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

Page 14 of 14

  1. Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients m...

    Authors: Sachin K. Garg, Courtney R. Lyles, Sara Ackerman, Margaret A. Handley, Dean Schillinger, Gato Gourley, Veenu Aulakh and Urmimala Sarkar
    Citation: BMC Medical Informatics and Decision Making 2016 16:16
  2. Before patients are admitted into the emergency department, it is important to undertake a pre-hospital process, both in terms of treatment performance and a request for resources from an emergency unit. The e...

    Authors: Krongkarn Sutham, Pattaraporn Khuwuthyakorn and Orawit Thinnukool
    Citation: BMC Medical Informatics and Decision Making 2020 20:66
  3. Clinical notes are unstructured text documents generated by clinicians during patient encounters, generally are annotated with International Classification of Diseases (ICD) codes, which give formatted informa...

    Authors: Shuyuan Hu, Fei Teng, Lufei Huang, Jun Yan and Haibo Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):256

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

  4. Thermoregulation is important for all age groups, and in neonates, it is considered a crucial event to adapt to extrauterine life. Therefore, using systems that provide frequent reminders in different ways in ...

    Authors: Raziyeh Beykmirza, Elahe Rastkar Mehrabani, Maryam Hashemi, Maryam Mahdizade Shahri, Reza Negarandeh and Maryam Varzeshnejad
    Citation: BMC Medical Informatics and Decision Making 2023 23:227
  5. 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
  6. In recent years, the increasing incidence and prevalence of stroke has brought a heavy economic burden on families and society in China. The Ministry of Health of the Peoples’ Republic of China initiated the n...

    Authors: Xuemeng Li, Jianfei Pang, Mei Li and Dongsheng Zhao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):67

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

  7. Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adopt...

    Authors: Hilde Herman, Sara S. Grobbelaar and Calie Pistorius
    Citation: BMC Medical Informatics and Decision Making 2020 20:55
  8. Since clinical management of heart failure relies on weights that are self-reported by the patient, errors in reporting will negatively impact the ability of health care professionals to offer timely and effec...

    Authors: Adam Steventon, Sarwat I. Chaudhry, Zhenqiu Lin, Jennifer A. Mattera and Harlan M. Krumholz
    Citation: BMC Medical Informatics and Decision Making 2017 17:43
  9. Decisions about care options and the use of life-sustaining treatments should be informed by a person’s values and treatment preferences. The objective of this study was to examine the consistency of ratings o...

    Authors: Michelle Howard, Nick Bansback, Amy Tan, Doug Klein, Carrie Bernard, Doris Barwich, Peter Dodek, Aman Nijjar and Daren K. Heyland
    Citation: BMC Medical Informatics and Decision Making 2017 17:164
  10. The autoverification system for coagulation consists of a series of rules that allow normal data to be released without manual verification. With new advances in medical informatics, the laboratory information...

    Authors: Zhongqing Wang, Cheng Peng, Hui Kang, Xia Fan, Runqing Mu, Liping Zhou, Miao He and Bo Qu
    Citation: BMC Medical Informatics and Decision Making 2019 19:123
  11. Epilepsy was defined as an abnormal brain network model disease in the latest definition. From a microscopic perspective, it is also particularly important to observe the Mutual Information (MI) of the whole b...

    Authors: Mengnan Ma, Xiaoyan Wei, Yinlin Cheng, Ziyi Chen and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):80

    This article is part of a Supplement: Volume 21 Supplement 2

  12. Chronic Kidney Disease (CKD) is one of several conditions that affect a growing percentage of the US population; the disease is accompanied by multiple co-morbidities, and is hard to diagnose in-and-of itself. In...

    Authors: Moumita Bhattacharya, Claudine Jurkovitz and Hagit Shatkay
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):125

    This article is part of a Supplement: Volume 18 Supplement 4

  13. With the global spread of COVID-19, detecting high-risk countries/regions timely and dynamically is essential; therefore, we sought to develop automatic, quantitative and scalable analysis methods to observe a...

    Authors: Xiang Zhou, Xudong Ma, Sifa Gao, Yingying Ma, Jianwei Gao, Huizhen Jiang, Weiguo Zhu, Na Hong, Yun Long and Longxiang Su
    Citation: BMC Medical Informatics and Decision Making 2023 21(Suppl 9):384

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

  14. The introduction of electronic transfer of prescriptions (ETP) or ePrescriptions in ambulatory health care has been suggested to have a positive impact on the prescribing and dispensing processes. Thereby, imp...

    Authors: Bengt Åstrand, Emelie Montelius, Göran Petersson and Anders Ekedahl
    Citation: BMC Medical Informatics and Decision Making 2009 9:8
  15. Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal di...

    Authors: Yinlin Cheng, Mengnan Ma, Xingyu Li and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):82

    This article is part of a Supplement: Volume 21 Supplement 2

  16. Well-designed clinical prediction models (CPMs) often out-perform clinicians at estimating probabilities of clinical outcomes, though their adoption by family physicians is variable. How family physicians inte...

    Authors: Benjamin Brown, Sudeh Cheraghi-Sohi, Thomas Jaki, Ting-Li Su, Iain Buchan and Matthew Sperrin
    Citation: BMC Medical Informatics and Decision Making 2016 16:106
  17. Asthma is the most common pediatric chronic disease affecting 9.6 % of American children. Delay in asthma diagnosis is prevalent, resulting in suboptimal asthma management. To help avoid delay in asthma diagno...

    Authors: Gang Luo, Flory L. Nkoy, Bryan L. Stone, Darell Schmick and Michael D. Johnson
    Citation: BMC Medical Informatics and Decision Making 2015 15:99
  18. Currently, numerous antihypertensive drugs from different pharmacological classes are available; however, blood pressure control is achieved in only less than a third of patients treated for hypertension. More...

    Authors: Chunyu Liu, Jing Xu, Ran Liu, Miye Wang, Yixuan Zhuo, Lan Su, Hongmei Yan and Qing Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21:370
  19. Existing resources to assist the diagnosis of rare diseases are usually curated from the literature that can be limited for clinical use. It often takes substantial effort before the suspicion of a rare diseas...

    Authors: Feichen Shen, Yiqing Zhao, Liwei Wang, Majid Rastegar Mojarad, Yanshan Wang, Sijia Liu and Hongfang Liu
    Citation: BMC Medical Informatics and Decision Making 2019 19:32

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)
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