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Jack Z He, 33Palisades Park, NJ

Jack He Phones & Addresses

Palisades Park, NJ   

Fort Lee, NJ   

1 River St, Jersey City, NJ 07310    201-7955212   

Williamsport, PA   

Work

Company: Technology learning center Aug 2008 Position: Technician

Education

School / High School: New York City College of Technology- Brooklyn, NY 2013 Specialities: Computer Information Systems

Mentions for Jack Z He

Jack He resumes & CV records

Resumes

Jack He Photo 27

Jack Garder He

Jack He Photo 28

Jack He

Jack He Photo 29

Jack He

Jack He Photo 30

Jack He

Jack He Photo 31

Jack He

Jack He Photo 32

Jack He

Location:
United States
Jack He Photo 33

Jack He

Location:
United States
Jack He Photo 34

Jack He

Location:
Flushing, New York
Industry:
Computer Software
Work:
Technology Learning Center - 300 Jay Street • Brooklyn, NY 11201 2008 - 2008
Technician
Education:
CUNY New York City College of Technology 2007 - 2012

Publications & IP owners

Us Patents

Clinical Case Search And Generation System And Method Based On A Probabilistic Encoder-Generator Framework

US Patent:
2020016, May 21, 2020
Filed:
Nov 11, 2019
Appl. No.:
16/679842
Inventors:
- Eindhoven, NL
Bryan Conroy - Garden City South NY, US
Jack He - Cambridge MA, US
Jonathan Rubin - Cambridge MA, US
International Classification:
G06N 7/00
G06N 3/08
G06N 3/04
G06N 20/20
G06F 17/18
G06F 17/16
Abstract:
A method for training a probabilistic encoder-decoder having a latent space, the method including: extracting different types of medical data for a group of individuals; creating a data matrix X including the extracted medical data, wherein each row of the data matrix X includes data for one of the group of individuals; creating condition matrix C including features to define a clinical condition, wherein each row of the condition matrix C includes the condition data for one of the group of individuals; and training the encoder and the decoder to learn the latent space by minimizing the reconstruction loss and using a regularization effect to force clinically similar inputs to be close together in the latent space.

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