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  1. Breast cancer is a worldwide health concern. For early stage breast cancer patients, choosing the surgical method after diagnosis is always a dilemma. Decision aids designed for use by patients are tools which...

    Authors: Jing Si, Rong Guo, Xiang Lu, Chao Han, Li Xue, Dan Xing and Caiping Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:275

    Content type: Research article

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  2. The growing number of older people and, with it, the increase of neurological impairments such as dementia has led to the implementation of the use of computer programs for cognitive rehabilitation in people w...

    Authors: Manuel A. Franco-Martín, Angie A. Diaz-Baquero, Yolanda Bueno-Aguado, María T. Cid-Bartolomé, Esther Parra Vidales, María V. Perea Bartolomé, Isabel de la Torre Díez and Henriëtte G. van der Roest

    Citation: BMC Medical Informatics and Decision Making 2020 20:274

    Content type: Software

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  3. Higher levels of functional health in older adults leads to higher quality of life and improves the ability to age-in-place. Tracking functional health objectively could help clinicians to make decisions for i...

    Authors: Anup K. Mishra, Marjorie Skubic, Mihail Popescu, Kari Lane, Marilyn Rantz, Laurel A. Despins, Carmen Abbott, James Keller, Erin L. Robinson and Steve Miller

    Citation: BMC Medical Informatics and Decision Making 2020 20:270

    Content type: Research article

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  4. Autism is a lifelong disability associated with several comorbidities that confound diagnosis and treatment. A better understanding of these comorbidities would facilitate diagnosis and improve treatments. Our...

    Authors: Xiaojun Li, Guangjian Liu, Wenxiong Chen, Zhisheng Bi and Huiying Liang

    Citation: BMC Medical Informatics and Decision Making 2020 20:268

    Content type: Research article

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  5. Chronic pain has emerged as a disease in itself, affecting a growing number of people. Effective patient-provider communication is central to good pain management because pain can only be understood from the p...

    Authors: Nananda Col, Stephen Hull, Vicky Springmann, Long Ngo, Ernie Merritt, Susan Gold, Michael Sprintz, Noel Genova, Noah Nesin, Brenda Tierman, Frank Sanfilippo, Richard Entel and Lori Pbert

    Citation: BMC Medical Informatics and Decision Making 2020 20:267

    Content type: Research article

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  6. Female patients with pelvic organ prolapse and clinicians need to take decisions regarding treatment that are often unpredictable in relation to how they impact the future everyday lives of the patients.

    Authors: Mette Hulbaek, Eva Knutz, Niels Teglhus Ebbesen, Jette Primdahl, Jesper Bo Nielsen and Regner Birkelund

    Citation: BMC Medical Informatics and Decision Making 2020 20:265

    Content type: Research article

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  7. Syndrome differentiation aims at dividing patients into several types according to their clinical symptoms and signs, which is essential for traditional Chinese medicine (TCM). Several previous works were devo...

    Authors: Huaxin Pang, Shikui Wei, Yufeng Zhao, Liyun He, Jian Wang, Baoyan Liu and Yao Zhao

    Citation: BMC Medical Informatics and Decision Making 2020 20:264

    Content type: Research article

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  8. Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descr...

    Authors: Enrico Mensa, Davide Colla, Marco Dalmasso, Marco Giustini, Carlo Mamo, Alessio Pitidis and Daniele P. Radicioni

    Citation: BMC Medical Informatics and Decision Making 2020 20:263

    Content type: Research article

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  9. A decade ago, the advancements in the microbiome data sequencing techniques initiated the development of research of the microbiome and its relationship with the host organism. The development of sophisticated...

    Authors: Jasminka Hasic Telalovic and Azra Music

    Citation: BMC Medical Informatics and Decision Making 2020 20:262

    Content type: Research article

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  10. Medical terminologies are commonly used in medicine. For instance, to answer a pharmacovigilance question, pharmacovigilance specialists (PVS) search in a pharmacovigilance database for reports in relation to ...

    Authors: Romaric Marcilly, Laura Douze, Sébastien Ferré, Bissan Audeh, Carlos Bobed, Agnès Lillo-Le Louët, Jean-Baptiste Lamy and Cédric Bousquet

    Citation: BMC Medical Informatics and Decision Making 2020 20:261

    Content type: Research article

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  11. At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas.

    Authors: Xuejie Yang, Xiaoyu Wang, Xingguo Li, Dongxiao Gu, Changyong Liang, Kang Li, Gongrang Zhang and Jinhong Zhong

    Citation: BMC Medical Informatics and Decision Making 2020 20:260

    Content type: Research article

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  12. The symbiotic interactions that occur between humans and organisms in our environment have a tremendous impact on our health. Recently, there has been a surge in interest in understanding the complex relations...

    Authors: Matthew Diller, Evan Johnson, Amanda Hicks and William R. Hogan

    Citation: BMC Medical Informatics and Decision Making 2020 20:258

    Content type: Research article

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  13. There is an increasing interest in clinical prediction tools that can achieve high prediction accuracy and provide explanations of the factors leading to increased risk of adverse outcomes. However, approaches...

    Authors: Amie J. Barda, Christopher M. Horvat and Harry Hochheiser

    Citation: BMC Medical Informatics and Decision Making 2020 20:257

    Content type: Research article

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  14. Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data...

    Authors: Maliha Sultana, Afrida Hossain, Fabiha Laila, Kazi Abu Taher and Muhammad Nazrul Islam

    Citation: BMC Medical Informatics and Decision Making 2020 20:256

    Content type: Research article

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  15. Clinical endpoint prediction remains challenging for health providers. Although predictors such as age, gender, and disease staging are of considerable predictive value, the accuracy often ranges between 60 an...

    Authors: Maliazurina Saad and Ik Hyun Lee

    Citation: BMC Medical Informatics and Decision Making 2020 20:255

    Content type: Research article

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  16. As technology continues to advance, the internet is becoming increasingly popular. Self-diagnosis and health information seeking online is growing more common and it will be important to understand the influen...

    Authors: Annabel Farnood, Bridget Johnston and Frances S. Mair

    Citation: BMC Medical Informatics and Decision Making 2020 20:253

    Content type: Review

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  17. With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using onl...

    Authors: Divneet Mandair, Premanand Tiwari, Steven Simon, Kathryn L. Colborn and Michael A. Rosenberg

    Citation: BMC Medical Informatics and Decision Making 2020 20:252

    Content type: Research article

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  18. Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) make optimal clinical decisions. This study aimed to develop machine ...

    Authors: Guilan Kong, Ke Lin and Yonghua Hu

    Citation: BMC Medical Informatics and Decision Making 2020 20:251

    Content type: Research article

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  19. Computer Aided Diagnostics (CAD) can support medical practitioners to make critical decisions about their patients’ disease conditions. Practitioners require access to the chain of reasoning behind CAD to buil...

    Authors: Julian Hatwell, Mohamed Medhat Gaber and R. Muhammad Atif Azad

    Citation: BMC Medical Informatics and Decision Making 2020 20:250

    Content type: Technical advance

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  20. Fever is one of the most common symptoms of pediatric consultations and its mismanagement is a health care burden. Guidelines on fever management are incoherent and data on fever management are still missing. ...

    Authors: David Martin, Jana Wachtmeister, Kai Ludwigs and Ekkehart Jenetzky

    Citation: BMC Medical Informatics and Decision Making 2020 20:249

    Content type: Study protocol

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  21. While clinical entity recognition mostly aims at electronic health records (EHRs), there are also the demands of dealing with the other type of text data. Automatic medical diagnosis is an example of new appli...

    Authors: Young-Min Kim and Tae-Hoon Lee

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 7):242

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 7

  22. Differentiating between ulcerative colitis (UC), Crohn’s disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases...

    Authors: Yuanren Tong, Keming Lu, Yingyun Yang, Ji Li, Yucong Lin, Dong Wu, Aiming Yang, Yue Li, Sheng Yu and Jiaming Qian

    Citation: BMC Medical Informatics and Decision Making 2020 20:248

    Content type: Research article

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  23. The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.

    Authors: Wei Tse Li, Jiayan Ma, Neil Shende, Grant Castaneda, Jaideep Chakladar, Joseph C. Tsai, Lauren Apostol, Christine O. Honda, Jingyue Xu, Lindsay M. Wong, Tianyi Zhang, Abby Lee, Aditi Gnanasekar, Thomas K. Honda, Selena Z. Kuo, Michael Andrew Yu…

    Citation: BMC Medical Informatics and Decision Making 2020 20:247

    Content type: Research article

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  24. Modern healthcare devices can be connected to computer networks and many western healthcare institutions run those devices in networks. At the same time, cyber attacks are on the rise and there is evidence tha...

    Authors: Markus Willing, Christian Dresen, Uwe Haverkamp and Sebastian Schinzel

    Citation: BMC Medical Informatics and Decision Making 2020 20:246

    Content type: Research article

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  25. A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assumi...

    Authors: Daniel Adu-Gyamfi, Fengli Zhang and Albert Kofi Kwansah Ansah

    Citation: BMC Medical Informatics and Decision Making 2020 20:245

    Content type: Research article

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  26. Healthcare managers, in comparison with other healthcare professionals, have an increased likelihood of experiencing technostress at work. Since knowledge about the causes and severity of technostress and abou...

    Authors: Magdalena Stadin, Maria Nordin, Eleonor I. Fransson and Anders Broström

    Citation: BMC Medical Informatics and Decision Making 2020 20:244

    Content type: Research article

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  27. Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, ...

    Authors: Zini Jian, Xianpei Wang, Jingzhe Zhang, Xinyu Wang and Youbin Deng

    Citation: BMC Medical Informatics and Decision Making 2020 20:243

    Content type: Research article

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  28. Prostate cancer is a very common and highly fatal in men. Current non-invasive detection methods like serum biomarker are unsatisfactory. Biomarkers with high accuracy for diagnostic of prostate cancer are urg...

    Authors: Xiaoli Chen, Yong Zhu, Mayumi Jijiwa, Masaki Nasu, Junmei Ai, Shengming Dai, Bin Jiang, Jicai Zhang, Gang Huang and Youping Deng

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 9):223

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 9

  29. Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method for minimizing medical errors. Existing CDSSs are limited in that they do not reflect actual data. To overcome this limit...

    Authors: Jin-Hyeok Park, Jeong-Heum Baek, Sun Jin Sym, Kang Yoon Lee and Youngho Lee

    Citation: BMC Medical Informatics and Decision Making 2020 20:241

    Content type: Research article

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  30. Information technology (IT) plays an important role in nursing practice. Hence, nurses’ experiences and viewpoints about IT integration into healthcare help improve nurses’ adoption of IT. This study aimed to ...

    Authors: Jamileh Farokhzadian, Reza Khajouei, Arie Hasman and Leila Ahmadian

    Citation: BMC Medical Informatics and Decision Making 2020 20:240

    Content type: Research article

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  31. The present study aims to investigate the role of histogram analysis of intravoxel incoherent motion (IVIM) in the differential diagnosis of benign and malignant breast lesions.

    Authors: Ya-Nan Jin, Yan Zhang, Jing-Liang Cheng, Xiao-Pan Zhang, Ying Hu and Xiao-Ning Shao

    Citation: BMC Medical Informatics and Decision Making 2020 20:239

    Content type: Research article

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  32. Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), marked by high cost, high morbidity and high mortality. As the early prediction of AKI is critical for patients’ outcomes and...

    Authors: Yuan Wang, Yake Wei, Hao Yang, Jingwei Li, Yubo Zhou and Qin Wu

    Citation: BMC Medical Informatics and Decision Making 2020 20:238

    Content type: Research article

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  33. Accurate forecasting of medical service demand is beneficial for the reasonable healthcare resource planning and allocation. The daily outpatient volume is characterized by randomness, periodicity and trend, a...

    Authors: Yihuai Huang, Chao Xu, Mengzhong Ji, Wei Xiang and Da He

    Citation: BMC Medical Informatics and Decision Making 2020 20:237

    Content type: Research article

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  34. Today’s healthcare organizations want to implement secure and quality healthcare software as cyber-security is a significant risk factor for healthcare data. Considering security requirements during trustworth...

    Authors: Md Tarique Jamal Ansari, Fahad Ahmed Al-Zahrani, Dhirendra Pandey and Alka Agrawal

    Citation: BMC Medical Informatics and Decision Making 2020 20:236

    Content type: Research article

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  35. The diagnosis between benign and malignant gallbladder lesions is sometimes difficult. The objective of this study is to assess whether contrast-enhanced ultrasound (CEUS) and contrast-enhanced harmonic endosc...

    Authors: Xue Liang and Xiang Jing

    Citation: BMC Medical Informatics and Decision Making 2020 20:235

    Content type: Research article

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  36. Clinical decision aids are used in various medical fields to support patients and clinicians when making healthcare decisions. Few attempts have been made to implement such tools in psychiatry. We developed Tr...

    Authors: Lukas O. Roebroek, Jojanneke Bruins, Philippe Delespaul, Albert Boonstra and Stynke Castelein

    Citation: BMC Medical Informatics and Decision Making 2020 20:234

    Content type: Research article

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  37. This case study in Makassar City, Indonesia aims to investigate the clinicians’ perceptions, including both satisfaction and barriers in using telemedicine in a large, established program which supported 3974 ...

    Authors: Dea Indria, Mohannad Alajlani and Hamish S F Fraser

    Citation: BMC Medical Informatics and Decision Making 2020 20:233

    Content type: Research article

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  38. Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long...

    Authors: Carolyn E. Clausen, Bennett L. Leventhal, Øystein Nytrø, Roman Koposov, Odd Sverre Westbye, Thomas Brox Røst, Victoria Bakken, Kaban Koochakpour, Ketil Thorvik and Norbert Skokauskas

    Citation: BMC Medical Informatics and Decision Making 2020 20:232

    Content type: Study protocol

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  39. IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks ...

    Authors: Anna R. Gagliardi, Heather N. Reich, Daniel C. Cattran and Sean J. Barbour

    Citation: BMC Medical Informatics and Decision Making 2020 20:231

    Content type: Research article

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  40. Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medi...

    Authors: Jannik Schaaf, Hans-Ulrich Prokosch, Martin Boeker, Johanna Schaefer, Jessica Vasseur, Holger Storf and Martin Sedlmayr

    Citation: BMC Medical Informatics and Decision Making 2020 20:230

    Content type: Research article

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  41. Despite the prevalent use and advantages of information systems in hospitals, some have failed to meet their predefined objectives. Surgery information system (SIS) is a sub-system of a hospital information sy...

    Authors: Faezeh Abbasi, Reza Khajouei and Moghaddameh Mirzaee

    Citation: BMC Medical Informatics and Decision Making 2020 20:229

    Content type: Research article

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  42. Parkinson’s Disease (PD) is a clinically diagnosed neurodegenerative disorder that affects both motor and non-motor neural circuits. Speech deterioration (hypokinetic dysarthria) is a common symptom, which oft...

    Authors: Ibrahim Karabayir, Samuel M. Goldman, Suguna Pappu and Oguz Akbilgic

    Citation: BMC Medical Informatics and Decision Making 2020 20:228

    Content type: Research article

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  43. Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8–30 days). We assessed how well a previously validated 30-day ...

    Authors: Sameh N. Saleh, Anil N. Makam, Ethan A. Halm and Oanh Kieu Nguyen

    Citation: BMC Medical Informatics and Decision Making 2020 20:227

    Content type: Research article

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  44. During the last decade, there has been an increase in studies describing use of mHealth, using smartphones with apps, in the healthcare system by a variety of populations. Despite this, few interventions inclu...

    Authors: Carina Göransson, Yvonne Wengström, Maria Hälleberg-Nyman, Ann Langius-Eklöf, Kristina Ziegert and Karin Blomberg

    Citation: BMC Medical Informatics and Decision Making 2020 20:226

    Content type: Research article

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  45. Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with breast cancer have highly variable survival lengths, indicating a need to identify prognostic biomarkers for pers...

    Authors: Li Tong, Jonathan Mitchel, Kevin Chatlin and May D. Wang

    Citation: BMC Medical Informatics and Decision Making 2020 20:225

    Content type: Research article

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  46. Data harmonisation (DH) has emerged amongst health managers, information technology specialists and researchers as an important intervention for routine health information systems (RHISs). It is important to u...

    Authors: Bey-Marrié Schmidt, Christopher J. Colvin, Ameer Hohlfeld and Natalie Leon

    Citation: BMC Medical Informatics and Decision Making 2020 20:222

    Content type: Research article

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  47. Access to health care is a fundamental human right, and the provision of affordable, high-quality, and appropriate medicines for maternal and child health is a vital component of a well-functioning health syst...

    Authors: Abel Demerew Hailu and Solomon Ahmed Mohammed

    Citation: BMC Medical Informatics and Decision Making 2020 20:221

    Content type: Research article

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  48. We focus on the importance of interpreting the quality of the labeling used as the input of predictive models to understand the reliability of their output in support of human decision-making, especially in cr...

    Authors: Federico Cabitza, Andrea Campagner and Luca Maria Sconfienza

    Citation: BMC Medical Informatics and Decision Making 2020 20:219

    Content type: Research article

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