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  1. 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 Published on:

  2. 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 Published on:

  3. 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 Published on:

  4. 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 Published on:

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

  5. 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 Published on:

  7. 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 Published on:

  8. 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 Published on:

  9. 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 Published on:

  10. 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 Published on:

  11. 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 Published on:

  12. 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 Published on:

  13. 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 Published on:

  14. 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 Published on:

  15. 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 Published on:

  16. 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 Published on:

  17. 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 Published on:

  18. 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 Published on:

  19. 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 Published on:

  20. 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 Published on:

  21. 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 Published on:

  22. 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 Published on:

  23. 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 Published on:

  24. 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 Published on:

  25. Nursing informatics (NI) along with growth and development of health information technology (HIT) is becoming a fundamental part of all domains of nursing practice especially in critical care settings. Nurses ...

    Authors: Somayeh Jouparinejad, Golnaz Foroughameri, Reza Khajouei and Jamileh Farokhzadian
    Citation: BMC Medical Informatics and Decision Making 2020 20:220
    Content type: Research article Published on:

  26. 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 Published on:

  27. The objectives of this study were to 1) measure the percentage of women who received SMS-based family planning communication, and 2) its association with modern contraception and maternal healthcare services a...

    Authors: Yingying Hu, Rui Huang, Bishwajit Ghose and Shangfeng Tang
    Citation: BMC Medical Informatics and Decision Making 2020 20:218
    Content type: Research article Published on:

  28. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Muhammad Shabaan, Kaleem Arshid, Muhammad Yaqub, Feng Jinchao, M. Sultan Zia, Giridhar Reddy Boja, Muazzam Iftikhar, Usman Ghani, Loknath Sai Ambati and Rizwan Munir
    Citation: BMC Medical Informatics and Decision Making 2020 20:217
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2020 20:177

  29. Telehealth (TH) was introduced as a promising tool to support integrated care for the management of chronic obstructive pulmonary disease (COPD). It aims at improving self-management and providing remote suppo...

    Authors: Violeta Gaveikaite, Casandra Grundstrom, Stefan Winter, Helen Schonenberg, Minna Isomursu, Ioanna Chouvarda and Nicos Maglaveras
    Citation: BMC Medical Informatics and Decision Making 2020 20:216
    Content type: Research article Published on:

  30. 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 Published on:

  31. 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 Published on:

  32. 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 Published on:

  33. 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 Published on:

  34. 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 Published on:

  35. 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 Published on:

  36. 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 Published on:

  37. 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 Published on:

  38. 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 Published on:

  39. 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 Published on:

  40. 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 Published on:

  41. 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 Published on:

  42. 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 Published on:

  43. 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 Published on:

  44. 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 Published on:

  45. 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 Published on:

  46. 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 Published on:

  47. 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 Published on:

  48. 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 Published on:

  49. 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 Published on:

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

  50. 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 Published on:

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

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BMC Medical Informatics and Decision Making

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