| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A compartment modeling approach to reconstruct and analyze gender and age-grouped CoViD-19 Italian data for decision-making strategies
|
Cartocci, Alessandra
|
|
|
118 |
C |
p.
|
artikel
|
| 2 |
A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data
|
Harerimana, Gaspard
|
|
|
118 |
C |
p.
|
artikel
|
| 3 |
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ
|
Aljaaf, Ahmed J.
|
|
|
118 |
C |
p.
|
artikel
|
| 4 |
An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19
|
Chen, Tiange
|
|
|
118 |
C |
p.
|
artikel
|
| 5 |
A predictive model of clinical deterioration among hospitalized COVID-19 patients by harnessing hospital course trajectories
|
Mauer, Elizabeth
|
|
|
118 |
C |
p.
|
artikel
|
| 6 |
A scalable approach for developing clinical risk prediction applications in different hospitals
|
Sun, Hong
|
|
|
118 |
C |
p.
|
artikel
|
| 7 |
A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-19
|
Das, Jayanta Kumar
|
|
|
118 |
C |
p.
|
artikel
|
| 8 |
Biomedical named entity recognition using BERT in the machine reading comprehension framework
|
Sun, Cong
|
|
|
118 |
C |
p.
|
artikel
|
| 9 |
Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials
|
Sun, Yingcheng
|
|
|
118 |
C |
p.
|
artikel
|
| 10 |
Comparative study of machine learning methods for COVID-19 transmission forecasting
|
Dairi, Abdelkader
|
|
|
118 |
C |
p.
|
artikel
|
| 11 |
Cover 2: Editorial Board
|
|
|
|
118 |
C |
p.
|
artikel
|
| 12 |
Cover 1/Spine
|
|
|
|
118 |
C |
p.
|
artikel
|
| 13 |
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data
|
Schenck, Edward J.
|
|
|
118 |
C |
p.
|
artikel
|
| 14 |
Differential metabolic network construction for personalized medicine: Study of type 2 diabetes mellitus patients' response to gliclazide-modified-release-treated
|
Huang, Xin
|
|
|
118 |
C |
p.
|
artikel
|
| 15 |
Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential
|
Al-Taie, Zainab
|
|
|
118 |
C |
p.
|
artikel
|
| 16 |
fmi-ii: Table of Contents
|
|
|
|
118 |
C |
p.
|
artikel
|
| 17 |
Genomic considerations for FHIR®; eMERGE implementation lessons
|
Murugan, Mullai
|
|
|
118 |
C |
p.
|
artikel
|
| 18 |
Impact of COVID-19 on the outreach strategy of cancer social service agencies in Singapore: A pre-post analysis with Facebook data
|
Ethan Tan, Kieran
|
|
|
118 |
C |
p.
|
artikel
|
| 19 |
Internet of Things in active cancer Treatment: A systematic review
|
Albino de Queiroz, Diogo
|
|
|
118 |
C |
p.
|
artikel
|
| 20 |
Model-based pathway enrichment analysis applied to the TGF-beta regulation of autophagy in autism
|
Somekh, Judith
|
|
|
118 |
C |
p.
|
artikel
|
| 21 |
NLM-Gene, a richly annotated gold standard dataset for gene entities that addresses ambiguity and multi-species gene recognition
|
Islamaj, Rezarta
|
|
|
118 |
C |
p.
|
artikel
|
| 22 |
Predicting Alzheimer’s Disease from Spoken and Written Language Using Fusion-Based Stacked Generalization
|
Alkenani, Ahmed H.
|
|
|
118 |
C |
p.
|
artikel
|
| 23 |
Predicting treatment recommendations in postmenopausal osteoporosis
|
Bonaccorsi, G.
|
|
|
118 |
C |
p.
|
artikel
|
| 24 |
Q-CHAT-NAO: A robotic approach to autism screening in toddlers
|
Romero-García, Rubén
|
|
|
118 |
C |
p.
|
artikel
|
| 25 |
Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be
|
Olex, Amy L.
|
|
|
118 |
C |
p.
|
artikel
|
| 26 |
Simulation-derived best practices for clustering clinical data
|
Coombes, Caitlin E.
|
|
|
118 |
C |
p.
|
artikel
|
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