Flatiron Health, Inc.

Neal Meropol

Lauren Sutton

Joshua Daniel Haimson

Jessie Tseng

Geetu Ambwani

Yihua Zhao

Shrujal Baxi

Maneet Kaur

Daniel Backenroth

Adam Gottesman

Alex Deyle

Chengsheng Jiang

Filip Frahm

Forrest Xiao

Mahesh Murali

Trevor Royce

Andrej Rosic

Barry Leybovich

Described herein is a graphical intervention test development system. The graphical intervention test development system provides a graphical intervention test development environment that facilitates computer-based design of an intervention test. The graphical intervention test development environment provides a graphical user interface (GUI) and visualizations of various aspects of an intervention test therein. The graphical intervention test development environment further provides a control interface through which a user can manipulate control parameters that affect outcomes of the intervention test.

Graphical intervention test development system

A model-assisted system for predicting survivability of a patient may include at least one processor. The processor may be programmed to access a database storing a medical record for the patient. The medical record may include at least one of structured and unstructured information relative to the patient and may lack a structured patient ECOG score. The processor may be further programmed to analyze at least one of the structured and unstructured information relative to the patient; based on the analysis, and in the absence of a structured ECOG score, generate a performance status prediction for the patient; and provide an output indicative of the predicted performance status. The analysis of at least one of the structured and unstructured information and the generation of the predicted performance status may be performed by at least one of a trained machine learning model or a natural language processing algorithm.

Prognostic score based on health information

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Brooklyn, NY, United States of America

Neal Meropol