# US 2019/0378596 A1 · Device and method for matching medical data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0378596 A1 - Document ID: US20190378596A1 - Status: Published application - Kind: A1 - Application number: 15/999,688 - Filed: 2018-01-25 - Published: 2019-12-12 - Earliest claimed: 2017-06-21 - Assignees: Boe Technology Group Co., Ltd. - Applicants: Boe Technology Group Co., Ltd. - Inventors: Xuan LIANG; Chao ZHANG - Web page: https://patentgrep.com/patent/US20190378596A1 ## CPC - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 50/30: for calculating health indices; for individual health risk assessment - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract The present disclosure provides a device and a method for matching medical data. The device includes a computing device configured to compute an overall similarity between a current object and each object in a set of objects, wherein the overall similarity is determined by one or more of an original region similarity, a living region similarity, a relevant physiological parameter similarity, and a critical time similarity, and a selector configured to select, from the set of objects, an object with the overall similarity greater than a first threshold or a predetermined number of or a predetermined proportion of objects with the overall similarities being ranked on the top, to form a reference object subset for the current object. ## Claims ### Claim 1 A device for matching medical data comprising: a computing device configured to compute an overall similarity between a current object and each object in a set of objects, wherein the overall similarity is determined by at least one of an original region similarity, a living region similarity, a relevant physiological parameter similarity, and a critical time similarity between the current object and each object in the set of objects; and a selector configured to select, from the set of objects, an object with the overall similarity greater than i) a first threshold, or ii) a predetermined number of objects or a predetermined proportion of objects with the overall similarities being ranked on the top, to form a reference object subset for the current object. ### Claim 2 (depends on 1) The device according to claim 1, wherein the overall similarity is computed as a weighted sum of at least one of the original region similarity, the living region similarity, the relevant physiological parameter similarity, and the critical time similarity. ### Claim 3 (depends on 1) The device according to claim 1, wherein the original region similarity represents proximity between geographical locations of ancestral homes of the objects. ### Claim 4 (depends on 3) The device according to claim 3, wherein the original region similarity is computed based on following formula: OH i , j =  L - OD i , j L + OD i , j  , wherein OHi,j represents the original region similarity between the objects i and j, ODi,j represents a distance between the ancestral homes of the objects i and j, and L represents a half of the earth's equatorial circumference. ### Claim 5 (depends on 1) The device according to claim 1, wherein the living region similarity represents proximity between geographical locations of living regions of the objects. ### Claim 6 (depends on 5) The device according to claim 5, wherein the living region similarity is computed based on following formula: LA i , j =  L - LD i , j L + LD i , j  , wherein LAi,j represents the living region similarity between the objects i and j, LDi,j represents a distance between the living regions of the objects i and j, and L represents a half of the earth's equatorial circumference. ### Claim 7 (depends on 1) The device according to claim 1, wherein the relevant physiological parameter similarity represents a similarity degree between relevant physiological parameters of the objects. ### Claim 8 (depends on 7) The device according to claim 7, wherein the relevant physiological parameter similarity is computed based on following formula: ST i , j = 2  S i · S j T ( S i · C T + S j · C T ) , wherein STi,j represents the relevant physiological parameter similarity between the objects i and j, Si represents a relevant physiological parameter vector of the object i, SjT represents a transposition of the relevant physiological parameter vector of the object j, CT represents a transposition of a vector with all elements being 1, and wherein each element of the relevant physiological parameter vector corresponds to one symptom, and if an object has a certain symptom, the element corresponding to the symptom of the relevant physiological parameter vector of the object is set to 1, otherwise the element is set to 0. ### Claim 9 (depends on 1) The device according to claim 1, wherein the critical time similarity represents a similarity degree between the durations for disease symptoms of the objects. ### Claim 10 (depends on 9) The device according to claim 9, wherein the critical time similarity is computed based on following formula: TF i , j = ∑ k = 1 n  ( 1 -  T ik - T jk  T ik + T jk ) / n , wherein TFi,j represents the critical time similarity between the objects i and j, Tik represents a duration for the kth symptom of the object i, Tjk represents a duration for the kth symptom of the object j, and n represents a total number of symptoms. ### Claim 11 A method for matching medical data, the method comprising: computing an overall similarity between a current object and each object in a set of objects, wherein the overall similarity is determined by at least one of an original region similarity, a living region similarity, a relevant physiological parameter similarity, and a critical time similarity; and selecting, from the set of objects, an object with the overall similarity greater than i) a first threshold, or ii) a predetermined number of objects or a predetermined proportion of objects with the overall similarities being ranked on the top, to form a reference object subset for the current object. ### Claim 12 (depends on 11) The method according to claim 11, wherein the overall similarity is computed as a weighted sum of at least one of the original region similarity, the living region similarity, the relevant physiological parameter similarity, and the critical time similarity. ### Claim 13 (depends on 11) The method according to claim 11, wherein the original region similarity represents proximity between geographical locations of ancestral homes of the objects. ### Claim 14 (depends on 13) The method according to claim 13, wherein the original region similarity is computed based on following formula: OH i , j =  L - OD i , j L + OD i , j  , wherein OHi,j represents the original region similarity between the objects i and j, ODi,j represents a distance between the ancestral homes of the objects i and j, and L represents a half of the earth's equatorial circumference. ### Claim 15 (depends on 11) The method according to claim 11, wherein the living region similarity represents proximity between geographical locations of living regions of the objects. ### Claim 16 (depends on 15) The method according to claim 15, wherein the living region similarity is computed based on following formula: LA i , j =  L - LD i , j L + LD i , j  , wherein LAi,j represents the living region similarity between the objects i and j, LDi,j represents a distance between the living regions of the objects i and j, and L represents a half of the earth's equatorial circumference. ### Claim 17 (depends on 11) The method according to claim 11, wherein the relevant physiological parameter similarity represents a similarity degree between disease symptoms of the objects. ### Claim 18 (canceled) ### Claim 19 (depends on 11) The method according to claim 11, wherein the critical time similarity represents a similarity degree between durations for disease symptoms of the objects. ### Claim 20 (canceled) ### Claim 21 (depends on 11) A computer system, comprising a processor and a memory connected to the processor, wherein the memory stores program instructions, and wherein the processor is configured to perform the method according to claim 11 by loading and executing the program instructions in the memory. ### Claim 22 (depends on 11) A storage medium, storing program instructions, wherein the program instructions are loaded and executed by a processor to perform the method according to claim 11.