| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients
|
Ebrahimi Zade, Amir
|
|
|
115 |
C |
p.
|
artikel
|
| 2 |
A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-related genes through type-II fuzzy data fusion
|
Joodaki, Mehdi
|
|
|
115 |
C |
p.
|
artikel
|
| 3 |
A tongue features fusion approach to predicting prediabetes and diabetes with machine learning
|
Li, Jun
|
|
|
115 |
C |
p.
|
artikel
|
| 4 |
Bagged random causal networks for interventional queries on observational biomedical datasets
|
Prosperi, Mattia
|
|
|
115 |
C |
p.
|
artikel
|
| 5 |
Cover 2: Editorial Board
|
|
|
|
115 |
C |
p.
|
artikel
|
| 6 |
Cover 1/Spine
|
|
|
|
115 |
C |
p.
|
artikel
|
| 7 |
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
|
Si, Yuqi
|
|
|
115 |
C |
p.
|
artikel
|
| 8 |
Disease network delineates the disease progression profile of cardiovascular diseases
|
Tang, Zefang
|
|
|
115 |
C |
p.
|
artikel
|
| 9 |
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism
|
Fatehifar, Mohsen
|
|
|
115 |
C |
p.
|
artikel
|
| 10 |
Drug repurposing for COVID-19 via knowledge graph completion
|
Zhang, Rui
|
|
|
115 |
C |
p.
|
artikel
|
| 11 |
EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders – chronic kidney disease example
|
Ma, Xiaojun
|
|
|
115 |
C |
p.
|
artikel
|
| 12 |
Enhanced childhood diseases treatment using computational models: Systematic review of intelligent experiments heading to precision medicine
|
Rostam Niakan Kalhori, Sharareh
|
|
|
115 |
C |
p.
|
artikel
|
| 13 |
Epistemic responsibilities in the COVID-19 pandemic: Is a digital infosphere a friend or a foe?
|
Ćurković, Marko
|
|
|
115 |
C |
p.
|
artikel
|
| 14 |
Exploration of text matching methods in Chinese disease Q&A systems: A method using ensemble based on BERT and boosted tree models
|
Wu, Ziming
|
|
|
115 |
C |
p.
|
artikel
|
| 15 |
fmi-ii: Table of Contents
|
|
|
|
115 |
C |
p.
|
artikel
|
| 16 |
Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application
|
Chu, Jiebin
|
|
|
115 |
C |
p.
|
artikel
|
| 17 |
Making science computable: Developing code systems for statistics, study design, and risk of bias
|
Alper, Brian S.
|
|
|
115 |
C |
p.
|
artikel
|
| 18 |
Modified Needleman–Wunsch algorithm for clinical pathway clustering
|
Aspland, Emma
|
|
|
115 |
C |
p.
|
artikel
|
| 19 |
Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models
|
Pedrera-Jiménez, Miguel
|
|
|
115 |
C |
p.
|
artikel
|
| 20 |
Publishing artificial intelligence research papers: A tale of three journals
|
Shortliffe, Edward H.
|
|
|
115 |
C |
p.
|
artikel
|
| 21 |
Random forest swarm optimization-based for heart diseases diagnosis
|
Asadi, Shahrokh
|
|
|
115 |
C |
p.
|
artikel
|
| 22 |
Repurposing biomedical informaticians for COVID-19
|
Sosa, Daniel N.
|
|
|
115 |
C |
p.
|
artikel
|
| 23 |
Treatment selection for life-critical shared decision making under ranges of health-state utility scenarios
|
Triantaphyllou, Evangelos
|
|
|
115 |
C |
p.
|
artikel
|
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