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  1. Content type: Research article

    Breast cancer chemoprevention can reduce breast cancer incidence in high-risk women; however, chemoprevention is underutilized in the primary care setting. We conducted a pilot study of decision support tools ...

    Authors: Rita Kukafka, Jiaqi Fang, Alejandro Vanegas, Thomas Silverman and Katherine D. Crew

    Citation: BMC Medical Informatics and Decision Making 2018 18:134

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  2. Content type: Research article

    Decision-making about palliative care for metastatic colorectal cancer (mCRC) consists of many different treatment-related decisions, and there generally is no best treatment option. Decision support systems (...

    Authors: Ellen G. Engelhardt, Dóra Révész, Hans J. Tamminga, Cornelis J. A. Punt, Miriam Koopman, Bregje D. Onwuteaka-Philipsen, Ewout W. Steyerberg, Henrica C. W. de Vet and Veerle M. H. Coupé

    Citation: BMC Medical Informatics and Decision Making 2018 18:132

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  3. Content type: Research article

    Systems science methods such as dynamic simulation modelling are well suited to address questions about public health policy as they consider the complexity, context and dynamic nature of system-wide behaviour...

    Authors: Louise Freebairn, Jo-An Atkinson, Paul M. Kelly, Geoff McDonnell and Lucie Rychetnik

    Citation: BMC Medical Informatics and Decision Making 2018 18:131

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  4. Content type: Research

    Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, captu...

    Authors: Xiangrui Li, Dongxiao Zhu and Phillip Levy

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):126

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    This article is part of a Supplement: Volume 18 Supplement 4

  5. Content type: Research

    Chronic Kidney Disease (CKD) is one of several conditions that affect a growing percentage of the US population; the disease is accompanied by multiple co-morbidities, and is hard to diagnose in-and-of itself. In...

    Authors: Moumita Bhattacharya, Claudine Jurkovitz and Hagit Shatkay

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):125

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    This article is part of a Supplement: Volume 18 Supplement 4

  6. Content type: Research

    There has been an increasing interest in understanding the usefulness of wrist-based accelerometer data for physical activity (PA) assessment due to the ease of use and higher user compliance than other body p...

    Authors: Matin Kheirkhahan, Avirup Chakraborty, Amal A. Wanigatunga, Duane B. Corbett, Todd M. Manini and Sanjay Ranka

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):124

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    This article is part of a Supplement: Volume 18 Supplement 4

  7. Content type: Research

    There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate explora...

    Authors: Tian Bai, Ashis Kumar Chanda, Brian L. Egleston and Slobodan Vucetic

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):123

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    This article is part of a Supplement: Volume 18 Supplement 4

  8. Content type: Research

    Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care access are a combination of physicians over-estimat...

    Authors: Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng and Nigam H. Shah

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):122

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    This article is part of a Supplement: Volume 18 Supplement 4

  9. Content type: Research

    SNOMED CT is a standardized and comprehensive clinical terminology that is used in Electronic Health Records to capture, store and access clinical data of patients. Studies have, however, shown that there are ...

    Authors: Ankur Agrawal

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):88

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    This article is part of a Supplement: Volume 18 Supplement 4

  10. Content type: Research article

    The use of health information technology (HIT) to improve patient safety is widely advocated by governmental and safety agencies. Electronic-prescribing and smart-pump technology are examples of HIT medication...

    Authors: Moninne M. Howlett, Brian J. Cleary and Cormac V. Breatnach

    Citation: BMC Medical Informatics and Decision Making 2018 18:130

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  11. Content type: Research

    Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients with early gastric cancer (EGC) is high after surgical resection. To strengthen diagnosing and ...

    Authors: Mi-Mi Liu, Li Wen, Yong-Jia Liu, Qiao Cai, Li-Ting Li and Yong-Ming Cai

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):121

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    This article is part of a Supplement: Volume 18 Supplement 5

  12. Content type: Research

    Health professionals and consumers use different terms to express medical events or concerns, which makes the communication barriers between the professionals and consumers. This may lead to bias in the diagno...

    Authors: Li Hou, Hongyu Kang, Yan Liu, Luqi Li and Jiao Li

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):120

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    This article is part of a Supplement: Volume 18 Supplement 5

  13. Content type: Research

    The Gene Ontology (GO) is a resource that supplies information about gene product function using ontologies to represent biological knowledge. These ontologies cover three domains: Cellular Component (CC), Mol...

    Authors: Ruoyao Ding, Yingying Qu, Cathy H. Wu and K. Vijay-Shanker

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):119

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  14. Content type: Research

    Colorectal Cancer (CRC) is the third leading cause of cancer death among men and women in the United States. Research has shown that the risk of CRC associates with genetic and lifestyle factors. It is possibl...

    Authors: Jiannan Liu, Chenyang Li, Jing Xu and Huanmei Wu

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):118

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    This article is part of a Supplement: Volume 18 Supplement 5

  15. Content type: Research

    The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitativ...

    Authors: Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao and Ruoyao Ding

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):117

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  16. Content type: Research

    Data heterogeneity is a common phenomenon related to the secondary use of electronic health records (EHR) data from different sources. The Observational Health Data Sciences and Informatics (OHDSI) Common Data...

    Authors: Na Hong, Ning Zhang, Huawei Wu, Shanshan Lu, Yue Yu, Li Hou, Yinying Lu, Hongfang Liu and Guoqian Jiang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):116

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  17. Content type: Research

    Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis ...

    Authors: Suyan Tian, Chi Wang and Howard H. Chang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):115

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  18. Content type: Research

    Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accur...

    Authors: Kai Xu, Zhanfan Zhou, Tao Gong, Tianyong Hao and Wenyin Liu

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):114

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  19. Content type: Research

    Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Current...

    Authors: Sicheng Zhou, Hong Kang, Bin Yao and Yang Gong

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):113

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  20. Content type: Research

    To realize semantic interoperability for Primary Health Information System (PHIS), this study analyzes and applies existing health information data standards in China. This research aims to establish a Primary...

    Authors: Xia Zhao, Xiaohua Li, Wei Yang, Qianjin Feng, Yi Zhou and Qiong Wang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):112

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:144

  21. Content type: Research

    Automated seizure detection from clinical EEG data can reduce the diagnosis time and facilitate targeting treatment for epileptic patients. However, current detection approaches mainly rely on limited features...

    Authors: Xiaoyan Wei, Lin Zhou, Ziyi Chen, Liangjun Zhang and Yi Zhou

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):111

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  22. Content type: Research

    Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems r...

    Authors: Hong Kang, Sicheng Zhou, Bin Yao and Yang Gong

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):110

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  23. Content type: Research article

    Colorectal cancer incidence and mortality have been increasing in China and as one of the most important health problems facing the nation. Adequate dissemination of correct information about colorectal cancer...

    Authors: Shun Zhang, Yao Yang, Dongyi Yan, Biao Yuan, Xiaohua Jiang and Chun Song

    Citation: BMC Medical Informatics and Decision Making 2018 18:129

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  24. Content type: Research article

    Extracting primary care information in terms of Patient/Problem, Intervention, Comparison and Outcome, known as PICO elements, is difficult as the volume of medical information expands and the health semantics...

    Authors: Samir Chabou and Michal Iglewski

    Citation: BMC Medical Informatics and Decision Making 2018 18:128

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  25. Content type: Technical advance

    As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis o...

    Authors: Douglas Teoh

    Citation: BMC Medical Informatics and Decision Making 2018 18:127

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  26. Content type: Research article

    With advancements in information technology, computerized physician order entry (CPOE) and electronic Medical Records (eMR), have become widely utilized in medical settings. The predominant mode of CPOE in Tai...

    Authors: George Linn, Yung-Hsiang Ying and Koyin Chang

    Citation: BMC Medical Informatics and Decision Making 2018 18:109

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  27. Content type: Research article

    Patient portal use can be a stimulant for patient engagement. Yet, the heterogeneous landscape of tethered patient portals, is a major barrier to further portal development and implementation. A variety in por...

    Authors: Gaby Anne Wildenbos, Frank Horenberg, Monique Jaspers, Linda Peute and Danielle Sent

    Citation: BMC Medical Informatics and Decision Making 2018 18:108

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  28. Content type: Research article

    The decreasing cost of obtaining high-quality calls of genomic variants and the increasing availability of clinically relevant data on such variants are important drivers for personalized oncology. To allow ra...

    Authors: Johannes Starlinger, Steffen Pallarz, Jurica Ševa, Damian Rieke, Christine Sers, Ulrich Keilholz and Ulf Leser

    Citation: BMC Medical Informatics and Decision Making 2018 18:107

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  29. Content type: Research article

    Common measures used to describe preventive treatment effects today are proportional, i.e. they compare the proportions of events in relative or absolute terms, however they are not easily interpreted from the...

    Authors: Erik Berglund, Ragnar Westerling, Johan Sundström and Per Lytsy

    Citation: BMC Medical Informatics and Decision Making 2018 18:106

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  30. Content type: Study protocol

    Longevity creates increasing care needs for healthcare providers and family caregivers. Increasingly, the burden of care falls to one primary caregiver, increasing stress and reducing health outcomes. Addition...

    Authors: Yuri Quintana, Bradley Crotty, Darren Fahy, Lewis Lipsitz, Roger B. Davis and Charles Safran

    Citation: BMC Medical Informatics and Decision Making 2018 18:105

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  31. Content type: Research article

    To identify publicly available internet resources and assess their likelihood to support women making informed decisions about, and between, fertility preservation procedures before starting their cancer treat...

    Authors: N. Mahmoodi, H. L. Bekker, N. V. King, J. Hughes and G. L. Jones

    Citation: BMC Medical Informatics and Decision Making 2018 18:104

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  32. Content type: Research article

    To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using dimensional reduction visualization methods.

    Authors: Alexander Rosenberg, Christopher Fucile, Robert J. White, Melissa Trayhan, Samir Farooq, Caroline M. Quill, Lisa A. Nelson, Samuel J. Weisenthal, Kristen Bush and Martin S. Zand

    Citation: BMC Medical Informatics and Decision Making 2018 18:103

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  33. Content type: Research article

    Researchers paid little attention to understanding the association of organizational and human factors with patients’ perceived security in the context of health organizations. This study aims to address numer...

    Authors: Hamid Reza Peikari, Ramayah T., Mahmood Hussain Shah and May Chiun Lo

    Citation: BMC Medical Informatics and Decision Making 2018 18:102

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  34. Content type: Research article

    Recent decades have seen rapid growth in the implementation of Electronic Medical Records (EMRs) in healthcare settings in both developed regions as well as low and middle income countries. Yet despite substan...

    Authors: Amy O’Donnell, Eileen Kaner, Caroline Shaw and Catherine Haighton

    Citation: BMC Medical Informatics and Decision Making 2018 18:101

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  35. Content type: Debate

    Technology can potentially enable the implementation of a value-based healthcare system, where the impact of quality of care is offered at optimised cost for maximised patient benefit. Technology can deliver v...

    Authors: Edward Meinert, Abrar Alturkistani, David Brindley, Peter Knight, Glenn Wells and Nick de Pennington

    Citation: BMC Medical Informatics and Decision Making 2018 18:100

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  36. Content type: Research article

    The National Sleep Research Resource (NSRR) is a large-scale, openly shared, data repository of de-identified, highly curated clinical sleep data from multiple NIH-funded epidemiological studies. Although many...

    Authors: Licong Cui, Ningzhou Zeng, Matthew Kim, Remo Mueller, Emily R. Hankosky, Susan Redline and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2018 18:99

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  37. Content type: Research article

    Headache disorders are an important health burden, having a large health-economic impact worldwide. Current treatment & follow-up processes are often archaic, creating opportunities for computer-aided and deci...

    Authors: Gilles Vandewiele, Femke De Backere, Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens, Sofie Van Hoecke, Vincent Keereman, Koen Paemeleire, Femke Ongenae and Filip De Turck

    Citation: BMC Medical Informatics and Decision Making 2018 18:98

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  38. Content type: Research article

    Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and...

    Authors: Kiran Pohar Manhas, Shawn X. Dodd, Stacey Page, Nicole Letourneau, Carol E. Adair, Xinjie Cui and Suzanne C. Tough

    Citation: BMC Medical Informatics and Decision Making 2018 18:97

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  39. Content type: Technical advance

    Increasing mobile phone ownership, functionality and access to mobile-broad band internet services has triggered growing interest to harness the potential of mobile phone technology to improve health services ...

    Authors: Solomon Shiferaw, Andualem Workneh, Robel Yirgu, Geert-Jan Dinant and Mark Spigt

    Citation: BMC Medical Informatics and Decision Making 2018 18:96

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  40. Content type: Research article

    Mobile technology is ubiquitous. Women of childbearing age have embraced health information technology for pregnancy-related counsel as prenatal care provider communication is increasingly scarce and brief. Pr...

    Authors: Lyra Halili, Rebecca Liu, Kelly Ann Hutchinson, Kevin Semeniuk, Leanne M. Redman and Kristi B. Adamo

    Citation: BMC Medical Informatics and Decision Making 2018 18:95

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  41. Content type: Research article

    Cost effectiveness research is emerging in the chronic kidney disease (CKD) research field. Especially, an individual-level state transition model (microsimulation) is widely used for these researches. Some re...

    Authors: Shusuke Hiragi, Hiroshi Tamura, Rei Goto and Tomohiro Kuroda

    Citation: BMC Medical Informatics and Decision Making 2018 18:94

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  42. Content type: Research article

    Technological support may be crucial in optimizing healthcare professional practice and improving patient outcomes. A focus on electronic health records has left other technological supports relatively neglect...

    Authors: C Keyworth, J Hart, C J Armitage and M P Tully

    Citation: BMC Medical Informatics and Decision Making 2018 18:93

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  43. Content type: Research article

    In recent years, inter-municipal cooperation in healthcare services has been an important measure implemented to meet future demographic changes in western countries. This entails an increased focus on communi...

    Authors: Elisabeth Holen-Rabbersvik, Elin Thygesen, Tom Roar Eikebrokk, Rune Werner Fensli and Åshild Slettebø

    Citation: BMC Medical Informatics and Decision Making 2018 18:92

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  44. Content type: Software

    Trio studies, which involve the testing of samples from a proband and both parents, are often used by clinical laboratories to help with the classification of genetic variants, including copy number variants. ...

    Authors: Daniel Xia, Chen Zhang, Va Lip, Marian Harris and Yiping Shen

    Citation: BMC Medical Informatics and Decision Making 2018 18:91

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  45. Content type: Research article

    The health area is one of the most affected systems on the perspective of decision-making with multiobjectives, thus becoming prone to errors in the final solution, however, multicriteria decision analysis (MD...

    Authors: Talita D. C. Frazão, Deyse G. G. Camilo, Eric L. S. Cabral and Ricardo P. Souza

    Citation: BMC Medical Informatics and Decision Making 2018 18:90

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  46. Content type: Research article

    Molecular precision oncology is an emerging practice to improve cancer therapy by decreasing the risk of choosing treatments that lack efficacy or cause adverse events. However, the challenges of integrating m...

    Authors: Franziska Singer, Anja Irmisch, Nora C. Toussaint, Linda Grob, Jochen Singer, Thomas Thurnherr, Niko Beerenwinkel, Mitchell P. Levesque, Reinhard Dummer, Luca Quagliata, Sacha I. Rothschild, Andreas Wicki, Christian Beisel and Daniel J. Stekhoven

    Citation: BMC Medical Informatics and Decision Making 2018 18:89

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  47. Content type: Research article

    Online health information is unregulated and can be of highly variable quality. There is currently no singular quantitative tool that has undergone a validation process, can be used for a broad range of health...

    Authors: Julie M. Robillard, Jessica H. Jun, Jen-Ai Lai and Tanya L. Feng

    Citation: BMC Medical Informatics and Decision Making 2018 18:87

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  48. Content type: Software

    Pharmacovigilance consists in monitoring and preventing the occurrence of adverse drug reactions (ADR). This activity requires the collection and analysis of data from the patient record or any other sources t...

    Authors: Thibault Ledieu, Guillaume Bouzillé, Frantz Thiessard, Karine Berquet, Pascal Van Hille, Eric Renault, Elisabeth Polard and Marc Cuggia

    Citation: BMC Medical Informatics and Decision Making 2018 18:86

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  49. Content type: Research article

    Increased digitalization of healthcare comes along with the cost of cybercrime proliferation. This results to patients’ and healthcare providers' skepticism to adopt Health Information Technologies (HIT). In E...

    Authors: Pantelis Natsiavas, Janne Rasmussen, Maja Voss-Knude, Κostas Votis, Luigi Coppolino, Paolo Campegiani, Isaac Cano, David Marí, Giuliana Faiella, Fabrizio Clemente, Marco Nalin, Evangelos Grivas, Oana Stan, Erol Gelenbe, Jos Dumortier, Jan Petersen…

    Citation: BMC Medical Informatics and Decision Making 2018 18:85

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  50. Content type: Research article

    The objective of this study was to investigate the impact of patient portal adoption on patients’ primary care utilization and appointment adherence.

    Authors: Xiang Zhong, Muxuan Liang, Reynerio Sanchez, Menggang Yu, Pamela R. Budd, Julie L. Sprague and Marvin A. Dewar

    Citation: BMC Medical Informatics and Decision Making 2018 18:84

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