Adam N Perer

US Patent:

20060271883, Nov 30, 2006

Filed:

May 24, 2005

Appl. No.:

11/136255

Inventors:

Eric Bier - Palo Alto CA, US
Adam Perer - College Park MD, US

International Classification:

G06F 17/00
G06F 17/30
G06F 3/00

US Classification:

715853000, 707006000, 715764000

Abstract:

Techniques are presented for determining a first set of display elements, each display element associated with a first display characteristic. An interesting element in the first set of display elements is determined. A second set of elements related to the interesting element is determined. A third set of elements based on the first and second set of elements is determined using intersection, union, subtraction addition and other logical operations. A third set of elements not yet added to the element collection is determined. The elements in the third set are associated with a second or ghosted display characteristic. The elements in the third set are inserted within the sorted context of the visualization based on spatial distortion rules which help to preserve spatial memory cues in the visualization of the element collection. The elements may be documents in an information repository, linked contact information, linked information records in a database or other types of information.

US Patent:

20210100454, Apr 8, 2021

Filed:

Oct 7, 2020

Appl. No.:

17/064708

Inventors:

- Westlake OH, US
Matt REAM - Naperville IL, US
Frank FEDDRIX - Westlake OH, US
Ruth PHILLIPS - Collegeville OH, US
Adam PERER - Pittsburgh PA, US
Sashi KOLLI - Virginia Beach VA, US

International Classification:

A61B 5/01
A61B 5/00
G06N 3/08

Abstract:

Continuous temperature monitors can be used to collect frequent temperature data over large periods of time. A machine learning system trained with collected temperature data can be used to predict future temperature data for patients. Such predictions can be clinically beneficial for disease states in which fever can be fatal, particularly for those fevers having fast onset. For example, patients undergoing chimeric antigen receptor T-cell (CAR-T) therapy may suffer fevers caused by cytokine release syndrome (CRS). Accordingly, a continuous temperature monitor is used to collect temperature data from CAR-T patients with high risk of CRS (or like patients with high fever risk), and the collected temperature data processed by a machine learning system to predict the patient's future temperature profiles. Results of analysis of the predicted temperature profiles may then be provided to the patient and/or clinician.

US Patent:

20200184691, Jun 11, 2020

Filed:

Dec 10, 2018

Appl. No.:

16/214160

Inventors:

- Armonk NY, US
Swap Chhabra - Arlington Heights IL, US
Joern Jaskolowsky - Copenhagen, DK
Adam Perer - Pittsburgh PA, US
Avi Yaeli - Ramot Menashe, IL

International Classification:

G06T 11/20
G06F 16/901

Abstract:

A pathway for each entity in a cohort may be extracted from raw data comprising a plurality of events. A common graph structure may be created based the extracted pathways. For each cohort, a relative signature trait may be computed for each edge based on a number of appearances of the edge in the extracted pathways that are associated with the cohort. A relationship expression may be obtained. The relationship expression may be with respect to at least two cohorts for which relative signature traits were computed. The common graph structure may be processed based on the relationship expression to determine an output label for each edge. A visualization of the common graph structure may be displayed.

US Patent:

20190272654, Sep 5, 2019

Filed:

Mar 2, 2018

Appl. No.:

15/910379

Inventors:

- Armonk NY, US
Peter Bak - Yokneam Ilit, IL
Adam Perer - Pittsburgh PA, US
Shay Segal - Nesher, IL

International Classification:

G06T 11/20
G06F 17/30
G06F 9/451
G06F 3/0484

Abstract:

There is provided a method of creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining comprising: receiving via a graphical user interface (GUI), manual selections including: knowledge-driven variable(s) denoting clinically significant values representing elements of a clinical decision making process, and an anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG), computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the manual selections, and aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the nodes, each link denoting an automatically discovered sequence between two respective nodes, and presenting the cohort clinical pathway DAG within the GUI.

US Patent:

20170344710, Nov 30, 2017

Filed:

May 31, 2016

Appl. No.:

15/168437

Inventors:

- Armonk NY, US
Kenney Ng - Arlington MA, US
Adam Perer - Pittsburgh PA, US
Fei Wang - Ossining NY, US
Yajuan Wang - White Plains NY, US

International Classification:

G06F 19/00

Abstract:

Aspects of the present invention include a method, system and computer program product. The method includes identifying, by a processor, a set of global risk factors for a target event using training patients, and providing, by the processor, a disease progression timeline with defined time stamps by aligning longitudinal data of the training patients based on the defined time stamp of risk targets. The method also includes positioning, by the processor, a target patient at one of the defined time stamps on the disease progression timeline, and identifying, by the processor, at least one of the training patients similar to the target patient with the same one of the defined time stamps on the disease progression timeline. The method further includes calculating, by the processor, a time-varying predictive pattern of at least a portion of the global set of risk factors for the target patient along the disease progression timeline.

US Patent:

20170323063, Nov 9, 2017

Filed:

Jun 3, 2016

Appl. No.:

15/172512

Inventors:

- Armonk NY, US
Kenney Ng - Arlington MA, US
Adam Perer - Pittsburgh PA, US

International Classification:

G06F 19/00
G06N 99/00

Abstract:

Embodiments are directed to methodologies, systems and computer program products for generating, for each of a plurality of risk factors in a patient database containing information of a plurality of patients, an index of input values for the risk factor. For each patient P of the plurality of patients, a series of local impact scores is computed for the patient. Computing the series of local impact scores for the patient includes calculating a risk score for the patient with respect to each of the indexed input values for each of the plurality of risk factors. For at least one of the plurality of patients, at least some of the plurality of risk factors are ranked based at least partly on the computed local impact scores for each of the at least some risk factors, and an indication of the ranked risk factors for the at least one patient is provided.

US Patent:

20170323075, Nov 9, 2017

Filed:

May 3, 2016

Appl. No.:

15/144948

Inventors:

- Armonk NY, US
Kenney Ng - Arlington MA, US
Adam Perer - Pittsburgh PA, US

International Classification:

G06F 19/00
G06F 19/00
G06F 19/00

Abstract:

Embodiments are directed to methodologies, systems and computer program products for generating, for each of a plurality of risk factors in a patient database containing information of a plurality of patients, an index of input values for the risk factor. For each patient P of the plurality of patients, a series of local impact scores is computed for the patient. Computing the series of local impact scores for the patient includes calculating a risk score for the patient with respect to each of the indexed input values for each of the plurality of risk factors. For at least one of the plurality of patients, at least some of the plurality of risk factors are ranked based at least partly on the computed local impact scores for each of the at least some risk factors, and an indication of the ranked risk factors for the at least one patient is provided.

US Patent:

20150106021, Apr 16, 2015

Filed:

Oct 11, 2013

Appl. No.:

14/051921

Inventors:

- Armonk NY, US
Adam Perer - Long Island City NY, US
Fei Wang - Ossining NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 19/00

US Classification:

702 19

Abstract:

Methods, systems, and articles of manufacture for exemplary visual analytics are provided herein. Visual analytics techniques are provided that combine pattern mining and temporal event visualization-based techniques. Visual episode query tools allow interactive specification of episode definitions and are combined with on-demand data analytics that perform pattern mining to help discover important intermediate events within an episode, and dynamic information visualization that allow interactive exploration and analysis of clinical event sequence data. The disclosed interactive visualization techniques identify events that impact outcome and how those associations change over time.