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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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

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

  17. 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

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

  18. 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
  19. 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
  20. 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

    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

  21. 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

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

  22. 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

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

  23. 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

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

  24. 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

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

  25. 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

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

  26. 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

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

  27. The use of measurement instruments has become a major issue in physical therapy, but their use in daily practice is rare. The aim of this paper is to describe adherence to standardized assessments by physical ...

    Authors: Tania Gutiérrez Panchana and Viviane Hidalgo Cabalín
    Citation: BMC Medical Informatics and Decision Making 2018 18:21
  28. The frequency of head computed tomography (CT) imaging for mild head trauma patients has raised safety and cost concerns. Validated clinical decision rules exist in the published literature and on-line sources...

    Authors: Ronald W. Gimbel, Ronald G. Pirrallo, Steven C. Lowe, David W. Wright, Lu Zhang, Min-Jae Woo, Paul Fontelo, Fang Liu and Zachary Connor
    Citation: BMC Medical Informatics and Decision Making 2018 18:20
  29. Traditional Chinese Medicine (TCM) is a style of traditional medicine informed by modern medicine but built on a foundation of more than 2500 years of Chinese medical practice. According to statistics, TCM acc...

    Authors: Jian-Xiang Wei, Jing Wang, Yun-Xia Zhu, Jun Sun, Hou-Ming Xu and Ming Li
    Citation: BMC Medical Informatics and Decision Making 2018 18:19
  30. Mobile health (mHealth) has continuously been used as a method in behavioral research to improve self-management in patients with chronic diseases. However, the evidence of its effectiveness in chronic disease...

    Authors: Jung-Ah Lee, Mona Choi, Sang A Lee and Natalie Jiang
    Citation: BMC Medical Informatics and Decision Making 2018 18:12
  31. Patient portals are considered valuable instruments for self-management of long term conditions, however, there are concerns over how patients might interpret and act on the clinical information they access. W...

    Authors: Paolo Fraccaro, Markel Vigo, Panagiotis Balatsoukas, Sabine N. van der Veer, Lamiece Hassan, Richard Williams, Grahame Wood, Smeeta Sinha, Iain Buchan and Niels Peek
    Citation: BMC Medical Informatics and Decision Making 2018 18:11
  32. Large healthcare databases, with their ability to collect many variables from daily medical practice, greatly enable health services research. These longitudinal databases provide large cohorts and longitudina...

    Authors: Daniel I. Rhon, Derek Clewley, Jodi L. Young, Charles D. Sissel and Chad E. Cook
    Citation: BMC Medical Informatics and Decision Making 2018 18:10
  33. Medical coding is used for a variety of activities, from observational studies to hospital billing. However, comorbidities tend to be under-reported by medical coders. The aim of this study was to develop an a...

    Authors: Emmanuelle Sylvestre, Guillaume Bouzillé, Emmanuel Chazard, Cécil His-Mahier, Christine Riou and Marc Cuggia
    Citation: BMC Medical Informatics and Decision Making 2018 18:9
  34. The challenges of assessing alcohol consumption can be greater in Indigenous communities where there may be culturally distinct approaches to communication, sharing of drinking containers and episodic patterns...

    Authors: KS 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 18:8

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:26

  35. The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplan...

    Authors: Alvaro Sobrinho, Leandro Dias da Silva, Angelo Perkusich, Maria Eliete Pinheiro and Paulo Cunha
    Citation: BMC Medical Informatics and Decision Making 2018 18:7
  36. The United States Preventive Services Task Force (USPSTF) issued recommendations for older, heavy lifetime smokers to complete annual low-dose computed tomography (LDCT) scans of the chest as screening for lun...

    Authors: Daniel S. Reuland, Laura Cubillos, Alison T. Brenner, Russell P. Harris, Bailey Minish and Michael P. Pignone
    Citation: BMC Medical Informatics and Decision Making 2018 18:5
  37. The evolving role of pharmacists in providing pharmaceutical care, as part of the healthcare team, challenges them to acquire up-to-date knowledge of medicines to make the best clinical decisions. The volume o...

    Authors: Ali Jasem Buabbas, Fatemah Mohammad Alsaleh, Hamza Mohamad Al-Shawaf, Ali Abdullah and Abdullah Almajran
    Citation: BMC Medical Informatics and Decision Making 2018 18:4
  38. Healthcare work is, to a considerable extent, cognitive. Subsequently, the analysis and the design of supporting technology must be sensitive to the cognitive and adaptive demands of the work and to the cognit...

    Authors: Gavan Lintern and Al Motavalli
    Citation: BMC Medical Informatics and Decision Making 2018 18:3
  39. Traditional survey methods are limited in the study of hidden populations due to the hard to access properties, including lack of a sampling frame, sensitivity issue, reporting error, small sample size, etc. T...

    Authors: Chuchu Liu and Xin Lu
    Citation: BMC Medical Informatics and Decision Making 2018 18:2
  40. The identification of patients at high risk of unplanned readmission is an important component of discharge planning strategies aimed at preventing unwanted returns to hospital. The aim of this study was to in...

    Authors: Yashar Maali, Oscar Perez-Concha, Enrico Coiera, David Roffe, Richard O. Day and Blanca Gallego
    Citation: BMC Medical Informatics and Decision Making 2018 18:1
  41. In Bangladesh, similar to its other South Asian counterparts, shortage of health workers along with inadequate infrastructure constitute some of the major obstacles for the equitable provision of reproductive ...

    Authors: Ghose Bishwajit, Md. Rakibul Hoque and Sanni Yaya
    Citation: BMC Medical Informatics and Decision Making 2017 17:182
  42. Telemedicine is changing traditional nursing care, and entails nurses performing advanced and complex care within a new clinical environment, and monitoring patients at a distance. Telemedicine practice requir...

    Authors: Tina Lien Barken, Elin Thygesen and Ulrika Söderhamn
    Citation: BMC Medical Informatics and Decision Making 2017 17:181
  43. Norway has a long history of using telemedicine, especially for geographical reasons. Despite the availability of promising telemedicine applications and the implementation of national initiatives and policies...

    Authors: H. Alami, M. P. Gagnon, R. Wootton, J. P. Fortin and P. Zanaboni
    Citation: BMC Medical Informatics and Decision Making 2017 17:180
  44. We studied the impact of a clinical decision support system (CDSS) implemented in a few wards of two Italian health care organizations on the ordering of redundant laboratory tests under different perspectives...

    Authors: Elena Bellodi, Emidia Vagnoni, Barbara Bonvento and Evelina Lamma
    Citation: BMC Medical Informatics and Decision Making 2017 17:179
  45. Little research has examined how physicians choose medical devices for treating individual patients to reveal if interventions are needed to support decision-making and reduce device-associated morbidity and m...

    Authors: Anna R. Gagliardi, Ariel Ducey, Pascale Lehoux, Thomas Turgeon, Jeremy Kolbunik, Sue Ross, Patricia Trbovich, Anthony Easty, Chaim Bell and David R. Urbach
    Citation: BMC Medical Informatics and Decision Making 2017 17:178
  46. Chronic obstructive pulmonary disease (COPD) and asthma are considered as the two most widespread obstructive lung diseases, whereas they affect more than 500 million people worldwide. Unfortunately, the requi...

    Authors: Antonios Lalas, Stavros Nousias, Dimitrios Kikidis, Aris Lalos, Gerasimos Arvanitis, Christos Sougles, Konstantinos Moustakas, Konstantinos Votis, Sylvia Verbanck, Omar Usmani and Dimitrios Tzovaras
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 3):173

    This article is part of a Supplement: Volume 17 Supplement 3

  47. Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be...

    Authors: Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang and Kan Xu
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 3):171

    This article is part of a Supplement: Volume 17 Supplement 3

  48. Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the da...

    Authors: Hong Song, Lei Chen, RuiQi Gao, Iordachescu Ilie Mihaita Bogdan, Jian Yang, Shuliang Wang, Wentian Dong, Wenxiang Quan, Weimin Dang and Xin Yu
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 3):166

    This article is part of a Supplement: Volume 17 Supplement 3

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