STOMACH CANCER DETERMINATION DEVICE, METHOD FOR MANUFACTURING LEARNED MODEL, LEARNED MODEL, METHOD FOR DETERMINING STOMACH CANCER, PROGRAM, AND RECORDING MEDIUM

• Main Authors: KATO SHINTARO, KANEKO NAOTO
• Format: Patent
• Language: English; Japanese
• Published: 10.10.2024
• Subjects: 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; PHYSICS; TESTING

To provide a stomach cancer determination device which uses a test that can be easily run, a method for manufacturing a learned model of a stomach cancer determination device, and a learned model.SOLUTION: A stomach cancer determination device 10 includes: an information acquisition unit 11; a stomach cancer determination unit 12, and an information output unit 13. The information acquisition unit 11 acquires biological information of a subject. The biological information includes a numerical value based on an estimated glomerular filtration rate (eGFR), a body mass index (BMI), and at least one of pepsinogen 1 (PG1) and pepsinogen 2 (PG2). The stomach cancer determination unit 12 determines whether the subject is having stomach cancer on the basis of the biological information and generates stomach cancer determination information. The information output unit 13 outputs the stomach cancer determination information.SELECTED DRAWING: Figure 1 【課題】 本発明は、簡易に実施可能な検査を利用した胃がん判定装置、胃がん判定装置の学習済みモデルの製造方法及び学習済みモデルの提供を目的とする。【解決手段】 本発明の胃がん判定装置１０は、情報取得部１１、胃がん判定部１２、及び、情報出力部１３を含み、前記情報取得部１１は、判定対象者における生体情報を取得し、前記生体情報は、推算糸球体濾過量（ｅＧＦＲ）、体格指数（ＢＭＩ）、並びに、ペプシノーゲン１（ＰＧ１）及びペプシノーゲン２（ＰＧ２）の少なくとも一方の値に基づく数値を含み、前記胃がん判定部１２は、前記生体情報に基づき、前記判定対象者に胃がんがあるか否かを判定して胃がん判定情報を生成し、前記情報出力部１３は、前記胃がん判定情報を出力する。【選択図】 図１