Patents by Inventor Robert K. Sorrentino
Robert K. Sorrentino 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: 10803144Abstract: A processor-implemented method, computer program product and system are provided for predicting drug-drug interactions based on clinical side effects. The method includes constructing a drug-drug interactions training dataset that includes pharmaceutical, pharmacokinetic or pharmacodynamics drug-drug interactions from multiple data sources for each of a plurality of drugs. The method also includes constructing side effect features for each of the drugs from side effects associated with the drugs. The method further includes building, using the drug-drug interactions training dataset, a drug-drug interactions classifier that predicts adverse drug-drug interactions for drug pairs derivable from the drugs.Type: GrantFiled: May 6, 2014Date of Patent: October 13, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Patent number: 10692588Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: GrantFiled: October 7, 2016Date of Patent: June 23, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Patent number: 10685741Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: GrantFiled: October 7, 2016Date of Patent: June 16, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Publication number: 20170098062Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: ApplicationFiled: October 7, 2016Publication date: April 6, 2017Inventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Publication number: 20170098063Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: ApplicationFiled: October 7, 2016Publication date: April 6, 2017Inventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Patent number: 9536194Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: GrantFiled: August 20, 2013Date of Patent: January 3, 2017Assignee: International Business Machines CorporationInventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Patent number: 9530095Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: GrantFiled: August 19, 2013Date of Patent: December 27, 2016Assignee: International Business Machines CorporationInventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Publication number: 20150324693Abstract: A processor-implemented method, computer program product and system are provided for predicting drug-drug interactions based on clinical side effects. The method includes constructing a drug-drug interactions training dataset that includes pharmaceutical, pharmacokinetic or pharmacodynamics drug-drug interactions from multiple data sources for each of a plurality of drugs. The method also includes constructing side effect features for each of the drugs from side effects associated with the drugs. The method further includes building, using the drug-drug interactions training dataset, a drug-drug interactions classifier that predicts adverse drug-drug interactions for drug pairs derivable from the drugs.Type: ApplicationFiled: May 6, 2014Publication date: November 12, 2015Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Publication number: 20150006439Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: ApplicationFiled: August 20, 2013Publication date: January 1, 2015Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Publication number: 20150006438Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.Type: ApplicationFiled: August 19, 2013Publication date: January 1, 2015Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Nan Cao, Jianying Hu, Robert K. Sorrentino, Fei Wang, Ping Zhang
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Publication number: 20140195260Abstract: A plurality of actual outcome data points, including actual outcomes for a plurality of episodes of a process, are obtained for the process. A practitioner-independent baseline outcome is also obtained for the process. For each given one of the actual outcome data points, the given one of the actual outcome data points is equated to the practitioner entity-independent baseline outcome multiplied by a plurality of unknown participating practitioner entity outcome indices for each of a plurality of participating practitioner entities. Each of the participating practitioner entity outcome indices is raised to an exponent including a corresponding one of a plurality of unknown participating practitioner entity type indices, to obtain a plurality of equations. The plurality of equations are solved to obtain estimated values of the unknown participating practitioner entity outcome indices and estimated values of the unknown participating practitioner entity type indices.Type: ApplicationFiled: December 30, 2013Publication date: July 10, 2014Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jianying Hu, Fei Wang, Robert K. Sorrentino, Shahram Ebadollahi
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Patent number: 8660857Abstract: 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.Type: GrantFiled: October 27, 2010Date of Patent: February 25, 2014Assignee: International Business Machines CorporationInventors: Shahram Ebadollahi, Jianying Hu, Martin S. Kohn, Jonathan D. Laserson, Hani Neuvirth-Telem, Lavi Shpigelman, Robert K. Sorrentino
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Patent number: 8620690Abstract: A plurality of actual outcome data points, including actual outcomes for a plurality of episodes of a process, are obtained for the process. A practitioner-independent baseline outcome is also obtained for the process. For each given one of the actual outcome data points, the given one of the actual outcome data points is equated to the practitioner entity-independent baseline outcome multiplied by a plurality of unknown participating practitioner entity outcome indices for each of a plurality of participating practitioner entities. Each of the participating practitioner entity outcome indices is raised to an exponent including a corresponding one of a plurality of unknown participating practitioner entity type indices, to obtain a plurality of equations. The plurality of equations are solved to obtain estimated values of the unknown participating practitioner entity outcome indices and estimated values of the unknown participating practitioner entity type indices.Type: GrantFiled: December 6, 2011Date of Patent: December 31, 2013Assignee: International Business Machines CorporationInventors: Jianying Hu, Fei Wang, Robert K. Sorrentino, Shahram Ebadollahi
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Patent number: 8583586Abstract: Methods and systems for event pattern mining are shown that include representing longitudinal event data in a measurable geometric space as a temporal event matrix representation (TEMR) using spatial temporal shapes, wherein event data is organized into hierarchical categories of event type and performing temporal event pattern mining with a processor by locating visual event patterns among the spatial temporal shapes of said TEMR using a constraint sparse coding framework.Type: GrantFiled: January 21, 2011Date of Patent: November 12, 2013Assignee: International Business Machines CorporationInventors: Shahram Ebadollahi, Jianying Hu, Martin S. Kohn, Noah Lee, Robert K. Sorrentino, Jimeng Sun, Fei Wang
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Publication number: 20130231953Abstract: A system, method and program product for matching members of a population, e.g., patients, based on member similarities. Patients are mapped to a bipartite graph with patient nodes connected by weighted edges to clustered factor nodes, are clustered categorically. As a new patient query is received, a similarity measure for each other patient is generated for each cluster by comparing cluster edges. The cluster similarity measures are aggregated for each patient to provide a global closeness measure to every other patient. Based on the global closeness measure, a list of the closest patients is displayed and measurement feedback may be provided.Type: ApplicationFiled: March 1, 2012Publication date: September 5, 2013Inventors: Shahram Ebadollahi, Jianying HU, Jimeng Sun, Robert K. Sorrentino
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Publication number: 20130144639Abstract: A plurality of actual outcome data points, including actual outcomes for a plurality of episodes of a process, are obtained for the process. A practitioner-independent baseline outcome is also obtained for the process. For each given one of the actual outcome data points, the given one of the actual outcome data points is equated to the practitioner entity-independent baseline outcome multiplied by a plurality of unknown participating practitioner entity outcome indices for each of a plurality of participating practitioner entities. Each of the participating practitioner entity outcome indices is raised to an exponent including a corresponding one of a plurality of unknown participating practitioner entity type indices, to obtain a plurality of equations. The plurality of equations arc solved to obtain estimated values of the unknown participating practitioner entity outcome indices and estimated values of the unknown participating practitioner entity type indices.Type: ApplicationFiled: December 6, 2011Publication date: June 6, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jianying Hu, Fei Wang, Robert K. Sorrentino, Shahram Ebadollahi
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Publication number: 20120209620Abstract: 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.Type: ApplicationFiled: February 16, 2011Publication date: August 16, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: SHAHRAM EBADOLLAHI, Jianying Hu, Robert K. Sorrentino, Fei Wang
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Publication number: 20120191640Abstract: Methods and systems for event pattern mining are shown that include representing longitudinal event data in a measurable geometric space as a temporal event matrix representation (TEMR) using spatial temporal shapes, wherein event data is organized into hierarchical categories of event type and performing temporal event pattern mining with a processor by locating visual event patterns among the spatial temporal shapes of said TEMR using a constraint sparse coding framework.Type: ApplicationFiled: January 21, 2011Publication date: July 26, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Shahram Ebadollahi, Jiaying Hu, Martin S. Kohn, Noah Lee, Robert K. Sorrentino, Jimeng Sun, Fei Wang
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Publication number: 20120109683Abstract: 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.Type: ApplicationFiled: October 27, 2010Publication date: May 3, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: SHAHRAM EBADOLLAHI, Jianying Hu, Martin S. Kohn, Jonathan D. Laserson, Hani Neuvirth-Telem, Lavi Shpigelman, Robert K. Sorrentino
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Publication number: 20120041277Abstract: 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.Type: ApplicationFiled: August 12, 2010Publication date: February 16, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: SHAHRAM EBADOLLAHI, Jianying Hu, Robert K. Sorrentino, Daby M. Sow, Jimeng Sun