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Unsupervised Discovery of Clinical Disease Signatures Using
  Probabilistic Independence

Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence

8 February 2024
Thomas A. Lasko
J. M. Still
Thomas Z. Li
Marco Barbero Mota
William W Stead
Eric V. Strobl
Bennett A. Landman
Fabien Maldonado
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Papers citing "Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence"

4 / 4 papers shown
Title
Sample-Specific Root Causal Inference with Latent Variables
Sample-Specific Root Causal Inference with Latent Variables
Eric V. Strobl
Thomas A. Lasko
CML
21
7
0
27 Oct 2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise
  Model
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model
Eric V. Strobl
Thomas A. Lasko
CML
53
32
0
25 May 2022
Multimodal data matters: language model pre-training over structured and
  unstructured electronic health records
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
Sicen Liu
Xiaolong Wang
Yongshuai Hou
Ge Li
Hui Wang
Huiqin Xu
Yang Xiang
Buzhou Tang
52
30
0
25 Jan 2022
Deep Representation Learning of Electronic Health Records to Unlock
  Patient Stratification at Scale
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi
B. Glicksberg
Hao-Chih Lee
S. Cherng
Giulia Landi
M. Danieletto
J. Dudley
Cesare Furlanello
Riccardo Miotto
27
147
0
14 Mar 2020
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