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  1. Although cancer survivorship care plans have been in use for several years, they have been shown to not be effective in meeting the long-term needs of cancer survivors, in addition being generic and passive in...

    Authors: Akshat Kapoor and Priya Nambisan

    Citation: BMC Medical Informatics and Decision Making 2020 20:59

    Content type: Research article

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  2. The Australian government has implemented a compulsory aged care accreditation system to guide and monitor the risk management approach in registered residential aged care (RAC) homes. This research assessed t...

    Authors: Ping Yu, Tao Jiang, David Hailey, Jun Ma and Siyu Qian

    Citation: BMC Medical Informatics and Decision Making 2020 20:58

    Content type: Research article

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  3. In this editorial, we briefly summarize the International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019) that was held on June 9–11, 2019 at Columbus, Ohio, USA. Then, we introduce the two re...

    Authors: Xia Ning, Chi Zhang, Kai Wang, Zhongming Zhao and Ewy Mathé

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 2):51

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 2

  4. Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, howev...

    Authors: Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara Quinney, Pengyue Zhang, Xia Ning, Lang Li and Li Shen

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 2):50

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 2

  5. The key to modern drug discovery is to find, identify and prepare drug molecular targets. However, due to the influence of throughput, precision and cost, traditional experimental methods are difficult to be w...

    Authors: Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen and Kai Zheng

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 2):49

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 2

  6. During the process of decision-making for long-term care, clients are often dependent on informal support and available information about quality ratings of care services. However, clients do not take ratings ...

    Authors: Catharina M. van Leersum, Albine Moser, Ben van Steenkiste, Marion Reinartz, Esther Stoffers, Judith R. L. M. Wolf and Trudy van der Weijden

    Citation: BMC Medical Informatics and Decision Making 2020 20:57

    Content type: Research article

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  7. Primary care electronic medical record (EMR) data are emerging as a useful source for secondary uses, such as disease surveillance, health outcomes research, and practice improvement. These data capture clinic...

    Authors: Stephanie Garies, Michael Cummings, Hude Quan, Kerry McBrien, Neil Drummond, Donna Manca and Tyler Williamson

    Citation: BMC Medical Informatics and Decision Making 2020 20:56

    Content type: Research article

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  8. Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adopt...

    Authors: Hilde Herman, Sara S. Grobbelaar and Calie Pistorius

    Citation: BMC Medical Informatics and Decision Making 2020 20:55

    Content type: Research article

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  9. Many colorectal cancer (CRC) survivors experience persisting health problems post-treatment that compromise their health-related quality of life (HRQoL). Prediction models are useful tools for identifying surv...

    Authors: Dóra Révész, Sander M. J. van Kuijk, Floortje Mols, Fränzel J. B. van Duijnhoven, Renate M. Winkels, Huub Hoofs, I Jmert Kant, Luc J. Smits, Stéphanie O. Breukink, Lonneke V. van de Poll-Franse, Ellen Kampman, Sandra Beijer, Matty P. Weijenberg and Martijn J. L. Bours

    Citation: BMC Medical Informatics and Decision Making 2020 20:54

    Content type: Research article

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  10. Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in...

    Authors: Hao Xu, Steven Cox, Lisa Stillwell, Emily Pfaff, James Champion, Stanley C. Ahalt and Karamarie Fecho

    Citation: BMC Medical Informatics and Decision Making 2020 20:53

    Content type: Software

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  11. A variant of unknown significance (VUS) is a variant form of a gene that has been identified through genetic testing, but whose significance to the organism function is not known. An actual challenge in precis...

    Authors: Priscilla Machado do Nascimento, Inácio Gomes Medeiros, Raul Maia Falcão, Beatriz Stransky and Jorge Estefano Santana de Souza

    Citation: BMC Medical Informatics and Decision Making 2020 20:52

    Content type: Technical advance

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  12. Clinical prediction tasks such as patient mortality, length of hospital stay, and disease diagnosis are highly important in critical care research. The existing studies for clinical prediction mainly used simp...

    Authors: Chonghui Guo, Menglin Lu and Jingfeng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:48

    Content type: Research Article

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  13. The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing th...

    Authors: Daniel B. Hier and Steven U. Brint

    Citation: BMC Medical Informatics and Decision Making 2020 20:47

    Content type: Research article

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  14. Chronic conditions present major health problems, affecting an increasing number of individuals who experience a variety of symptoms that impact their health related quality of life. Digital tools can be of su...

    Authors: Berit Seljelid, Cecilie Varsi, Lise Solberg Nes, Aud-E Stenehjem, Jens Bollerslev and Elin Børøsund

    Citation: BMC Medical Informatics and Decision Making 2020 20:46

    Content type: Research article

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  15. Mammographic breast density is an important predictor of breast cancer, but its measurement has limitations related to subjectivity of visual evaluation or to difficult access for automatic volumetric measurem...

    Authors: Adriano L. C. Araújo, Heliana B. Soares, Daniel F. Carvalho, Roberto M. Mendonça and Antonio G. Oliveira

    Citation: BMC Medical Informatics and Decision Making 2020 20:45

    Content type: Technical advance

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  16. Laboratory testing occupies a prominent place in health care. Information technology systems have the potential to empower laboratory experts and to enhance the interpretation of test results in order to bette...

    Authors: Louis Raymond, Éric Maillet, Marie-Claude Trudel, Josianne Marsan, Ana Ortiz de Guinea and Guy Paré

    Citation: BMC Medical Informatics and Decision Making 2020 20:44

    Content type: Research article

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  17. Social media has arisen to be a new and important channel for information users for seeking and creating user-generated content. For health consumers, social media has long been regarded and employed as an imp...

    Authors: Jin Zhang, Zhong Zheng, Yanyan Wang and Yifan Zhu

    Citation: BMC Medical Informatics and Decision Making 2020 20:43

    Content type: Research article

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  18. In a novel endeavour we aimed to develop a clinically relevant case identification method for use in research about the mental health of children and young people in New Zealand using the Integrated Data Infra...

    Authors: Nicholas Bowden, Sheree Gibb, Hiran Thabrew, Jesse Kokaua, Richard Audas, Sally Merry, Barry Taylor and Sarah E Hetrick

    Citation: BMC Medical Informatics and Decision Making 2020 20:42

    Content type: Research article

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  19. The penetration level of mobile technology has grown exponentially and is part of our lifestyle, at all levels. The use of the smartphone has opened up a new horizon of possibilities in the treatment of health...

    Authors: A. Hernández-Reyes, G. Molina-Recio, R. Molina-Luque, M. Romero-Saldaña, F. Cámara-Martos and R. Moreno-Rojas

    Citation: BMC Medical Informatics and Decision Making 2020 20:40

    Content type: Study protocol

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  20. Mobile phones and personal digital assistants have been used for data collection in developing world settings for over three decades, and have become increasingly common. However, the use of electronic data ca...

    Authors: Avi Kenny, Nicholas Gordon, Jordan Downey, Owen Eddins, Kathleen Buchholz, Alvin Menyon and William Mansah

    Citation: BMC Medical Informatics and Decision Making 2020 20:39

    Content type: Software

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  21. Multiobjective decision-making processes present a high degree of complexity in their solution, and tools such as multicriteria decision analysis appear as a way to facilitate the decision-makers’ solution and...

    Authors: Deyse Gillyane Gomes Camilo, Ricardo Pires de Souza, Talita Dias Chagas Frazão and João Florêncio da Costa Junior

    Citation: BMC Medical Informatics and Decision Making 2020 20:38

    Content type: Research article

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  22. The detection of Alzheimer’s Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature rev...

    Authors: Harsh Bhasin and Ramesh Kumar Agrawal

    Citation: BMC Medical Informatics and Decision Making 2020 20:37

    Content type: Research article

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  23. Acute Kidney Injury (AKI) is common among inpatients. Severe AKI increases all-cause mortality especially in critically ill patients. Older patients are more at risk of AKI because of the declined renal functi...

    Authors: Yi-Shian Chen, Che-Yi Chou and Arbee L.P. Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:36

    Content type: Research article

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  24. Shared decision making (SDM) contributes to personalized decisions that fit the personal preferences of patients when choosing a treatment for a condition. However, older adults frequently face multiple chroni...

    Authors: Ruth E. Pel-Littel, Julia C. M. van Weert, Mirella M. Minkman, Wilma J. M. Scholte op Reimer, Marjolein H. van de Pol and Bianca M. Buurman

    Citation: BMC Medical Informatics and Decision Making 2020 20:35

    Content type: Research article

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  25. Despite the established evidence and theoretical advances explaining human judgments under uncertainty, developments of mobile health (mHealth) Clinical Decision Support Systems (CDSS) have not explicitly appl...

    Authors: L. Timotijevic, C. E. Hodgkins, A. Banks, P. Rusconi, B. Egan, M. Peacock, E. Seiss, M. M. L. Touray, H. Gage, C. Pellicano, G. Spalletta, F. Assogna, M. Giglio, A. Marcante, G. Gentile, I. Cikajlo…

    Citation: BMC Medical Informatics and Decision Making 2020 20:34

    Content type: Research article

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  26. We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of...

    Authors: Florian Kunneman, Mattijs Lambooij, Albert Wong, Antal van den Bosch and Liesbeth Mollema

    Citation: BMC Medical Informatics and Decision Making 2020 20:33

    Content type: Software

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  27. Electronic health records (EHRs) are considered as a powerful lever for enabling value-based health systems. However, many challenges to their use persist and some of their unintended negative impacts are incr...

    Authors: Hassane Alami, Pascale Lehoux, Marie-Pierre Gagnon, Jean-Paul Fortin, Richard Fleet and Mohamed Ali Ag Ahmed

    Citation: BMC Medical Informatics and Decision Making 2020 20:32

    Content type: Debate

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  28. Acceptance of Electronic patient portal (EPP) is instrumental for its success. Studies on users’ acceptance in the Middle East region are scarce. This study aims to use the TAM as a framework to quantitatively...

    Authors: Gladys N. Honein-AbouHaidar, Jumana Antoun, Karim Badr, Sani Hlais and Houry Nazaretian

    Citation: BMC Medical Informatics and Decision Making 2020 20:31

    Content type: Research article

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  29. Telemedicine is one of the healthcare sectors that has developed the most in recent years. Currently, telemedicine is mostly used for patients who have difficulty attending medical consultations because of whe...

    Authors: F. A. Allaert, L. Legrand, N. Abdoul Carime and C. Quantin

    Citation: BMC Medical Informatics and Decision Making 2020 20:30

    Content type: Debate

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  30. Modern data driven medical research promises to provide new insights into the development and course of disease and to enable novel methods of clinical decision support. To realize this, machine learning model...

    Authors: Johanna Eicher, Raffael Bild, Helmut Spengler, Klaus A. Kuhn and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2020 20:29

    Content type: Software

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  31. Individualization and patient-specific optimization of treatment is a major goal of modern health care. One way to achieve this goal is the application of high-resolution diagnostics together with the applicat...

    Authors: Katja Hoffmann, Katja Cazemier, Christoph Baldow, Silvio Schuster, Yuri Kheifetz, Sibylle Schirm, Matthias Horn, Thomas Ernst, Constanze Volgmann, Christian Thiede, Andreas Hochhaus, Martin Bornhäuser, Meinolf Suttorp, Markus Scholz, Ingmar Glauche, Markus Loeffler…

    Citation: BMC Medical Informatics and Decision Making 2020 20:28

    Content type: Software

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  32. Key barriers to healthcare use in rural Ghana include those of economic, social, cultural and institutional. Amid this, though rarely recognised in Ghanaian healthcare settings, mHealth technology has emerged ...

    Authors: Prince Peprah, Emmanuel Mawuli Abalo, Williams Agyemang-Duah, Hayford Isaac Budu, Emmanuel Appiah-Brempong, Anthony Kwame Morgan and Adjei Gyimah Akwasi

    Citation: BMC Medical Informatics and Decision Making 2020 20:27

    Content type: Research article

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  33. Maintaining adequate situation awareness is crucial for patient safety. Previous studies found that the use of avatar-based monitoring (Visual Patient Technology) improved the perception of vital signs compare...

    Authors: Olivier Garot, Julian Rössler, Juliane Pfarr, Michael T. Ganter, Donat R. Spahn, Christoph B. Nöthiger and David W. Tscholl

    Citation: BMC Medical Informatics and Decision Making 2020 20:26

    Content type: Research article

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  34. Electronic Health Records (EHRs) have the potential to improve many aspects of care and their use has increased in the last decade. Because of this, acceptance and adoption of EHRs is less of a concern than ad...

    Authors: Cynthia J. Sieck, Nicole Pearl, Tiffani J. Bright and Po-Yin Yen

    Citation: BMC Medical Informatics and Decision Making 2020 20:25

    Content type: Research article

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  35. Mobile health has potential for promotion of self-management in patients with chronic diseases. This study was conducted to investigate smartphone usage in patients with type II diabetes and their intention to...

    Authors: Fatemeh Rangraz Jeddi, Ehsan Nabovati, Rahele Hamidi and Reihane Sharif

    Citation: BMC Medical Informatics and Decision Making 2020 20:24

    Content type: Research article

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  36. Colon cancer is common worldwide and is the leading cause of cancer-related death. Multiple levels of omics data are available due to the development of sequencing technologies. In this study, we proposed an i...

    Authors: Danyang Tong, Yu Tian, Tianshu Zhou, Qiancheng Ye, Jun Li, Kefeng Ding and Jingsong Li

    Citation: BMC Medical Informatics and Decision Making 2020 20:22

    Content type: Research article

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  37. A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects...

    Authors: J. Wolff, A. Gary, D. Jung, C. Normann, K. Kaier, H. Binder, K. Domschke, A. Klimke and M. Franz

    Citation: BMC Medical Informatics and Decision Making 2020 20:21

    Content type: Research article

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  38. Lack of usability can be a major barrier for the rapid adoption of mobile services. Therefore, the purpose of this paper is to investigate the usability of Mobile Health applications in Bangladesh.

    Authors: Muhammad Nazrul Islam, Md. Mahboob Karim, Toki Tahmid Inan and A. K. M. Najmul Islam

    Citation: BMC Medical Informatics and Decision Making 2020 20:19

    Content type: Research article

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  39. Data masking is an inborn defect of measures of disproportionality in adverse drug reactions (ADRs) signal detection. Many previous studies can be roughly classified into three categories: data removal, regres...

    Authors: Jian-Xiang Wei, Yue Ding, Ming Li and Jun Sun

    Citation: BMC Medical Informatics and Decision Making 2020 20:18

    Content type: Research article

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  40. Within the United Kingdom’s National Health System (NHS), patients suffering from obesity may be provided with bariatric surgery. After receiving surgery many of these patients require further support to conti...

    Authors: J. Murphy, T. Uttamlal, K. A. Schmidtke, I. Vlaev, D. Taylor, M. Ahmad, S. Alsters, P. Purkayastha, S. Scholtz, R. Ramezani, A. R. Ahmed, H. Chahal, A. Darzi and A. I. F. Blakemore

    Citation: BMC Medical Informatics and Decision Making 2020 20:17

    Content type: Research article

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  41. Cardiovascular diseases kill approximately 17 million people globally every year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) occurs when the heart cannot pump enou...

    Authors: Davide Chicco and Giuseppe Jurman

    Citation: BMC Medical Informatics and Decision Making 2020 20:16

    Content type: Research Article

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  42. Antimicrobial prophylaxis is an evidence-proven strategy for reducing procedure-related infections; however, measuring this key quality metric typically requires manual review, due to the way antimicrobial pro...

    Authors: Hillary J. Mull, Kelly Stolzmann, Emily Kalver, Marlena H. Shin, Marin L. Schweizer, Archana Asundi, Payal Mehta, Maggie Stanislawski and Westyn Branch-Elliman

    Citation: BMC Medical Informatics and Decision Making 2020 20:15

    Content type: Research article

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  43. Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, y...

    Authors: Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira…

    Citation: BMC Medical Informatics and Decision Making 2020 20:14

    Content type: Research article

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  44. The emergency department is a critical juncture in the trajectory of care of patients with serious, life-limiting illness. Implementation of a clinical decision support (CDS) tool automates identification of o...

    Authors: Audrey Tan, Mark Durbin, Frank R. Chung, Ada L. Rubin, Allison M. Cuthel, Jordan A. McQuilkin, Aram S. Modrek, Catherine Jamin, Nicholas Gavin, Devin Mann, Jordan L. Swartz, Jonathan S. Austrian, Paul A. Testa, Jacob D. Hill and Corita R. Grudzen

    Citation: BMC Medical Informatics and Decision Making 2020 20:13

    Content type: Research article

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  45. The Chinese assessment standards of the International Classification of Functioning, Disability and Health Rehabilitation Set is available now. It is coming to be used as a basic functional evaluation tool in ...

    Authors: Malan Zhang, Jiani Yu, Wei Shen, Yun Zhang, Yun Xiang, Xinting Zhang, Ziling Lin and Tiebin Yan

    Citation: BMC Medical Informatics and Decision Making 2020 20:12

    Content type: Research article

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  46. Tele-monitoring (TM) is remote monitoring of individuals via info-communication technology, enabling them and their relatives or care-providers to recognize their health status conveniently. TM will be success...

    Authors: David Yang Ern Sin, Xiaoxuan Guo, Dayna Wei Wei Yong, Tian Yu Qiu, Peter Kirm Seng Moey, Muller-Riemenschneider Falk and Ngiap Chuan Tan

    Citation: BMC Medical Informatics and Decision Making 2020 20:11

    Content type: Research article

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  47. Cloud storage facilities (CSF) has become popular among the internet users. There is limited data on CSF usage among university students in low middle-income countries including Sri Lanka. In this study we pre...

    Authors: Samankumara Hettige, Eshani Dasanayaka and Dileepa Senajith Ediriweera

    Citation: BMC Medical Informatics and Decision Making 2020 20:10

    Content type: Research article

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