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  1. Persons with multiple sclerosis (MS) are confronted by an overwhelming amount of online health information, which can be valuable but also vary in quality and aim. Therefore, it is of great importance for deve...

    Authors: Anna Sippel, Karin Riemann-Lorenz, Jana Pöttgen, Renate Wiedemann, Karin Drixler, Eva Maria Bitzer, Christine Holmberg, Susanne Lezius and Christoph Heesen
    Citation: BMC Medical Informatics and Decision Making 2022 22:219
  2. The clinical practice of shared decision-making (SDM) has grown in importance. However, most studies on SDM practice concentrated on providing auxiliary knowledge from the third-party standpoint without consid...

    Authors: Kaibiao Lin, Yong Liu, Ping Lu, Yimin Yang, Haiting Fan and Feiping Hong
    Citation: BMC Medical Informatics and Decision Making 2022 22:218
  3. Primary care providers face challenges in recognizing and controlling hypertension in patients with chronic kidney disease (CKD). Clinical decision support (CDS) has the potential to aid clinicians in identify...

    Authors: Pamela M. Garabedian, Michael P. Gannon, Skye Aaron, Edward Wu, Zoe Burns and Lipika Samal
    Citation: BMC Medical Informatics and Decision Making 2022 22:217
  4. Developmental dysplasia of the hip (DDH) is a relatively common disorder in newborns, with a reported prevalence of 1–5 per 1000 births. It can lead to developmental abnormalities in terms of mechanical diffic...

    Authors: Mohammad Fraiwan, Noran Al-Kofahi, Ali Ibnian and Omar Hanatleh
    Citation: BMC Medical Informatics and Decision Making 2022 22:216
  5. Caregivers of children undergoing growth hormone treatment often face stress and stigma. In this regard, family-centered approaches are increasingly considered, wherein caregivers’ mental wellbeing is taken in...

    Authors: Sergio Cervera-Torres, Francisco José Núñez-Benjumea, Antonio de Arriba Muñoz, Irene Alice Chicchi Giglioli and Luis Fernández-Luque
    Citation: BMC Medical Informatics and Decision Making 2022 22:215
  6. Since the outbreak of COVID-19 pandemic in Rwanda, a vast amount of SARS-COV-2/COVID-19-related data have been collected including COVID-19 testing and hospital routine care data. Unfortunately, those data are...

    Authors: Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, Regine Mugeni, Muhammed Semakula, Joseph Nzabanita, Ignace Kabano, Annie Uwimana, Jean N. Utumatwishima, Jean Damascene Kabakambira, Annette Uwineza, Lars Halvorsen, Freija Descamps, Jared Houghtaling, Benjamin Burke, Odile Bahati…
    Citation: BMC Medical Informatics and Decision Making 2022 22:214
  7. With the growing impact of observational research studies, there is also a growing focus on data quality (DQ). As opposed to experimental study designs, observational research studies are performed using data ...

    Authors: Jonathan M. Mang, Susanne A. Seuchter, Christian Gulden, Stefanie Schild, Detlef Kraska, Hans-Ulrich Prokosch and Lorenz A. Kapsner
    Citation: BMC Medical Informatics and Decision Making 2022 22:213
  8. Among the problems caused by hypertension, early renal damage is often ignored. It can not be diagnosed until the condition is severe and irreversible damage occurs. So we decided to screen and explore related...

    Authors: Qiubo Bi, Zemin Kuang, E. Haihong, Meina Song, Ling Tan, Xinying Tang and Xing Liu
    Citation: BMC Medical Informatics and Decision Making 2022 22:212
  9. A human diagnostician may harbour a special bias towards favourable positive or negative test results. The aim of the present analysis is to describe in quantitative terms how bias can affect the test characte...

    Authors: Amnon Sonnenberg
    Citation: BMC Medical Informatics and Decision Making 2022 22:211
  10. While various quantitative studies based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Models (TAM) exist in the general medical sectors, just a few have been cond...

    Authors: Sooyoung Yoo, Kahyun Lim, Se Young Jung, Keehyuck Lee, Donghyun Lee, Seok Kim, Ho-Young Lee and Hee Hwang
    Citation: BMC Medical Informatics and Decision Making 2022 22:210
  11. Major depressive disorder (MDD) is a common mental illness, characterized by persistent depression, sadness, despair, etc., troubling people’s daily life and work seriously.

    Authors: Yujie Li, Yingshan Shen, Xiaomao Fan, Xingxian Huang, Haibo Yu, Gansen Zhao and Wenjun Ma
    Citation: BMC Medical Informatics and Decision Making 2022 22:209
  12. Chemoprevention with anti-estrogens, such as tamoxifen, raloxifene or aromatase inhibitors, have been shown to reduce breast cancer risk in randomized controlled trials; however, uptake among women at high-ris...

    Authors: Tarsha Jones, Thomas Silverman, Ashlee Guzman, Julia E. McGuinness, Meghna S. Trivedi, Rita Kukafka and Katherine D. Crew
    Citation: BMC Medical Informatics and Decision Making 2022 22:208
  13. The COVID-19 pandemic has prompted the decrease of in-person visits to reduce the risk of virus transmission. Telemedicine is an efficient communication tool employed between healthcare providers and patients ...

    Authors: Racha Ftouni, Baraa AlJardali, Maya Hamdanieh, Louna Ftouni and Nariman Salem
    Citation: BMC Medical Informatics and Decision Making 2022 22:207
  14. Peripheral artery disease (PAD) is a cardiovascular disease that can be improved by risk factor modification. Mobile health (mHealth) intervention is an effective method of healthcare delivery to promote behav...

    Authors: Mihui Kim, Yesol Kim and Mona Choi
    Citation: BMC Medical Informatics and Decision Making 2022 22:206
  15. Kidney disease progression rates vary among patients. Rapid and accurate prediction of kidney disease outcomes is crucial for disease management. In recent years, various prediction models using Machine Learni...

    Authors: Nuo Lei, Xianlong Zhang, Mengting Wei, Beini Lao, Xueyi Xu, Min Zhang, Huifen Chen, Yanmin Xu, Bingqing Xia, Dingjun Zhang, Chendi Dong, Lizhe Fu, Fang Tang and Yifan Wu
    Citation: BMC Medical Informatics and Decision Making 2022 22:205
  16. NHS Digital issued new guidance on sepsis coding in April 2017 which was further modified in April 2018. During these timeframes some centres reported increased sepsis associated mortality, whilst others repor...

    Authors: Catherine Atkin, Tanya Pankhurst, David McNulty, Ann Keogh, Suzy Gallier, Domenico Pagano, Elizabeth Sapey and Simon Ball
    Citation: BMC Medical Informatics and Decision Making 2022 22:204
  17. Traumatic Brain Injury (TBI) is a common condition with potentially severe long-term complications, the prediction of which remains challenging. Machine learning (ML) methods have been used previously to help ...

    Authors: Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak and Kayvan Najarian
    Citation: BMC Medical Informatics and Decision Making 2022 22:203
  18. Women’s mobile health (m-health) applications are currently widely used for health education, medication, prevention of illness, etcetera. However, women are extremely sensitive to their design. While the numb...

    Authors: Chalermpon Kongjit, Acrapol Nimmolrat and Achara Khamaksorn
    Citation: BMC Medical Informatics and Decision Making 2022 22:202
  19. Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical knowledge graph, decision-making support, and question answering system...

    Authors: Shuli Guo, Wentao Yang, Lina Han, Xiaowei Song and Guowei Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:201
  20. Given the increasing number of people suffering from tinnitus, the accurate categorization of patients with actionable reports is attractive in assisting clinical decision making. However, this process require...

    Authors: Jia Li, Yucong Lin, Pengfei Zhao, Wenjuan Liu, Linkun Cai, Jing Sun, Lei Zhao, Zhenghan Yang, Hong Song, Han Lv and Zhenchang Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:200
  21. Pharmacists are frequent users of mobile medical apps (MMA) for drug information (DI) and clinical decision-making purposes. However, the wide range of available MMA may be of variable credibility and results ...

    Authors: Boon Phiaw Kho, Sheng Ming Andy Wong, Jin Wei Timothy Chiu and Eon Liew
    Citation: BMC Medical Informatics and Decision Making 2022 22:199
  22. Clinical phenotype information greatly facilitates genetic diagnostic interpretations pipelines in disease. While post-hoc extraction using natural language processing on unstructured clinical notes continues ...

    Authors: James M. Havrilla, Anbumalar Singaravelu, Dennis M. Driscoll, Leonard Minkovsky, Ingo Helbig, Livija Medne, Kai Wang, Ian Krantz and Bimal R. Desai
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):198

    This article is part of a Supplement: Volume 22 Supplement 2

  23. Parents who have to make tracheostomy decisions for their critically ill child may face forecasting errors and wish to learn from peer parents. We sought to develop an intervention with peer parent narratives ...

    Authors: Haoyang Yan, Stephanie K. Kukora, Kenneth Pituch, Patricia J. Deldin, Cynthia Arslanian-Engoren and Brian J. Zikmund-Fisher
    Citation: BMC Medical Informatics and Decision Making 2022 22:197
  24. Heart failure is a clinical syndrome characterised by a reduced ability of the heart to pump blood. Patients with heart failure have a high mortality rate, and physicians need reliable prognostic predictions t...

    Authors: Casper Wilstrup and Chris Cave
    Citation: BMC Medical Informatics and Decision Making 2022 22:196
  25. Breast cancer-related lymphedema is one of the most important complications that adversely affect patients' quality of life. Lymphedema can be managed if its risk factors are known and can be modified. This st...

    Authors: Anaram Yaghoobi Notash, Aidin Yaghoobi Notash, Zahra Omidi and Shahpar Haghighat
    Citation: BMC Medical Informatics and Decision Making 2022 22:195
  26. Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet been used for COVID-19 prediction. We deve...

    Authors: M. Pishgar, S. Harford, J. Theis, W. Galanter, J. M. Rodríguez-Fernández, L. H Chaisson, Y. Zhang, A. Trotter, K. M. Kochendorfer, A. Boppana and H. Darabi
    Citation: BMC Medical Informatics and Decision Making 2022 22:194
  27. With the rapid development of online health communities (OHCs), an increasing number of physicians provide services in OHCs that enable patients to consult online in China. However, it is difficult for patient...

    Authors: Zhengwei Huang, Chen Duan, Yanni Yang and Ribesh Khanal
    Citation: BMC Medical Informatics and Decision Making 2022 22:193
  28. Due to the high mortality of COVID-19 patients, the use of a high-precision classification model of patient’s mortality that is also interpretable, could help reduce mortality and take appropriate action urgen...

    Authors: Samad Moslehi, Niloofar Rabiei, Ali Reza Soltanian and Mojgan Mamani
    Citation: BMC Medical Informatics and Decision Making 2022 22:192
  29. Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population. When searchin...

    Authors: Jahir Uddin Palas, Golam Sorwar, Md Rakibul Hoque and Achchuthan Sivabalan
    Citation: BMC Medical Informatics and Decision Making 2022 22:191
  30. Patient subgroups are important for easily understanding a disease and for providing precise yet personalized treatment through multiple omics dataset integration. Multiomics datasets are produced daily. Thus,...

    Authors: Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang and Hongmin Cai
    Citation: BMC Medical Informatics and Decision Making 2022 22:190
  31. With the help of digital tools patients’ medical histories can be collected quickly and transferred into their electronic medical records. This information can facilitate treatment planning, reduce documentati...

    Authors: Klara Albrink, Carla Joos, Dominik Schröder, Frank Müller, Eva Hummers and Eva Maria Noack
    Citation: BMC Medical Informatics and Decision Making 2022 22:189
  32. Authors: Vanesa Ramos-García, Lilisbeth Perestelo-Pérez, Amado Rivero-Santana, Wenceslao Peñate-Castro, Andrea Duarte-Díaz, Yolanda Álvarez-Pérez, María del Mar Trujillo-Martín, María Isabel del Cura-González and Pedro Serrano-Aguilar
    Citation: BMC Medical Informatics and Decision Making 2022 22:188

    The original article was published in BMC Medical Informatics and Decision Making 2022 22:171

  33. COVID-19 caused more than 622 thousand deaths in Brazil. The infection can be asymptomatic and cause mild symptoms, but it also can evolve into a severe disease and lead to death. It is difficult to predict wh...

    Authors: Davi Silva Rodrigues, Ana Catharina S. Nastri, Marcello M. Magri, Maura Salaroli de Oliveira, Ester C. Sabino, Pedro H. M. F. Figueiredo, Anna S. Levin, Maristela P. Freire, Leila S. Harima, Fátima L. S. Nunes and João Eduardo Ferreira
    Citation: BMC Medical Informatics and Decision Making 2022 22:187
  34. Agile projects are statistically more likely to succeed then waterfall projects. The overall aim of this study was to explore the nursing staffs’ experiences with an agile development process, from its initial re...

    Authors: Sofi Nordmark, Inger Lindberg and Karin Zingmark
    Citation: BMC Medical Informatics and Decision Making 2022 22:186
  35. There is increasing interest in incorporating clinical decision support (CDS) into electronic healthcare records (EHR). Successful implementation of CDS systems depends on acceptance of them by healthcare work...

    Authors: Wim Van Biesen, Daan Van Cauwenberge, Johan Decruyenaere, Tamara Leune and Sigrid Sterckx
    Citation: BMC Medical Informatics and Decision Making 2022 22:185
  36. Data collected during routine health care and ensuing analytical results bear the potential to provide valuable information to improve the overall health care of patients. However, little is known about how pa...

    Authors: Sybille Roschka, Torsten Leddig, Mandy Bullerjahn, Gesine Richter, Wenke Liedtke, Martin Langanke and Wolfgang Hoffmann
    Citation: BMC Medical Informatics and Decision Making 2022 22:184
  37. Evaluating patients’ experiences is essential when incorporating the patients’ perspective in improving healthcare. Experiences are mainly collected using closed-ended questions, although the value of open-end...

    Authors: Marieke M. van Buchem, Olaf M. Neve, Ilse M. J. Kant, Ewout W. Steyerberg, Hileen Boosman and Erik F. Hensen
    Citation: BMC Medical Informatics and Decision Making 2022 22:183
  38. The application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerge...

    Authors: Wona Choi, Se-Hyun Chang, Yoon-Sik Yang, Surin Jung, Seo-Joon Lee, Ji-Won Chun, Dai-Jin Kim, Woonjeong Lee and In Young Choi
    Citation: BMC Medical Informatics and Decision Making 2022 22:182
  39. Predicting treatment outcome in major depressive disorder (MDD) remains an essential challenge for precision psychiatry. Clinical prediction models (CPMs) based on supervised machine learning have been a promi...

    Authors: Nicolas Rost, Tanja M. Brückl, Nikolaos Koutsouleris, Elisabeth B. Binder and Bertram Müller-Myhsok
    Citation: BMC Medical Informatics and Decision Making 2022 22:181
  40. Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the ...

    Authors: Mohsen Shafiee, Mohammad Mahboubi, Mostafa Shanbehzadeh and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2022 22:180
  41. Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effect...

    Authors: Esha Singh, Anu Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 1):153

    This article is part of a Supplement: Volume 22 Supplement 1

  42. Since no effective therapies exist for Alzheimer’s disease (AD), prevention has become more critical through lifestyle status changes and interventions. Analyzing electronic health records (EHRs) of patients w...

    Authors: Zitao Shen, Dalton Schutte, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 1):88

    This article is part of a Supplement: Volume 22 Supplement 1

  43. Our aim was to develop a machine learning model, using real-world data captured from a connected auto-injector device and from early indicators from the first 3 months of treatment, to predict sub-optimal adhe...

    Authors: Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni and Ekaterina Koledova
    Citation: BMC Medical Informatics and Decision Making 2022 22:179
  44. The emergency department has been a major focus for the implementation of Australia’s national electronic health record, known as My Health Record. However, the association between use of My Health Record in t...

    Authors: Alexandra Mullins, Renee O’Donnell, Heather Morris, Michael Ben-Meir, Kostas Hatzikiriakidis, Lisa Brichko and Helen Skouteris
    Citation: BMC Medical Informatics and Decision Making 2022 22:178
  45. To support appropriate prescribing hospital-wide, the ‘Check of Medication Appropriateness’ (CMA) service was implemented at the University Hospitals Leuven. The CMA concerns a clinical rule based and pharmaci...

    Authors: Charlotte Quintens, Willy E. Peetermans, Lorenz Van der Linden, Peter Declercq, Bart Van den Bosch and Isabel Spriet
    Citation: BMC Medical Informatics and Decision Making 2022 22:177
  46. Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver ca...

    Authors: Chen Chen, Cheng Chen, Mingrui Ma, Xiaojian Ma, Xiaoyi Lv, Xiaogang Dong, Ziwei Yan, Min Zhu and Jiajia Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:176
  47. Insightful feedback generation for daily home-based stroke rehabilitation is currently unavailable due to the inefficiency of exercise inspection done by therapists. We aim to produce a compact anomaly represe...

    Authors: Prayook Jatesiktat, Guan Ming Lim, Christopher Wee Keong Kuah, Dollaporn Anopas and Wei Tech Ang
    Citation: BMC Medical Informatics and Decision Making 2022 22:175
  48. People live a long time in pre-diabetes/early diabetes without a formal diagnosis or management. Heterogeneity of progression coupled with deficiencies in electronic health records related to incomplete data, ...

    Authors: Xiaoxia Wang, Yifei Lin, Yun Xiong, Suhua Zhang, Yanming He, Yuqing He, Zhikun Zhang, Joseph M. Plasek, Li Zhou, David W. Bates and Chunlei Tang
    Citation: BMC Medical Informatics and Decision Making 2022 22:174
  49. Gestational Trophoblastic Disease (GTD) comprises pathological forms of placental trophoblastic tissue proliferation. When benign, they present with hydatidiform moles, and when malignant, they are called Gest...

    Authors: Jaqueline Martins, Paulo Bandiera-Paiva, Antonio Rodrigues Braga Neto, Lucas Ribeiro Borges de Carvalho, Lúcio Padrini-Andrade, Vitor Tonini Machado, Antônio Carlos da Silva Junior and Sue Yazaki Sun
    Citation: BMC Medical Informatics and Decision Making 2022 22:173
  50. Traditional medicine (TM) is practiced in various forms in over 180 countries. Despite this, health information systems on TM are limited. Consistent with this, the World Health Organization’s (WHO) internatio...

    Authors: Bill Reddy and Arthur Yin Fan
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):381

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

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