no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
AMMU: A survey of transformer-based biomedical pretrained language models
|
Kalyan, Katikapalli Subramanyam |
|
|
126 |
C |
p. |
article |
2 |
An annotated corpus from biomedical articles to construct a drug-food interaction database
|
Kim, Siun |
|
|
126 |
C |
p. |
article |
3 |
A weakly supervised model for the automated detection of adverse events using clinical notes
|
Sanyal, Josh |
|
|
126 |
C |
p. |
article |
4 |
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization
|
Yuan, Zheng |
|
|
126 |
C |
p. |
article |
5 |
Cover 2: Editorial Board
|
|
|
|
126 |
C |
p. |
article |
6 |
Cover 1/Spine
|
|
|
|
126 |
C |
p. |
article |
7 |
COVID-19 and mental disorders in healthcare Personnel: A novel framework to develop Personas from an online survey
|
Tauro, Emanuele |
|
|
126 |
C |
p. |
article |
8 |
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
|
Xie, Feng |
|
|
126 |
C |
p. |
article |
9 |
Explainable process trace classification: An application to stroke
|
Leonardi, Giorgio |
|
|
126 |
C |
p. |
article |
10 |
Extracting experimental parameter entities from scientific articles
|
Farnsworth, Steele |
|
|
126 |
C |
p. |
article |
11 |
fmi-ii: Table of Contents
|
|
|
|
126 |
C |
p. |
article |
12 |
Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)
|
Xu, Weizhe |
|
|
126 |
C |
p. |
article |
13 |
High-quality gene/disease embedding in a multi-relational heterogeneous graph after a joint matrix/tensor decomposition
|
Zhou, Kaiyin |
|
|
126 |
C |
p. |
article |
14 |
Identifying cancer sub-types from genomic scale data sets using confidence based integration (CBI)
|
Sreekumar, R. |
|
|
126 |
C |
p. |
article |
15 |
Improving non-invasive hemoglobin measurement accuracy using nonparametric models
|
Man, Jianing |
|
|
126 |
C |
p. |
article |
16 |
Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models
|
Ben-Assuli, Ofir |
|
|
126 |
C |
p. |
article |