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  1. In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, there...

    Authors: Zhiwei Chen, Zhe He, Xiuwen Liu and Jiang Bian

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):65

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:73

  2. Healthcare services, particularly in patient-provider interaction, often involve highly emotional situations, and it is important for physicians to understand and respond to their patients’ emotions to best en...

    Authors: Rebecca Lin, Muhammad “Tuan” Amith, Chen Liang, Rui Duan, Yong Chen and Cui Tao

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):64

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  3. Extracting relationships between chemicals and diseases from unstructured literature have attracted plenty of attention since the relationships are very useful for a large number of biomedical applications suc...

    Authors: Haodi Li, Ming Yang, Qingcai Chen, Buzhou Tang, Xiaolong Wang and Jun Yan

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):60

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  4. Association Rule Mining (ARM) has been widely used by biomedical researchers to perform exploratory data analysis and uncover potential relationships among variables in biomedical datasets. However, when biome...

    Authors: Rashmie Abeysinghe and Licong Cui

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):58

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  5. Acute lymphoblastic leukemia is the most prevalent neoplasia among children. Despite the tremendous achievements of state-of-the-art treatment strategies, drug resistance is still a major cause of chemotherapy...

    Authors: Huiqin Chen, Dihua Zhang, Guoping Zhang, Xiaofeng Li, Ying Liang, Mohan Vamsi Kasukurthi, Shengyu Li, Glen M. Borchert and Jingshan Huang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):57

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  6. There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesit...

    Authors: Juan Antonio Lossio-Ventura, William Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang and Jiang Bian

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):55

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  7. Despite widespread use, the safety of dietary supplements is open to doubt due to the fact that they can interact with prescribed medications, leading to dangerous clinical outcomes. Electronic health records ...

    Authors: Yadan Fan and Rui Zhang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):51

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  8. Most of the current work on clinical temporal relation identification follows the convention developed in the general domain, aiming to identify a comprehensive set of temporal relations from a document includ...

    Authors: Hee-Jin Lee, Yaoyun Zhang, Min Jiang, Jun Xu, Cui Tao and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):49

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  9. Suicide has been one of the leading causes of deaths in the United States. One major cause of suicide is psychiatric stressors. The detection of psychiatric stressors in an at risk population will facilitate t...

    Authors: Jingcheng Du, Yaoyun Zhang, Jianhong Luo, Yuxi Jia, Qiang Wei, Cui Tao and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):43

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  10. Relationships between bio-entities (genes, proteins, diseases, etc.) constitute a significant part of our knowledge. Most of this information is documented as unstructured text in different forms, such as book...

    Authors: Kaixian Yu, Pei-Yau Lung, Tingting Zhao, Peixiang Zhao, Yan-Yuan Tseng and Jinfeng Zhang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):42

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  11. Cancer is the second leading cause of death in the United States, exceeded only by heart disease. Extant cancer survival analyses have primarily focused on individual-level factors due to limited data availabi...

    Authors: Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave and Jiang Bian

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):41

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

  13. In low-resource settings, there are numerous socioeconomic challenges such as poverty, inadequate facilities, shortage of skilled health workers, illiteracy and cultural barriers that contribute to high matern...

    Authors: Stephen Mburu and Robert Oboko

    Citation: BMC Medical Informatics and Decision Making 2018 18:67

    Content type: Research article

    Published on:

  14. Informatics for Integrating Biology and the Bedside (i2b2) is an open source clinical data analytics platform used at over 200 healthcare institutions for querying patient data. The i2b2 platform has several c...

    Authors: Kavishwar B. Wagholikar, Pralav Dessai, Javier Sanz, Michael E. Mendis, Douglas S. Bell and Shawn N. Murphy

    Citation: BMC Medical Informatics and Decision Making 2018 18:66

    Content type: Software

    Published on:

  15. Recent scientific achievements and technological advances have brought forward a massive display of new or updated medical devices, enabled with highly-developed embedded-control functions and interactivity. F...

    Authors: Ignacio Ghersi, Mario Mariño and Mónica Teresita Miralles

    Citation: BMC Medical Informatics and Decision Making 2018 18:63

    Content type: Research article

    Published on:

  17. The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing wo...

    Authors: Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu and Jake Luo

    Citation: BMC Medical Informatics and Decision Making 2018 18:61

    Content type: Research article

    Published on:

  18. Healthcare professionals provide care to patients and during that process, record large quantities of data in patient records. Data in an Electronic Health Record should ideally be recorded once and be reusabl...

    Authors: Erik Joukes, Ronald Cornet, Martine C. de Bruijne, Nicolette F. de Keizer and Ameen Abu-Hanna

    Citation: BMC Medical Informatics and Decision Making 2018 18:54

    Content type: Research article

    Published on:

  19. Approaches to nurse staffing are commonly concerned with determining the minimum number of care hours according to the illness severity of patients. However, there is a gap in the literature considering multi-...

    Authors: Ana Respicio, Margarida Moz, Margarida Vaz Pato, Rute Somensi and Cecília Dias Flores

    Citation: BMC Medical Informatics and Decision Making 2018 18:53

    Content type: Research article

    Published on:

  20. Despite the growing interest in developing markers for predicting treatment response and optimizing treatment decisions, an appropriate methodology to identify, combine and evaluate such markers has been slow ...

    Authors: Parvin Tajik, Mohammad Hadi Zafarmand, Aeilko H. Zwinderman, Ben W. Mol and Patrick M. Bossuyt

    Citation: BMC Medical Informatics and Decision Making 2018 18:52

    Content type: Technical advance

    Published on:

  21. The performance of Computer Aided Diagnosis Systems for early melanoma detection relies mainly on quantitative evaluation of the geometric features corresponding to skin lesions. In these systems, diagnosis is...

    Authors: Agustin Sancen-Plaza, Raul Santiago-Montero, Humberto Sossa, Francisco J. Perez-Pinal, Juan J. Martinez-Nolasco and Jose A. Padilla-Medina

    Citation: BMC Medical Informatics and Decision Making 2018 18:50

    Content type: Research article

    Published on:

  22. Traditional health information systems are generally devised to support clinical data collection at the point of care. However, as the significance of the modern information economy expands in scope and permea...

    Authors: Richard Jackson, Ismail Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart and Richard Dobson

    Citation: BMC Medical Informatics and Decision Making 2018 18:47

    Content type: Software

    Published on:

  23. Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative informat...

    Authors: Matthew Shardlow, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught and Sophia Ananiadou

    Citation: BMC Medical Informatics and Decision Making 2018 18:46

    Content type: Research article

    Published on:

  24. Information and Communication Technologies (ICTs) have been utilised globally for advancing social and economic development. As information becomes key to enlightening development initiatives, the role of mobi...

    Authors: Joseph Thobias and Achilles Kiwanuka

    Citation: BMC Medical Informatics and Decision Making 2018 18:45

    Content type: Research article

    Published on:

  25. Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured d...

    Authors: Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar and Kamal Jethwani

    Citation: BMC Medical Informatics and Decision Making 2018 18:44

    Content type: Research article

    Published on:

  26. As patients become more engaged in decisions regarding their medical care, they must weigh the potential benefits and harms of different treatments. Patients who are low in numeracy may be at a disadvantage wh...

    Authors: Rachel F. Eyler, Sara Cordes, Benjamin R. Szymanski and Liana Fraenkel

    Citation: BMC Medical Informatics and Decision Making 2018 18:40

    Content type: Research article

    Published on:

  27. Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrate...

    Authors: Lingling Zhou, Ping Zhao, Dongdong Wu, Cheng Cheng and Hao Huang

    Citation: BMC Medical Informatics and Decision Making 2018 18:39

    Content type: Research article

    Published on:

  28. A scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products.

    Authors: Andrea C. Tricco, Wasifa Zarin, Erin Lillie, Serena Jeblee, Rachel Warren, Paul A. Khan, Reid Robson, Ba’ Pham, Graeme Hirst and Sharon E. Straus

    Citation: BMC Medical Informatics and Decision Making 2018 18:38

    Content type: Research article

    Published on:

  29. Monoclonal antibodies blocking the Cytotoxic T-lymphocyte antigen 4 (CTLA-4) receptor have revolutionized the field of anti-cancer therapy for the last few years. The human T-cell-based immune responses are mo...

    Authors: Aravindhan Ganesan, Theinmozhi Arulraj, Tahir Choulli and Khaled H. Barakat

    Citation: BMC Medical Informatics and Decision Making 2018 18:37

    Content type: Research article

    Published on:

  30. Alcohol misuse is an important cause of premature disability and death. While clinicians are recommended to ask patients about alcohol use and provide brief interventions and specialist referral, this is poorl...

    Authors: Shamil Haroon, Darren Wooldridge, Jan Hoogewerf, Krishnarajah Nirantharakumar, John Williams, Lina Martino and Neeraj Bhala

    Citation: BMC Medical Informatics and Decision Making 2018 18:36

    Content type: Research article

    Published on:

  31. Alzheimer’s Disease (AD) is a neurodegenaritive disorder characterized by a progressive dementia, for which actually no cure is known. An early detection of patients affected by AD can be obtained by analyzing...

    Authors: Giulia Fiscon, Emanuel Weitschek, Alessio Cialini, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Alessia Bramanti, Placido Bramanti and Maria Cristina De Cola

    Citation: BMC Medical Informatics and Decision Making 2018 18:35

    Content type: Research article

    Published on:

  33. Brain in Hand is a smartphone application (app) that allows users to create structured diaries with problems and solutions, attach reminders, record task completion and has a symptom monitoring system. Brain i...

    Authors: Jade Kettlewell, Julie Phillips, Kate Radford and Roshan dasNair

    Citation: BMC Medical Informatics and Decision Making 2018 18:33

    Content type: Research article

    Published on:

  34. Genomic medicine is emerging into clinical care. Communication of genetic laboratory results to patients and providers is hampered by the complex technical nature of the laboratory reports. This can lead to co...

    Authors: Marc S. Williams, Melissa S. Kern, Virginia R. Lerch, Jonathan Billet, Janet L. Williams and Gregory J. Moore

    Citation: BMC Medical Informatics and Decision Making 2018 18:32

    Content type: Technical advance

    Published on:

  35. It is essential that cancer patients understand anticipated symptoms, how to self-manage these symptoms, and when to call their clinicians. However, patients are often ill-prepared to manage symptoms at home. ...

    Authors: Mary E. Cooley, Janet L. Abrahm, Donna L. Berry, Michael S. Rabin, Ilana M. Braun, Joanna Paladino, Manan M. Nayak and David F. Lobach

    Citation: BMC Medical Informatics and Decision Making 2018 18:31

    Content type: Research article

    Published on:

  36. We examined the comparative performance of structured, diagnostic codes vs. natural language processing (NLP) of unstructured text for screening suicidal behavior among pregnant women in electronic medical rec...

    Authors: Qiu-Yue Zhong, Elizabeth W. Karlson, Bizu Gelaye, Sean Finan, Paul Avillach, Jordan W. Smoller, Tianxi Cai and Michelle A. Williams

    Citation: BMC Medical Informatics and Decision Making 2018 18:30

    Content type: Research article

    Published on:

  37. Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated...

    Authors: Jeongeun Lee, Hyun-Je Song, Eunsil Yoon, Seong-Bae Park, Sung-Hye Park, Jeong-Wook Seo, Peom Park and Jinwook Choi

    Citation: BMC Medical Informatics and Decision Making 2018 18:29

    Content type: Research article

    Published on:

  38. Health Information Organizations (HIOs) are third party organizations that facilitate electronic health information exchange (HIE) between providers in a geographic area. Despite benefits from HIE, HIOs have s...

    Authors: Sunny C. Lin and Julia Adler-Milstein

    Citation: BMC Medical Informatics and Decision Making 2018 18:28

    Content type: Research article

    Published on:

  39. Although evidence-based practice in healthcare has been facilitated by Internet access through wireless mobile devices, research on the effectiveness of clinical decision support for clinicians at the point of...

    Authors: Kyungsook Gartrell, Caitlin W. Brennan, Gwenyth R. Wallen, Fang Liu, Karen G. Smith and Paul Fontelo

    Citation: BMC Medical Informatics and Decision Making 2018 18:27

    Content type: Research article

    Published on:

  40. After publication of the original article [1] it was noted that the name of author, Peter Jack, was erroneously typeset in both the PDF and online formats of the manuscript as Peter Jack GradDipIndigH.

    Authors: K. S. Kylie Lee, Scott Wilson, Jimmy Perry, Robin Room, Sarah Callinan, Robert Assan, Noel Hayman, Tanya Chikritzhs, Dennis Gray, Edward Wilkes, Peter Jack and Katherine M. Conigrave

    Citation: BMC Medical Informatics and Decision Making 2018 18:26

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2018 18:8

  41. After publication of the original article [1] it was noted that the captions relating to Figs. 2 and 3 had been interchanged.

    Authors: Tianyong Hao, Xiaoyi Pan, Zhiying Gu, Yingying Qu and Heng Weng

    Citation: BMC Medical Informatics and Decision Making 2018 18:25

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2018 18:22

  42. There is potential for medical research on the basis of routine data used from general practice electronic health records (GP eHRs), even in areas where there is no common GP research platform. We present a ca...

    Authors: Šefket Šabanović, Majnarić Trtica Ljiljana, František Babič, Michal Vadovský, Ján Paralič, Aleksandar Včev and Andreas Holzinger

    Citation: BMC Medical Informatics and Decision Making 2018 18:24

    Content type: Research article

    Published on:

  43. The aim of this study was the development and evaluation of an algorithm-based diagnosis-tool, applicable on mobile phones, to support guardians in providing appropriate care to sick children.

    Authors: Konstantin H. Franke, Ralf Krumkamp, Aliyu Mohammed, Nimako Sarpong, Ellis Owusu-Dabo, Johanna Brinkel, Julius N. Fobil, Axel Bonacic Marinovic, Philip Asihene, Mark Boots, Jürgen May and Benno Kreuels

    Citation: BMC Medical Informatics and Decision Making 2018 18:23

    Content type: Research article

    Published on:

  44. Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal in...

    Authors: Tianyong Hao, Xiaoyi Pan, Zhiying Gu, Yingying Qu and Heng Weng

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):22

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:25

  45. De-identification is the first step to use these records for data processing or further medical investigations in electronic medical records. Consequently, a reliable automated de-identification system would b...

    Authors: Yue-Shu Zhao, Kun-Li Zhang, Hong-Chao Ma and Kun Li

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):18

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

  46. Identifying targets of herbs is a primary step for investigating pharmacological mechanisms of herbal drugs in Traditional Chinese medicine (TCM). Experimental targets identification of herbs is a difficult an...

    Authors: Kuo Yang, Guangming Liu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen and Xuezhong Zhou

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):17

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

  47. Health question-answering (QA) systems have become a typical application scenario of Artificial Intelligent (AI). An annotated question corpus is prerequisite for training machines to understand health informa...

    Authors: Haihong Guo, Xu Na and Jiao Li

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):16

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

  48. Clinical data registry is designed to collect and manage information about the practices and outcomes of a patient population for improving the quality and safety of care and facilitating novel researches. Sem...

    Authors: Lingtong Min, Qi Tian, Xudong Lu, Jiye An and Huilong Duan

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):15

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

  49. Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available....

    Authors: Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu and Tianyong Hao

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):14

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

  50. Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a common clinical event among hospitalized patients and it is associated with high morbidity and mortality. AKI is defined...

    Authors: Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman and Mei Liu

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):13

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

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