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    • 2. 发明申请
    • METHOD TO IDENTIFY OPTIMUM CORONARY ARTERY DISEASE TREATMENT
    • 识别最佳冠状动脉疾病治疗的方法
    • WO2014078615A1
    • 2014-05-22
    • PCT/US2013/070225
    • 2013-11-15
    • SIEMENS HEALTHCARE DIAGNOSTICS INC.KAMEN, AliSINGH, Maneesh KumarPOELSTERL, SebastianLADIC, Lance AnthonyCOMANICIU, Dorin
    • KAMEN, AliSINGH, Maneesh KumarPOELSTERL, SebastianLADIC, Lance AnthonyCOMANICIU, Dorin
    • G06F19/00
    • G06F19/345G06F19/00G06N3/0472G06N3/08G16H50/20
    • A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.
    • 一种鉴定患有冠状动脉疾病的患者的最佳治疗的方法,包括:(i)提供患者信息,所述患者信息选自:(a)患者中一种或多种冠状动脉疾病相关生物标志物的状态; (b)从先前情况史,干预史和用药史选择的一项或多项病史信息; (c)患者具有诊断史的一项或多项诊断史; 和(d)一个或多个人口统计数据项目; (ii)在以下方面聚合患者信息:(a)贝叶斯网络; (b)机器学习和神经网络; (c)基于规则的制度; 和(d)基于回归的系统; (iii)通过放置裸金属支架或药物涂层支架,导出包括经皮冠状动脉介入的每个干预的预测概率不良事件结果; 或通过冠状动脉旁路移植术; 和(iv)确定具有最低预测概率不良结果的干预。