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1. 发明专利

JP2012130408A Method for predicting prognosis of patient with ulcerative colitis treated with cap 有权
标题翻译：用CAP治疗患者的患者预后的方法
公开(公告)号：JP2012130408A
公开(公告)日：2012-07-12
申请号：JP2010283106
申请日：2010-12-20
申请人： Noribumi Hibi , Jimro Co Ltd , Susumu Okamoto , Tetsuro Takayama , 晋岡本 , 紀文日比 , 株式会社Jimro , 哲朗高山
发明人： HIBI NORIBUMI , OKAMOTO SUSUMU , TAKAYAMA TETSURO
IPC分类号： A61B5/00 , A61M1/36
摘要： PROBLEM TO BE SOLVED: To provide a method for predicting a long term treatment effect (prognosis) of a patient with ulcerative colitis treated with CAP, a program for executing the method, and a device.SOLUTION: The method is for predicting the prognosis in the case of executing cytapheresis in a patient with ulcerative colitis, and the method for predicting the prognosis after executing the cytapheresis includes: a step of applying input factors including at least a history of hospitalization and a history of surgery and output factors related to the presence/absence of surgery after executing the cytapheresis to an artificial neural network to perform learning; and a step of outputting the necessity of the surgery in the case of executing the cytapheresis by operating the artificial neural network when the input factors are input.
摘要翻译：待解决的问题：提供一种用于预测用CAP治疗的溃疡性结肠炎患者的长期治疗效果（预后）的方法，用于执行该方法的程序和装置。解决方案：该方法用于在溃疡性结肠炎患者中执行细胞分离术的预测情况，并且在执行细胞分离术后预测预后的方法包括：应用输入因子的步骤，所述输入因子包括至少历史住院治疗和手术历史与输血因素相关的手术存在/不执行后进行人工神经网络进行学习; 以及在输入要素时，通过操作人造神经网络来执行血液分离术的情况下输出外科手术的必要性的步骤。版权所有（C）2012，JPO＆INPIT

2. 发明专利

JP2009268680A Apparatus, method and program for predicting prognosis of patient treated with peg 有权
标题翻译：用PEG预处理患者预后的方法和方案
公开(公告)号：JP2009268680A
公开(公告)日：2009-11-19
申请号：JP2008121326
申请日：2008-05-07
申请人： Noribumi Hibi , Otsuka Pharmaceut Factory Inc , Tetsuro Takayama , 紀文日比 , 株式会社大塚製薬工場 , 哲朗高山
发明人： HIBI NORIBUMI , TAKAYAMA TETSURO
IPC分类号： A61B10/00 , A61B19/00 , A61J15/00 , G06F19/00
CPC分类号： G16H50/50 , G06F19/3481 , G16H50/20
摘要： PROBLEM TO BE SOLVED: To provide an apparatus for predicting the prognosis of a patient treated with PEG (percutaneous endoscopic gastrostomy) which provides a sufficient prediction result sufficient for a medical doctor to judge whether it is right or not to perform treatment of PEG to the patient. SOLUTION: The apparatus includes: a prognosis prediction formula storage part 14 which stores prognosis prediction formula calculated by applying a prediction input factor and a prediction output factor relating to a first patient treated with PEG to an ANN (artificial neural network); and a processing part 16 which inputs a diagnostic input factor relating to a second patient for determining whether it is right or not to perform treatment of PEG to a second patient, calculates a diagnostic output factor according to the diagnostic input factor by referring to the prognosis prediction formula stored in the prognosis prediction formula storage part 14, and outputs the calculated diagnostic output factor. COPYRIGHT: (C)2010,JPO&INPIT
摘要翻译：要解决的问题：提供一种用于预测用PEG治疗的患者的预后的装置（经皮内窥镜胃造瘘术），其提供足以使医生判断是否适合的足够的预测结果来执行 PEG给患者该装置包括：预测预测公式存储部14，其存储通过将预测输入因子和与PEG对应的第一患者相关的预测输出因子应用于ANN（人造神经网络）而计算出的预测预测公式; 以及处理部16，其输入与第二患者有关的诊断输入因子，用于确定是否对第二患者进行PEG的治疗，根据诊断输入因子参考预后来计算诊断输出因子预测公式存储部14存储的预测公式，并输出计算出的诊断输出因子。版权所有（C）2010，JPO＆INPIT

3. 发明专利

JP2010200881A Pancreas cystic disease diagnostic apparatus 审中-公开
标题翻译：胰腺癌疾病诊断设备
公开(公告)号：JP2010200881A
公开(公告)日：2010-09-16
申请号：JP2009047733
申请日：2009-03-02
申请人： Hibi Noribumi , Shigenari Hozawa , Tetsuro Takayama , 日比紀文 , 重成朴沢 , 哲朗高山
发明人： HOZAWA SHIGENARI , TAKAYAMA TETSURO
IPC分类号： A61B5/00
CPC分类号： G16H50/20
摘要： PROBLEM TO BE SOLVED: To automatically and accurately determine the names of pancreas cystic diseases only by applying patient's data to the predetermined input items based on the information obtained from the patient's clinic symptoms, a doctor's views and various usual image inspections.
SOLUTION: The input items in a predetermined number are used to get each patient's data inputted according to the system of choosing one from a plurality of items: "0", "1" and "2" per input item. When a diagnosis start button is clicked, an artificial neural network 15 with pre-studied information is operated to display the names of pancreas cystic diseases corresponding to the patient's data.
COPYRIGHT: (C)2010,JPO&INPIT
摘要翻译：要解决的问题：仅通过根据从患者的诊所症状获得的信息，医生的意见和各种常规的图像检查，将患者的数据应用于预定的输入项来自动准确地确定胰腺囊性疾病的名称。
解决方案：预定数量的输入项目用于根据从多个项目选择一个的系统输入每个患者数据：每个输入项目为“0”，“1”和“2”。当点击诊断开始按钮时，操作具有预研究信息的人造神经网络15以显示与患者数据相对应的胰腺囊性疾病的名称。版权所有（C）2010，JPO＆INPIT

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