| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adversarial training based lattice LSTM for Chinese clinical named entity recognition
|
Zhao, Shan
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 2 |
An empirical study on prediction of population health through social media
|
Nguyen, Hung
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 3 |
Associative attention networks for temporal relation extraction from electronic health records
|
Zhao, Shiyi
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 4 |
A two-stage deep learning approach for extracting entities and relationships from medical texts
|
Suárez-Paniagua, Víctor
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 5 |
Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients
|
Malmasi, Shervin
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 6 |
Cover 2: Editorial Board
|
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 7 |
Cover 1/Spine
|
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 8 |
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries
|
Hong, Na
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 9 |
Extracting drug–drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network
|
Zhao, Di
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 10 |
fmiii: Copyright/ID Statement
|
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 11 |
fmi-ii: Table of Contents
|
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 12 |
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network
|
Shang, Ning
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 13 |
Neural network-based approaches for biomedical relation classification: A review
|
Zhang, Yijia
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 14 |
PARS, a system combining semantic technologies with multiple criteria decision aiding for supporting antibiotic prescriptions
|
Ben Souissi, Souhir
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 15 |
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
|
Huang, Li
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 16 |
RedMed: Extending drug lexicons for social media applications
|
Lavertu, Adam
|
|
2019
|
99 |
C |
p.
|
artikel
|
| 17 |
Wikidata: A large-scale collaborative ontological medical database
|
Turki, Houcemeddine
|
|
2019
|
99 |
C |
p.
|
artikel
|
Tijdschrift beschrijving