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  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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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  20. 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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  21. 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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  22. 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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  23. 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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  24. 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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  25. 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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  26. 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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  27. 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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  28. 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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  29. 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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  30. Height and weight data from electronic health records are increasingly being used to estimate the prevalence of childhood obesity. Here, we aim to assess the selection bias due to missing weight and height dat...

    Authors: Carmen Sayon-Orea, Conchi Moreno-Iribas, Josu Delfrade, Manuela Sanchez-Echenique, Pilar Amiano, Eva Ardanaz, Javier Gorricho, Garbiñe Basterra, Marian Nuin and Marcela Guevara

    Citation: BMC Medical Informatics and Decision Making 2020 20:9

    Content type: Research article

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  31. Stroke severity is an important predictor of patient outcomes and is commonly measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these scores are often recorded as free text i...

    Authors: Emily Kogan, Kathryn Twyman, Jesse Heap, Dejan Milentijevic, Jennifer H. Lin and Mark Alberts

    Citation: BMC Medical Informatics and Decision Making 2020 20:8

    Content type: Research article

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  32. The ubiquity of electronic health records (EHR) offers an opportunity to observe trajectories of laboratory results and vital signs over long periods of time. This study assessed the value of risk factor traje...

    Authors: Gyorgy J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar and Pedro J. Caraballo

    Citation: BMC Medical Informatics and Decision Making 2020 20:6

    Content type: Research article

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  33. Mobile health applications (mHealth apps) are increasingly being used to perform tasks that are conventionally performed by general practitioners (GPs), such as those involved in promoting health, preventing d...

    Authors: Apichai Wattanapisit, Chin Hai Teo, Sanhapan Wattanapisit, Emylia Teoh, Wing Jun Woo and Chirk Jenn Ng

    Citation: BMC Medical Informatics and Decision Making 2020 20:5

    Content type: Research article

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  34. In classification and diagnostic testing, the receiver-operator characteristic (ROC) plot and the area under the ROC curve (AUC) describe how an adjustable threshold causes changes in two types of error: false...

    Authors: André M. Carrington, Paul W. Fieguth, Hammad Qazi, Andreas Holzinger, Helen H. Chen, Franz Mayr and Douglas G. Manuel

    Citation: BMC Medical Informatics and Decision Making 2020 20:4

    Content type: Research article

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  35. We used the Surveillance, Epidemiology, and End Results (SEER) database to develop and validate deep survival neural network machine learning (ML) algorithms to predict survival following a spino-pelvic chondr...

    Authors: Sung Mo Ryu, Sung Wook Seo and Sun-Ho Lee

    Citation: BMC Medical Informatics and Decision Making 2020 20:3

    Content type: Research article

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  36. As healthcare facilities in Low- and Middle-Income Countries adopt digital health systems to improve hospital administration and patient care, it is important to understand the adoption process and assess the ...

    Authors: Naomi Muinga, Steve Magare, Jonathan Monda, Mike English, Hamish Fraser, John Powell and Chris Paton

    Citation: BMC Medical Informatics and Decision Making 2020 20:2

    Content type: Research article

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  37. Targeted client communication (TCC) using text messages can inform, motivate and remind pregnant and postpartum women of timely utilization of care. The mixed results of the effectiveness of TCC interventions ...

    Authors: Binyam Bogale, Kjersti Mørkrid, Brian O’Donnell, Buthaina Ghanem, Itimad Abu Ward, Khadija Abu Khader, Mervett Isbeih, Michael Frost, Mohammad Baniode, Taghreed Hijaz, Tamara Awwad, Yousef Rabah and J. Frederik Frøen

    Citation: BMC Medical Informatics and Decision Making 2020 20:1

    Content type: Research article

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  38. Although Internet-based interventions (IBIs) have been around for two decades, uptake has been slow. Increasing the acceptability of IBIs among end users may increase uptake. In this study, we explored the fac...

    Authors: Sherald Sanchez, Farah Jindani, Jing Shi, Mark van der Maas, Sylvia Hagopian, Robert Murray and Nigel Turner

    Citation: BMC Medical Informatics and Decision Making 2019 19:290

    Content type: Research article

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  39. Patient stratification is a critical task in clinical decision making since it can allow physicians to choose treatments in a personalized way. Given the increasing availability of electronic medical records (...

    Authors: Kishan Rama, Helena Canhão, Alexandra M. Carvalho and Susana Vinga

    Citation: BMC Medical Informatics and Decision Making 2019 19:289

    Content type: Software

    Published on:

  40. There are often multiple lesions in breast magnetic resonance imaging (MRI) reports and radiologists usually focus on describing the index lesion that is most crucial to clinicians in determining the managemen...

    Authors: Yi Liu, Qing Liu, Chao Han, Xiaodong Zhang and Xiaoying Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:288

    Content type: Research article

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  41. To examine the association between the medical imaging utilization and information related to patients’ socioeconomic, demographic and clinical factors during the patients’ ED visits; and to develop predictive...

    Authors: Xingyu Zhang, M. Fernanda Bellolio, Pau Medrano-Gracia, Konrad Werys, Sheng Yang and Prashant Mahajan

    Citation: BMC Medical Informatics and Decision Making 2019 19:287

    Content type: Research article

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  42. Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guideli...

    Authors: Zhidong Zhao, Yanjun Deng, Yang Zhang, Yefei Zhang, Xiaohong Zhang and Lihuan Shao

    Citation: BMC Medical Informatics and Decision Making 2019 19:286

    Content type: Research article

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  43. The accelerated growth of elderly population is creating a heavy burden to the healthcare system in many developed countries and regions. Electrocardiogram (ECG) analysis has been recognized as effective appro...

    Authors: Xiaomao Fan, Yang Zhao, Hailiang Wang and Kwok Leung Tsui

    Citation: BMC Medical Informatics and Decision Making 2019 19:285

    Content type: Research Article

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  44. Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality in the USA. Our objective was to assess the predictive value on critical illness and disposition of a sequential Bayes...

    Authors: Amado Alejandro Baez, Laila Cochon and Jose Maria Nicolas

    Citation: BMC Medical Informatics and Decision Making 2019 19:284

    Content type: Research article

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  45. To foster responsible data sharing in health research, ethical governance complementary to the EU General Data Protection Regulation is necessary. A governance framework for Big Data-driven research platforms ...

    Authors: S. Kalkman, M. Mostert, N. Udo-Beauvisage, J. J. van Delden and G. J. van Thiel

    Citation: BMC Medical Informatics and Decision Making 2019 19:283

    Content type: Research article

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  46. Family history (FH) information, including family members, side of family of family members (i.e., maternal or paternal), living status of family members, observations (diseases) of family members, etc., is ve...

    Authors: Xue Shi, Dehuan Jiang, Yuanhang Huang, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 10):277

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 10