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

Page 14 of 14

  1. Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diag...

    Authors: Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou and Jing Gao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):267
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 6

  2. Enhancing the self-management capability of asthma patients can improve their level of asthma control. Although the use of mobile health technology among asthmatics to facilitate self-management has become a g...

    Authors: Zhifang Guan, Liu Sun, Qian Xiao and Yanling Wang
    Citation: BMC Medical Informatics and Decision Making 2019 19:192
    Content type: Research article Published on:

  3. An academic, community medicine partnership was established to build a phenotype-to-outcome model targeting chronic pain. This model will be used to drive clinical decision support for pain medicine in the com...

    Authors: David A. Juckett, Fred N. Davis, Mark Gostine, Philip Reed and Rebecca Risko
    Citation: BMC Medical Informatics and Decision Making 2015 15:41
    Content type: Research article Published on:

  4. To implement informed shared decision-making (ISDM) in breast care centres, we developed and piloted an inter-professional complex intervention.

    Authors: Birte Berger-Höger, Katrin Liethmann, Ingrid Mühlhauser and Anke Steckelberg
    Citation: BMC Medical Informatics and Decision Making 2017 17:160
    Content type: Research article Published on:

  5. De-identification is the first step to use these records for data processing or further medical investigations in electronic medical records. Consequently, a reliable automated de-identification system would b...

    Authors: Yue-Shu Zhao, Kun-Li Zhang, Hong-Chao Ma and Kun Li
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):18
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

  6. Decision Boxes are summaries of the most important benefits and harms of health interventions provided to clinicians before they meet the patient, to prepare them to help patients make informed and value-based...

    Authors: Anik Giguere, Michel Labrecque, Roland Grad, Michel Cauchon, Matthew Greenway, France Légaré, Pierre Pluye, Stephane Turcotte, Lisa Dolovich and R Brian Haynes
    Citation: BMC Medical Informatics and Decision Making 2012 12:85
    Content type: Study protocol Published on:

  7. A common challenge with all opioid use disorder treatment paths is withdrawal management. When withdrawal symptoms are not effectively monitored and managed, they lead to relapse which often leads to deadly ov...

    Authors: Joseph K. Nuamah, Farzan Sasangohar, Madhav Erraguntla and Ranjana K. Mehta
    Citation: BMC Medical Informatics and Decision Making 2019 19:113
    Content type: Research article Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:126

  8. Our objective was to develop a model for measuring re-identification risk that more closely mimics the behaviour of an adversary by accounting for repeated attempts at matching and verification of matches, and...

    Authors: Khaled El Emam, Fida K Dankar, Angelica Neisa and Elizabeth Jonker
    Citation: BMC Medical Informatics and Decision Making 2013 13:114
    Content type: Research article Published on:

  9. Cardiotocography (CTG) interpretation plays a critical role in prenatal fetal monitoring. However, the interpretation of fetal status assessment using CTG is mainly confined to clinical research. To the best o...

    Authors: Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao and Hang Wei
    Citation: BMC Medical Informatics and Decision Making 2021 21:355
    Content type: Research article Published on:

  10. The Patient Activation Measure (PAM13) is an instrument that assesses patient knowledge, skills, and confidence for disease self-management. This cross-sectional study was aimed to validate a culturally-adapte...

    Authors: Guendalina Graffigna, Serena Barello, Andrea Bonanomi, Edoardo Lozza and Judith Hibbard
    Citation: BMC Medical Informatics and Decision Making 2015 15:109
    Content type: Research article Published on:

  11. 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
    Content type: Research article Published on:

  12. With population aging and the scarcity of resources for elderly individuals, wearable devices pose opportunities and challenges for elderly care institutions. However, few studies have examined the effects of ...

    Authors: Ying Wang, Liyan Lu, Rui Zhang, Yiming Ma, Shuping Zhao and Changyong Liang
    Citation: BMC Medical Informatics and Decision Making 2023 23:218
    Content type: Research Published on:

  13. 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
    Content type: Research article Published on:

  14. 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
    Content type: Research Published on:

  15. 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
    Content type: Research Published on:

  16. 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
    Content type: Research Published on:

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

  17. 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
    Content type: Research Published on:

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

  18. 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
    Content type: Research article Published on:

  19. This study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the abil...

    Authors: Jiaye Sun, Shijun Shao, Hua Wan, Xueqing Wu, Jiamei Feng, Qingqian Gao, Wenchao Qu and Lu Xie
    Citation: BMC Medical Informatics and Decision Making 2024 24:106
    Content type: Research Published on:

  20. 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
    Content type: Research Published on:

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

  21. 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
    Content type: Research article Published on:

  22. 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
    Content type: Research article Published on:

  23. 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
    Content type: Research article Published on:

  24. 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
    Content type: Research Published on:

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

  25. 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
    Content type: Research Published on:

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

  26. 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
    Content type: Research article Published on:

  27. 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
    Content type: Research Published on:

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

  28. 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
    Content type: Research article Published on:

  29. 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
    Content type: Research article Published on:

  30. 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
    Content type: Research Published on:

  31. 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
    Content type: Research article Published on:
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    3.9 - 5-year Impact Factor
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BMC Medical Informatics and Decision Making

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