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updated the image references in README to reference the ones on github #48

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Sep 6, 2024
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updated the image references in README to reference the ones on github #48

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231b970
updated the image references in README to reference the ones on github
ChaoPang Sep 6, 2024
ca16e92
updated pyproject.toml to include additional authors
ChaoPang Sep 6, 2024
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4 changes: 2 additions & 2 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ days and 365 days, ATTs are in the form of **$M_n$** where n represents the mont
concepts
associated with the visit are subsumed by **VS** and **VE**.

!["patient_representation"](images/tokenization_att_generation.png)
!["patient_representation"](https://raw.githubusercontent.com/cumc-dbmi/cehr-bert/main/images/tokenization_att_generation.png)

## Model Architecture

Expand All @@ -36,7 +36,7 @@ connected layer. This temporal concept embedding becomes the input to BERT. We u
Language Model as the primary learning objective and introduced an EHR specific secondary learning objective visit type
prediction.

!["cehr-bert architecture diagram"](images/cehr_bert_architecture.png)
!["cehr-bert architecture diagram"](https://raw.githubusercontent.com/cumc-dbmi/cehr-bert/main/images/cehr_bert_architecture.png)

## Pre-requisite

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4 changes: 3 additions & 1 deletion pyproject.toml
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Expand Up @@ -8,7 +8,9 @@ dynamic = ["version"]
authors = [
{ name = "Chao Pang", email = "[email protected]" },
{ name = "Xinzhuo Jiang", email = "[email protected]" },
{ name = "Krishna Kalluri", email = "[email protected]" }
{ name = "Krishna Kalluri", email = "[email protected]" },
{ name = "Nishanth Parameshwar Pavinkurve", email = "[email protected]" },
{ name = "Karthik Natarajan", email = "[email protected]" }
]
description = "CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks"
readme = "README.md"
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