ROBERT KEITH SORRENTINO, M.D.
Marriage and Family Therapists at Michelson Dr, Irvine, CA

2012010, May 3, 2012

Oct 27, 2010

12/913042

SHAHRAM EBADOLLAHI - White Plains NY, US
Jianying Hu - Bronx NY, US
Martin S. Kohn - East Hills NY, US
Jonathan D. Laserson - Menlo Park CA, US
Hani Neuvirth-Telem - Tel Aviv, IS
Lavi Shpigelman - Jerusalem, IS
Robert K. Sorrentino - Rancho Palos Verdes CA, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY

G06Q 50/00

705 3

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.

8620690, Dec 31, 2013

Dec 6, 2011

13/312685

Jianying Hu - Bronx NY, US
Fei Wang - Ossining NY, US
Robert K. Sorrentino - Rancho Palos Verdes CA, US
Shahram Ebadollahi - White Plains NY, US

International Business Machines Corporation - Armonk NY

G06Q 50/00, G06Q 50/22

705 3, 705 739, 705 741, 705 742

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.

2012020, Aug 16, 2012

Feb 16, 2011

13/028753

SHAHRAM EBADOLLAHI - White Plains NY, US
Jianying Hu - Bronx NY, US
Robert K. Sorrentino - Rancho Palos Verdes CA, US
Fei Wang - Ossining NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06Q 50/00

705 2

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.

2012004, Feb 16, 2012

Aug 12, 2010

12/855068

SHAHRAM EBADOLLAHI - Tarrytown NY, US
Jianying Hu - Bronx NY, US
Robert K. Sorrentino - Rancho Palos Verdes CA, US
Daby M. Sow - Croton On Hudson NY, US
Jimeng Sun - White Plains NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

A61B 5/00

600301

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.

2012004, Feb 16, 2012

Aug 12, 2010

12/855060

Shahram Ebadollahi - TARRYTOWN NY, US
Jianying Hu - BRONX NY, US
Robert K. Sorrentino - RANCHO PALOS VERDES CA, US
Daby M. Sow - CROTON ON HUDSON NY, US
Jimeng Sun - WHITE PLAINS NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY

G06Q 50/00

705 2

A system and method for predicting patient prognosis includes a similarity module configured in program storage media to provide a similarity function for a data source and compute similarity scores for pairs of patients. An alignment module is configured to align a query patient to a best anchor timestamp of a similar patient or patients so that a comparison between the query patient and at least one similar patient is provided. A prediction module is configured to predict a long-term outcome measure of the query patient based on data from the at least one similar patient.

8583586, Nov 12, 2013

Jan 21, 2011

13/011632

Shahram Ebadollahi - White Plains NY, US
Jianying Hu - Bronx NY, US
Martin S. Kohn - East Hills NY, US
Noah Lee - New York NY, US
Robert K. Sorrentino - Rancho Palos Verdes CA, US
Jimeng Sun - White Plains NY, US
Fei Wang - San Jose CA, US

International Business Machines Corporation - Armonk NY

G06N 5/02

706 53, 706 20

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.