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  1. Laboratory indicator test results in electronic health records have been applied to many clinical big data analysis. However, it is quite common that the same laboratory examination item (i.e., lab indicator) ...

    Authors: Ming Liang, ZhiXing Zhang, JiaYing Zhang, Tong Ruan, Qi Ye and Ping He
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):331
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 14

  2. Ontologies are widely used throughout the biomedical domain. These ontologies formally represent the classes and relations assumed to exist within a domain. As scientific domains are deeply interlinked, so too...

    Authors: Luke T. Slater, Georgios V. Gkoutos and Robert Hoehndorf
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):311
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  3. Increased chloride in the context of intravenous fluid chloride load and serum chloride levels (hyperchloremia) have previously been associated with increased morbidity and mortality in select subpopulations o...

    Authors: Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto and Yuan Luo
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):302
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 14

  4. The breathing disorder obstructive sleep apnea syndrome (OSAS) only occurs while asleep. While polysomnography (PSG) represents the premiere standard for diagnosing OSAS, it is quite costly, complicated to use...

    Authors: Bin Ma, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Meihong Yang and Jingshan Huang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):298
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 14

  5. The increasing adoption of ontologies in biomedical research and the growing number of ontologies available have made it necessary to assure the quality of these resources. Most of the well-established ontolog...

    Authors: Francisco Abad-Navarro, Manuel Quesada-Martínez, Astrid Duque-Ramos and Jesualdo Tomás Fernández-Breis
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):284
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  6. The National Cancer Institute (NCI) Thesaurus provides reference terminology for NCI and other systems. Previously, we proposed a hybrid prototype utilizing lexical features and role definitions of concepts in...

    Authors: Fengbo Zheng, Rashmie Abeysinghe, Nicholas Sioutos, Lori Whiteman, Lyubov Remennik and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):273
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  7. Different from adult clinical stage I (CS1) testicular cancer, surveillance has been recommended for CS1 pediatric testicular cancer. However, among high-risk children, more than 50% suffer a relapse and progr...

    Authors: Yun-lin Ye, Zhuang-fei Chen, Jun Bian, Hai-tao Liang and Zi-ke Qin
    Citation: BMC Medical Informatics and Decision Making 2020 20:337
    Content type: Research article Published on:

  8. The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI).

    Authors: Ahmad Abujaber, Adam Fadlalla, Diala Gammoh, Husham Abdelrahman, Monira Mollazehi and Ayman El-Menyar
    Citation: BMC Medical Informatics and Decision Making 2020 20:336
    Content type: Research article Published on:

  9. Acute myocardial infarction (AMI) is a serious cardiovascular disease, followed by a high readmission rate within 30-days of discharge. Accurate prediction of AMI readmission is a crucial way to identify the h...

    Authors: Zhen Zhang, Hang Qiu, Weihao Li and Yucheng Chen
    Citation: BMC Medical Informatics and Decision Making 2020 20:335
    Content type: Research article Published on:

  10. Hormone therapy is one option for some types of prostate cancer. Shared decision making (SDM) is important in the decision making process, but SDM between prostate cancer patients receiving hormone therapy and...

    Authors: Kazuhiro Nakayama, Wakako Osaka, Nobuaki Matsubara, Tsutomu Takeuchi, Mayumi Toyoda, Noriyuki Ohtake and Hiroji Uemura
    Citation: BMC Medical Informatics and Decision Making 2020 20:334
    Content type: Research article Published on:

  11. In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semant...

    Authors: Zhe He, Cui Tao, Jiang Bian and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):315
    Content type: Introduction Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  12. Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new know...

    Authors: Anderson Rossanez, Julio Cesar dos Reis, Ricardo da Silva Torres and Hélène de Ribaupierre
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):314
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  13. To reduce cancer mortality and improve cancer outcomes, it is critical to understand the various cancer risk factors (RFs) across different domains (e.g., genetic, environmental, and behavioral risk factors) a...

    Authors: Hansi Zhang, Yi Guo, Mattia Prosperi and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):292
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  14. Semantic web technology has been applied widely in the biomedical informatics field. Large numbers of biomedical datasets are available online in the resource description framework (RDF) format. Semantic relat...

    Authors: Li Zhang, Jiamei Hu, Qianzhi Xu, Fang Li, Guozheng Rao and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):283
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  15. Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer. In this study, we ...

    Authors: Muhammad Amith, Rebecca Z. Lin, Licong Cui, Dennis Wang, Anna Zhu, Grace Xiong, Hua Xu, Kirk Roberts and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):259
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  16. Emotions after surviving cancer can be complicated. The survivors may have gained new strength to continue life, but some of them may begin to deal with complicated feelings and emotional stress due to trauma ...

    Authors: Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He and Xia Hu
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):254
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  17. Leveraging graphs for machine learning tasks can result in more expressive power as extra information is added to the data by explicitly encoding relations between entities. Knowledge graphs are multi-relation...

    Authors: Gilles Vandewiele, Bram Steenwinckel, Filip De Turck and Femke Ongenae
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):191
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  18. Treatment effect prediction (TEP) plays an important role in disease management by ensuring that the expected clinical outcomes are obtained after performing specialized and sophisticated treatments on patient...

    Authors: Jiebin Chu, Wei Dong, Jinliang Wang, Kunlun He and Zhengxing Huang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):139
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 4

  19. Statistical adjustment is often considered to control confounding bias in observational studies, especially case–control studies. However, different adjustment strategies may affect the estimation of odds rati...

    Authors: Ruohua Yan, Tianyi Liu, Yaguang Peng and Xiaoxia Peng
    Citation: BMC Medical Informatics and Decision Making 2020 20:333
    Content type: Research article Published on:

  20. Accurate prediction models for whether patients on the verge of a psychiatric criseis need hospitalization are lacking and machine learning methods may help improve the accuracy of psychiatric hospitalization ...

    Authors: Matthijs Blankers, Louk F. M. van der Post and Jack J. M. Dekker
    Citation: BMC Medical Informatics and Decision Making 2020 20:332
    Content type: Research article Published on:

  21. Healthcare is a rapidly expanding area of application for Artificial Intelligence (AI). Although there is considerable excitement about its potential, there are also substantial concerns about the negative imp...

    Authors: Emma K. Frost and Stacy M. Carter
    Citation: BMC Medical Informatics and Decision Making 2020 20:325
    Content type: Research article Published on:

  22. Home telemonitoring is a promising approach to optimizing outcomes for patients with Type 2 Diabetes; however, this care strategy has not been adapted for use with understudied and underserved Hispanic/Latinos...

    Authors: Renee Pekmezaris, Myia S. Williams, Briana Pascarelli, Kayla D. Finuf, Yael T. Harris, Alyson K. Myers, Tonya Taylor, Myriam Kline, Vidhi H. Patel, Lawrence M. Murray, Samy I. McFarlane, Karalyn Pappas, Martin L. Lesser, Amgad N. Makaryus, Sabrina Martinez, Andrjez Kozikowski…
    Citation: BMC Medical Informatics and Decision Making 2020 20:324
    Content type: Research article Published on:

  23. This is the first study on prognostication in an entire cohort of laboratory-confirmed COVID-19 patients in the city of Hong Kong. Prognostic tool is essential in the contingency response for the next wave of ...

    Authors: Eva L. H. Tsui, Carrie S. M. Lui, Pauline P. S. Woo, Alan T. L. Cheung, Peggo K. W. Lam, Van T. W. Tang, C. F. Yiu, C. H. Wan and Libby H. Y. Lee
    Citation: BMC Medical Informatics and Decision Making 2020 20:323
    Content type: Research article Published on:

  24. The aim of the study was to address the working population with an occupational stress prevention program using mHealth solution and encourage them for healthy lifestyle choices.

    Authors: Tomislav Jukic, Alojz Ihan, Vojko Strojnik, David Stubljar and Andrej Starc
    Citation: BMC Medical Informatics and Decision Making 2020 20:321
    Content type: Research article Published on:

  25. The impact of adjuvant chemotherapy or radiation therapy on the survival of patients with synovial sarcoma (SS), which is a rare soft-tissue sarcoma, remains controversial. Bayesian statistical approaches and ...

    Authors: Sung Wook Seo, Jisoo Kim, Jihye Son and Sungbin Lim
    Citation: BMC Medical Informatics and Decision Making 2020 20:320
    Content type: Technical advance Published on:

  26. Cognitive assessments represent the most common clinical routine for the diagnosis of Alzheimer’s Disease (AD). Given a large number of cognitive assessment tools and time-limited office visits, it is importan...

    Authors: Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen and Xia Ning
    Citation: BMC Medical Informatics and Decision Making 2020 20:319
    Content type: Research article Published on:

  27. Evidence-based practice, decision aids, patient preferences and autonomy preferences (AP) play an important role in making decisions with the patient. They are crucial in the process of a shared decision makin...

    Authors: Mareike Benecke, Jürgen Kasper, Christoph Heesen, Nina Schäffler and Daniel R. Reissmann
    Citation: BMC Medical Informatics and Decision Making 2020 20:318
    Content type: Research article Published on:

  28. Management of health data and its use for informed-decision making is a challenging health sector aspect in developing countries. Monitoring and evaluation of health interventions for meeting health-related Su...

    Authors: Brian Bongwong Tamfon, Chanceline Bilounga Ndongo, Serge Marcial Bataliack, Marie Nicole Ngoufack and Georges Nguefack-Tsague
    Citation: BMC Medical Informatics and Decision Making 2020 20:316
    Content type: Research article Published on:

  29. Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in ce...

    Authors: Julia Amann, Alessandro Blasimme, Effy Vayena, Dietmar Frey and Vince I. Madai
    Citation: BMC Medical Informatics and Decision Making 2020 20:310
    Content type: Research article Published on:

  30. The COVID-19 pandemic is a global public health emergency and experts emphasize the need for rapid and a high degree of communication and interaction between all parties, in order for critical research to be i...

    Authors: Njål Andersen, Jørgen G. Bramness and Ingunn Olea Lund
    Citation: BMC Medical Informatics and Decision Making 2020 20:309
    Content type: Research article Published on:

  31. Atrial fibrillation is a type of persistent arrhythmia that can lead to serious complications. Therefore, accurate and quick detection of atrial fibrillation by surface electrocardiogram has great importance o...

    Authors: Yusong Hu, Yantao Zhao, Jihong Liu, Jin Pang, Chen Zhang and Peizhe Li
    Citation: BMC Medical Informatics and Decision Making 2020 20:308
    Content type: Research article Published on:

  32. Exclusive breastfeeding for the first 6 months of life is the optimal way to feed infants. However, recent studies suggest that exclusive breastfeeding rates in China remain low and are well below the recommen...

    Authors: Li Tang, Andy H. Lee, Colin W. Binns, Lian Duan, Yi Liu and Chunrong Li
    Citation: BMC Medical Informatics and Decision Making 2020 20:300
    Content type: Study protocol Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:46

  33. Accurately predicting patient outcomes in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could aid patient management and allocation of healthcare resources. There are a variety of methods which ...

    Authors: Ahmed Abdulaal, Aatish Patel, Esmita Charani, Sarah Denny, Saleh A. Alqahtani, Gary W. Davies, Nabeela Mughal and Luke S. P. Moore
    Citation: BMC Medical Informatics and Decision Making 2020 20:299
    Content type: Research article Published on:

  34. Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which...

    Authors: Christian Gerdesköld, Eva Toth-Pal, Inger Wårdh, Gunnar H. Nilsson and Anna Nager
    Citation: BMC Medical Informatics and Decision Making 2020 20:294
    Content type: Research article Published on:

  35. The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure t...

    Authors: Milka Bochere Gesicho, Martin Chieng Were and Ankica Babic
    Citation: BMC Medical Informatics and Decision Making 2020 20:293
    Content type: Research article Published on:

  36. Akkermansia muciniphila is an anaerobic bacterium residing in the healthy intestinal tract of host and its quantity has a negative correlation with various host diseases. This study for the first time provides a ...

    Authors: Hojat Dehghanbanadaki, Hossein Aazami, Shahrbanoo Keshavarz Azizi Raftar, Fatemeh Ashrafian, Hanieh-Sadat Ejtahed, Ehsan Hashemi, Zahra Hoseini Tavassol, Sara Ahmadi Badi and Seyed Davar Siadat
    Citation: BMC Medical Informatics and Decision Making 2020 20:291
    Content type: Research article Published on:

  37. Given an increased global prevalence of complementary and alternative medicine (CAM) use, healthcare providers commonly seek CAM-related health information online. Numerous online resources containing CAM-spec...

    Authors: Jeremy Y. Ng, Vanessa Munford and Harmy Thakar
    Citation: BMC Medical Informatics and Decision Making 2020 20:290
    Content type: Research article Published on:

  38. Record linkage is the process of identifying and combining records about the same individual from two or more different datasets. While there are many open source and commercial data linkage tools, the volume ...

    Authors: George C. G. Barbosa, M. Sanni Ali, Bruno Araujo, Sandra Reis, Samila Sena, Maria Y. T. Ichihara, Julia Pescarini, Rosemeire L. Fiaccone, Leila D. Amorim, Robespierre Pita, Marcos E. Barreto, Liam Smeeth and Mauricio L. Barreto
    Citation: BMC Medical Informatics and Decision Making 2020 20:289
    Content type: Research article Published on:

  39. The use of statins for primary prevention of cardiovascular diseases is associated with different benefit and harm outcomes. The aime of this study is how important these outcomes are for people and what peopl...

    Authors: Hassan Saadati, Hamid Reza Baradaran, Goodarz Danaei, Afshin Ostovar, Farzad Hadaegh, Leila Janani, Ewout W. Steyerberg and Davood Khalili
    Citation: BMC Medical Informatics and Decision Making 2020 20:288
    Content type: Research article Published on:

  40. Acute kidney injury (AKI) is common in hospitalized patients and is associated with poor patient outcomes and high costs of care. The implementation of clinical decision support tools within electronic medical...

    Authors: Megan Howarth, Meha Bhatt, Eleanor Benterud, Anna Wolska, Evan Minty, Kyoo-Yoon Choi, Andrea Devrome, Tyrone G. Harrison, Barry Baylis, Elijah Dixon, Indraneel Datta, Neesh Pannu and Matthew T. James
    Citation: BMC Medical Informatics and Decision Making 2020 20:287
    Content type: Research article Published on:

  41. In Australia, health services are seeking innovative ways to utilize data stored in health information systems to report on, and improve, health care quality and health system performance for Aboriginal Austra...

    Authors: Nikki Percival, Priscilla Boucher, Kathleen Conte, Kate Robertson and Julie Cook
    Citation: BMC Medical Informatics and Decision Making 2020 20:286
    Content type: Research article Published on:

  42. A proposed computer aided detection (CAD) scheme faces major issues during subtle nodule recognition. However, radiologists have not noticed subtle nodules in beginning stage of lung cancer while a proposed CA...

    Authors: Kishore Rajagopalan and Suresh Babu
    Citation: BMC Medical Informatics and Decision Making 2020 20:282
    Content type: Technical advance Published on:

  43. Mobile health (mHealth) has good potential for promoting self-care in patients suffering from chronic diseases. The patients' positive attitude toward this technology is a key factor for the successful impleme...

    Authors: Ehsan Nabovati, Mehrdad Farzandipour, Marzieh Heidarzadeh Arani, Hossein Akbari, Reihane Sharif and Shima Anvari
    Citation: BMC Medical Informatics and Decision Making 2020 20:281
    Content type: Research article Published on:

  44. The broad adoption of electronic health records (EHRs) provides great opportunities to conduct health care research and solve various clinical problems in medicine. With recent advances and success, methods ba...

    Authors: Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan and Ping Zhang
    Citation: BMC Medical Informatics and Decision Making 2020 20:280
    Content type: Research article Published on:

  45. Current systematic reviews of randomized controlled trials suggest positive influences of mobile app-based health promotion programs on dietary and physical activity behaviors. However, the actual adoption of ...

    Authors: Paula Stehr, Veronika Karnowski and Constanze Rossmann
    Citation: BMC Medical Informatics and Decision Making 2020 20:279
    Content type: Research article Published on:

  46. The increased availability of patient reported outcome data makes it feasible to provide patients tailored risk information of cancer treatment side effects. However, it is unclear how such information influen...

    Authors: Ruben D. Vromans, Steffen C. Pauws, Nadine Bol, Lonneke V. van de Poll-Franse and Emiel J. Krahmer
    Citation: BMC Medical Informatics and Decision Making 2020 20:277
    Content type: Research article Published on:

  47. Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment c...

    Authors: Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman and Ritankar Das
    Citation: BMC Medical Informatics and Decision Making 2020 20:276
    Content type: Research article Published on:

  48. 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 Published on:

  49. 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 Published on:

  50. 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 Published on:
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BMC Medical Informatics and Decision Making

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