Patents by Inventor Marco Luca Sbodio
Marco Luca Sbodio has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20210118578Abstract: Embodiments for providing clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be automatically generated according for one or more cohorts using evidence data and patient data from one or more data sources.Type: ApplicationFiled: October 22, 2019Publication date: April 22, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Joao H. BETTENCOURT-SILVA, Marco Luca SBODIO, Natalia MULLIGAN, Theodora BRISIMI
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Publication number: 20210056347Abstract: Embodiments for intelligent interpretation of image processing results using machine learning in a computing environment by a processor. One or more data sets may be transformed into one or more pseudo-image representations to enable one or more image processing tasks for image processing. An interpretation of an image processing task result from applying the one or more image processing tasks on the one or more pseudo-image representations generated from one or more data sets.Type: ApplicationFiled: August 20, 2019Publication date: February 25, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Marco Luca SBODIO, Natalia MULLIGAN, Joao BETTENCOURT-SILVA
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Publication number: 20210057098Abstract: Embodiments for intelligent collaborative generation or enhancement of useful medical actions to a user by a processor. One or more useful medical actions may be recommended, with evidence in support thereof, for positively impacting a health state of a user according to data relating to similar users. One or more of the recommended user medical actions may be matched to one or more selected portions of clinical practice guidelines (CPGs). The one or more of the recommended user medical actions may be added as an additional CPG or as an enhancement to one or more of the matching portions of the recommended user medical actions.Type: ApplicationFiled: August 22, 2019Publication date: February 25, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Natalia MULLIGAN, Marco Luca SBODIO, Joao BETTENCOURT-SILVA
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Publication number: 20210034608Abstract: Various embodiments are provided for providing intelligent data utility constraint information in a computing environment are provided. One or more utility constraints may be extracted from a dataset and a set of queries and applications to infer one or more data transformations to apply to selected data.Type: ApplicationFiled: July 30, 2019Publication date: February 4, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon ANTONATOS, Stefano BRAGHIN, Marco Luca SBODIO
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Publication number: 20200335183Abstract: Embodiments for intelligent generation of customized questions or questionnaires by a processor. One or more customized questions or questionnaires may be generated according to a user profile, similar profiles of alternative users, one or more historical interactions with the alternative users, one or more goals defined by a domain experts, domain knowledge, historical questions or questionnaires, or a combination thereof using a machine learning operation.Type: ApplicationFiled: April 19, 2019Publication date: October 22, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo TOMMASI, Marco Luca SBODIO, Vanessa LOPEZ GARCIA, Sebastian Michael LEHRIG, Natalia MULLIGAN
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Publication number: 20200303069Abstract: Embodiments for implementing intelligent clinical practice guidelines by a processor. Selected portions of clinical practice guidelines (CPGs) may be identified according to one or more CPG models, patient pathway models, and current patient profile.Type: ApplicationFiled: March 22, 2019Publication date: September 24, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Natalia MULLIGAN, Marco Luca SBODIO, Alessandra PASCALE, Joao BETTENCOURT-SILVA
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Patent number: 10783154Abstract: Aspects of the present invention disclose a method, computer program product, and system for transposing ranking models. The method includes computer processors determining an initial ranking modeling framework for a record based on analyzing data from a plurality of sources. The record includes a plurality of objects and an object includes at least one feature. The method further includes computer processors determining a mapping of relationships between features included in the record. The method further includes computer processors identifying a user selection of a feature. The method further includes computer processors determining a transposition path between the user selected feature and a set of features having a determined mapped relationship to the user selected feature. The method further includes computer processors modifying ranking information associated with features included in the determined transposition path.Type: GrantFiled: September 29, 2017Date of Patent: September 22, 2020Assignee: International Business Machines CorporationInventors: Spyros Kotoulas, Natasha Mulligan, Marco Luca Sbodio
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Publication number: 20200250047Abstract: Various embodiments are provided for implementing intelligent backup plan creation by a processor in a computing environment. One or more files or directories managed by one or more file hosting services, cloud computing services, or a combination thereof may be identified from among a plurality of files or directories associated with a backup plan. A backup operation may be performed according to the backup plan by only referencing as opposed to including entire content of the one or more files or directories that are managed by the one or more file hosting services, the cloud computing services, or a combination thereof.Type: ApplicationFiled: February 5, 2019Publication date: August 6, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Alessandra PASCALE, Sebastian LEHRIG, Pierpaolo TOMMASI, Marco Luca SBODIO
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Patent number: 10706816Abstract: Embodiments for implementing a fault tolerant color palette in a device having potential hardware faults by a processor. A fault tolerant color palette, assistive of user color interpretation for a display, may be generated according to a set of colors in a predetermined color palette and one or more user preferences.Type: GrantFiled: October 5, 2018Date of Patent: July 7, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Michele Berlingerio, Michele Gazzetti, Marco Luca Sbodio
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Publication number: 20200143273Abstract: Embodiments for implementing intelligent recommendations of convenient event opportunities by a processor. A group of entities may be identified for one or more event opportunities or the one or more event opportunities may be identified for the group of entities according to one or more entity selection criteria and one or more event criteria. The one or more event opportunities and the group of entities may be matched according to a level of convenience for attending the one or more event opportunities of the group of entities. The one or more matching event opportunities may be ranked and suggested to the group of entities.Type: ApplicationFiled: November 5, 2018Publication date: May 7, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Joao H. BETTENCOURT-SILVA, Theodora BRISIMI, Marco Luca SBODIO, Natalia MULLIGAN
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Publication number: 20200111446Abstract: Embodiments for implementing a fault tolerant color palette in a device having potential hardware faults by a processor. A fault tolerant color palette, assistive of user color interpretation for a display, may be generated according to a set of colors in a predetermined color palette and one or more user preferences.Type: ApplicationFiled: October 5, 2018Publication date: April 9, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Michele BERLINGERIO, Michele GAZZETTI, Marco Luca SBODIO
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Patent number: 10565291Abstract: Input text containing a plurality of patient information can be annotated for annotations and extracted. One or more annotations are parsed for relevant contextual information. The one or more annotations are assigned a semantic type. The one or more annotations are visually isolated, personalized to a user profile job, and outputted. The one or more extracted annotations are subjected to natural language processing operations.Type: GrantFiled: October 23, 2017Date of Patent: February 18, 2020Assignee: International Business Machines CorporationInventors: Marco Luca Sbodio, Spyros Kotoulas, Vanessa Lopez Garcia, Natalia Mulligan, Pierpaolo Tommasi
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Publication number: 20190392924Abstract: Embodiments for intelligent recommendation of useful medical actions to a user by a processor. One or more useful medical actions may be cognitively recommended with evidence in support thereof for impacting a health state of a user according to historical data collected from one or more data sources, one or more user profiles, a domain knowledge, feedback data, or a combination thereof. The one or more useful medical actions may be ranked according to a scoring criteria, the domain knowledge, the historical data, a set of rules, previously recommended medical actions, or a combination thereof.Type: ApplicationFiled: June 20, 2018Publication date: December 26, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Joao H. BETTENCOURT-SILVA, Vanessa LOPEZ GARCIA, Natalia MULLIGAN, Marco Luca SBODIO
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Publication number: 20190121841Abstract: Input text containing a plurality of patient information can be annotated for annotations and extracted. One or more annotations are parsed for relevant contextual information. The one or more annotations are assigned a semantic type. The one or more annotations are visually isolated, personalized to a user profile job, and outputted. The one or more extracted annotations are subjected to natural language processing operations.Type: ApplicationFiled: October 23, 2017Publication date: April 25, 2019Inventors: Marco Luca Sbodio, Spyros Kotoulas, Vanessa Lopez Garcia, Natalia Mulligan, Pierpaolo Tommasi
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Publication number: 20190110728Abstract: A system, method and computer program product for augmenting, in real-time, queries/questionnaires administered to a subject by coupling the physiological response of the subject for a given question-answer pair. Further, a method/system augments/annotates answers to questionnaires/surveys/etc. with automatically detected physiological or emotional reactions of the person answering the question/survey/etc. In an embodiment, methods are implemented to: create an augmented representation of question-answer-emotion (i.e., annotating questions/answers from assessments to physiological reactions); and consider the augmented representation and the user profile to suggest actions based on such associations.Type: ApplicationFiled: October 12, 2017Publication date: April 18, 2019Inventors: Marco Luca Sbodio, Spyros Kotoulas, Daniel Rejniak, James Shannon, Nagesh Yadav
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Publication number: 20190102394Abstract: Aspects of the present invention disclose a method, computer program product, and system for transposing ranking models. The method includes computer processors determining an initial ranking modeling framework for a record based on analyzing data from a plurality of sources. The record includes a plurality of objects and an object includes at least one feature. The method further includes computer processors determining a mapping of relationships between features included in the record. The method further includes computer processors identifying a user selection of a feature. The method further includes computer processors determining a transposition path between the user selected feature and a set of features having a determined mapped relationship to the user selected feature. The method further includes computer processors modifying ranking information associated with features included in the determined transposition path.Type: ApplicationFiled: September 29, 2017Publication date: April 4, 2019Inventors: Spyros Kotoulas, Natasha Mulligan, Marco Luca Sbodio
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Publication number: 20190080055Abstract: Embodiments for generating personalized advice to a user by a processor. A health state of a user may be learned from feedback information collected from a plurality of data sources for providing one or more customized communications. One or more customized communications may be provided to a user to alter one or more activities of the user so as to avoid one or more possible negative impacts upon the health state of the user.Type: ApplicationFiled: September 11, 2017Publication date: March 14, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Joao H. BETTENCOURT DA SILVA, Spyros KOTOULAS, Natasha MULLIGAN, Marco Luca SBODIO
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Publication number: 20180365591Abstract: Techniques facilitating assessment result determination based on predictive analytics and/or machine learning are provided. In one example, a computer-implemented method can comprise matching, by a system operatively coupled to a processor, input data retained in a knowledge source database to an inquiry included in a received questionnaire. The input data can be associated with a target entity. The computer-implemented method can also comprise generating, by the system, a response to the inquiry based on the input data retained in the knowledge source database and a feature value that specifies a defined form of the response. The response can be based on an applicability of the input data to the target entity. Further, generating the response can be based on machine learning applied to information retained in the knowledge source database.Type: ApplicationFiled: December 14, 2017Publication date: December 20, 2018Inventors: Fabrizio Cucci, Spyros Kotoulas, Vanessa Lopez, Marco Luca Sbodio
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Publication number: 20180365590Abstract: Techniques facilitating assessment result determination based on predictive analytics and/or machine learning are provided. In one example, a computer-implemented method can comprise matching, by a system operatively coupled to a processor, input data retained in a knowledge source database to an inquiry included in a received questionnaire. The input data can be associated with a target entity. The computer-implemented method can also comprise generating, by the system, a response to the inquiry based on the input data retained in the knowledge source database and a feature value that specifies a defined form of the response. The response can be based on an applicability of the input data to the target entity. Further, generating the response can be based on machine learning applied to information retained in the knowledge source database.Type: ApplicationFiled: June 19, 2017Publication date: December 20, 2018Inventors: Fabrizio Cucci, Spyros Kotoulas, Vanessa Lopez, Marco Luca Sbodio
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Publication number: 20170083632Abstract: An embodiment of the invention provides a method wherein a database query including a first constraint and additional constraint(s) are received in a first node. Data in the first node that satisfies the first constraint is identified, encoded, and sent to a second node. Encoded data is identified in a mapping table in the second node; and, one or more missing identifiers are identified that include encoded data that is not in the mapping table. The missing identifier is sent to the first node, decoded to retrieve the value of the missing identifier, and mapped to the retrieved value. The mapping of the missing identifier and the retrieved value are sent to the second node. A dictionary in the second node is queried with the retrieved value to identify an identification number for the retrieved value. The missing identifier is mapped to the identification number for the retrieved value.Type: ApplicationFiled: September 18, 2015Publication date: March 23, 2017Applicant: International Business Machines CorporationInventors: Spyros Kotoulas, Marco Luca Sbodio, Martin Joseph Stephenson, Pierpaolo Tommasi