Skip to main content

Articles

674 result(s) for 'natural language processing' within BMC Medical Informatics and Decision Making

Page 11 of 14

  1. The effectiveness of weight loss therapies is commonly measured using body mass index and other obesity-related variables. Although these data are often stored in electronic health records (EHRs) and potential...

    Authors: G Craig Wood, Xin Chu, Christina Manney, William Strodel, Anthony Petrick, Jon Gabrielsen, Jamie Seiler, David Carey, George Argyropoulos, Peter Benotti, Christopher D Still and Glenn S Gerhard
    Citation: BMC Medical Informatics and Decision Making 2012 12:45
  2. Predicting medications is a crucial task in intelligent healthcare systems, aiding doctors in making informed decisions based on electronic medical records (EMR). However, medication prediction faces challenge...

    Authors: Yang An, Haocheng Tang, Bo Jin, Yi Xu and Xiaopeng Wei
    Citation: BMC Medical Informatics and Decision Making 2023 23:243
  3. Achieving healthy ageing has become the only way for China to alleviate the pressure of ageing, especially in rural areas. However, the factors affecting the health of rural older adults are numerous and compl...

    Authors: Jian Wu, Yucheng Chen, Zengwen Wang, Guoheng Hu and Chen Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:299
  4. In radiology, a vast amount of diverse data is generated, and unstructured reporting is standard. Hence, much useful information is trapped in free-text form, and often lost in translation and transmission. On...

    Authors: Heiner Oberkampf, Sonja Zillner, James A. Overton, Bernhard Bauer, Alexander Cavallaro, Michael Uder and Matthias Hammon
    Citation: BMC Medical Informatics and Decision Making 2016 16:5
  5. The use of digital technology in healthcare has been found to be useful for data collection, provision of health information and communications. Despite increasing use of medical mobile phone applications (app...

    Authors: Jenny Carter, Jane Sandall, Andrew H. Shennan and Rachel M. Tribe
    Citation: BMC Medical Informatics and Decision Making 2019 19:219
  6. It is encouraging to see a substantial increase in individuals surviving cancer. Even more so since most of them will have a positive effect on society by returning to work. However, many cancer survivors have...

    Authors: Izidor Mlakar, Simon Lin, Ilona Aleksandraviča, Krista Arcimoviča, Jānis Eglītis, Mārcis Leja, Ángel Salgado Barreira, Jesús G. Gómez, Mercedes Salgado, Jesús G. Mata, Doroteja Batorek, Matej Horvat, Maja Molan, Maja Ravnik, Jean-François Kaux, Valérie Bleret…
    Citation: BMC Medical Informatics and Decision Making 2021 21:243
  7. A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal...

    Authors: Yaoyun Zhang, Firat Tiryaki, Min Jiang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):77

    This article is part of a Supplement: Volume 19 Supplement 3

  8. In accordance with the People’s Republic of China’s (China) National Health Reform Plan of 2009, two of the nation’s leading hospitals, located in Beijing, have implemented electronic medical record (EMR) syst...

    Authors: Jianbo Lei, Paulina Sockolow, Pengcheng Guan, Qun Meng and Jiajie Zhang
    Citation: BMC Medical Informatics and Decision Making 2013 13:96
  9. Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of...

    Authors: Zhichang Zhang, Tong Zhou, Yu Zhang and Yali Pang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):55

    This article is part of a Supplement: Volume 19 Supplement 2

  10. Patients benefit from access to their medical records. However, clinical notes and letters are often difficult to comprehend for most lay people. Therefore, functionality was implemented in the patient portal ...

    Authors: Hugo J. T. van Mens, Mirte M. van Eysden, Remko Nienhuis, Johannes J. M. van Delden, Nicolette F. de Keizer and Ronald Cornet
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):278

    This article is part of a Supplement: Volume 20 Supplement 10

  11. Accurate diagnosis and early treatment are essential in the fight against lymphatic cancer. The application of artificial intelligence (AI) in the field of medical imaging shows great potential, but the diagno...

    Authors: Anying Bai, Mingyu Si, Peng Xue, Yimin Qu and Yu Jiang
    Citation: BMC Medical Informatics and Decision Making 2024 24:13
  12. Medical coding is used for a variety of activities, from observational studies to hospital billing. However, comorbidities tend to be under-reported by medical coders. The aim of this study was to develop an a...

    Authors: Emmanuelle Sylvestre, Guillaume Bouzillé, Emmanuel Chazard, Cécil His-Mahier, Christine Riou and Marc Cuggia
    Citation: BMC Medical Informatics and Decision Making 2018 18:9
  13. Applying evidence is one of the most challenging steps of evidence-based clinical practice. Healthcare professionals have difficulty interpreting evidence and translating it to patients. Decision boxes are sum...

    Authors: Anik Giguere, France Legare, Roland Grad, Pierre Pluye, François Rousseau, R Brian Haynes, Michel Cauchon and Michel Labrecque
    Citation: BMC Medical Informatics and Decision Making 2011 11:17
  14. Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and syn...

    Authors: Siobhan O’Connor, Peter Hanlon, Catherine A. O’Donnell, Sonia Garcia, Julie Glanville and Frances S. Mair
    Citation: BMC Medical Informatics and Decision Making 2016 16:120
  15. The medical history is acknowledged as the sine qua non for quality medical care because recognizing problems is pre-requisite for managing them. Medical histories typically are incomplete and inaccurate, however...

    Authors: David Zakim, Niko Braun, Peter Fritz and Mark Dominik Alscher
    Citation: BMC Medical Informatics and Decision Making 2008 8:50
  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
  17. Little is known about shared decision-making (SDM) with Métis, First Nations and Inuit women (“Aboriginal women”). SDM is a collaborative process that engages health care professional(s) and the client in maki...

    Authors: Janet Jull, Dawn Stacey, Audrey Giles and Yvonne Boyer
    Citation: BMC Medical Informatics and Decision Making 2012 12:146
  18. Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), marked by high cost, high morbidity and high mortality. As the early prediction of AKI is critical for patients’ outcomes and...

    Authors: Yuan Wang, Yake Wei, Hao Yang, Jingwei Li, Yubo Zhou and Qin Wu
    Citation: BMC Medical Informatics and Decision Making 2020 20:238
  19. To deliver evidence-based medicine, clinicians often reference resources that are useful to their respective medical practices. Owing to their busy schedules, however, clinicians typically find it challenging ...

    Authors: Boshu Ru, Xiaoyan Wang and Lixia Yao
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):74

    This article is part of a Supplement: Volume 17 Supplement 2

  20. Decision analysis in hospital-based settings is becoming more common place. The application of modeling and simulation approaches has likewise become more prevalent in order to support decision analytics. With...

    Authors: Jeffrey S Barrett, John T Mondick, Mahesh Narayan, Kalpana Vijayakumar and Sundararajan Vijayakumar
    Citation: BMC Medical Informatics and Decision Making 2008 8:6
  21. This paper developed federated solutions based on two approximation algorithms to achieve federated generalized linear mixed effect models (GLMM). The paper also proposed a solution for numerical errors and si...

    Authors: Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen and Xiaoqian Jiang
    Citation: BMC Medical Informatics and Decision Making 2022 22:269
  22. Despite the vagueness and uncertainty that is intrinsic in any medical act, interpretation and decision (including acts of data reporting and representation of relevant medical conditions), still little resear...

    Authors: Andrea Seveso, Andrea Campagner, Davide Ciucci and Federico Cabitza
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 5):142

    This article is part of a Supplement: Volume 20 Supplement 5

  23. Primary care electronic medical record (EMR) data are emerging as a useful source for secondary uses, such as disease surveillance, health outcomes research, and practice improvement. These data capture clinic...

    Authors: Stephanie Garies, Michael Cummings, Hude Quan, Kerry McBrien, Neil Drummond, Donna Manca and Tyler Williamson
    Citation: BMC Medical Informatics and Decision Making 2020 20:56
  24. Prognostic models of hospital-induced delirium, that include potential predisposing and precipitating factors, may be used to identify vulnerable patients and inform the implementation of tailored preventive i...

    Authors: Urszula A. Snigurska, Sarah E. Ser, Laurence M. Solberg, Mattia Prosperi, Tanja Magoc, Zhaoyi Chen, Jiang Bian, Ragnhildur I. Bjarnadottir and Robert J. Lucero
    Citation: BMC Medical Informatics and Decision Making 2023 23:181
  25. 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

  26. 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
  27. Due to the complexity and high heterogeneity of the acute exacerbation of chronic obstructive pulmonary disease (AECOPD), the guidelines (global initiative for chronic obstructive, GOLD) is unable to fully gui...

    Authors: Junfeng Peng, Mi Zhou, Kaiqiang Zou, Xiongyong Zhu, Jun Xu, Yi Teng, Feifei Zhang and Guoming Chen
    Citation: BMC Medical Informatics and Decision Making 2021 21:348
  28. Various types of framing can influence risk perceptions, which may have an impact on treatment decisions and adherence. One way of framing is the use of verbal terms in communicating the probabilities of treat...

    Authors: Roland Brian Büchter, Dennis Fechtelpeter, Marco Knelangen, Martina Ehrlich and Andreas Waltering
    Citation: BMC Medical Informatics and Decision Making 2014 14:76
  29. A lot of medical mentions can be extracted from a huge amount of medical texts. In order to make use of these medical mentions, a prerequisite step is to link those medical mentions to a medical domain knowled...

    Authors: Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi and Shengping Liu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):317

    This article is part of a Supplement: Volume 21 Supplement 9

  30. The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplan...

    Authors: Alvaro Sobrinho, Leandro Dias da Silva, Angelo Perkusich, Maria Eliete Pinheiro and Paulo Cunha
    Citation: BMC Medical Informatics and Decision Making 2018 18:7
  31. Nowadays, various simulation approaches for evaluation and decision making in cancer screening can be found in the literature. This paper presents an overview of approaches used to assess screening programs fo...

    Authors: Aleksandr Bespalov, Anton Barchuk, Anssi Auvinen and Jaakko Nevalainen
    Citation: BMC Medical Informatics and Decision Making 2021 21:359
  32. The accelerated growth of elderly population is creating a heavy burden to the healthcare system in many developed countries and regions. Electrocardiogram (ECG) analysis has been recognized as effective appro...

    Authors: Xiaomao Fan, Yang Zhao, Hailiang Wang and Kwok Leung Tsui
    Citation: BMC Medical Informatics and Decision Making 2019 19:285
  33. A verbal autopsy (VA) is a post-hoc written interview report of the symptoms preceding a person’s death in cases where no official cause of death (CoD) was determined by a physician. Current leading automated ...

    Authors: Serena Jeblee, Mireille Gomes, Prabhat Jha, Frank Rudzicz and Graeme Hirst
    Citation: BMC Medical Informatics and Decision Making 2019 19:127
  34. Free-text medication prescriptions contain detailed instruction information that is key when preparing drug data for analysis. The objective of this study was to develop a novel model and automated text-mining...

    Authors: George Karystianis, Therese Sheppard, William G. Dixon and Goran Nenadic
    Citation: BMC Medical Informatics and Decision Making 2016 16:18
  35. 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
  36. With the rapid growth of healthcare services, health insurance fraud detection has become an important measure to ensure efficient use of public funds. Traditional fraud detection methods have tended to focus ...

    Authors: Jiangtao Lu, Kaibiao Lin, Ruicong Chen, Min Lin, Xin Chen and Ping Lu
    Citation: BMC Medical Informatics and Decision Making 2023 23:62
  37. Gender information frequently exists in the eligibility criteria of clinical trial text as essential information for participant population recruitment. Particularly, current eligibility criteria text contains...

    Authors: Boyu Chen, Hao Jin, Zhiwen Yang, Yingying Qu, Heng Weng and Tianyong Hao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):62

    This article is part of a Supplement: Volume 19 Supplement 2

  38. Thrombolytic treatment for acute ischaemic stroke improves prognosis, although there is a risk of bleeding complications leading to early death/severe disability. Benefit from thrombolysis is time dependent an...

    Authors: Darren Flynn, Daniel J Nesbitt, Gary A Ford, Peter McMeekin, Helen Rodgers, Christopher Price, Christian Kray and Richard G Thomson
    Citation: BMC Medical Informatics and Decision Making 2015 15:6
  39. Dementia is underdiagnosed in both the general population and among Veterans. This underdiagnosis decreases quality of life, reduces opportunities for interventions, and increases health-care costs. New approa...

    Authors: Yijun Shao, Qing T. Zeng, Kathryn K. Chen, Andrew Shutes-David, Stephen M. Thielke and Debby W. Tsuang
    Citation: BMC Medical Informatics and Decision Making 2019 19:128
  40. The first step in practising Evidence Based Medicine (EBM) has been described as translating clinical uncertainty into a structured and focused clinical question that can be used to search the literature to as...

    Authors: Keith Lloyd, Matteo Cella, Michael Tanenblatt and Anni Coden
    Citation: BMC Medical Informatics and Decision Making 2009 9:34
  41. Evidence-based Clinical Decision Support Systems (CDSSs) usually obtain clinical evidences from randomized controlled trials based on coarse-grained groups. Individuals who are beyond the scope of the original...

    Authors: Junyi Yang, Liang Xiao and Kangning Li
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):138

    This article is part of a Supplement: Volume 20 Supplement 3

  42. The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.

    Authors: Yu Xin, Hongxu Li, Yuxin Zhou, Qing Yang, Wenjing Mu, Han Xiao, Zipeng Zhuo, Hongyu Liu, Hongying Wang, Xutong Qu, Changsong Wang, Haitao Liu and Kaijiang Yu
    Citation: BMC Medical Informatics and Decision Making 2023 23:155
  43. Building and validating electronic algorithms to identify patients with specific disease profiles using health data is becoming increasingly important to disease surveillance and population health management. The...

    Authors: Rachael Morkem, Kenneth Handelman, John A. Queenan, Richard Birtwhistle and David Barber
    Citation: BMC Medical Informatics and Decision Making 2020 20:166
  44. Critical values are commonly used in clinical laboratory tests to define health-related conditions of varying degrees. Knowing the values, people can quickly become aware of health risks, and the health profes...

    Authors: Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu and Shenda Hong
    Citation: BMC Medical Informatics and Decision Making 2022 22:295
  45. As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis o...

    Authors: Douglas Teoh
    Citation: BMC Medical Informatics and Decision Making 2018 18:127
  46. The secondary use of electronic health records (EHRs) promises to facilitate medical research. We reviewed general data requirements in observational studies and analyzed the feasibility of conducting observat...

    Authors: Marcel von Lucadou, Thomas Ganslandt, Hans-Ulrich Prokosch and Dennis Toddenroth
    Citation: BMC Medical Informatics and Decision Making 2019 19:202

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