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  1. Accurately determining the softness level of pituitary tumors preoperatively by using their image textures can provide a basis for surgical options and prognosis. Existing methods for this problem require manu...

    Authors: Hong Zhu, Qianhao Fang, Yihe Huang and Kai Xu

    Citation: BMC Medical Informatics and Decision Making 2020 20:215

    Content type: Research article

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  2. Automated systems that use machine learning to estimate a patient’s risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpop...

    Authors: Vincent J. Major and Yindalon Aphinyanaphongs

    Citation: BMC Medical Informatics and Decision Making 2020 20:214

    Content type: Research article

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  3. With the development of information technology, an increasing number of healthcare professionals are using smartphones and mobile medical applications (apps) in their clinical practice. The objective of this s...

    Authors: Chao Zhang, Lin Fan, Zhaowu Chai, Cong Yu and Jinlin Song

    Citation: BMC Medical Informatics and Decision Making 2020 20:213

    Content type: Research article

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  4. The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnos...

    Authors: Xiangdong Gu, Mahlet G Tadesse, Andrea S Foulkes, Yunsheng Ma and Raji Balasubramanian

    Citation: BMC Medical Informatics and Decision Making 2020 20:212

    Content type: Research article

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  5. Most cost-effectiveness analyses in the context of cervical cancer prevention involve the use of mathematical models to simulate HPV infection, cervical disease and prevention strategies. However, it is common...

    Authors: David Moriña, José Ignacio Martí, Pedro Puig and Mireia Diaz

    Citation: BMC Medical Informatics and Decision Making 2020 20:211

    Content type: Software

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  6. Clinical analytics is a rapidly developing area of informatics and knowledge mobilisation which has huge potential to improve healthcare in the future. It is widely acknowledged to be a powerful mediator of cl...

    Authors: Kim Sutherland, Wilson Yeung, Yoke Mak and Jean-Frederic Levesque

    Citation: BMC Medical Informatics and Decision Making 2020 20:210

    Content type: Research article

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  7. Many studies are available in the literature about e-health in Saudi Arabia, however, data is limited to a few organizations and does not necessarily reflect the current and potential use of e-health for healt...

    Authors: Bader Aldebasi, Abdulaziz I. Alhassan, Sami Al-Nasser and Mostafa A. Abolfotouh

    Citation: BMC Medical Informatics and Decision Making 2020 20:209

    Content type: Research article

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  8. Gastrointestinal (GI) cancer including colorectal cancer, gastric cancer, pancreatic cancer, etc., are among the most frequent malignancies diagnosed annually and represent a major public health problem worldw...

    Authors: Charles C. N. Wang, Jennifer Jin, Jan-Gowth Chang, Masahiro Hayakawa, Atsushi Kitazawa, Jeffrey J. P. Tsai and Phillip C.-Y. Sheu

    Citation: BMC Medical Informatics and Decision Making 2020 20:208

    Content type: Research article

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  9. Electronic Medical Records (EMRs) are systems to store patient information like medical histories, test results, and medications electronically. It helps to give quality service by improving data handling and ...

    Authors: Mohammedjud Hassen Ahmed, Adina Demissie Bogale, Binyam Tilahun, Mulugeta Hayelom Kalayou, Jorn Klein, Shegaw Anagaw Mengiste and Berhanu Fikadie Endehabtu

    Citation: BMC Medical Informatics and Decision Making 2020 20:207

    Content type: Research article

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  10. Multi-drug intravenous (IV) therapy is one of the most common medical procedures used in intensive care units (ICUs), operating rooms, oncology wards and many other hospital departments worldwide. As drugs or ...

    Authors: Frank Doesburg, Roy Oelen, Maurits H. Renes, Wouter Bult, Daan J. Touw and Maarten W. Nijsten

    Citation: BMC Medical Informatics and Decision Making 2020 20:206

    Content type: Research article

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  11. ST-elevated myocardial infarction (STEMI) is a critical and time-sensitive emergency. The survival depends on prompt initiation of treatment requiring high precision and multi-level coordination between health...

    Authors: Nour Alkamel, Amr Jamal, Omar Alnobani, Mowafa Househ, Nasriah Zakaria, Mohammad Qawasmeh and Shabana Tharkar

    Citation: BMC Medical Informatics and Decision Making 2020 20:205

    Content type: Research article

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  12. Knowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy analysis. However, the clinical treatment text from electronic health data ...

    Authors: Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei and Bo Jin

    Citation: BMC Medical Informatics and Decision Making 2020 20:204

    Content type: Technical advance

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  13. Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between ...

    Authors: Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch II, Gayla R. Olbricht, Sima Azizi and Blaine Allen

    Citation: BMC Medical Informatics and Decision Making 2020 20:203

    Content type: Research article

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  14. The Health Information System (HIS) is a set of computerized tools for the collection, storage, management, and transmission of health data. The role of such tools in supporting the modernization of health sys...

    Authors: Cheick Oumar Bagayoko, Jack Tchuente, Diakaridia Traoré, Gaetan Moukoumbi Lipenguet, Raymond Ondzigue Mbenga, Aimé Patrice Koumamba, Myriam Corille Ondjani, Olive Lea Ndjeli and Marie-Pierre Gagnon

    Citation: BMC Medical Informatics and Decision Making 2020 20:202

    Content type: Research article

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  15. Methods of data mining and analytics can be efficiently applied in medicine to develop models that use patient-specific data to predict the development of diabetic polyneuropathy. However, there is room for im...

    Authors: Oleg Metsker, Kirill Magoev, Alexey Yakovlev, Stanislav Yanishevskiy, Georgy Kopanitsa, Sergey Kovalchuk and Valeria V. Krzhizhanovskaya

    Citation: BMC Medical Informatics and Decision Making 2020 20:201

    Content type: Research article

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  16. Diabetes mellitus is a major global health issue with a growing prevalence. In this context, the number of diabetic complications is also on the rise, such as diabetic foot ulcers (DFU), which are closely link...

    Authors: Jens Hüsers, Guido Hafer, Jan Heggemann, Stefan Wiemeyer, Swen Malte John and Ursula Hübner

    Citation: BMC Medical Informatics and Decision Making 2020 20:200

    Content type: Research article

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  17. Family-centered care is a valued approach to improving child and family outcomes in early intervention (EI), yet there is need to implement interventions that support information exchange for shared decision-m...

    Authors: E. C. Albrecht, V. C. Kaelin, B. L. Rigau, J. K. Dooling-Litfin, E. A. Scully, N. J. Murphy, B. M. McManus and M. A. Khetani

    Citation: BMC Medical Informatics and Decision Making 2020 20:199

    Content type: Research article

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  19. The prevalence of medical misinformation on the Internet has received much attention among researchers concerned that exposure to such information may inhibit patient adherence to prescriptions. Yet, little is...

    Authors: Nickolas M. Jones, Dana B. Mukamel, Shaista Malik, Robert S. Greenfield, Andrew Reikes, Nathan D. Wong and Emilie Chow

    Citation: BMC Medical Informatics and Decision Making 2020 20:197

    Content type: Research article

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  20. Drug-laboratory (lab) interactions (DLIs) are a common source of preventable medication errors. Clinical decision support systems (CDSSs) are promising tools to decrease such errors by improving prescription q...

    Authors: Zahra Niazkhani, Mahsa Fereidoni, Parviz Rashidi Khazaee, Afshin Shiva, Khadijeh Makhdoomi, Andrew Georgiou and Habibollah Pirnejad

    Citation: BMC Medical Informatics and Decision Making 2020 20:196

    Content type: Research article

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  21. Clinical registers constitute an invaluable resource in the medical data-driven decision making context. Accurate machine learning and data mining approaches on these data can lead to faster diagnosis, definit...

    Authors: Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò and Barbara Di Camillo

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 5):174

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 5

  22. Despite the vagueness and uncertainty that is intrinsic in any medical act, interpretation and decision (including acts of data reporting and representation of relevant medical conditions), still little resear...

    Authors: Andrea Seveso, Andrea Campagner, Davide Ciucci and Federico Cabitza

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 5):142

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 5

  23. As of today, cancer is still one of the most prevalent and high-mortality diseases, summing more than 9 million deaths in 2018. This has motivated researchers to study the application of machine learning-based...

    Authors: Mafalda Falcão Ferreira, Rui Camacho and Luís F. Teixeira

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 5):141

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 5

  24. Nearly half of US adults with diagnosed hypertension have uncontrolled blood pressure. Clinical inertia may contribute, including patient-physician uncertainty about how variability in blood pressures impacts ...

    Authors: Richelle J. Koopman, Shannon M. Canfield, Jeffery L. Belden, Pete Wegier, Victoria A. Shaffer, K. D. Valentine, Akshay Jain, Linsey M. Steege, Sonal J. Patil, Mihail Popescu and Michael L. LeFevre

    Citation: BMC Medical Informatics and Decision Making 2020 20:195

    Content type: Research article

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  25. In recent years, online pharmacies have been accepted by increasingly more consumers, and the prospects for online pharmacies are optimistic. This article explores the consumers’ satisfaction factors addressed...

    Authors: Jingfang Liu, Yingyi Zhou, Xiaoyan Jiang and Wei Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20:194

    Content type: Research article

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  26. There are serious safety risks associated with chemotherapy, often associated with interdependencies in regimens administered over months or years. Various strategies are used to manage these risks. Computeriz...

    Authors: Valentina Lichtner, Bryony Dean Franklin, Luciano Dalla-Pozza and Johanna I. Westbrook

    Citation: BMC Medical Informatics and Decision Making 2020 20:193

    Content type: Research article

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  27. Asthma is one of the most common chronic diseases in childhood. Regular follow-up of physiological parameters in the home setting, in relation to asthma symptoms, can provide complementary quantitative insight...

    Authors: M. R. van der Kamp, E. C. Klaver, B. J. Thio, J. M. M. Driessen, F. H. C. de Jongh, M. Tabak, J. van der Palen and H. J. Hermens

    Citation: BMC Medical Informatics and Decision Making 2020 20:192

    Content type: Research article

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  28. Many suggest that shared decision-making (SDM) is the most effective approach to clinical counseling. It is unclear if this applies to surgical decision-making-especially regarding urgent, highly-morbid operat...

    Authors: Laura A. Shinkunas, Caleb J. Klipowicz and Erica M. Carlisle

    Citation: BMC Medical Informatics and Decision Making 2020 20:190

    Content type: Research article

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  29. Shared decision making with older adults living with neurocognitive disorders is challenging for primary healthcare professionals. We studied the implementation of a professional training program featuring an ...

    Authors: Moulikatou Adouni Lawani, Luc Côté, Laetitia Coudert, Michèle Morin, Holly O. Witteman, Danielle Caron, Edeltraut Kroger, Philippe Voyer, Charo Rodriguez, France Légaré and Anik M. C. Giguere

    Citation: BMC Medical Informatics and Decision Making 2020 20:189

    Content type: Research article

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  30. The WHO recommends that individuals exposed to persons with multidrug resistant tuberculosis (MDRTB) should be screened for active TB and followed up for 2 years to detect and treat secondary cases early. Reso...

    Authors: Kush Naker, Katherine M. Gaskell, Munhjargal Dorjravdan, Naranzul Dambaa, Chrissy H. Roberts and David A. J. Moore

    Citation: BMC Medical Informatics and Decision Making 2020 20:188

    Content type: Research article

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  31. Determining the primary indication of a surgical procedure can be useful in identifying patients undergoing elective surgery where shared decision-making is recommended. The purpose of this study was to develo...

    Authors: John C. Giardina, Thomas Cha, Steven J. Atlas, Michael J. Barry, Andrew A. Freiberg, Lauren Leavitt, Felisha Marques and Karen Sepucha

    Citation: BMC Medical Informatics and Decision Making 2020 20:187

    Content type: Research article

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  32. Growing demand for medical services has increased patient waiting time due to the limited number or unbalanced distribution of healthcare centers. Healthcare teleconsultation networks are one of the potentiall...

    Authors: Mohammad Mahdi Taghipour and Mohammad Mehdi Sepehri

    Citation: BMC Medical Informatics and Decision Making 2020 20:186

    Content type: Research article

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  33. Administrative healthcare databases are widespread and are often standardized with regard to their content and data coding, thus they can be used also as data sources for surveillance and epidemiological resea...

    Authors: Dino Gibertoni, Claudio Voci, Marica Iommi, Benedetta D’Ercole, Marcora Mandreoli, Antonio Santoro and Elena Mancini

    Citation: BMC Medical Informatics and Decision Making 2020 20:185

    Content type: Research article

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  34. Quantifying soccer players’ performance using different types of technologies helps coaches in making tactical decisions and maintaining players’ health. Little is known about the relation between the performa...

    Authors: Jassim Almulla, Abdulrahman Takiddin and Mowafa Househ

    Citation: BMC Medical Informatics and Decision Making 2020 20:184

    Content type: Research article

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  35. China has had about 1.2 billion mobile-phone users, and this number continues to grow. However, mobile-health services (mHealth) are currently in the initial stage, and have not yet prevailed in China. Additio...

    Authors: J. Hu, D. Z. Yuan, Q. Y. Zhao, X. F. Wang, X. T. Zhang, Q. H. Jiang, H. R. Luo, J. Li, J. H. Ran and J. F. Li

    Citation: BMC Medical Informatics and Decision Making 2020 20:183

    Content type: Research article

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  36. Stakeholder engagement is being increasingly recognised as an important way to achieving impact in public health. The WorkHORSE (Working Health Outcomes Research Simulation Environment) project was designed to co...

    Authors: Ffion Lloyd-Williams, Lirije Hyseni, Maria Guzman-Castillo, Chris Kypridemos, Brendan Collins, Simon Capewell, Ellen Schwaller and Martin O’Flaherty

    Citation: BMC Medical Informatics and Decision Making 2020 20:182

    Content type: Research article

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  37. Chronic patients persistently seek for health information on the internet for medication information seeking, nutrition, disease management, information regarding disease preventive actions and so on. Consumer...

    Authors: Kirubel Biruk Shiferaw, Binyam Chakilu Tilahun, Berhanu Fikadie Endehabtu, Monika Knudsen Gullslett and Shegaw Anagaw Mengiste

    Citation: BMC Medical Informatics and Decision Making 2020 20:181

    Content type: Research article

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  38. User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to comp...

    Authors: Reza Abbasi, Monireh Sadeqi Jabali, Reza Khajouei and Hamidreza Tadayon

    Citation: BMC Medical Informatics and Decision Making 2020 20:180

    Content type: Research article

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  39. Malignant pleural effusion (MPE) is a common, serious problem predominantly seen in metastatic lung and breast cancer and malignant pleural mesothelioma. Recurrence of malignant pleural effusion is common, and...

    Authors: Cheryl Grindell, Angela Tod, Remi Bec, Daniel Wolstenholme, Rahul Bhatnagar, Parthipan Sivakumar, Anna Morley, Jayne Holme, Judith Lyons, Maryam Ahmed, Susan Jackson, Deirdre Wallace, Farinaz Noorzad, Meera Kamalanathan, Liju Ahmed and Mathew Evison

    Citation: BMC Medical Informatics and Decision Making 2020 20:179

    Content type: Research article

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  40. More information is often thought to improve medical decision-making, which may lead to test overuse. This study assesses which out of 15 laboratory tests contribute to diagnosing the underlying cause of anaem...

    Authors: Michelle M. A. Kip, Martijn L. J. Oonk, Mark-David Levin, Annemarie Schop, Patrick J. E. Bindels, Ron Kusters and Hendrik Koffijberg

    Citation: BMC Medical Informatics and Decision Making 2020 20:178

    Content type: Research article

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  41. A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes...

    Authors: Muhammad Shabaan, Kaleem Arshid, Muhammad Yaqub, Feng Jinchao, M. Sultan Zia, Giridhar Reddy Bojja, Muazzam Iftikhar, Usman Ghani, Loknath Sai Ambati and Rizwan Munir

    Citation: BMC Medical Informatics and Decision Making 2020 20:177

    Content type: Review

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2020 20:217

  42. Poor adherence to long-term recombinant human growth hormone (r-hGH) treatment can lead to suboptimal clinical outcomes; consequently, supporting and monitoring adherence is a crucial part of patient managemen...

    Authors: Ekaterina Koledova, Vincenzo Tornincasa and Paula van Dommelen

    Citation: BMC Medical Informatics and Decision Making 2020 20:176

    Content type: Research article

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  43. Informational discontinuity can have far reaching consequences like medical errors, increased re-hospitalization rates and adverse events among others. Thus the holy grail of seamless informational continuity ...

    Authors: Naveen R. Gowda, Atul Kumar, Sanjay K. Arya and Vikas H

    Citation: BMC Medical Informatics and Decision Making 2020 20:175

    Content type: Research article

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  44. Research using linked routine population-based data collected for non-research purposes has increased in recent years because they are a rich and detailed source of information. The objective of this study is ...

    Authors: Daniela Almeida, David Gorender, Maria Yury Ichihara, Samila Sena, Luan Menezes, George C. G. Barbosa, Rosimeire L. Fiaccone, Enny S. Paixão, Robespierre Pita and Mauricio L. Barreto

    Citation: BMC Medical Informatics and Decision Making 2020 20:173

    Content type: Research article

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  45. Shared decision-making improves the quality of patient care. Unfortunately, shared decision-making is not yet common practice among vascular surgeons. Thus, decision support tools were developed to assist vasc...

    Authors: S. M. L. de Mik, F. E. Stubenrouch, D. A. Legemate, R. Balm and D. T. Ubbink

    Citation: BMC Medical Informatics and Decision Making 2020 20:172

    Content type: Study protocol

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  46. The exact risk of developing QTc-prolongation when using a combination of QTc-prolonging drugs is still unknown, making it difficult to interpret these QT drug-drug interactions (QT-DDIs). A tool to identify h...

    Authors: Florine A. Berger, Heleen van der Sijs, Matthijs L. Becker, Teun van Gelder and Patricia M. L. A. van den Bemt

    Citation: BMC Medical Informatics and Decision Making 2020 20:171

    Content type: Research article

    Published on:

  48. Parent-clinician shared decision making is the recommended model for the care of premature infants; thus, clinicians provide prenatal prematurity counseling to parents in the event of a mother’s hospitalizatio...

    Authors: Nicole M. Rau, Mir A. Basir and Kathryn E. Flynn

    Citation: BMC Medical Informatics and Decision Making 2020 20:169

    Content type: Research article

    Published on:

  50. “Artificial intelligence” (AI) is often referred to as “augmented human intelligence” (AHI). The latter term implies that computers support—rather than replace—human decision-making. It is unclear whether the ...

    Authors: Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore and Cheristi Cognetta-Rieke

    Citation: BMC Medical Informatics and Decision Making 2020 20:167

    Content type: Research article

    Published on:

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