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ORCIDJournal of Biomedical Informatics, Volume 87
Volume 87, November 2018
- Silvio Domingos Cardoso, Cédric Pruski
, Marcos Da Silveira:
Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change. 1-11 - Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul R. Kingsbury, Hongfang Liu:
A comparison of word embeddings for the biomedical natural language processing. 12-20 - Zhan Zhang, Ze Hu, Haiqin Yang, Rong Zhu, Decheng Zuo:
Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services. 21-36 - Alex Graudenzi, Davide Maspero, Marzia Di Filippo, Marco Gnugnoli, Claudio Isella, Giancarlo Mauri, Enzo Medico, Marco Antoniotti, Chiara Damiani:
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. 37-49 - Isabel Segura-Bedmar, Cristóbal Colón-Ruiz, Miguél Ángel Tejedor-Alonso, Mar Moro-Moro:
Predicting of anaphylaxis in big data EMR by exploring machine learning approaches. 50-59 - Tsung-Chien Lu, Yi Chen, Te-Wei Ho, Yao-Ting Chang, Yi-Ting Lee, Yu-Siang Wang, Yen-Pin Chen, Chia-Ming Fu, Wen-Chu Chiang, Matthew Huei-Ming Ma, Cheng-Chung Fang, Feipei Lai, Anne M. Turner:
A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatch. 60-65 - Chunhua Weng, Nigam Shah, George Hripcsak:
Call for papers: Deep phenotyping for Precision Medicine. 66-67 - Ari Z. Klein, Abeed Sarker, Haitao Cai, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter. 68-78 - Stanley Chika Onye, Arif A. Akkeles, Nazife Dimililer:
relSCAN - A system for extracting chemical-induced disease relation from biomedical literature. 79-87 - Min-hyung Kim, Samprit Banerjee, Yize Zhao, Fei Wang, Yiye Zhang, Yongjun Zhu, Joseph DeFerio, Lauren Evans, Sang Min Park, Jyotishman Pathak:
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. 88-95 - Giup Jang, Taekeon Lee, Soyoun Hwang, Chihyun Park, Jaegyoon Ahn, Sukyung Seo, Youhyeon Hwang, Youngmi Yoon:
PISTON: Predicting drug indications and side effects using topic modeling and natural language processing. 96-107 - Li Chen, Yuanju Li, Weipeng Chen, Xinglong Liu, Zhonghua Yu, Siyuan Zhang:
Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records. 108-117 - Jiebin Chu, Wei Dong, Kunlun He, Huilong Duan, Zhengxing Huang:
Using neural attention networks to detect adverse medical events from electronic health records. 118-130 - Jing Fu, Jun Ye, Wenhua Cui:
An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets. 131-137
- Jun Qi, Po Yang, Atif Waraich, Zhikun Deng, Youbing Zhao, Yun Yang:
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review. 138-153 - Po Yang, Lida Xu:
The Internet of Things (IoT): Informatics methods for IoT-enabled health care. 154-156
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