Title:
患者データに基づく健康診断および治療のためのベイジアン因果関係ネットワークモデル
Document Type and Number:
Japanese Patent JP6916107
Kind Code:
B2
Abstract:
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.
Inventors:
Narain, Niven, Rajin
Akuma Eve, Beatches Love, Earl.
Vemura Paris, Vygeta
Akuma Eve, Beatches Love, Earl.
Vemura Paris, Vygeta
Application Number:
JP2017513538A
Publication Date:
August 11, 2021
Filing Date:
September 11, 2015
Export Citation:
Assignee:
Berg LLC
International Classes:
G16H50/50; A61B5/00; G06N7/00; G16H10/60
Domestic Patent References:
| JP2013537326A | ||||
| JP2010511404A | ||||
| JP2008065836A | ||||
| JP2014512520A | ||||
| JP2012500036A |
Foreign References:
| US20080046290 |
Other References:
廣瀬 昶,子牛の病気診断へのニューラルネットワークの適用,FUJITSU,日本,富士通株式会社,1993年11月10日,VOL.44 NO.6,p.566-571
Attorney, Agent or Firm:
Yusuke Hiraki
Toshiaki Watanabe
Hidekazu Matsumaru
Akira Yoshikawa
Toshiaki Watanabe
Hidekazu Matsumaru
Akira Yoshikawa