# US 2018/0322252 A1 · Rationale generation management > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0322252 A1 - Document ID: US20180322252A1 - Status: Published application - Kind: A1 - Application number: 15/588,732 - Filed: 2017-05-08 - Published: 2018-11-08 - Earliest claimed: 2017-05-08 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Thomas J. Eggebraaten; Marie L. Setnes - Web page: https://patentgrep.com/patent/US20180322252A1 ## CPC - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 10/20: for electronic clinical trials or questionnaires - G16H 20/00: ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance - G16H 20/40: relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture - 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 Disclosed aspects relate to generating rationales for treatment options. A set of preference scores that indicates a first preference score for a first treatment option of a set of treatment options may be received. A rank-order that indicates a first ranking for the first treatment option may be received. The set of preference scores may be analyzed with respect to the rank-order to determine a relationship between the first preference score and the first ranking for the first treatment option. Based on the relationship between the first preference score and the first ranking, a set of rationale data for the first treatment option may be generated with respect to the first rank. Based on a user profile for a user, the set of rationale data may be configured for the user. The set of rationale data which is configured for the user may be provided. ## Claims ### Claim 1 A computer-implemented method for automatically generating rationales for a set of treatment options, the method comprising: receiving, with respect to the set of treatment options, a set of preference scores that indicates a first preference score for a first treatment option of the set of treatment options; receiving, with respect to the set of treatment options, a rank-order that indicates a first ranking for the first treatment option of the set of treatment options; determining, by analyzing the set of preference scores with respect to the rank-order, a relationship between the first preference score and the first ranking for the first treatment option; generating, based on the relationship between the first preference score and the first ranking, a set of rationale data for the first treatment option with respect to the first ranking; configuring, based on a user profile for a user, the set of rationale data for the user; and providing the set of rationale data which is configured for the user. ### Claim 2 (depends on 1) The method of claim 1, further comprising: detecting, to determine the relationship between the first preference score and the first ranking for the first treatment option, a set of attributes that characterize a merit feature of the set of treatment options. ### Claim 3 (depends on 2) The method of claim 2, further comprising: detecting, to determine the relationship between the first preference score and the first ranking for the first treatment option, a set of exclusion factors that characterize a demerit feature of the set of treatment options. ### Claim 4 (depends on 3) The method of claim 3, further comprising: determining, based on the relationship between the first preference score and the first ranking, that the first preference score achieves a match with respect to the first ranking; and compiling, to generate the set of rationale data in an automated fashion, a first subset of attributes of the set of attributes that corresponds to the first treatment option of the set of treatment options. ### Claim 5 (depends on 3) The method of claim 3, further comprising: determining, based on the relationship between the first preference score and the first ranking, that the first preference score fails to achieve a match with respect to the first ranking; and compiling, to generate the set of rationale data in an automated fashion, both a first subset of attributes of the set of attributes that corresponds to the first treatment option of the set of treatment options and a first subset of exclusion factors of the set of exclusion factors that corresponds to the first treatment option of the set of treatment options. ### Claim 6 (depends on 3) The method of claim 3, further comprising: determining, based on the relationship between the first preference score and the first ranking, that the first preference score achieves a discrepancy threshold with respect to the first ranking; and compiling, to generate the set of rationale data in an automated fashion, both a second subset of attributes of the set of attributes that corresponds to a second treatment option of the set of treatment options and a second subset of exclusion factors of the set of exclusion factors that corresponds to the second treatment option of the set of treatment options. ### Claim 7 (depends on 3) The method of claim 3, further comprising: filtering, in an automated fashion based on a set of attribute priority criteria, the set of attributes to remove a second subset of attributes from the set of attributes. ### Claim 8 (depends on 1) The method of claim 1, further comprising: executing, in a dynamic fashion to streamline generating rationales for the set of treatment options, each of: the receiving, the receiving, the determining, the generating, the configuring, and the providing. ### Claim 9 (depends on 1) The method of claim 1, further comprising: executing, in an automated fashion without user intervention, each of: the receiving, the receiving, the determining, the generating, the configuring, and the providing. ### Claim 10 A system for automatically generating rationales for a set of treatment options, the system comprising: a memory having a set of computer readable computer instructions, and a processor for executing the set of computer readable instructions, the set of computer readable instructions including: receiving, with respect to the set of treatment options, a set of preference scores that indicates a first preference score for a first treatment option of the set of treatment options; receiving, with respect to the set of treatment options, a rank-order that indicates a first ranking for the first treatment option of the set of treatment options; determining, by analyzing the set of preference scores with respect to the rank-order, a relationship between the first preference score and the first ranking for the first treatment option; generating, based on the relationship between the first preference score and the first ranking, a set of rationale data for the first treatment option with respect to the first ranking; configuring, based on a user profile for a user, the set of rationale data for the user; and providing the set of rationale data which is configured for the user. ### Claim 11 (depends on 10) The system of claim 10, further comprising: detecting, to determine the relationship between the first preference score and the first ranking for the first treatment option, a set of attributes that characterize a merit feature of the set of treatment options. ### Claim 12 (depends on 11) The system of claim 11, further comprising: detecting, to determine the relationship between the first preference score and the first ranking for the first treatment option, a set of exclusion factors that characterize a demerit feature of the set of treatment options. ### Claim 13 (depends on 12) The system of claim 12, further comprising: determining, based on the relationship between the first preference score and the first ranking, that the first preference score achieves a match with respect to the first ranking; and compiling, to generate the set of rationale data in an automated fashion, a first subset of attributes of the set of attributes that corresponds to the first treatment option of the set of treatment options. ### Claim 14 (depends on 12) The system of claim 12, further comprising: determining, based on the relationship between the first preference score and the first ranking, that the first preference score fails to achieve a match with respect to the first ranking; and compiling, to generate the set of rationale data in an automated fashion, both a first subset of attributes of the set of attributes that corresponds to the first treatment option of the set of treatment options and a first subset of exclusion factors of the set of exclusion factors that corresponds to the first treatment option of the set of treatment options. ### Claim 15 (depends on 12) The system of claim 12, further comprising: determining, based on the relationship between the first preference score and the first ranking, that the first preference score achieves a discrepancy threshold with respect to the first ranking; and compiling, to generate the set of rationale data in an automated fashion, both a second subset of attributes of the set of attributes that corresponds to a second treatment option of the set of treatment options and a second subset of exclusion factors of the set of exclusion factors that corresponds to the second treatment option of the set of treatment options. ### Claim 16 (depends on 12) The system of claim 12, further comprising: filtering, in an automated fashion based on a set of attribute priority criteria, the set of attributes to remove a second subset of attributes from the set of attributes. ### Claim 17 (depends on 10) The system of claim 10, further comprising: executing, in a dynamic fashion to streamline generating rationales for the set of treatment options, each of: the receiving, the receiving, the determining, the generating, the configuring, and the providing. ### Claim 18 (depends on 10) The system of claim 10, further comprising: executing, in an automated fashion without user intervention, each of: the receiving, the receiving, the determining, the generating, the configuring, and the providing. ### Claim 19 A computer program product for automatically generating rationales for a set of treatment options, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising: receiving, with respect to the set of treatment options, a set of preference scores that indicates a first preference score for a first treatment option of the set of treatment options; receiving, with respect to the set of treatment options, a rank-order that indicates a first ranking for the first treatment option of the set of treatment options; determining, by analyzing the set of preference scores with respect to the rank-order, a relationship between the first preference score and the first ranking for the first treatment option; generating, based on the relationship between the first preference score and the first ranking, a set of rationale data for the first treatment option with respect to the first ranking; configuring, based on a user profile for a user, the set of rationale data for the user; and providing the set of rationale data which is configured for the user. ### Claim 20 (depends on 19) The computer program product of claim 19, further comprising: detecting, to determine the relationship between the first preference score and the first ranking for the first treatment option, a set of attributes that characterize a merit feature of the set of treatment options; detecting, to determine the relationship between the first preference score and the first ranking for the first treatment option, a set of exclusion factors that characterize a demerit feature of the set of treatment options; determining, based on the relationship between the first preference score and the first ranking, that the first preference score achieves a match with respect to the first ranking; compiling, to generate the set of rationale data in an automated fashion, a first subset of attributes of the set of attributes that corresponds to the first treatment option of the set of treatment options; determining, based on the relationship between the first preference score and the first ranking, that the first preference score fails to achieve a match with respect to the first ranking; compiling, to generate the set of rationale data in an automated fashion, both a first subset of attributes of the set of attributes that corresponds to the first treatment option of the set of treatment options and a first subset of exclusion factors of the set of exclusion factors that corresponds to the first treatment option of the set of treatment options; determining, based on the relationship between the first preference score and the first ranking, that the first preference score achieves a discrepancy threshold with respect to the first ranking; compiling, to generate the set of rationale data in an automated fashion, both a second subset of attributes of the set of attributes that corresponds to a second treatment option of the set of treatment options and a second subset of exclusion factors of the set of exclusion factors that corresponds to the second treatment option of the set of treatment options; and filtering, in an automated fashion based on a set of attribute priority criteria, the set of attributes to remove a second subset of attributes from the set of attributes.