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  1. Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality dat...

    Authors: Georges Nguefack-Tsague, Brian Bongwong Tamfon, Ismael Ngnie-Teta, Marie Nicole Ngoufack, Basile Keugoung, Serge Marcial Bataliack and Chanceline Bilounga Ndongo

    Citation: BMC Medical Informatics and Decision Making 2020 20:339

    Content type: Research article

    Published on:

  2. 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

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

  3. Pneumothorax (PTX) may cause a life-threatening medical emergency with cardio-respiratory collapse that requires immediate intervention and rapid treatment. The screening and diagnosis of pneumothorax usually ...

    Authors: Qingfeng Wang, Qiyu Liu, Guoting Luo, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu and Jie-Zhi Cheng

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):317

    Content type: Research

    Published on:

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

  4. A various number of imaging modalities are available (e.g., magnetic resonance, x-ray, ultrasound, and biopsy) where each modality can reveal different structural aspects of tissues. However, the analysis of h...

    Authors: Sadiq Alinsaif and Jochen Lang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):312

    Content type: Research

    Published on:

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

  5. 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

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

  6. Automated summarization of scientific literature and patient records is essential for enhancing clinical decision-making and facilitating precision medicine. Most existing summarization methods are based on si...

    Authors: Eva K. Lee and Karan Uppal

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):306

    Content type: Research

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

  7. Ontologies house various kinds of domain knowledge in formal structures, primarily in the form of concepts and the associative relationships between them. Ontologies have become integral components of many hea...

    Authors: Ling Zheng, Yan Chen, Hua Min, P. Lloyd Hildebrand, Hao Liu, Michael Halper, James Geller, Sherri de Coronado and Yehoshua Perl

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):305

    Content type: Research

    Published on:

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

  8. It is significant to model clinical activities for process mining, which assists in improving medical service quality. However, current process mining studies in healthcare pay more attention to the control fl...

    Authors: Haifeng Xu, Jianfei Pang, Xi Yang, Jinghui Yu, Xuemeng Li and Dongsheng Zhao

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):303

    Content type: Research

    Published on:

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

  9. 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

  10. Biological and biomedical ontologies and terminologies are used to organize and store various domain-specific knowledge to provide standardization of terminology usage and to improve interoperability. The grow...

    Authors: Ankur Agrawal and Licong Cui

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):301

    Content type: Introduction

    Published on:

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

  11. 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

  12. Medical image data, like most patient information, have a strong requirement for privacy and confidentiality. This makes transmitting medical image data, within an open network, problematic, due to the aforeme...

    Authors: Jian Li, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Bin Ma, Meihong Yang and Jingshan Huang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):297

    Content type: Research

    Published on:

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

  13. Summarization networks are compact summaries of ontologies. The “Big Picture” view offered by summarization networks enables to identify sets of concepts that are more likely to have errors than control concep...

    Authors: Ling Zheng, Hua Min, Yan Chen, Vipina Keloth, James Geller, Yehoshua Perl and George Hripcsak

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):296

    Content type: Research

    Published on:

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

  14. 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

  15. Patients benefit from access to their medical records. However, clinical notes and letters are often difficult to comprehend for most lay people. Therefore, functionality was implemented in the patient portal ...

    Authors: Hugo J. T. van Mens, Mirte M. van Eysden, Remko Nienhuis, Johannes J. M. van Delden, Nicolette F. de Keizer and Ronald Cornet

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):278

    Content type: Research

    Published on:

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

  16. 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

  17. While enrichment of terminologies can be achieved in different ways, filling gaps in the IS-A hierarchy backbone of a terminology appears especially promising. To avoid difficult manual inspection, we started ...

    Authors: Vipina K. Keloth, James Geller, Yan Chen and Julia Xu

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):272

    Content type: Research

    Published on:

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

  18. The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis...

    Authors: Shiqiang Tao, Ningzhou Zeng, Isaac Hands, Joseph Hurt-Mueller, Eric B. Durbin, Licong Cui and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):271

    Content type: Research

    Published on:

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

  19. Dyadic-based social networks analyses have been effective in a variety of behavioral- and health-related research areas. We introduce an ontology-driven approach towards social network analysis through encodin...

    Authors: Muhammad Amith, Kayo Fujimoto, Rebecca Mauldin and Cui Tao

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):269

    Content type: Research

    Published on:

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

  20. 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:

  21. 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:

  22. 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:

  23. 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:

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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:

  33. 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:

  34. 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:

  35. 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:

  36. 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:

  37. 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:

  38. 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:

  39. 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:

  40. 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:

  41. 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:

  42. 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:

  43. 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:

  44. 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:

  45. 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

  46. 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:

  47. 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:

  48. 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:

  49. 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:

  50. 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:

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