Skip to main content

Articles

Page 5 of 62

  1. To validate a stratification method using an inverse of treatment decision rules that can classify non-small cell lung cancer (NSCLC) patients in real-world treatment records.

    Authors: Min-Hyung Kim, Sojung Park, Yu Rang Park, Wonjun Ji, Seul-Gi Kim, Minji Choo, Seung-Sik Hwang, Jae Cheol Lee, Hyeong Ryul Kim and Chang-Min Choi
    Citation: BMC Medical Informatics and Decision Making 2023 23:3
    Content type: Article Published on:

  2. Low back pain (LBP) is a common condition made up of a variety of anatomic and clinical subtypes. Lumbar disc herniation (LDH) and lumbar spinal stenosis (LSS) are two subtypes highly associated with LBP. Pati...

    Authors: Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric Meier, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty and Jeffrey G. Jarvik
    Citation: BMC Medical Informatics and Decision Making 2023 23:2
    Content type: Research Published on:

  3. Life-sustaining treatment (LST) in the intensive care unit (ICU) is withheld or withdrawn when there is no reasonable expectation of beneficial outcome. This is especially relevant in old patients where furthe...

    Authors: Michael Beil, P. Vernon van Heerden, Dylan W. de Lange, Wojciech Szczeklik, Susannah Leaver, Bertrand Guidet, Hans Flaatten, Christian Jung, Sigal Sviri and Leo Joskowicz
    Citation: BMC Medical Informatics and Decision Making 2023 23:1
    Content type: Article Published on:

  4. Ovarian cancer is the fifth leading cause of mortality among women in the United States. Ovarian cancer is also known as forgotten cancer or silent disease. The survival of ovarian cancer patients depends on s...

    Authors: Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi and Uffe Kock Wiil
    Citation: BMC Medical Informatics and Decision Making 2022 22:345
    Content type: Research Published on:

  5. Clinical diagnosis based on machine learning usually uses case samples as training samples, and uses machine learning to construct disease prediction models characterized by descriptive texts of clinical manif...

    Authors: Fangyuan Yang, Kang Wang, Lisha Sun, Mengjiao Zhai, Jiejie Song and Hong Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:344
    Content type: Research Published on:

  6. 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:

  7. Electronic clinical decision support (CDS) within Electronic Health Records has been used to improve patient safety, including reducing unnecessary blood product transfusions. We assessed the effectiveness of ...

    Authors: Jolene Atia, Felicity Evison, Suzy Gallier, Sophie Pettler, Mark Garrick, Simon Ball, Will Lester, Suzanne Morton, Jamie Coleman and Tanya Pankhurst
    Citation: BMC Medical Informatics and Decision Making 2022 22:342
    Content type: Research Published on:

  8. Perinatal mortality in Ethiopia is the highest in Africa, with 68 per 1000 pregnancies intrapartum deaths. It is mainly associated with home delivery, which contributes to more than 75% of perinatal deaths. Fi...

    Authors: Dawit S. Bogale, Tesfamariam M. Abuhay and Belayneh E. Dejene
    Citation: BMC Medical Informatics and Decision Making 2022 22:341
    Content type: Research Published on:

  9. 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:

  10. 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:

  11. Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the volume of publications requires the automation of this tedious t...

    Authors: Vincent Martenot, Valentin Masdeu, Jean Cupe, Faustine Gehin, Margot Blanchon, Julien Dauriat, Alexander Horst, Michael Renaudin, Philippe Girard and Jean-Daniel Zucker
    Citation: BMC Medical Informatics and Decision Making 2022 22:338
    Content type: Research Published on:

  12. Causal inference is a crucial element within medical decision-making. There have been many methods for investigating potential causal relationships between disease and treatment options developed in recent yea...

    Authors: Jinghua Yang, Yaping Wan, Qianxi Ni, Jianhong Zuo, Jin Wang, Xiapeng Zhang and Lifang Zhou
    Citation: BMC Medical Informatics and Decision Making 2022 22:337
    Content type: Research Published on:

  13. Given its narrow treatment window, high toxicity, adverse effects, and individual differences in its use, we collected and sorted data on tacrolimus use by real patients with kidney diseases. We then used mach...

    Authors: Weijia Yuan, Lin Sui, Haili Xin, Minchao Liu and Huayu Shi
    Citation: BMC Medical Informatics and Decision Making 2022 22:336
    Content type: Research Published on:

  14. The Federal Ministry of Education and Research of Germany (BMBF) funds a network of university medicines (NUM) to support COVID-19 and pandemic research at national level. The “COVID-19 Data Exchange Platform”...

    Authors: Martin Bialke, Lars Geidel, Christopher Hampf, Arne Blumentritt, Peter Penndorf, Ronny Schuldt, Frank-Michael Moser, Stefan Lang, Patrick Werner, Sebastian Stäubert, Hauke Hund, Fady Albashiti, Jürgen Gührer, Hans-Ulrich Prokosch, Thomas Bahls and Wolfgang Hoffmann
    Citation: BMC Medical Informatics and Decision Making 2022 22:335
    Content type: Research article Published on:

  15. Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of...

    Authors: Elisson da Silva Rocha, Flavio Leandro de Morais Melo, Maria Eduarda Ferro de Mello, Barbara Figueiroa, Vanderson Sampaio and Patricia Takako Endo
    Citation: BMC Medical Informatics and Decision Making 2022 22:334
    Content type: Research Published on:

  16. The International Classification of Diseases (ICD) and the International Classification of Diseases for Oncology (ICD-O) are both widely used global classification systems. In 2018, the initial release of the...

    Authors: Yicong Xu, Jingya Zhou and Yi Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:333
    Content type: Research Published on:

  17. Online health communities (OHCs) are becoming effective platforms for people to seek health information. Existing studies divide health information into general and specific information in OHCs. However, few s...

    Authors: Pei Wu and Runtong Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:332
    Content type: Research Published on:

  18. Patients are classified according to the severity of their condition and graded according to the diagnosis and treatment capacity of medical institutions. This study aims to correctly assign patients to medica...

    Authors: Yong Ye, Lizhen Huang, Jie Wang, Yen-Ching Chuang and Lingle Pan
    Citation: BMC Medical Informatics and Decision Making 2022 22:331
    Content type: Research Published on:

  19. The predominant oncologist-led model in many countries is unsustainable to meet the needs of a growing cohort of breast cancer survivors (BCS). Despite available alternative models, adoption rates have been po...

    Authors: Yu Ke, Ivy Cheng, Gretchen Ser Hua Tan, Rose Wai Yee Fok, Jack Junjie Chan, Kiley Wei-Jen Loh and Alexandre Chan
    Citation: BMC Medical Informatics and Decision Making 2022 22:330
    Content type: Research Published on:

  20. Clinically cardiotocography is a technique which is used to monitor and evaluate the level of fetal distress. Even though, CTG is the most widely used device to monitor determine the fetus health, existence of...

    Authors: Yared Daniel Daydulo, Bheema Lingaiah Thamineni, Hanumesh Kumar Dasari and Genet Tadese Aboye
    Citation: BMC Medical Informatics and Decision Making 2022 22:329
    Content type: Research Published on:

  21. 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:

  22. The importance of successful implementation of e-learning, especially since the emergence of the Covid-19 pandemic, has become increasingly apparent to universities. Thus, identifying the effective factors in ...

    Authors: Mohammadhiwa Abdekhoda, Afsaneh Dehnad and Javad Zarei
    Citation: BMC Medical Informatics and Decision Making 2022 22:327
    Content type: Research Published on:

  23. Breast cancer (BC) is an important reason for mortality rates in Somalian women. In Somalia, many women are late in applying to the hospital for the diagnosis of BC. Breast self-examination (BSE) is considered...

    Authors: Şeyma Zehra Altunkurek and Samira Hassan Mohamed
    Citation: BMC Medical Informatics and Decision Making 2022 22:326
    Content type: Research Published on:

  24. In the hospital environment, to achieve an optimum level of operations and service, it is necessary to develop adequate inventory management system. Stocks can be managed, amongst other ways, through inputs cl...

    Authors: Amanda G. de Assis, Ana Flávia A. dos Santos, Lucas A. dos Santos, João F. da Costa, Marco Antonio L. Cabral and Ricardo P. de Souza
    Citation: BMC Medical Informatics and Decision Making 2022 22:325
    Content type: Research Published on:

  25. Using information technology (IT) for purposes such as patient education and disease prevention and management is effective when patients are ready to use it. The objective of this study was to determine the r...

    Authors: Raana Younesi Tabas, Leila Ahmadian, Mahnaz Samadbeik, Anahita Arian and Arefeh Ameri
    Citation: BMC Medical Informatics and Decision Making 2022 22:324
    Content type: Research Published on:

  26. Clinical decision aids may support shared decision-making for screening mammography. To inform shared decision-making between patients and their providers, this study examines how patterns of using an EHR-inte...

    Authors: Yan Liu, Rachel Kornfield, Ellie Fan Yang, Elizabeth Burnside, Jon Keevil and Dhavan V. Shah
    Citation: BMC Medical Informatics and Decision Making 2022 22:323
    Content type: Research Published on:

  27. 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:

  28. The introduction of information technology was one of the key priorities for policy-makers in health care organisations over the last two decades due to the potential benefits of this technology to improve hea...

    Authors: Haitham A. Alzghaibi and Hayley A. Hutchings
    Citation: BMC Medical Informatics and Decision Making 2022 22:321
    Content type: Research Published on:

  29. 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:

  30. Diagnostic statements for pituitary adenomas (PAs) are complex and unstandardized. We aimed to determine the most commonly used elements contained in the statements and their combination patterns and variation...

    Authors: Jingya Zhou, Xiaopeng Guo, Lian Duan, Yong Yao, Yafei Shang, Yi Wang and Bing Xing
    Citation: BMC Medical Informatics and Decision Making 2022 22:319
    Content type: Research Published on:

  31. In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually chal...

    Authors: Amira Soliman, Jose R. Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe…
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 6):318
    Content type: Research Published on:

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

  32. 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:

  33. When designing a treatment in orthodontics, especially for children and teenagers, it is crucial to be aware of the changes that occur throughout facial growth because the rate and direction of growth can grea...

    Authors: Gonzalo A. Ruz, Pamela Araya-Díaz and Pablo A. Henríquez
    Citation: BMC Medical Informatics and Decision Making 2022 22:316
    Content type: Research Published on:

  34. Named entity recognition (NER) of electronic medical records is an important task in clinical medical research. Although deep learning combined with pretraining models performs well in recognizing entities in ...

    Authors: Peng Chen, Meng Zhang, Xiaosheng Yu and Songpu Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:315
    Content type: Research Published on:

  35. The standard configuration’s set of twelve electrocardiogram (ECG) leads is optimal for the medical diagnosis of diverse cardiac conditions. However, it requires ten electrodes on the patient’s limbs and chest...

    Authors: Sofia C. Beco, João Ribeiro Pinto and Jaime S. Cardoso
    Citation: BMC Medical Informatics and Decision Making 2022 22:314
    Content type: Research Published on:

  36. Chronic conditions place a considerable burden on modern healthcare systems. Within New Zealand and worldwide cardiovascular disease (CVD) affects a significant proportion of the population and it is the leadi...

    Authors: William Hsu, James R. Warren and Patricia J. Riddle
    Citation: BMC Medical Informatics and Decision Making 2022 22:313
    Content type: Research Published on:

  37. Acute pancreatitis (AP) with critical illness is linked to increased morbidity and mortality. Current risk scores to identify high-risk AP patients have certain limitations.

    Authors: Lei Yuan, Mengyao Ji, Shuo Wang, Xinyu Wen, Pingxiao Huang, Lei Shen and Jun Xu
    Citation: BMC Medical Informatics and Decision Making 2022 22:312
    Content type: Research Published on:

  38. Drug closed-loop management reflects the level of hospital management and pharmacist service. It is a challenge for hospital pharmacists to realize the whole-process closed-loop management of drugs in hospital...

    Authors: Kunxuan Wei, Xuhua Xie, Tianmin Huang, Yiyu Chen, Hongliang Zhang, Taotao Liu and Jun Luo
    Citation: BMC Medical Informatics and Decision Making 2022 22:311
    Content type: Research article Published on:

  39. Nursing information systems embedded with standardized nursing language and clinical decision support have been increasingly introduced in health care settings. User experience is key to the adoption of health...

    Authors: Yue Zhai, Zhenghong Yu, Qi Zhang, Wei Qin, Chun Yang and Yuxia Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:310
    Content type: Research Published on:

  40. 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:

  41. In healthcare there is a call to provide cost-efficient and safe care. This can be achieved through evidence-based practice (EBP), defined as the use of evidence from research, context, patient preferences, an...

    Authors: Renate Ranegger, Simon Haug, Janine Vetsch, Dieter Baumberger and Reto Bürgin
    Citation: BMC Medical Informatics and Decision Making 2022 22:308
    Content type: Research Published on:

  42. Gliomas are among the most typical brain tumors tackled by neurosurgeons. During navigation for surgery of glioma brain tumors, preoperatively acquired static images may not be accurate due to shifts. Surgeons...

    Authors: Manoj Kumar, Santosh Noronha, Narayan Rangaraj, Aliasgar Moiyadi, Prakash Shetty and Vikas Kumar Singh
    Citation: BMC Medical Informatics and Decision Making 2022 22:307
    Content type: Research Published on:

  43. In healthcare area, big data, if integrated with machine learning, enables health practitioners to predict the result of a disorder or disease more accurately. In Autistic Spectrum Disorder (ASD), it is import...

    Authors: Siti Fairuz Mohd Radzi, Mohd Sayuti Hassan and Muhammad Abdul Hadi Mohd Radzi
    Citation: BMC Medical Informatics and Decision Making 2022 22:306
    Content type: Article Published on:

  44. The association of patent foreman ovale (PFO) and cryptogenic stroke has been studied for years. Although device closure overall decreases the risk for recurrent stroke, treatment effects varied across differe...

    Authors: Dongling Luo, Ziyang Yang, Gangcheng Zhang, Qunshan Shen, Hongwei Zhang, Junxing Lai, Hui Hu, Jianxin He, Shulin Wu and Caojin Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:305
    Content type: Research Published on:

  45. Colorectal cancer (CRC) is a heterogeneous disease with different responses to targeted therapies due to various factors, and the treatment effect differs significantly between individuals. Personalize medical...

    Authors: Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue and Ping Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 11):369
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 11

  46. High dimensionality in electronic health records (EHR) causes a significant computational problem for any systematic search for predictive, diagnostic, or prognostic patterns. Feature selection (FS) methods ha...

    Authors: Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen and Anette Søgaard Nielsen
    Citation: BMC Medical Informatics and Decision Making 2022 22:304
    Content type: Research Published on:

  47. With the development of current medical technology, information management becomes perfect in the medical field. Medical big data analysis is based on a large amount of medical and health data stored in the el...

    Authors: Yuchen Zheng, Zhenggong Han, Yimin Cai, Xubo Duan, Jiangling Sun, Wei Yang and Haisong Huang
    Citation: BMC Medical Informatics and Decision Making 2022 22:303
    Content type: Research Published on:

  49. The early detection and management of uncontrolled cardiovascular risk factors among prediabetes patients can prevent cardiovascular disease (CVD). Prediabetes increases the risk of CVD, which is a leading cau...

    Authors: Daniel M. Saman, Clayton I. Allen, Laura A. Freitag, Melissa L. Harry, JoAnn M. Sperl-Hillen, Jeanette Y. Ziegenfuss, Jacob L. Haapala, A. Lauren Crain, Jay R. Desai, Kris A. Ohnsorg and Patrick J. O’Connor
    Citation: BMC Medical Informatics and Decision Making 2022 22:301
    Content type: Research Published on:

  50. 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

Submit manuscript

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)

    2022 Speed
    24 days submission to first editorial decision for all manuscripts (Median)
    170 days submission to accept (Median)

    2022 Usage 
    2,263,856 downloads
    4,290 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Follow

Sign up for article alerts and news from this journal

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us