| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images
|
Najaran, Mohammad Hassan Tayarani
|
|
|
142 |
C |
p.
|
article
|
| 2 |
A robust protein language model for SARS-CoV-2 protein–protein interaction network prediction
|
Ozger, Zeynep Banu
|
|
|
142 |
C |
p.
|
article
|
| 3 |
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
|
Tavazzi, Erica
|
|
|
142 |
C |
p.
|
article
|
| 4 |
Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis
|
Xing, Wenmin
|
|
|
142 |
C |
p.
|
article
|
| 5 |
A unified framework of medical information annotation and extraction for Chinese clinical text
|
Zhu, Enwei
|
|
|
142 |
C |
p.
|
article
|
| 6 |
Editorial Board
|
|
|
|
142 |
C |
p.
|
article
|
| 7 |
FooDis: A food-disease relation mining pipeline
|
Cenikj, Gjorgjina
|
|
|
142 |
C |
p.
|
article
|
| 8 |
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
|
Liu, Mingxuan
|
|
|
142 |
C |
p.
|
article
|
| 9 |
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography
|
Shan, Hongming
|
|
|
142 |
C |
p.
|
article
|
| 10 |
Prediction meets time series with gaps: User clusters with specific usage behavior patterns
|
Schleicher, Miro
|
|
|
142 |
C |
p.
|
article
|
| 11 |
Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment
|
Park, JaeYeon
|
|
|
142 |
C |
p.
|
article
|
Journal description