| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparison of word embeddings for the biomedical natural language processing
|
Wang, Yanshan
|
|
2018
|
87 |
C |
p. 12-20
|
artikel
|
| 2 |
An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets
|
Fu, Jing
|
|
2018
|
87 |
C |
p. 131-137
|
artikel
|
| 3 |
A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatch
|
Lu, Tsung-Chien
|
|
2018
|
87 |
C |
p. 60-65
|
artikel
|
| 4 |
Association networks in a matched case-control design – Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls
|
Kim, Min-hyung
|
|
2018
|
87 |
C |
p. 88-95
|
artikel
|
| 5 |
Call for papers: Deep phenotyping for Precision Medicine
|
Weng, Chunhua
|
|
2018
|
87 |
C |
p. 66-67
|
artikel
|
| 6 |
Cover 2: Editorial Board
|
|
|
2018
|
87 |
C |
p. IFC
|
artikel
|
| 7 |
Cover 1/Spine
|
|
|
2018
|
87 |
C |
p. OFC
|
artikel
|
| 8 |
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review
|
Qi, Jun
|
|
2018
|
87 |
C |
p. 138-153
|
artikel
|
| 9 |
Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services
|
Zhang, Zhan
|
|
2018
|
87 |
C |
p. 21-36
|
artikel
|
| 10 |
fmi-ii: Table of Contents
|
|
|
2018
|
87 |
C |
p. i-ii
|
artikel
|
| 11 |
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power
|
Graudenzi, Alex
|
|
2018
|
87 |
C |
p. 37-49
|
artikel
|
| 12 |
PISTON: Predicting drug indications and side effects using topic modeling and natural language processing
|
Jang, Giup
|
|
2018
|
87 |
C |
p. 96-107
|
artikel
|
| 13 |
Predicting of anaphylaxis in big data EMR by exploring machine learning approaches
|
Segura-Bedmar, Isabel
|
|
2018
|
87 |
C |
p. 50-59
|
artikel
|
| 14 |
relSCAN – A system for extracting chemical-induced disease relation from biomedical literature
|
Onye, Stanley Chika
|
|
2018
|
87 |
C |
p. 79-87
|
artikel
|
| 15 |
Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter
|
Klein, Ari Z.
|
|
2018
|
87 |
C |
p. 68-78
|
artikel
|
| 16 |
Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change
|
Cardoso, Silvio Domingos
|
|
2018
|
87 |
C |
p. 1-11
|
artikel
|
| 17 |
The Internet of Things (IoT): Informatics methods for IoT-enabled health care
|
Yang, Po
|
|
2018
|
87 |
C |
p. 154-156
|
artikel
|
| 18 |
Using neural attention networks to detect adverse medical events from electronic health records
|
Chu, Jiebin
|
|
2018
|
87 |
C |
p. 118-130
|
artikel
|
| 19 |
Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records
|
Chen, Li
|
|
2018
|
87 |
C |
p. 108-117
|
artikel
|
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