Peter Alexander Larson

US Patent:

20200372979, Nov 26, 2020

Filed:

May 22, 2020

Appl. No.:

16/881317

Inventors:

- New York NY, US
Angel Leung - Brooklyn NY, US
Caroline Nightingale - Brooklyn NY, US
Zexi Chen - Forest Hills NY, US
Janet Donegan - Park City UT, US
Peter Larson - New York NY, US
Lauren Sutton - New York NY, US

Assignee:

Flatiron Health, Inc. - New York NY

International Classification:

G16H 10/20
G16H 10/60
G16H 50/20

Abstract:

A computer-implemented system for determining trials using a metastatic condition of a patient may include at least one processor programmed to receive a selection of a patient; access, in response to the selection of the patient, a patient dataset associated with the patient; receive a predicted metastatic condition associated with the patient; cause display of at least a first portion of the patient dataset and the predicted metastatic condition; determine, based on at least a second portion of the patient dataset or the predicted metastatic condition, a subset of trials for the patient, wherein the subset of trials for the patient is determined from a plurality of trials; and cause display of at least the subset of the trials for the patient.

US Patent:

20200058382, Feb 20, 2020

Filed:

Oct 5, 2018

Appl. No.:

16/153678

Inventors:

- New York NY, US
Joshua Daniel Haimson - Brooklyn NY, US
Lucy Dao-Ke He - New York NY, US
Melissa Hedberg - New York NY, US
Nathan Coleman Nussbaum - South Orange NJ, US
Paul Stephen Richardson - Brooklyn NY, US
Evan Eino Estola - Brooklyn NY, US
Peter Daniel Larson - Brooklyn NY, US

Assignee:

Flatiron Health, Inc. - New York NY

International Classification:

G16H 10/60
G06N 99/00

Abstract:

Systems and methods are disclosed for monitoring models for bias. In one implementation, a system for automatically assessing a deployed model for selection of a cohort may include a processing device programmed to: apply the deployed model to data representing a first plurality of individuals, the data including at least one characteristic of the first plurality of individuals; based on the application, select a subset of the first plurality of individuals as a cohort; receive data representing a second plurality of individuals labeled as within the cohort, the data including the at least one characteristic of the second plurality of individuals; compare the selected subset and the second plurality of individuals along the at least one characteristic; and determine whether the comparison results in a difference between the selected subset and the second plurality of individuals greater than a threshold.

US Patent:

20200058383, Feb 20, 2020

Filed:

May 6, 2019

Appl. No.:

16/403902

Inventors:

- New York NY, US
Joshua Daniel Haimson - Brooklyn NY, US
Lucy Dao-Ke He - New York NY, US
Melissa Hedberg - New York NY, US
Nathan Coleman Nussbaum - New York NY, US
Paul Stephen Richardson - Brooklyn NY, US
Evan Eino Estola - Brooklyn NY, US
Peter Daniel Larson - Brooklyn NY, US

Assignee:

Flatiron Health, Inc. - New York NY

International Classification:

G16H 10/60
G06N 20/00

Abstract:

Systems and methods are disclosed for monitoring models for bias. In one implementation, a system for automatically assessing a deployed model for selection of a cohort may include a processing device programmed to: apply the deployed model to data representing a first plurality of individuals, the data including at least one characteristic of the first plurality of individuals; based on the application, select a subset of the first plurality of individuals as a cohort; receive data representing a second plurality of individuals labeled as within the cohort, the data including the at least one characteristic of the second plurality of individuals; compare the selected subset and the second plurality of individuals along the at least one characteristic; and determine whether the comparison results in a difference between the selected subset and the second plurality of individuals greater than a threshold.