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

Page 14 of 15

  1. In this paper, we focus on assessing performance on extracting the relations in the corpus, using gold standard entities as a starting point, to establish a baseline for extraction of relations important for extr...

    Authors: Karin M. Verspoor, Go Eun Heo, Keun Young Kang and Min Song
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):68

    This article is part of a Supplement: Volume 16 Supplement 1

  2. When a new drug is launched onto the market, information about the new manufactured product is contained in its monograph and evaluation report published by national drug agencies. Health professionals need to...

    Authors: Maia Iordatii, Alain Venot and Catherine Duclos
    Citation: BMC Medical Informatics and Decision Making 2013 13:10
  3. Data collected in EHRs have been widely used to identifying specific conditions; however there is still a need for methods to define comorbidities and sources to identify comorbidities burden. We propose an ap...

    Authors: Jean-Baptiste Escudié, Bastien Rance, Georgia Malamut, Sherine Khater, Anita Burgun, Christophe Cellier and Anne-Sophie Jannot
    Citation: BMC Medical Informatics and Decision Making 2017 17:140
  4. Main adverse cardiac events (MACE) are essentially composite endpoints for assessing safety and efficacy of treatment processes of acute coronary syndrome (ACS) patients. Timely prediction of MACE is highly va...

    Authors: Huilong Duan, Zhoujian Sun, Wei Dong and Zhengxing Huang
    Citation: BMC Medical Informatics and Decision Making 2019 19:5
  5. Electronic medical record systems are being implemented in many countries to support healthcare services. However, its adoption rate remains low, especially in developing countries due to technological, financ...

    Authors: Senafekesh Biruk, Tesfahun Yilma, Mulusew Andualem and Binyam Tilahun
    Citation: BMC Medical Informatics and Decision Making 2014 14:115
  6. The most important knowledge in the field of patient safety is regarding the prevention and reduction of patient safety events (PSE) during treatment and care. The similarities and patterns among the events ma...

    Authors: Hong Kang and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):75

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

  7. Prostate-Specific Antigen (PSA) screening for early detection of prostate cancer (PCa) may prevent some cancer deaths, but also may miss some cancers or lead to unnecessary and potentially harmful treatment. T...

    Authors: Søren Birkeland, Susanne S. Pedersen, Anders K. Haakonsson, Michael J. Barry and Nina Rottmann
    Citation: BMC Medical Informatics and Decision Making 2020 20:65
  8. The intensive care unit (ICU) length of stay (LOS) of patients undergoing cardiac surgery may vary considerably, and is often difficult to predict within the first hours after admission. The early clinical evo...

    Authors: Geert Meyfroidt, Fabian Güiza, Dominiek Cottem, Wilfried De Becker, Kristien Van Loon, Jean-Marie Aerts, Daniël Berckmans, Jan Ramon, Maurice Bruynooghe and Greet Van den Berghe
    Citation: BMC Medical Informatics and Decision Making 2011 11:64
  9. Management of diabetes through improved glycemic control and risk factor modification can help prevent long-term complications. Much diabetes management is self-management, in which healthcare providers play a...

    Authors: Laura Desveaux, Payal Agarwal, Jay Shaw, Jennifer M. Hensel, Geetha Mukerji, Nike Onabajo, Husayn Marani, Trevor Jamieson, Onil Bhattacharyya, Danielle Martin, Muhammad Mamdani, Lianne Jeffs, Walter P. Wodchis, Noah M. Ivers and R. Sacha Bhatia
    Citation: BMC Medical Informatics and Decision Making 2016 16:144
  10. Acute Kidney Injury (AKI) occurs in at least 5 % of hospitalized patients and can result in 40–70 % morbidity and mortality. Even following recovery, many subjects may experience progressive deterioration of r...

    Authors: Rohit J. Kate, Ruth M. Perez, Debesh Mazumdar, Kalyan S. Pasupathy and Vani Nilakantan
    Citation: BMC Medical Informatics and Decision Making 2016 16:39
  11. Diagnosis-related groups (DRGs) are a payment system that could effectively solve the problem of excessive increases in healthcare costs which are applied as a principal measure in the healthcare reform in Chi...

    Authors: Xiaoting Liu, Chenhao Fang, Chao Wu, Jianxing Yu and Qi Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21:312
  12. Parents who have to make tracheostomy decisions for their critically ill child may face forecasting errors and wish to learn from peer parents. We sought to develop an intervention with peer parent narratives ...

    Authors: Haoyang Yan, Stephanie K. Kukora, Kenneth Pituch, Patricia J. Deldin, Cynthia Arslanian-Engoren and Brian J. Zikmund-Fisher
    Citation: BMC Medical Informatics and Decision Making 2022 22:197
  13. The Chinese assessment standards of the International Classification of Functioning, Disability and Health Rehabilitation Set is available now. It is coming to be used as a basic functional evaluation tool in ...

    Authors: Malan Zhang, Jiani Yu, Wei Shen, Yun Zhang, Yun Xiang, Xinting Zhang, Ziling Lin and Tiebin Yan
    Citation: BMC Medical Informatics and Decision Making 2020 20:12
  14. Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the ...

    Authors: V.G.Vinod Vydiswaran and Manoj Reddy
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):68

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

  15. Around 300 million people worldwide have asthma and prevalence is increasing. Self-management can be effective in improving a range of outcomes and is cost effective, but is underutilised as a treatment strate...

    Authors: Deborah Morrison, Frances S. Mair, Rekha Chaudhuri, Marilyn McGee-Lennon, Mike Thomas, Neil C. Thomson, Lucy Yardley and Sally Wyke
    Citation: BMC Medical Informatics and Decision Making 2015 15:57
  16. Data-intensive research in medicine and healthcare such as health-related big data research (HBDR) implies that data from clinical routine, research and patient-reported data, but also non-medical social or de...

    Authors: Katharina Beier, Mark Schweda and Silke Schicktanz
    Citation: BMC Medical Informatics and Decision Making 2019 19:90
  17. 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

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

  18. Accurately recognizing rare diseases based on symptom description is an important task in patient triage, early risk stratification, and target therapies. However, due to the very nature of rare diseases, the ...

    Authors: Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng and Qiaozhu Mei
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):238

    This article is part of a Supplement: Volume 19 Supplement 5

  19. This study aimed to develop a higher performance nomogram based on explainable machine learning methods, and to predict the risk of death of stroke patients within 30 days based on clinical characteristics on ...

    Authors: Haoran Chen, Fengchun Yang, Yifan Duan, Lin Yang and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2024 24:161
  20. 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
  21. 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
  22. 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

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

  23. 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
  24. 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
  25. 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

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

  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. The Australian healthcare sector is a complex mix of government departments, associations, providers, professionals, and consumers. Cybersecurity attacks, which have recently increased, challenge the sector in...

    Authors: Wendy Burke, Andrew Stranieri, Taiwo Oseni and Iqbal Gondal
    Citation: BMC Medical Informatics and Decision Making 2024 24:133
  34. 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

  35. 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

  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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

  43. 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

  44. 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

  45. 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
  46. 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

  47. 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
  48. 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
  49. 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

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    Source Normalized Impact per Paper (SNIP): 1.304
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    Submission to first editorial decision (median days): 18
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