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665 result(s) for '2022' within BMC Medical Informatics and Decision Making

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  1. The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population agi...

    Authors: Azita Yazdani, Mostafa Shanbehzadeh and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2023 23:229
    Content type: Research Published on:

  2. 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
    Content type: Research Published on:

  3. Multiple sclerosis (MS) is one of the most common neurological disorders worldwide, and self-management is considered an essential dimension in its control. This study aimed to develop an evidence-based mobile...

    Authors: Zeinab Salimzadeh, Shahla Damanabi, Reza Ferdousi, Sheida Shaafi and Leila R. Kalankesh
    Citation: BMC Medical Informatics and Decision Making 2022 22:328
    Content type: Research Published on:

  4. The diagnosis of cardiac abnormalities based on heart sound signal is a research hotspot in recent years. The early diagnosis of cardiac abnormalities has a crucial significance for the treatment of heart dise...

    Authors: Wanrong Yang, Jiajie Xu, Junhong Xiang, Zhonghong Yan, Hengyu Zhou, Binbin Wen, Hai Kong, Rui Zhu and Wang Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:230
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2023 23:281

  5. Deep learning (DL) models are highly vulnerable to adversarial attacks for medical image classification. An adversary could modify the input data in imperceptible ways such that a model could be tricked to pre...

    Authors: David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan and Yufei Huang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):160
    Content type: Research Published on:

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

  6. The pivot and cluster strategy (PCS) is a diagnostic reasoning strategy that automatically elicits disease clusters similar to a differential diagnosis in a batch. Although physicians know empirically which di...

    Authors: Daiki Yokokawa, Kazutaka Noda, Yasutaka Yanagita, Takanori Uehara, Yoshiyuki Ohira, Kiyoshi Shikino, Tomoko Tsukamoto and Masatomi Ikusaka
    Citation: BMC Medical Informatics and Decision Making 2022 22:322
    Content type: Research Published on:

  7. Hospital readmissions for pneumonia are a growing concern in the US, with significant consequences for costs and quality of care. This study developed the rule-based model and other machine learning (ML) model...

    Authors: Yinan Huang, Ashna Talwar, Ying Lin and Rajender R. Aparasu
    Citation: BMC Medical Informatics and Decision Making 2022 22:288
    Content type: Research Published on:

  8. Fragile X syndrome (FXS), the most common inherited cause of intellectual disability and autism, is significantly underdiagnosed in the general population. Diagnosing FXS is challenging due to the heterogeneit...

    Authors: Arezoo Movaghar, David Page, Murray Brilliant and Marsha Mailick
    Citation: BMC Medical Informatics and Decision Making 2022 22:152
    Content type: Research Published on:

  10. An electronic prescription system is a mechanism that has long been implemented in many countries around the world. In the present study, we reviewed the requirements, standards, and features of an electronic ...

    Authors: Marjan Vejdani, Mehdi Varmaghani, Marziyhe Meraji, Jamshid Jamali, Elaheh Hooshmand and Ali Vafaee-Najar
    Citation: BMC Medical Informatics and Decision Making 2022 22:231
    Content type: Research Published on:

  11. Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs ...

    Authors: Gavin T. Kress, Fion Chan, Claudia A. Garcia and Warren S. Merrifield
    Citation: BMC Medical Informatics and Decision Making 2022 22:290
    Content type: Research Published on:

  12. Machine learning (ML) algorithms have been trained to early predict critical in-hospital events from COVID-19 using patient data at admission, but little is known on how their performance compares with each ot...

    Authors: Aaron W. Sievering, Peter Wohlmuth, Nele Geßler, Melanie A. Gunawardene, Klaus Herrlinger, Berthold Bein, Dirk Arnold, Martin Bergmann, Lorenz Nowak, Christian Gloeckner, Ina Koch, Martin Bachmann, Christoph U. Herborn and Axel Stang
    Citation: BMC Medical Informatics and Decision Making 2022 22:309
    Content type: Research Published on:

  13. People with moderate to severe depression in pregnancy must weigh potential risks of untreated or incompletely treated depression against the small, but uncertain risks of fetal antidepressant drug exposure. C...

    Authors: Neesha Hussain-Shamsy, Sarah Somerton, Donna E. Stewart, Sophie Grigoriadis, Kelly Metcalfe, Tim F. Oberlander, Carrie Schram, Valerie H. Taylor, Cindy-Lee Dennis and Simone N. Vigod
    Citation: BMC Medical Informatics and Decision Making 2022 22:130
    Content type: Research Published on:

  14. Menopause is a normal transition in a woman’s life. For some women, it is a stage without significant difficulties; for others, menopause symptoms can severely affect their quality of life. This study develope...

    Authors: Anh N.Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman and Sue Ross
    Citation: BMC Medical Informatics and Decision Making 2023 23:202
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2023 23:233

  15. Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled ...

    Authors: Chunming Yang, Dan Xiao, Yuanyuan Luo, Bo Li, Xujian Zhao and Hui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:169
    Content type: Research Published on:

  16. This study aimed to explore whether explainable Artificial Intelligence methods can be fruitfully used to improve the medical management of patients suffering from complex diseases, and in particular to predic...

    Authors: Alessio Bottrighi, Marzio Pennisi, Annalisa Roveta, Costanza Massarino, Antonella Cassinari, Marta Betti, Tatiana Bolgeo, Marinella Bertolotti, Emanuele Rava and Antonio Maconi
    Citation: BMC Medical Informatics and Decision Making 2022 22:340
    Content type: Research Published on:

  17. 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
    Content type: Research Published on:

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

  18. Numerous people never receive a formal dementia diagnosis. This issue can be addressed by early detection systems that utilize alternative forms of classification, such as gait, balance, and sensory function p...

    Authors: Emilija Kostic, Kiyoung Kwak and Dongwook Kim
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 5):252
    Content type: Research Published on:

    This article is part of a Supplement: Volume 22 Supplement 5

  19. Prediction tools for various intraoperative bleeding events remain scarce. We aim to develop machine learning-based models and identify the most important predictors by real-world data from electronic medical ...

    Authors: Ying Shi, Guangming Zhang, Chiye Ma, Jiading Xu, Kejia Xu, Wenyi Zhang, Jianren Wu and Liling Xu
    Citation: BMC Medical Informatics and Decision Making 2023 23:156
    Content type: Research Published on:

  20. Gastric cancer is the most common malignant tumor worldwide and a leading cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes. Survivability prediction may help select the bes...

    Authors: Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2023 23:54
    Content type: Research Published on:

  22. Clinical decision support systems (CDSS) have been shown to reduce medication errors. However, they are underused because of different challenges. One approach to improve CDSS is to use ontologies instead of r...

    Authors: Elena Calvo-Cidoncha, Concepción Camacho-Hernando, Faust Feu, Xavier Pastor-Duran, Carles Codina-Jané and Raimundo Lozano-Rubí
    Citation: BMC Medical Informatics and Decision Making 2022 22:238
    Content type: Research Published on:

  23. Lack of attention to end-users' requirements and preferences may lead to the failure of health information technology (IT) interventions. Identifying users’ needs for designing a mobile application can lead to...

    Authors: Fatemeh Falahati-Marvast, Andrew D. Pucker, Fateme Alipour, Jamileh Farokhzadian and Leila Ahmadian
    Citation: BMC Medical Informatics and Decision Making 2022 22:164
    Content type: Research Published on:

  24. Usability is a key factor affecting the acceptance of mobile health applications (mHealth apps) for elderly individuals, but traditional usability evaluation methods may not be suitable for use in this populat...

    Authors: Qiuyi Wang, Jing Liu, Lanshu Zhou, Jing Tian, Xuemei Chen, Wei Zhang, He Wang, Wanqiong Zhou and Yitian Gao
    Citation: BMC Medical Informatics and Decision Making 2022 22:317
    Content type: Research Published on:

  25. Electronic Health Records (EHR) has been espoused to be an innovation from the paper-based system, with benefits such as fast access to patient information thereby facilitating healthcare provider communicatio...

    Authors: Priscilla Y. A. Attafuah, Patience Aseweh Abor, Aaron Asibi Abuosi, Edward Nketiah-Amponsah and Immaculate Sabelile Tenza
    Citation: BMC Medical Informatics and Decision Making 2022 22:249
    Content type: Research Published on:

  26. 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
    Content type: Research Published on:

  27. Assessment and feedback is a common implementation strategy to improve healthcare provider fidelity to clinical guidelines. For immunization guidelines, fidelity is often measured with doses administered durin...

    Authors: Rachel S. Chang, Jaimie Z. Shing, Jennifer C. Erves, Liping Du, Tatsuki Koyama, Stephen Deppen, Alyssa B. Rentuza, Caree McAfee, Christine Stroebel, Janet Cates, Lora Harnack, David Andrews, Robert Bramblett and Pamela C. Hull
    Citation: BMC Medical Informatics and Decision Making 2022 22:339
    Content type: Research Published on:

  28. Censorship is the primary challenge in survival modeling, especially in human health studies. The classical methods have been limited by applications like Kaplan–Meier or restricted assumptions like the Cox re...

    Authors: Ali Sheidaei, Abbas Rahimi Foroushani, Kimiya Gohari and Hojjat Zeraati
    Citation: BMC Medical Informatics and Decision Making 2022 22:251
    Content type: Research Published on:

  29. 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
    Content type: Research Published on:

  30. 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
    Content type: Research Published on:

  31. Clinical trial protocols are the foundation for advancing medical sciences, however, the extraction of accurate and meaningful information from the original clinical trials is very challenging due to the compl...

    Authors: Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor Lobanov, Chunhua Weng and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 3):235
    Content type: Research Published on:

    This article is part of a Supplement: Volume 22 Supplement 3

  32. Research shows that people with stable angina need decision support when considering elective treatments. Initial treatment is with medicines but patients may gain further benefit with invasive percutaneous co...

    Authors: Emma Harris, Dwayne Conway, Angel Jimenez-Aranda, Jeremy Butts, Philippa Hedley-Takhar, Richard Thomson and Felicity Astin
    Citation: BMC Medical Informatics and Decision Making 2022 22:143
    Content type: Research Published on:

  33. Nowadays, patients have access to all types of health information on the internet, influencing their decision-making process. The Middle East and North Africa (MENA) region consists of 22 countries with an est...

    Authors: Zahraa Jasem, Zainab AlMeraj and Dari Alhuwail
    Citation: BMC Medical Informatics and Decision Making 2022 22:126
    Content type: Research Published on:

  34. A disease severity classification system is widely used to predict the survival of patients admitted to the intensive care unit with different diagnoses. In the present study, conventional severity classificat...

    Authors: Farzad Mirzakhani, Farahnaz Sadoughi, Mahboobeh Hatami and Alireza Amirabadizadeh
    Citation: BMC Medical Informatics and Decision Making 2022 22:167
    Content type: Research Published on:

  35. Shared decision-making is the gold standard for good clinical practice, and thus, psychometric instruments have been established to assess patients’ generic preference for participation (e.g., the Autonomy Pre...

    Authors: Björn Büdenbender, Anja K. Köther, Maximilian C. Kriegmair, Britta Grüne, Maurice S. Michel and Georg W. Alpers
    Citation: BMC Medical Informatics and Decision Making 2023 23:114
    Content type: Research article Published on:

  36. 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
    Content type: Research Published on:

  37. 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
    Content type: Research article Published on:

  38. We aimed to develop an early warning system for real-time sepsis prediction in the ICU by machine learning methods, with tools for interpretative analysis of the predictions. In particular, we focus on the dep...

    Authors: Qiyu Chen, Ranran Li, ChihChe Lin, Chiming Lai, Dechang Chen, Hongping Qu, Yaling Huang, Wenlian Lu, Yaoqing Tang and Lei Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:343
    Content type: Research Published on:

  39. Cardiac Resynchronization Therapy (CRT) is a widely used, device-based therapy for patients with left ventricle (LV) failure. Unfortunately, many patients do not benefit from CRT, so there is potential value i...

    Authors: Anamul Haque, Doug Stubbs, Nina C. Hubig, Francis G. Spinale and William J. Richardson
    Citation: BMC Medical Informatics and Decision Making 2022 22:282
    Content type: Research Published on:

  40. Colorectal cancer is a leading cause of cancer deaths. Several screening tests, such as colonoscopy, can be used to find polyps or colorectal cancer. Colonoscopy reports are often written in unstructured narra...

    Authors: Donghyeong Seong, Yoon Ho Choi, Soo-Yong Shin and Byoung-Kee Yi
    Citation: BMC Medical Informatics and Decision Making 2023 23:28
    Content type: Research Published on:

  41. Acute kidney injury (AKI) is a serious complication after cardiac surgery. We derived and internally validated a Machine Learning preoperative model to predict cardiac surgery-associated AKI of any severity and c...

    Authors: Yelena Petrosyan, Thierry G. Mesana and Louise Y. Sun
    Citation: BMC Medical Informatics and Decision Making 2022 22:137
    Content type: Research Published on:

  42. The SI-CURA project (Soluzioni Innovative per la gestione del paziente e il follow up terapeutico della Colite UlceRosA) is an Italian initiative aimed at the development of artificial intelligence solutions to d...

    Authors: Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani and Giuseppe Jurman
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 6):300
    Content type: Research Published on:

    This article is part of a Supplement: Volume 22 Supplement 6

  43. Unstructured data from electronic health records represent a wealth of information. Doc’EDS is a pre-screening tool based on textual and semantic analysis. The Doc’EDS system provides a graphic user interface ...

    Authors: Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni and Julien Grosjean
    Citation: BMC Medical Informatics and Decision Making 2022 22:34
    Content type: Research article Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:107

  44. This study sought to provide machine learning-based classification models to predict the success of intrauterine insemination (IUI) therapy. Additionally, we sought to illustrate the effect of models fitting w...

    Authors: Sajad Khodabandelu, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy and Masoumeh Golsorkhtabaramiri
    Citation: BMC Medical Informatics and Decision Making 2022 22:228
    Content type: Research Published on:

  45. There is much evidence to implement physical activity interventions for medical reasons in healthcare settings. However, the prescription of physical activity as a treatment, referring to as ‘Exercise is Medic...

    Authors: Adrie Bouma, Femke van Nassau, Joske Nauta, Leonie Krops, Hidde van der Ploeg, Evert Verhagen, Lucas van der Woude, Helco van Keeken and Rienk Dekker
    Citation: BMC Medical Informatics and Decision Making 2022 22:250
    Content type: Research Published on:

  46. Hypertension is the fifth chronic disease causing death worldwide. The early prognosis and diagnosis are critical in the hypertension care process. Inspired by human philosophy, CBR is an empirical knowledge r...

    Authors: Ping Qi, Fucheng Wang, Yong Huang and Xiaoling Yang
    Citation: BMC Medical Informatics and Decision Making 2022 22:149
    Content type: Research Published on:

  47. 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
    Content type: Research Published on:

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

  48. 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
    Content type: Research Published on:

  49. Technology-based approaches during pregnancy can facilitate the self-reporting of emotional health issues and improve well-being. There is evidence to suggest that stress during pregnancy can affect the foetus...

    Authors: Sara Balderas-Díaz, María José Rodríguez-Fórtiz, José Luis Garrido, Mercedes Bellido-González and Gabriel Guerrero-Contreras
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 4):291
    Content type: Research Published on:

    This article is part of a Supplement: Volume 22 Supplement 4

  50. Models that can effectively represent structured Electronic Healthcare Records (EHR) are central to an increasing range of applications in healthcare. Due to the sequential nature of health data, Recurrent Neu...

    Authors: Andre Vauvelle, Paidi Creed and Spiros Denaxas
    Citation: BMC Medical Informatics and Decision Making 2022 22:320
    Content type: Research Published on:
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Annual Journal Metrics

  • 2022 Citation Impact
    3.5 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.384 - SNIP (Source Normalized Impact per Paper)
    0.940 - SJR (SCImago Journal Rank)

    2023 Speed
    37 days submission to first editorial decision for all manuscripts (Median)
    213 days submission to accept (Median)

    2023 Usage 
    2,588,758 downloads
    2,443 Altmetric mentions 

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