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1.发明申请METHOD AND SYSTEM FOR OUTCOME BASED REFERRAL USING HEALTHCARE DATA OF PATIENT AND PHYSICIAN POPULATIONS 有权使用患者和医疗人群健康数据的基于结果的参考方法和系统公开(公告)号：US20120109683A1
公开(公告)日：2012-05-03
申请号：US12913042
申请日：2010-10-27
申请人： SHAHRAM EBADOLLAHI , Jianying Hu , Martin S. Kohn , Jonathan D. Laserson , Hani Neuvirth-Telem , Lavi Shpigelman , Robert K. Sorrentino
发明人： SHAHRAM EBADOLLAHI , Jianying Hu , Martin S. Kohn , Jonathan D. Laserson , Hani Neuvirth-Telem , Lavi Shpigelman , Robert K. Sorrentino
IPC分类号： G06Q50/00
CPC分类号： G06Q50/24 , G06F19/00 , G06Q10/06393
摘要： A recommendation system and method includes extracting patient features for a current patient to generate representation of the current patient. The patient features for the current patient are compared to physician features of one or more physicians and patient-to-physician features of a group of patients from medically related records. Outcome measures associated with physicians are compared related to a current query. A future outcome for patient, physician pairs are predicted for the current patient based upon at least one predictive model constructed from the features and outcome measures to output.
摘要翻译： 推荐系统和方法包括提取当前患者的患者特征以产生当前患者的表示。 将当前患者的患者特征与来自医学相关记录的一组患者的一个或多个医生的医师特征和患者对医生特征进行比较。 与医生相关的结果指标与当前查询进行比较。 基于从功能和结果测量输出构建的至少一个预测模型，对患者，医师对的未来结果进行预测。
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2.发明申请DETECTING UNEXPECTED HEALTHCARE UTILIZATION BY CONSTRUCTING CLINICAL MODELS OF DOMINANT UTILIZATION GROUPS 审中-公开通过构建主要利用组的临床模型来检测意外健康利用公开(公告)号：US20120209620A1
公开(公告)日：2012-08-16
申请号：US13028753
申请日：2011-02-16
IPC分类号： G06Q50/00
CPC分类号： G06Q10/06393 , G06Q10/0637 , G06Q50/22
摘要： A system and method for identifying unexpected utilization profiles at a patient level includes determining one or more clusters that have a profile based on patient profiles and building a representative model for each cluster including demographic and clinical information. Using the model, demographic and clinical characteristics are determined which form expected utilization cluster. An expected utilization cluster for each patient, which is derived from the demographic features and the clinical characteristics, is compared against an actual utilization profile for that patient to determine whether the actual utilization profile is unexpected.
摘要翻译： 用于识别患者级别的意外利用简档的系统和方法包括基于患者简档确定具有简档的一个或多个聚类，并为包括人口统计学和临床信息的每个聚类构建代表性模型。 使用模型，确定形成预期利用集群的人口统计学和临床特征。 将根据人口统计特征和临床特征导出的每个患者的预期利用集群与该患者的实际利用率曲线进行比较，以确定实际利用率曲线是否是意外的。
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3.发明申请公开(公告)号：US20120041277A1
公开(公告)日：2012-02-16
申请号：US12855068
申请日：2010-08-12
IPC分类号： A61B5/00
CPC分类号： A61B5/0205 , A61B5/02055 , A61B5/021 , A61B5/024 , A61B5/0402 , A61B5/14542 , A61B5/7257 , A61B5/726 , G16H50/70
摘要： A system and method for predicting near term measurements of a patient includes a stream processor configured to summarize raw measurements from patients into signatures and construct optimal prediction models based on previously obtained signatures. A similar patient tracker is configured to monitor similar patient information for a query patient. The similar patient information is determined based on a similarity between the query patient and signatures of other patients. A model analyzer is configured to employ retrofitted optimal prediction models from similar patients to predict near term measurements of the query patient.
摘要翻译： 用于预测患者的近期测量的系统和方法包括流处理器，其被配置为将来自患者的原始测量总结为签名，并且基于先前获得的签名构建最佳预测模型。 类似的患者跟踪器被配置为监视查询患者的类似患者信息。 基于查询患者和其他患者的签名之间的相似性来确定类似的患者信息。 模型分析器被配置为使用来自类似患者的改进的最佳预测模型来预测查询患者的近期测量。
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4.发明申请SYSTEM AND METHOD FOR COMPOSITE DISTANCE METRIC LEVERAGING MULTIPLE EXPERT JUDGMENTS 有权用于组合距离的系统和方法度量指标多项专家评估公开(公告)号：US20120089551A1
公开(公告)日：2012-04-12
申请号：US13070084
申请日：2011-03-23
申请人： SHAHRAM EBADOLLAHI , Jimeng Sun , Fei Wang
发明人： SHAHRAM EBADOLLAHI , Jimeng Sun , Fei Wang
IPC分类号： G06N5/02
摘要： A system and method for a composite distance metric leveraging multiple expert judgments includes inputting a data distribution of multiple expert judgments stored on a computer readable storage medium. Base distance metrics are converted into neighborhoods for comparison, wherein each base distance metric represents an expert. The neighborhoods are combined to leverage the local discriminalities of all base distance metrics by applying at least one iterative process to output a composite distance metric.
摘要翻译： 利用多个专家判断的用于复合距离度量的系统和方法包括输入存储在计算机可读存储介质上的多个专家判断的数据分布。 基本距离度量被转换为邻域用于比较，其中每个基本距离度量表示专家。 通过应用至少一个迭代过程来输出复合距离度量，将所述邻域组合以利用所有基本距离度量的本地区分。
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