151U A SG 10201902151UA
- Authority
- SG
- Singapore
- Prior art keywords
- causal relationship
- relationship network
- data
- variables
- drug
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT 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
Abstract
BAYESIAN CAUSAL RELATIONSHIP NETWORK MODELS FOR HEALTHCARE DIAGNOSIS AND TREATMENT BASED ON PATIENT DATA Systems, methods, and computer-readable medium are provided for healthcare analysis. Data corresponding to a plurality of patients is received. The data is parsed to generate normalized data for a plurality of variables, with normalized data generated for more than one variable for each patient. A causal relationship network model is generated relating the plurality of variables based on the generated normalized data using a Bayesian network algorithm. The causal relationship network model includes variables related to a plurality of medical conditions or medical drugs. In another aspect, a selection of a medical condition or drug is received. A sub- network is determined from a causal relationship network model. The sub-network includes one or more variables associated with the selected medical condition or drug. One or more predictors for the selected medical condition or drug are identified. [Figure 2]
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201462049148P | 2014-09-11 | 2014-09-11 |
Publications (1)
Publication Number | Publication Date |
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SG10201902151UA true SG10201902151UA (en) | 2019-04-29 |
Family
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Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG10201902151UA SG10201902151UA (en) | 2014-09-11 | 2015-09-11 | Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data |
SG11201701963UA SG11201701963UA (en) | 2014-09-11 | 2015-09-11 | Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201701963UA SG11201701963UA (en) | 2014-09-11 | 2015-09-11 | Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data |
Country Status (12)
Country | Link |
---|---|
US (2) | US10482385B2 (en) |
EP (1) | EP3191975A4 (en) |
JP (1) | JP6916107B2 (en) |
CN (2) | CN114203296A (en) |
AU (2) | AU2015314956A1 (en) |
CA (1) | CA2960837A1 (en) |
HK (1) | HK1243509A1 (en) |
IL (1) | IL250966B (en) |
NZ (1) | NZ730197A (en) |
SG (2) | SG10201902151UA (en) |
WO (1) | WO2016040725A1 (en) |
ZA (1) | ZA201701611B (en) |
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2015
- 2015-09-11 JP JP2017513538A patent/JP6916107B2/en active Active
- 2015-09-11 AU AU2015314956A patent/AU2015314956A1/en not_active Abandoned
- 2015-09-11 CN CN202111477970.7A patent/CN114203296A/en active Pending
- 2015-09-11 EP EP15839682.0A patent/EP3191975A4/en active Pending
- 2015-09-11 NZ NZ730197A patent/NZ730197A/en unknown
- 2015-09-11 CA CA2960837A patent/CA2960837A1/en active Pending
- 2015-09-11 US US14/851,846 patent/US10482385B2/en active Active
- 2015-09-11 SG SG10201902151UA patent/SG10201902151UA/en unknown
- 2015-09-11 SG SG11201701963UA patent/SG11201701963UA/en unknown
- 2015-09-11 WO PCT/US2015/049552 patent/WO2016040725A1/en active Application Filing
- 2015-09-11 CN CN201580058049.5A patent/CN107111603A/en active Pending
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2017
- 2017-03-06 IL IL250966A patent/IL250966B/en unknown
- 2017-03-06 ZA ZA2017/01611A patent/ZA201701611B/en unknown
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2018
- 2018-02-27 HK HK18102759.7A patent/HK1243509A1/en unknown
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2019
- 2019-10-03 US US16/592,069 patent/US11734593B2/en active Active
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2020
- 2020-10-02 AU AU2020244596A patent/AU2020244596B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US10482385B2 (en) | 2019-11-19 |
ZA201701611B (en) | 2019-09-25 |
AU2020244596A1 (en) | 2020-11-05 |
US20160171383A1 (en) | 2016-06-16 |
AU2015314956A1 (en) | 2017-04-06 |
HK1243509A1 (en) | 2018-07-13 |
IL250966B (en) | 2021-07-29 |
CN114203296A (en) | 2022-03-18 |
CA2960837A1 (en) | 2016-03-17 |
EP3191975A1 (en) | 2017-07-19 |
JP2017537365A (en) | 2017-12-14 |
NZ730197A (en) | 2022-07-01 |
KR20170058391A (en) | 2017-05-26 |
CN107111603A (en) | 2017-08-29 |
US11734593B2 (en) | 2023-08-22 |
EP3191975A4 (en) | 2018-04-18 |
IL250966A0 (en) | 2017-04-30 |
SG11201701963UA (en) | 2017-04-27 |
WO2016040725A1 (en) | 2016-03-17 |
US20200143278A1 (en) | 2020-05-07 |
JP6916107B2 (en) | 2021-08-11 |
AU2020244596B2 (en) | 2023-02-23 |
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