| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
|
Nasimian, Ahmad
|
|
|
5 |
1 |
p.
|
article
|
| 2 |
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals
|
Pan, Weishen
|
|
|
5 |
1 |
p.
|
article
|
| 3 |
DSM: Deep sequential model for complete neuronal morphology representation and feature extraction
|
Xiong, Feng
|
|
|
5 |
1 |
p.
|
article
|
| 4 |
Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT
|
Yang, Jingye
|
|
|
5 |
1 |
p.
|
article
|
| 5 |
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets
|
Pezoulas, Vasileios C.
|
|
|
5 |
1 |
p.
|
article
|
| 6 |
Functional microRNA-targeting drug discovery by graph-based deep learning
|
Keshavarzi Arshadi, Arash
|
|
|
5 |
1 |
p.
|
article
|
| 7 |
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records
|
Wen, Jun
|
|
|
5 |
1 |
p.
|
article
|
| 8 |
Looking forward to the new year
|
Hufton, Andrew L.
|
|
|
5 |
1 |
p.
|
article
|
| 9 |
Meet the authors: Hanchuan Peng, Peng Xie, and Feng Xiong
|
Peng, Hanchuan
|
|
|
5 |
1 |
p.
|
article
|
| 10 |
Shifting your research from X to Mastodon? Here’s what you need to know
|
Roscam Abbing, Roel
|
|
|
5 |
1 |
p.
|
article
|
| 11 |
Unified fair federated learning for digital healthcare
|
Zhang, Fengda
|
|
|
5 |
1 |
p.
|
article
|
Journal description