Skip to main content

Articles

Page 8 of 67

  1. Despite high rates of mental health disorders among cancer patients, uptake of referral to psycho-oncology services remains low. This study aims to develop and seek clinician and patient feedback on a patient ...

    Authors: Rebecca Rayner, Joanne Shaw and Caroline Hunt
    Citation: BMC Medical Informatics and Decision Making 2023 23:65
  2. Prediction modelling increasingly becomes an important risk assessment tool in perioperative systems approaches, e.g. in complex patients with open abdomen treatment for peritonitis. In this population, combin...

    Authors: Markus Huber, Patrick Schober, Sven Petersen and Markus M. Luedi
    Citation: BMC Medical Informatics and Decision Making 2023 23:63
  3. The process of initiating and completing clinical drug trials in hospital settings is highly complex, with numerous institutional, technical, and record-keeping barriers. In this study, we independently develo...

    Authors: Liang Shen, You Zhai, AXiang Pan, Qingwei Zhao, Min Zhou and Jian Liu
    Citation: BMC Medical Informatics and Decision Making 2023 23:61
  4. Biguanides and sulfonylurea are two classes of anti-diabetic medications that have commonly been prescribed all around the world. Diagnosis of biguanide and sulfonylurea exposures is based on history taking an...

    Authors: Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh and Christopher Hoyte
    Citation: BMC Medical Informatics and Decision Making 2023 23:60
  5. We aimed to develop a robust framework to model the complex association between clinical features and traumatic brain injury (TBI) risk in children under age two, and identify significant features to derive cl...

    Authors: Baiming Zou, Xinlei Mi, Elizabeth Stone and Fei Zou
    Citation: BMC Medical Informatics and Decision Making 2023 23:58
  6. This study aimed to develop a prediction model for transferring patients to an inappropriate hospital for suspected cardiovascular emergency diseases at the pre-hospital stage, using variables obtained from an...

    Authors: Ji Hoon Kim, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim and Hyuk-Jae Chang
    Citation: BMC Medical Informatics and Decision Making 2023 23:56
  7. There is a strong association between gastric cancer and inflammatory factors. Many studies have shown that machine learning can predict cancer patients’ prognosis. However, there has been no study on predicti...

    Authors: Cheng-Mao Zhou, Ying Wang, Jian-Jun Yang and Yu Zhu
    Citation: BMC Medical Informatics and Decision Making 2023 23:53
  8. The tracking and documentation of procedures in gastrointestinal endoscopy including therapeutic interventions is an essential but challenging process. The University of Alberta has developed a smartphone app ...

    Authors: Sergio Zepeda-Gómez, Andrea Dávila-Cervantes, Aldo J. Montaño-Loza, David Yang, Daniel C. Baumgart, Karen Kroeker and Brendan P. Halloran
    Citation: BMC Medical Informatics and Decision Making 2023 23:52
  9. Clinical pathways are one of the main tools to manage the health care’s quality and concerned with the standardization of care processes. They have been used to help frontline healthcare workers by presenting ...

    Authors: Geletaw Sahle Tegenaw, Demisew Amenu, Girum Ketema, Frank Verbeke, Jan Cornelis and Bart Jansen
    Citation: BMC Medical Informatics and Decision Making 2023 23:51
  10. Morphological identification of peripheral leukocytes is a complex and time-consuming task, having especially high requirements for personnel expertise. This study is to investigate the role of artificial inte...

    Authors: Ying Xing, Xuekai Liu, Juhua Dai, Xiaoxing Ge, Qingchen Wang, Ziyu Hu, Zhicheng Wu, Xuehui Zeng, Dan Xu and Chenxue Qu
    Citation: BMC Medical Informatics and Decision Making 2023 23:50
  11. The incidence of stroke is a challenge in China, as stroke imposes a heavy burden on families, national health services, social services, and the economy. The length of hospital stay (LOS) is an essential indi...

    Authors: Rui Chen, Shengfa Zhang, Jie Li, Dongwei Guo, Weijun Zhang, Xiaoying Wang, Donghua Tian, Zhiyong Qu and Xiaohua Wang
    Citation: BMC Medical Informatics and Decision Making 2023 23:49
  12. Outbreaks of infectious diseases are a complex phenomenon with many interacting factors. Regional health authorities need prognostic modeling of the epidemic process.

    Authors: Andrey Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya and Nadezhda Vyatkina
    Citation: BMC Medical Informatics and Decision Making 2023 23:48
  13. The World Health Organization’s (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified thr...

    Authors: Alan J. Forster, Christopher G. Chute, Harold Alan Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2023 21(Suppl 6):383

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

  14. COVID-19 is an ongoing global health crisis with prevention and treatment recommendations rapidly changing. Rapid response telephone triage and advice services are critical in providing timely care during pand...

    Authors: Jyu-Lin Chen, Chen-Xi Lin, Mijung Park, Jerry John Nutor, Rosalind de Lisser, Thomas J. Hoffmann and Hannah J. Kim
    Citation: BMC Medical Informatics and Decision Making 2023 23:47
  15. Early prognostication of patients hospitalized with COVID-19 who may require mechanical ventilation and have worse outcomes within 30 days of admission is useful for delivering appropriate clinical care and op...

    Authors: Ganesh Raman, Bilal Ashraf, Yusuf Kemal Demir, Corey D. Kershaw, Sreekanth Cheruku, Murat Atis, Ahsen Atis, Mustafa Atar, Weina Chen, Ibrahim Ibrahim, Taha Bat and Mutlu Mete
    Citation: BMC Medical Informatics and Decision Making 2023 23:46
  16. Graph databases enable efficient storage of heterogeneous, highly-interlinked data, such as clinical data. Subsequently, researchers can extract relevant features from these datasets and apply machine learning...

    Authors: Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake and Robert Heyer
    Citation: BMC Medical Informatics and Decision Making 2023 22(Suppl 6):347

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

  17. Automatic speech and language assessment methods (SLAMs) can help clinicians assess speech and language impairments associated with dementia in older adults. The basis of any automatic SLAMs is a machine learn...

    Authors: Mahboobeh (Mah) Parsapoor (Parsa), Muhammad Raisul Alam and Alex Mihailidis
    Citation: BMC Medical Informatics and Decision Making 2023 23:45
  18. Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a rich...

    Authors: Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca G. Mishuris and Ioannis Ch. Paschalidis
    Citation: BMC Medical Informatics and Decision Making 2023 23:44
  19. To evaluate the effects of a shared decision making (SDM) intervention for older adults with multiple chronic conditions (MCCs).

    Authors: Ruth E. Pel-Littel, Bianca M. Buurman, Marjolein H. van de Pol, Jos W. R. Twisk, Linda R. Tulner, Mirella M. Minkman, Wilma J. M. Scholte op Reimer and Julia C. M. van Weert
    Citation: BMC Medical Informatics and Decision Making 2023 23:42
  20. Prolonged Disorders of Consciousness (PDOC) resulting from severe acquired brain injury can lead to complex disabilities that make diagnosis challenging. The role of machine learning (ML) in diagnosing PDOC st...

    Authors: Ajit Narayanan, Wendy L. Magee and Richard J. Siegert
    Citation: BMC Medical Informatics and Decision Making 2023 23:41
  21. Two years into the COVID-19 pandemic and with more than five million deaths worldwide, the healthcare establishment continues to struggle with every new wave of the pandemic resulting from a new coronavirus va...

    Authors: Vipina K. Keloth, Shuxin Zhou, Luke Lindemann, Ling Zheng, Gai Elhanan, Andrew J. Einstein, James Geller and Yehoshua Perl
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):40

    This article is part of a Supplement: Volume 23 Supplement 1

  22. The shared decision-making model has been proposed as the ideal treatment decision-making process in medical encounters. However, the decision to participate in clinical trials rarely involves shared decision-...

    Authors: Miho Fujita, Yuki Yonekura and Kazuhiro Nakayama
    Citation: BMC Medical Informatics and Decision Making 2023 23:39
  23. Innovation in healthcare technologies can result in more convenient and effective treatment that is less costly, but a persistent challenge to widespread adoption in health and social care is end user acceptab...

    Authors: Sarah Sauchelli, Tim Pickles, Alexandra Voinescu, Heungjae Choi, Ben Sherlock, Jingjing Zhang, Steffi Colyer, Sabrina Grant, Sethu Sundari and Gemma Lasseter
    Citation: BMC Medical Informatics and Decision Making 2023 23:38
  24. Eye lesions, occur in nearly half of patients with Behçet’s Disease (BD), can lead to irreversible damage and vision loss; however, limited studies are available on identifying risk factors for the development...

    Authors: Nevin Hammam, Ali Bakhiet, Eiman Abd El-Latif, Iman I. El-Gazzar, Nermeen Samy, Rasha A. Abdel Noor, Emad El-Shebeiny, Amany R. El-Najjar, Nahla N. Eesa, Mohamed N. Salem, Soha E. Ibrahim, Dina F. El-Essawi, Ahmed M. Elsaman, Hanan M. Fathi, Rehab A. Sallam, Rawhya R. El Shereef…
    Citation: BMC Medical Informatics and Decision Making 2023 23:37
  25. The Human Cell Atlas resource will deliver single cell transcriptome data spatially organised in terms of gross anatomy, tissue location and with images of cellular histology. This will enable the application ...

    Authors: Albert Burger, Richard A. Baldock, David J. Adams, Shahida Din, Irene Papatheodorou, Michael Glinka, Bill Hill, Derek Houghton, Mehran Sharghi, Michael Wicks and Mark J. Arends
    Citation: BMC Medical Informatics and Decision Making 2023 23:36
  26. The measurement of drug similarity has many potential applications for assessing drug therapy similarity, patient similarity, and the success of treatment modalities. To date, a family of computational methods...

    Authors: Amir Torab-Miandoab, Mehdi Poursheikh Asghari, Nastaran Hashemzadeh and Reza Ferdousi
    Citation: BMC Medical Informatics and Decision Making 2023 23:35
  27. In recent years, relation extraction on unstructured texts has become an important task in medical research. However, relation extraction requires a large amount of labeled corpus, manually annotating sequence...

    Authors: Qi Ye, Tingting Cai, Xiang Ji, Tong Ruan and Hong Zheng
    Citation: BMC Medical Informatics and Decision Making 2023 23:34
  28. Semantic segmentation of brain tumors plays a critical role in clinical treatment, especially for three-dimensional (3D) magnetic resonance imaging, which is often used in clinical practice. Automatic segmenta...

    Authors: Yimin Cai, Yuqing Long, Zhenggong Han, Mingkun Liu, Yuchen Zheng, Wei Yang and Liming Chen
    Citation: BMC Medical Informatics and Decision Making 2023 23:33
  29. The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspec...

    Authors: Li hua, Mu Dongmei, Yang Xinyu, Zhang Xinyue, Wang Shutong, Wang Dongxuan, Peng Hao and Wang Ying
    Citation: BMC Medical Informatics and Decision Making 2023 23:32
  30. The use of fluids is the most frequently used therapy for circulatory shock. Its inadequate use has adverse effects, requiring hemodynamic goals, highlighting the use of pulse pressure variation due to its hig...

    Authors: Orivaldo Alves Barbosa, Edgar Marçal, David Augusto Batista Sá Araújo, Lucas Severo Melo and Hermano Alexandre Lima Rocha
    Citation: BMC Medical Informatics and Decision Making 2023 23:31
  31. Evidence has shown that SMS text message-based health education is effective in improving exclusive breastfeeding. However, there is limited evidence on the development and design of SMS messaging intervention...

    Authors: Kidane Tadesse Gebremariam, Afework Mulugeta and Danielle Gallegos
    Citation: BMC Medical Informatics and Decision Making 2023 23:30
  32. In the United Kingdom, Emergency Departments (EDs) are under significant pressure due to an ever-increasing number of attendances. Understanding how the capacity of other urgent care services and the health of...

    Authors: Charlotte James, Richard Wood and Rachel Denholm
    Citation: BMC Medical Informatics and Decision Making 2023 23:29
  33. 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
  34. Antibiotic resistance is a major health threat. Inappropriate antibiotic use has been shown to be an important determinant of the emergence of antibiotic resistance. Decision support systems for antimicrobial ...

    Authors: Pinar Tokgöz, Jessica Hafner and Christoph Dockweiler
    Citation: BMC Medical Informatics and Decision Making 2023 23:27
  35. Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease whose spreading and progression mechanisms are still unclear. The ability to predict ALS prognosis would improve the patients’ quality of life...

    Authors: Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano and Barbara Di Camillo
    Citation: BMC Medical Informatics and Decision Making 2023 22(Suppl 6):346

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

  36. We are researching, developing, and publishing the clinical decision support system based on learning-to-rank. The main objectives are (1) To support for differential diagnoses performed by internists and gene...

    Authors: Yasuhiko Miyachi, Osamu Ishii and Keijiro Torigoe
    Citation: BMC Medical Informatics and Decision Making 2023 23:26
  37. In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest ...

    Authors: Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström and Ulf Ekelund
    Citation: BMC Medical Informatics and Decision Making 2023 23:25
  38. Dengue is a common viral illness and severe disease results in life-threatening complications. Healthcare services in low- and middle-income countries treat the majority of dengue cases worldwide. However, the...

    Authors: Quang Huy Nguyen, Damien K. Ming, An Phuoc Luu, Ho Quang Chanh, Dong Thi Hoai Tam, Nguyen Thanh Truong, Vo Xuan Huy, Bernard Hernandez, Jennifer Ilo Van Nuil, Chris Paton, Pantelis Georgiou, Nguyet Minh Nguyen, Alison Holmes, Phan Vinh Tho and Sophie Yacoub
    Citation: BMC Medical Informatics and Decision Making 2023 23:24
  39. Good design of cancer registry systems makes them easy to use, while poor design of their user interfaces leads to user dissatisfaction and resistance. The objective of this study was to evaluate the usability...

    Authors: Fatemeh Bagheri, Faezeh Abbasi, Mojtaba Sadeghi and Reza Khajouei
    Citation: BMC Medical Informatics and Decision Making 2023 23:23
  40. Maintaining medication adherence can be challenging for people living with mental ill-health. Clinical decision support systems (CDSS) based on automated detection of problematic patterns in Electronic Health ...

    Authors: Dan Thorpe, Jörg Strobel and Niranjan Bidargaddi
    Citation: BMC Medical Informatics and Decision Making 2023 23:22
  41. Patients with the thalassemia have a basic requirement for self-efficacy regarding their treatment procedure. The present study aimed to compare the effect of self-care education via a smartphone application a...

    Authors: Fahimeh Kharaman-nia, Habibolah Rezaei, Narges Roustaei, Peyman Etemadfar and Nazafarin Hosseini
    Citation: BMC Medical Informatics and Decision Making 2023 23:21
  42. Extracting relevant information about infectious diseases is an essential task. However, a significant obstacle in supporting public health research is the lack of methods for effectively mining large amounts ...

    Authors: Shaina Raza and Brian Schwartz
    Citation: BMC Medical Informatics and Decision Making 2023 23:20
  43. The coronavirus disease 2019 (COVID-19) has developed into a pandemic. Data-driven techniques can be used to inform and guide public health decision- and policy-makers. In generalizing the spread of a virus ov...

    Authors: Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu…
    Citation: BMC Medical Informatics and Decision Making 2023 23:19
  44. The lack of interoperability between health information systems reduces the quality of care provided to patients and wastes resources. Accordingly, there is an urgent need to develop integration mechanisms amo...

    Authors: Amir Torab-Miandoab, Taha Samad-Soltani, Ahmadreza Jodati and Peyman Rezaei-Hachesu
    Citation: BMC Medical Informatics and Decision Making 2023 23:18
  45. Breast cancer is one of the most common cancers diagnosed worldwide and the second leading cause of death among women. Virtual reality (VR) has many opportunities and challenges for breast cancer patients' reh...

    Authors: Alireza Banaye Yazdipour, Soheila Saeedi, Hassan Bostan, Hoorie Masoorian, Hasan Sajjadi and Marjan Ghazisaeedi
    Citation: BMC Medical Informatics and Decision Making 2023 23:17
  46. Detecting brain tumors in their early stages is crucial. Brain tumors are classified by biopsy, which can only be performed through definitive brain surgery. Computational intelligence-oriented techniques can ...

    Authors: Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz and Sharareh R. Niakan Kalhori
    Citation: BMC Medical Informatics and Decision Making 2023 23:16
  47. In China, patients usually determine their medical specialty before they register the corresponding specialists in the hospitals. This process usually requires a lot of medical knowledge for the patients. As a...

    Authors: Chao Mao, Quanjing Zhu, Rong Chen and Weifeng Su
    Citation: BMC Medical Informatics and Decision Making 2023 23:15
  48. Data management system for diabetes clinical trials is used to support clinical data management processes. The purpose of this study was to evaluate the quality and usability of this system from the users’ per...

    Authors: Aynaz Nourani, Haleh Ayatollahi and Masoud Solaymani-Dodaran
    Citation: BMC Medical Informatics and Decision Making 2023 23:14
  49. Visual electrophysiology is an objective visual function examination widely used in clinical work and medical identification that can objectively evaluate visual function and locate lesions according to wavefo...

    Authors: Na Liang, Chengliang Wang, Shiying Li, Xin Xie, Jun Lin and Wen Zhong
    Citation: BMC Medical Informatics and Decision Making 2023 23:13

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 

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

Sign up for article alerts and news from this journal