Flatiron Health, Inc.

Nathan Coleman Nussbaum

Benjamin Edward Birnbaum

Joshua Daniel Haimson

Lucy Dao-Ke He

Katharina Nicola Seidl-Rathkopf

Paul Stephen Richardson

Peter Daniel Larson

Melisa Tucker

Evan Eino Estola

Monica Nayan Agrawal

Melissa Hedberg

Dennis Lee

Gil Shklarski

Joseph Delgado

Dominique Connolly

Shannon Lee

Jeremy Kohansimeh

Elijah Meerson

Catherine Miller

Dina Levy-Lambert

Joseph DiLallo

Joseph Mou

Cynthia Revol

James Dura

Maayan Roth

Nathaniel Turner

Daniel Eisenberg

Zachary Weinberg

Lauren Ellsworth

Paul You

Amy Abernethy

Ross Feinstein

Jeremy Feinstein

Geoffrey Calkins

Caitlin Keenan

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.

Systems and methods for automatic bias monitoring of cohort models and un-deployment of biased models

Systems and methods are disclosed for selecting cohorts. In one implementation, a model-assisted selection system for identifying candidates for placement into a cohort includes a data interface and at least one processing device. The at least one processing device is programmed to access, via the data interface, a database from which feature vectors associated with an individual from among a population of individuals can be derived; derive, for the individual, one or more feature vectors from the database; provide the one or more feature vectors to a model; receive an output from the model; and determine whether the individual from among the population of individuals is a candidate for the cohort based on the output received from the model.

Systems and methods for model-assisted cohort selection

Systems and methods are disclosed for visualizing medical data. In one implementation, the systems each comprise a database, a memory that stores a set of instructions and at least one processor in communication with the memory configured to execute the set of instructions so the system may receive the medical data in one or more formats from a plurality of sources, the medical data comprising a plurality of events associated with one or more patients, convert the medical data from the one or more formats to a standardized data format, store the standardized data in the database, receive a query comprising at least one patient characteristic, query the database to identify a patient associated with the at least one patient characteristic, generate a graphical user interface to include the standardized data represented as a timeline of events associated with the identified patient and display the generated graphical user interface.

Systems and methods for visualizing data

Methods, systems, and apparatus, including computer programs encoded on computer storage media, to present a video. One of the methods includes obtaining one or more unstructured documents. The method includes obtaining, by a computer system, a data model, the data model identifying a type of fact that can be determined from the one or more unstructured documents. The method includes determining, by the computer system, a channel to extract facts from the document based on the type of fact. The method includes distributing, by the computer system, the one or more unstructured documents to the channel. The method includes extracting, by the channel, facts from the one or more unstructured documents. The method also includes storing the facts in a data model.

Extracting facts from unstructured data

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South Orange, NJ, United States of America

Nathan Coleman Nussbaum