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Obesity Prediction with EHR Data: A deep learning approach with
  interpretable elements

Obesity Prediction with EHR Data: A deep learning approach with interpretable elements

5 December 2019
Mehak Gupta
T. Phan
Timothy Bunnell
Rahmatollah Beheshti
ArXivPDFHTML

Papers citing "Obesity Prediction with EHR Data: A deep learning approach with interpretable elements"

5 / 5 papers shown
Title
Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
Hamed Fayyaz
Raphael Poulain
Rahmatollah Beheshti
34
1
0
18 Oct 2024
Comparison of Missing Data Imputation Methods using the Framingham Heart
  study dataset
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset
Konstantinos Psychogyios
Loukas Ilias
D. Askounis
8
9
0
06 Oct 2022
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
27
32
0
14 Mar 2022
Identifying the Leading Factors of Significant Weight Gains Using a New
  Rule Discovery Method
Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method
Mina Samizadeh
J. Jones-Smith
B. Sheridan
Rahmatollah Beheshti
CML
11
0
0
04 Nov 2021
MOFit: A Framework to reduce Obesity using Machine learning and IoT
MOFit: A Framework to reduce Obesity using Machine learning and IoT
Satvik Garg
Pradyumn Pundir
11
5
0
19 Aug 2021
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