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  1. 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

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  2. 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

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

  3. 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

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

  4. 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

  5. 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

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

  6. 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

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

  7. 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

  8. 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

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  9. 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

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  10. 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

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  11. 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

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  12. 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

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  13. 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

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  14. 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

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  15. 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

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  16. 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

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  17. 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

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  18. 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

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  19. 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

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  20. 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

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  21. 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

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

  22. 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

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  23. 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

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  24. 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

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  25. 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

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  26. 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

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  27. 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

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  28. 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

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  29. 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

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  30. 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

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  31. 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

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  32. 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

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  33. 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

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  34. 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

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  35. 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

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  36. 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

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  37. 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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  38. 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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  39. 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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  40. 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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  41. 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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  42. 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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  43. 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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  44. 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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  45. 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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  46. 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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  47. 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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  48. 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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  49. 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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