RISK RESPONSE ANALYSIS SYSTEM, RISK RESPONSE ANALYSIS METHOD AND RISK RESPONSE ANALYSIS PROGRAM

• Main Authors: TOYOSHIBA HIROYOSHI, NISHIKAWA KUNIKO, UCHIYAMA HIDEFUMI
• Format: Patent
• Language: English; Japanese
• Published: 22.10.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

To make it possible to predict a response that may actually be effective against a risk that is predicted to occur in relation to a particular target object.SOLUTION: A risk response analysis system includes: a risk reduction vector identification unit 13 which carries out a prescribed computation using a search vector and a feature vector calculated when predicting a risk level by a risk prediction unit 12, searches for a search vector with which the risk level calculated based on the computed vector is reduced, and identifies a vector which is computed on the basis of the found search vector and the feature vector as a risk reduction vector; and a response information generation unit 14 which identifies a feature vector that is either identical or approximate to the risk reduction vector and generates information relating to a risk response using analysis target data corresponding to the identified feature vector. Not only a risk level for a prediction target object, but also a response which may be applied to the risk can be predicted.SELECTED DRAWING: Figure 1 【課題】特定の対象物に関して発生の可能性があると予測されたリスクについて、実際に有効である可能性のある対策を予測できるようにする。【解決手段】リスク予測部１２によりリスクレベルを予測する際に算出された特徴ベクトルと探索用ベクトルとを用いて所定の演算を行い、演算後ベクトルから算出されるリスクレベルが低減するような探索用ベクトルを探索し、当該探索した探索用ベクトルと特徴ベクトルとに基づいて演算されるベクトルをリスク低減ベクトルとして特定するリスク低減ベクトル特定部１３と、リスク低減ベクトルと同一または近似する特徴ベクトルを特定し、特定した特徴ベクトルに対応する解析対象データを用いて、リスク対策に関する情報を生成する対策情報生成部１４とを備え、予測対象物についてリスクレベルを予測するだけでなく、リスクに対して適用し得る対策まで予測することができるようにする。【選択図】図１