INFORMATION PROCESSOR, INFORMATION PROCESSING METHOD, AND PROGRAM

• Main Authors: SAKO MIHO, TAKADA MASAAKI, YAMADA HISAFUMI
• Format: Patent
• Language: English; Japanese
• Published: 01.03.2024
• Subjects: APPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY; BEER; BIOCHEMISTRY; CHEMISTRY; ENZYMOLOGY; 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; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PHYSICS; SPIRITS; TESTING; VINEGAR; WINE

To estimate information for identifying the presence of contraction of disease at higher accuracy.SOLUTION: An information processor includes a probability estimation part. The probability estimation part estimates probability of contraction of disease showing a probability that a subject is affected with a particular disease on the basis of: a first probability model showing a relation with a first physical quantity associated with a particular disease and a second physical quantity to be measured; a second probability model showing a relation with whether or not the subject is affected with a particular disease and the first physical quantity; prior probability of contraction of disease showing a probability that the subject is affected with a particular disease in the state where information of the first physical quantity or the second physical quantity regarding the subject is not obtained; and the second physical quantity measured for the subject.SELECTED DRAWING: Figure 2 【課題】罹患の有無を識別するための情報を、より高精度に推定する。【解決手段】情報処理装置は、確率推定部を含む。確率推定部は、特定の疾病と関連する第１物理量と、測定する第２物理量と、の関係を示す第１確率モデルと、特定の疾病に罹患しているか否かと第１物理量との関係を示す第２確率モデルと、被検者に関する第１物理量または第２物理量の情報が得られていない状態における被検者が特定の疾病に罹患している確率を表す罹患事前確率と、被検者に対して測定された第２物理量と、に基づいて、被検者が特定の疾病に罹患している確率を表す罹患確率を推定する。【選択図】図２