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  1. A large number of biological studies have shown that miRNAs are inextricably linked to many complex diseases. Studying the miRNA-disease associations could provide us a root cause understanding of the underlyi...

    Authors: Shanchen Pang, Yu Zhuang, Xinzeng Wang, Fuyu Wang and Sibo Qiao
    Citation: BMC Medical Informatics and Decision Making 2021 21:319
  2. Inadequate assessment of the severity and urgency of health problems is one of the factors contributing to unnecessary emergency department visits. A software-based instrument for standardized initial assessme...

    Authors: Amanda Breckner, Catharina Roth, Joachim Szecsenyi and Michel Wensing
    Citation: BMC Medical Informatics and Decision Making 2021 21:318
  3. The historical data of rare disease is very scarce in reality, so how to perform drug repositioning for the rare disease is a great challenge. Most existing methods of drug repositioning for the rare disease u...

    Authors: Hongkui Cao, Liang Zhang, Bo Jin, Shicheng Cheng, Xiaopeng Wei and Chao Che
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):304

    This article is part of a Supplement: Volume 21 Supplement 9

  4. To meet the needs of aging and dementia patients in Taiwan, this study designed a nursing system that includes communication, location tracking, and fall detection, and early warning services. The main purpose...

    Authors: Cheng-Wen Lee and Hsiu-Mang Chuang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 10):273

    This article is part of a Supplement: Volume 21 Supplement 10

  5. 2019-nCoV has been spreading around the world and becoming a global concern. To prevent further widespread of 2019-nCoV, confirmed and suspected cases of COVID-19 infection are suggested to be kept in quaranti...

    Authors: Huanhuan Wu, Yichen Zhong, Yingjie Tian, Shan Jiang and Lingyun Luo
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):271

    This article is part of a Supplement: Volume 21 Supplement 9

  6. In recent years, with the development of artificial intelligence, the use of deep learning technology for clinical information extraction has become a new trend. Clinical Event Detection (CED) as its subtask h...

    Authors: Zhichang Zhang, Dan Liu, Minyu Zhang and Xiaohui Qin
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):261

    This article is part of a Supplement: Volume 21 Supplement 9

  7. Clinical notes are unstructured text documents generated by clinicians during patient encounters, generally are annotated with International Classification of Diseases (ICD) codes, which give formatted informa...

    Authors: Shuyuan Hu, Fei Teng, Lufei Huang, Jun Yan and Haibo Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):256

    This article is part of a Supplement: Volume 21 Supplement 9

  8. Standardized coding of plays an important role in radiology reports’ secondary use such as data analytics, data-driven decision support, and personalized medicine. RadLex, a standard radiological lexicon, can ...

    Authors: Yani Chen, Shan Nan, Qi Tian, Hailing Cai, Huilong Duan and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):247

    This article is part of a Supplement: Volume 21 Supplement 9

  9. Electronic medical records are widely used in family practices across Canada and can improve health outcomes. However, recent reports indicate that physicians using electronic medical records work longer and h...

    Authors: Scott Laing and Jay Mercer
    Citation: BMC Medical Informatics and Decision Making 2021 21:315
  10. In Japan, the number of older people with various health problems and difficulties in living is increasing. In order to practice patient-centered care for them, not only medical professionals but also multidis...

    Authors: Yuko Goto, Yasuhiro Yamaguchi, Joji Onishi, Hidenori Arai, Martin Härter, Isabelle Scholl, Levente Kriston and Hisayuki Miura
    Citation: BMC Medical Informatics and Decision Making 2021 21:314
  11. Several hematological indices have been already proposed to discriminate between iron deficiency anemia (IDA) and β‐thalassemia trait (βTT). This study compared the diagnostic performance of different hematolo...

    Authors: Fakher Rahim, Anoshirvan Kazemnejad, Mina Jahangiri, Amal Saki Malehi and Kimiya Gohari
    Citation: BMC Medical Informatics and Decision Making 2021 21:313
  12. Diagnosis-related groups (DRGs) are a payment system that could effectively solve the problem of excessive increases in healthcare costs which are applied as a principal measure in the healthcare reform in Chi...

    Authors: Xiaoting Liu, Chenhao Fang, Chao Wu, Jianxing Yu and Qi Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21:312
  13. The new International Classification of Diseases—11th revision (ICD-11) succeeds ICD-10. In the three decades since ICD-10 was released, demands for detailed information on the clinical history of a morbid pat...

    Authors: Saskia E. Drösler, Stefanie Weber and Christopher G. Chute
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 6):278

    This article is part of a Supplement: Volume 21 Supplement 6

  14. Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional informati...

    Authors: Muhammad Amith, Chidinma Onye, Tracey Ledoux, Grace Xiong and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):275

    This article is part of a Supplement: Volume 21 Supplement 7

  15. There are significant variabilities in guideline-concordant documentation in asthma care. However, assessing clinician’s documentation is not feasible using only structured data but requires labor-intensive ch...

    Authors: Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young Juhn and Sunghwan Sohn
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):272

    This article is part of a Supplement: Volume 21 Supplement 7

  16. As biomedical knowledge is rapidly evolving, concept enrichment of biomedical terminologies is an active research area involving automatic identification of missing or new concepts. Previously, we prototyped a...

    Authors: Fengbo Zheng, Rashmie Abeysinghe and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):234

    This article is part of a Supplement: Volume 21 Supplement 7

  17. The International Classification of Diseases (ICD) has long been the main basis for comparability of statistics on causes of mortality and morbidity between places and over time. This paper provides an overvie...

    Authors: James E. Harrison, Stefanie Weber, Robert Jakob and Christopher G. Chute
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 6):206

    This article is part of a Supplement: Volume 21 Supplement 6

  18. Interpretation of chest radiographs (CRs) by emergency department (ED) physicians is inferior to that by radiologists. Recent studies have investigated the effect of deep learning-based assistive technology on...

    Authors: Ji Hoon Kim, Sang Gil Han, Ara Cho, Hye Jung Shin and Song-Ee Baek
    Citation: BMC Medical Informatics and Decision Making 2021 21:311
  19. A subgroup of patients with asthma has been reported to have an increased risk for asthma-associated infectious and inflammatory multimorbidities (AIMs). To systematically investigate the association of asthma...

    Authors: Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu and Young J. Juhn
    Citation: BMC Medical Informatics and Decision Making 2021 21:310
  20. Disease-drug associations provide essential information for drug discovery and disease treatment. Many disease-drug associations remain unobserved or unknown, and trials to confirm these associations are time-...

    Authors: Pengwei Hu, Yu-an Huang, Jing Mei, Henry Leung, Zhan-heng Chen, Ze-min Kuang, Zhu-hong You and Lun Hu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):308

    This article is part of a Supplement: Volume 21 Supplement 1

  21. Medication reconciliation (MedRec), a process to reduce medication error at care transitions, is labour- and resource-intensive and time-consuming. Use of Personal Electronic Records of Medications (PERMs) in ...

    Authors: Catherine Waldron, Joan Cahill, Sam Cromie, Tim Delaney, Sean P. Kennelly, Joshua M. Pevnick and Tamasine Grimes
    Citation: BMC Medical Informatics and Decision Making 2021 21:307
  22. In resources constrained settings, effectively implemented Electronic Medical Record systems have numerous benefits over paper-based record keeping. This system was implemented in the 2009 Gregorian Calendar i...

    Authors: Alemayehu Bisrat, Dagne Minda, Bekalu Assamnew, Biruk Abebe and Teshome Abegaz
    Citation: BMC Medical Informatics and Decision Making 2021 21:306
  23. Early identification of the occurrence of arrhythmia in patients with acute myocardial infarction plays an essential role in clinical decision-making. The present study attempted to use machine learning (ML) m...

    Authors: Suhuai Wang, Jingjie Li, Lin Sun, Jianing Cai, Shihui Wang, Linwen Zeng and Shaoqing Sun
    Citation: BMC Medical Informatics and Decision Making 2021 21:301
  24. Accurately predicting which patients with chronic heart failure (CHF) are particularly vulnerable for adverse outcomes is of crucial importance to support clinical decision making. The goal of the current stud...

    Authors: Onno P. van der Galiën, René C. Hoekstra, Muhammed T. Gürgöze, Olivier C. Manintveld, Mark R. van den Bunt, Cor J. Veenman and Eric Boersma
    Citation: BMC Medical Informatics and Decision Making 2021 21:303
  25. Data quality assessment is important but complex and task dependent. Identifying suitable measurement methods and reference ranges for assessing their results is challenging. Manually inspecting the measuremen...

    Authors: Erik Tute, Nagarajan Ganapathy and Antje Wulff
    Citation: BMC Medical Informatics and Decision Making 2021 21:302
  26. Computer-aided diagnosis (CAD) systems based on medical images could support physicians in the decision-making process. During the last decades, researchers have proposed CAD systems in several medical domains...

    Authors: Giacomo Donato Cascarano, Francesco Saverio Debitonto, Ruggero Lemma, Antonio Brunetti, Domenico Buongiorno, Irio De Feudis, Andrea Guerriero, Umberto Venere, Silvia Matino, Maria Teresa Rocchetti, Michele Rossini, Francesco Pesce, Loreto Gesualdo and Vitoantonio Bevilacqua
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):300

    This article is part of a Supplement: Volume 21 Supplement 1

  27. Self-care and participation of patients in improving health and increasing awareness about the risk factors that affect the development of disease in patients with urinary tract stones are influential factors ...

    Authors: Leila Shahmoradi, Amin Azizpour, Mahmud Bejani, Pejman Shadpour and Sorayya Rezayi
    Citation: BMC Medical Informatics and Decision Making 2021 21:299
  28. Prediction of length of stay (LOS) at admission time can provide physicians and nurses insight into the illness severity of patients and aid them in avoiding adverse events and clinical deterioration. It also ...

    Authors: Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi and Uffe Kock Wiil
    Citation: BMC Medical Informatics and Decision Making 2021 21:298
  29. The use of general practice electronic health records (EHRs) for research purposes is in its infancy in Australia. Given these data were collected for clinical purposes, questions remain around data quality an...

    Authors: Sharmala Thuraisingam, Patty Chondros, Michelle M. Dowsey, Tim Spelman, Stephanie Garies, Peter F. Choong, Jane Gunn and Jo-Anne Manski-Nankervis
    Citation: BMC Medical Informatics and Decision Making 2021 21:297
  30. Healthcare organizations have begun to adopt personal health records (PHR) systems to engage patients, but little is known about factors associated with the adoption of PHR systems at an organizational level. ...

    Authors: Byung Kwan Choi, Young-Taek Park, Hyeoun-Ae Park, Chris Lane, Emmanuel C. Jo and Sunghong Kang
    Citation: BMC Medical Informatics and Decision Making 2021 21:296
  31. Occlusions of intravenous (IV) tubing can prevent vital and time-critical medication or solutions from being delivered into the bloodstream of patients receiving IV therapy. At low flow rates (≤ 1 ml/h) the al...

    Authors: Frank Doesburg, Roy Oelen, Maurits H. Renes, Pedro M. Lourenço, Daan J. Touw and Maarten W. Nijsten
    Citation: BMC Medical Informatics and Decision Making 2021 21:295
  32. Health systems globally are investing in integrating secure messaging platforms for virtual care in clinical practice. Implementation science is essential for adoption, scale-up, spread and maintenance of comp...

    Authors: Samia El Joueidi, Kevin Bardosh, Richard Musoke, Binyam Tilahun, Maryam Abo Moslim, Katie Gourlay, Alissa MacMullin, Victoria J. Cook, Melanie Murray, Gilbert Mbaraga, Sabin Nsanzimana and Richard Lester
    Citation: BMC Medical Informatics and Decision Making 2021 21:293
  33. One of the important components of the health system is the emergency medical services (EMS) system. The EMS system was implemented at Kerman University of Medical Sciences teaching hospitals to communicate th...

    Authors: Faezeh Afzali, Yunes Jahani, Fatemeh Bagheri and Reza khajouei
    Citation: BMC Medical Informatics and Decision Making 2021 21:292
  34. Undernutrition is the main cause of child death in developing countries. This paper aimed to explore the efficacy of machine learning (ML) approaches in predicting under-five undernutrition in Ethiopian admini...

    Authors: Haile Mekonnen Fenta, Temesgen Zewotir and Essey Kebede Muluneh
    Citation: BMC Medical Informatics and Decision Making 2021 21:291
  35. Some predictive systems using machine learning models have been developed to predict sepsis; however, they were mostly built with a low percent of missing values, which does not correspond with the actual clin...

    Authors: Yao-Yi Kuo, Shu-Tien Huang and Hung-Wen Chiu
    Citation: BMC Medical Informatics and Decision Making 2021 21:290
  36. To describe an automated method for assessment of the plausibility of continuous variables collected in the electronic health record (EHR) data for real world evidence research use.

    Authors: Hui Wang, Ilana Belitskaya-Levy, Fan Wu, Jennifer S. Lee, Mei-Chiung Shih, Philip S. Tsao and Ying Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21:289
  37. Early unplanned hospital readmissions are associated with increased harm to patients, increased medical costs, and negative hospital reputation. With the identification of at-risk patients, a crucial step towa...

    Authors: Yu-Tai Lo, Jay Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang and Cheng-Te Li
    Citation: BMC Medical Informatics and Decision Making 2021 21:288

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:73

  38. Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poo...

    Authors: Adisu Tafari Shama, Hirbo Shore Roba, Admas Abera Abaerei, Teferi Gebru Gebremeskel and Negga Baraki
    Citation: BMC Medical Informatics and Decision Making 2021 21:287
  39. Protection of privacy data published in the health care field is an important research field. The Health Insurance Portability and Accountability Act (HIPAA) in the USA is the current legislation for privacy p...

    Authors: Jie Su, Yi Cao, Yuehui Chen, Yahui Liu and Jinming Song
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):286

    This article is part of a Supplement: Volume 21 Supplement 1

  40. Strengthening surveillance systems to collect near-real-time case-based data plays a fundamental role in achieving malaria elimination in the Greater Mekong Subregion (GMS). With the advanced and widespread us...

    Authors: Win Han Oo, Kaung Myat Thu, Julia C. Cutts, Win Htike, Kyawt Mon Win, May Chan Oo, Naw Hkawng Galau, Paul A. Agius, Pyae Phyo Htoon, Ellen Kearney, Aung Thi, Ye Win Aung, Min Min Thein, Kathryn Rosecrans, Kyi Tun Lwin, Aung Kyi Min…
    Citation: BMC Medical Informatics and Decision Making 2021 21:285
  41. Charging according to disease is an important way to effectively promote the reform of medical insurance mechanism, reasonably allocate medical resources and reduce the burden of patients, and it is also an im...

    Authors: Li-Li Tong, Jin-Bo Gu, Jing-Jiao Li, Guang-Xuan Liu, Shuo-Wei Jin and Ai-Yun Yan
    Citation: BMC Medical Informatics and Decision Making 2021 21:284
  42. The liver is an important organ that undertakes the metabolic function of the human body. Liver cancer has become one of the cancers with the highest mortality. In clinic, it is an important work to extract th...

    Authors: Jiawei Wu, Shengqiang Zhou, Songlin Zuo, Yiyin Chen, Weiqin Sun, Jiang Luo, Jiantuan Duan, Hui Wang and Deguang Wang
    Citation: BMC Medical Informatics and Decision Making 2021 21:283
  43. A variety of smartphone apps and wearables are available both to help patients monitor their health and to support health care professionals (HCPs) in providing clinical care. As part of the RADAR-CNS consorti...

    Authors: J. A. Andrews, M. P. Craven, A. R. Lang, B. Guo, R. Morriss and C. Hollis
    Citation: BMC Medical Informatics and Decision Making 2021 21:282
  44. An Informatics Consult has been proposed in which clinicians request novel evidence from large scale health data resources, tailored to the treatment of a specific patient. However, the availability of such co...

    Authors: Alvina G. Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve Harris, Sylvia Richardson…
    Citation: BMC Medical Informatics and Decision Making 2021 21:281
  45. Lack of proper and timely patients' access to speech pathologists can affect the treatment and follow-up process; therefore, patients do not achieve the expected therapeutic goals. The aim of this study was to...

    Authors: Maryam Eslami Jahromi and Leila Ahmadian
    Citation: BMC Medical Informatics and Decision Making 2021 21:280
  46. The medication process is complex and error-prone. To avoid medication errors, a medication order should fulfil certain criteria, such as good readability and comprehensiveness. In this context, a computerized...

    Authors: Viktoria Jungreithmayr, Andreas D. Meid, Walter E. Haefeli and Hanna M. Seidling
    Citation: BMC Medical Informatics and Decision Making 2021 21:279
  47. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Joanna Dagard, Nadia Mazille-Orfanos, Nawras Georgi, Intissar Dechicha, Guy Carrault, Patrick Pladys and Alain Beuchée
    Citation: BMC Medical Informatics and Decision Making 2021 21:277

    The original article was published in BMC Medical Informatics and Decision Making 2021 21:269

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