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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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

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

  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data...

    Authors: Maliha Sultana, Afrida Hossain, Fabiha Laila, Kazi Abu Taher and Muhammad Nazrul Islam
    Citation: BMC Medical Informatics and Decision Making 2020 20:256
  40. Clinical endpoint prediction remains challenging for health providers. Although predictors such as age, gender, and disease staging are of considerable predictive value, the accuracy often ranges between 60 an...

    Authors: Maliazurina Saad and Ik Hyun Lee
    Citation: BMC Medical Informatics and Decision Making 2020 20:255
  41. As technology continues to advance, the internet is becoming increasingly popular. Self-diagnosis and health information seeking online is growing more common and it will be important to understand the influen...

    Authors: Annabel Farnood, Bridget Johnston and Frances S. Mair
    Citation: BMC Medical Informatics and Decision Making 2020 20:253
  42. With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using onl...

    Authors: Divneet Mandair, Premanand Tiwari, Steven Simon, Kathryn L. Colborn and Michael A. Rosenberg
    Citation: BMC Medical Informatics and Decision Making 2020 20:252
  43. Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) make optimal clinical decisions. This study aimed to develop machine ...

    Authors: Guilan Kong, Ke Lin and Yonghua Hu
    Citation: BMC Medical Informatics and Decision Making 2020 20:251
  44. Computer Aided Diagnostics (CAD) can support medical practitioners to make critical decisions about their patients’ disease conditions. Practitioners require access to the chain of reasoning behind CAD to buil...

    Authors: Julian Hatwell, Mohamed Medhat Gaber and R. Muhammad Atif Azad
    Citation: BMC Medical Informatics and Decision Making 2020 20:250
  45. Fever is one of the most common symptoms of pediatric consultations and its mismanagement is a health care burden. Guidelines on fever management are incoherent and data on fever management are still missing. ...

    Authors: David Martin, Jana Wachtmeister, Kai Ludwigs and Ekkehart Jenetzky
    Citation: BMC Medical Informatics and Decision Making 2020 20:249
  46. While clinical entity recognition mostly aims at electronic health records (EHRs), there are also the demands of dealing with the other type of text data. Automatic medical diagnosis is an example of new appli...

    Authors: Young-Min Kim and Tae-Hoon Lee
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 7):242

    This article is part of a Supplement: Volume 20 Supplement 7

  47. The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.

    Authors: Wei Tse Li, Jiayan Ma, Neil Shende, Grant Castaneda, Jaideep Chakladar, Joseph C. Tsai, Lauren Apostol, Christine O. Honda, Jingyue Xu, Lindsay M. Wong, Tianyi Zhang, Abby Lee, Aditi Gnanasekar, Thomas K. Honda, Selena Z. Kuo, Michael Andrew Yu…
    Citation: BMC Medical Informatics and Decision Making 2020 20:247
  48. Modern healthcare devices can be connected to computer networks and many western healthcare institutions run those devices in networks. At the same time, cyber attacks are on the rise and there is evidence tha...

    Authors: Markus Willing, Christian Dresen, Uwe Haverkamp and Sebastian Schinzel
    Citation: BMC Medical Informatics and Decision Making 2020 20:246
  49. A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assumi...

    Authors: Daniel Adu-Gyamfi, Fengli Zhang and Albert Kofi Kwansah Ansah
    Citation: BMC Medical Informatics and Decision Making 2020 20:245

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