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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Patent number: 11966993Abstract: Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.Type: GrantFiled: October 22, 2019Date of Patent: April 23, 2024Assignee: International Business Machines CorporationInventors: Theodora Brisimi, Martin Stephenson, Marco Luca Sbodio
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Patent number: 11942226Abstract: 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: GrantFiled: October 22, 2019Date of Patent: March 26, 2024Assignee: International Business Machines CorporationInventors: Joao H Bettencourt-Silva, Marco Luca Sbodio, Natalia Mulligan, Theodora Brisimi
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Patent number: 11914632Abstract: Embodiments for providing an intelligent media data service in a computing environment by a processor. One or more sections of media data are identified and annotated (e.g., tagged) for a user based on a degree of relevancy between a user profile and the media data, wherein the media data include media classification, topic detection, speaker detection and noise detection. The one or more sections of media data are selected for the user based on the tagging of the or more sections.Type: GrantFiled: April 18, 2022Date of Patent: February 27, 2024Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo Tommasi, Marco Luca Sbodio, Yufang Hou
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Publication number: 20240013003Abstract: Embodiments are provided for unsupervised learning of domain specific knowledge graph from textual data and language generation from knowledge graph via reinforcement learning in a computing system by a processor. Unstructured data is automatically parsed into one or more knowledge graphs based on the unstructured data and a list of candidate relations using a first machine learning model. Text data is generated from the one or more knowledge graphs using a second machine learning model.Type: ApplicationFiled: July 11, 2022Publication date: January 11, 2024Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Thanh Lam HOANG, Dzung PHAN, Gabriele PICCO, Lam NGUYEN, Marco Luca SBODIO, Vanessa LOPEZ GARCIA
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Patent number: 11868729Abstract: A system and method for analyzing and explaining the temporal evolution of policies. The analysis of the temporal evolution of policies includes determining semantically related changes in the text of the corresponding policies over time and across the different versions of the (two or more) policy documents. An explanation of the temporal evolution of policies is provided consisting of human interpretable information relating each change to one or more events and/or contextual data. A next steps policy change is also suggested that includes a set of policy conditions based on potential future changes of similar policies and contextual data and event data. The suggestions are related to the policy relevant to the target cohort or individual. The system adapts machine learned models by receiving user feedback provided on an analysis of the correctness of the temporal evolution of policies, corresponding explanations and suggestions of the next actions.Type: GrantFiled: December 29, 2020Date of Patent: January 9, 2024Assignee: International Business Machines CorporationInventors: Joao H Bettencourt-Silva, Natalia Mulligan, Marco Luca Sbodio, Vanessa Lopez Garcia
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Patent number: 11816748Abstract: Systems, computer-implemented methods, and computer program products to facilitate contextual comparison of semantics in conditions of different policies are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a comparison component that contextually compares semantics of conditions in policy data of different policies based on a feature of at least one entity. The computer executable components further comprise a contextualization component that employs a model to provide a contextual explanation of how a first condition in first policy data of a first policy is semantically different from a second condition in second policy data of a second policy based on the feature of the at least one entity.Type: GrantFiled: January 26, 2023Date of Patent: November 14, 2023Assignee: International Business Machines CorporationInventors: Natalia Mulligan, Joao H Bettencourt-Silva, Marco Luca Sbodio, Vanessa Lopez Garcia
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Publication number: 20230334081Abstract: Embodiments for providing an intelligent media data service in a computing environment by a processor. One or more sections of media data are identified and annotated (e.g., tagged) for a user based on a degree of relevancy between a user profile and the media data, wherein the media data include media classification, topic detection, speaker detection and noise detection. The one or more sections of media data are selected for the user based on the tagging of the or more sections.Type: ApplicationFiled: April 18, 2022Publication date: October 19, 2023Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo TOMMASI, Marco Luca SBODIO, Yufang HOU
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Publication number: 20230325775Abstract: Embodiments are provided for providing predictive computing and data analytics for project management in a computing system by a processor. A lifecycle of each of a plurality of objects may be monitored based on data received from a plurality of data sources. Predictive analytics for project management of each of the plurality of objects may be provide based on monitoring the lifecycle of each of the plurality of objects.Type: ApplicationFiled: April 11, 2022Publication date: October 12, 2023Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Gabriele PICCO, Natalia MULLIGAN, Thanh Lam HOANG, Marco Luca SBODIO
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Publication number: 20230297784Abstract: The present inventive concept provides for a method for automated decision modelling from text including obtaining a text corpus including a policy. Terms and syntax are identified within the text corpus related to the policy. Sentence similarities and co-references based on the terms and syntax are identified. Discourse and sentence level semantic parsing is performed based on the terms and the sentence similarities and the co-references using machine learning. A decision model template is generated based on the discourse and semantic parsing, and the decision model template is transformed into an automated decision model.Type: ApplicationFiled: March 17, 2022Publication date: September 21, 2023Inventors: Vanessa Lopez Garcia, Thanh Lam Hoang, Yufang Hou, Denisa Claudia Moga, Gabriele Picco, Marco Luca Sbodio, Inge Lise Vejsbjerg
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Publication number: 20230297851Abstract: A first set of an entity is received, where the first set of data includes distinct characteristics of the entity. A second set of data on one or more domains of the entity is received. Using the first and second set of data, a probabilistic knowledge graph for the entity is generated that includes an entity node, a first plurality of nodes, and a second plurality of nodes. The first plurality of nodes are connected to the entity node and represent each of the distinct characteristics. The second plurality of nodes are connected via probabilistic edges, where each of these probabilistic edges has an associated confidence score. This confidence score is determined using the second set of data.Type: ApplicationFiled: March 21, 2022Publication date: September 21, 2023Inventors: Marco Luca Sbodio, Natalia Mulligan, Vanessa Lopez Garcia, Inge Lise Vejsbjerg, Joao H Bettencourt-Silva
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Patent number: 11721438Abstract: 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: GrantFiled: August 22, 2019Date of Patent: August 8, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Natalia Mulligan, Marco Luca Sbodio, Joao Bettencourt-Silva
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Publication number: 20230237399Abstract: Various embodiments are provided for correlating regulatory data in a computing environment by a processor. A rule may be associated with one or more textual paragraphs extracted from a policy document that describes at least a portion of the rule.Type: ApplicationFiled: January 27, 2022Publication date: July 27, 2023Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Thanh Lam HOANG, Marco Luca SBODIO, Vanessa LOPEZ GARCIA, Natalia MULLIGAN, Yufang HOU, Gabriele PICCO, Inge Lise VEJSBJERG, Joao H BETTENCOURT-SILVA
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Patent number: 11694815Abstract: Embodiments for implementing intelligent ranking of sections of clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be identified and analyzed. A score may be assigned to one or more sections of the CPGs according evidential data identified in one or more data sources. The one or more sections of the CPGs may be ranked according to the scoring.Type: GrantFiled: October 22, 2019Date of Patent: July 4, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Joao H. Bettencourt-Silva, Natalia Mulligan, Marco Luca Sbodio, Theodora Brisimi
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Publication number: 20230177634Abstract: In an approach for predicting an effectiveness of a given social program for a given patient at one or more points in time and for providing a score indicating the accuracy of the prediction and an explanation of the prediction, a processor receives a request from a user. Responsive to determining a social program database contains historical data on the given social program, a processor analyzes a set of patients associated with the given social program. A processor predicts the effectiveness of the given social program for the given patient at the one or more points in time using a prediction model trained to predict an effectiveness score and a confidence score. A processor outputs a prediction of the effectiveness of the given social program for the given patient at the one or more points in time to the user.Type: ApplicationFiled: December 8, 2021Publication date: June 8, 2023Inventors: Natalia Mulligan, Marco Luca Sbodio, Joao H. Bettencourt-Silva, Gabriele Picco, Vanessa Lopez Garcia, Conor Patrick Cullen
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Publication number: 20230177627Abstract: Systems, computer-implemented methods, and computer program products to facilitate contextual comparison of semantics in conditions of different policies are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a comparison component that contextually compares semantics of conditions in policy data of different policies based on a feature of at least one entity. The computer executable components further comprise a contextualization component that employs a model to provide a contextual explanation of how a first condition in first policy data of a first policy is semantically different from a second condition in second policy data of a second policy based on the feature of the at least one entity.Type: ApplicationFiled: January 26, 2023Publication date: June 8, 2023Inventors: Natalia Mulligan, Joao H Bettencourt-Silva, Marco Luca Sbodio, Vanessa Lopez Garcia
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Patent number: 11646116Abstract: A neural network is trained with patient historical data including features of patient pathways and labels characterizing a type of the patient pathways. During a runtime phase, the trained neural network matches a current patient profile with the patient historical data to extract selected portions of clinical practice guidelines (CPGs) identified according to one or more generated CPG models, the patient pathway models, and the current patient profile.Type: GrantFiled: March 22, 2019Date of Patent: May 9, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Natalia Mulligan, Marco Luca Sbodio, Alessandra Pascale, Joao Bettencourt-Silva
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Patent number: 11619918Abstract: Embodiments are disclosed for a method. The method includes generating statistical models of circadian rhythms based on circadian rhythm data generated by mobile computing devices of occupants of a building having a building automation system. The method also includes identifying room occupants of a room disposed within the building. Additionally, the method includes determining ambient settings for an ambient system operated by the building automation system based on a subset of the statistical models, wherein the subset corresponds to the identified room occupants. The method further includes determining a trade-off ambient setting based on the ambient settings.Type: GrantFiled: September 28, 2020Date of Patent: April 4, 2023Assignee: International Business Machines CorporationInventors: Marco Luca Sbodio, Caroline A. O'Connor, Omar O'Sullivan, Seshu Tirupathi
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Patent number: 11615493Abstract: Systems, computer-implemented methods, and computer program products to facilitate contextual comparison of semantics in conditions of different policies are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a comparison component that contextually compares semantics of conditions in policy data of different policies based on a feature of at least one entity. The computer executable components further comprise a contextualization component that employs a model to provide a contextual explanation of how a first condition in first policy data of a first policy is semantically different from a second condition in second policy data of a second policy based on the feature of the at least one entity.Type: GrantFiled: December 16, 2020Date of Patent: March 28, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Natalia Mulligan, Joao H Bettencourt-Silva, Marco Luca Sbodio, Vanessa Lopez Garcia
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Patent number: 11581069Abstract: 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: GrantFiled: April 19, 2019Date of Patent: February 14, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo Tommasi, Marco Luca Sbodio, Vanessa Lopez Garcia, Sebastian Michael Lehrig, Natalia Mulligan
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Publication number: 20220414477Abstract: In an approach for explaining a theorem proving model, a processor predicts a truth value of a query through a pre-trained theorem proving model, based on the query and one or more facts and rules in a knowledge base. A processor ranks the one or more facts and rules according to contribution, calculated in a pre-defined scoring method, made to the predicted truth value of the query. A processor generates a proof of the predicted truth value, wherein the proof is one or more logical steps that demonstrate the predicted truth value in a natural language. A processor outputs the proof.Type: ApplicationFiled: June 25, 2021Publication date: December 29, 2022Inventors: Gabriele Picco, Thanh Lam Hoang, Marco Luca Sbodio, Vanessa Lopez Garcia, Natalia Mulligan