Jacob R Marcus

US Patent:

20190034589, Jan 31, 2019

Filed:

Aug 30, 2017

Appl. No.:

15/690703

Inventors:

- Mountain View CA, US
Patrik Sundberg - San Francisco CA, US
Alexander Mossin - San Jose CA, US
Nissan Hajaj - Redwood City CA, US
Kurt Litsch - Mountain View CA, US
James Wexler - Mountain View CA, US
Yi Zhang - Sunnyvale CA, US
Kun Zhang - Mountain View CA, US
Jacob Marcus - Mountain View CA, US
Eyal Oren - Los Gatos CA, US
Hector Yee - Mountain View CA, US
Jeffrey Dean - Palo Alto CA, US
Michaela Hardt - Mountain View CA, US
Benjamin Irvine - Mountain View CA, US
James Wilson - Littleton MA, US
Andrew Dai - San Francisco CA, US
Peter Liu - Santa Clara CA, US
Xiaomi Sun - San Mateo CA, US
Quoc Le - Mountain View CA, US
Xiaobing Liu - Mountain View CA, US
Alvin Rajkomar - Mountain View CA, US
Gregory Corrado - San Francisco CA, US
Gerardo Flores - Mountain View CA, US
Yingwei Cui - Palo Alto CA, US
Gavin Duggan - Mountain View CA, US

International Classification:

G06F 19/00
G06N 3/08
G06N 3/04

Abstract:

A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

US Patent:

20190034591, Jan 31, 2019

Filed:

Aug 30, 2017

Appl. No.:

15/690721

Inventors:

- Mountain View CA, US
Alvin Rajkomar - Mountain View CA, US
Eyal Oren - Los Gatos CA, US
James Wilson - Littleton MA, US
James Wexler - Mountain View CA, US
Patrik Sundberg - San Francisco CA, US
Andrew Dai - San Francisco CA, US
Yingwei Cui - Palo Alto CA, US
Gregory Corrado - San Francisco CA, US
Hector Yee - Mountain View CA, US
Jacob Marcus - Mountain View CA, US
Jeffrey Dean - Palo Alto CA, US
Benjamin Irvine - Mountain View CA, US
Kai Chen - San Bruno CA, US
Kun Zhang - Mountain View CA, US
Michaela Hardt - Mountain View CA, US
Xiaomi Sun - San Mateo CA, US
Nissan Hajaj - Redwood City CA, US
Peter Liu - Santa Clara CA, US
Quoc Le - Mountain View CA, US
Xiaobing Liu - Mountain View CA, US
Yi Zhang - Sunnyvale CA, US

International Classification:

G06F 19/00
G06N 3/08
G06N 3/04

Abstract:

A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.