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

Page 8 of 14

  1. Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was...

    Authors: Jani Paulin, Akseli Reunamo, Jouni Kurola, Hans Moen, Sanna Salanterä, Heikki Riihimäki, Tero Vesanen, Mari Koivisto and Timo Iirola
    Citation: BMC Medical Informatics and Decision Making 2022 22:166
  2. Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to ...

    Authors: Jihad S. Obeid, Erin R. Weeda, Andrew J. Matuskowitz, Kevin Gagnon, Tami Crawford, Christine M. Carr and Lewis J. Frey
    Citation: BMC Medical Informatics and Decision Making 2019 19:164
  3. The ability to detect disease outbreaks in their early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatio-temporal ...

    Authors: Rochelle E Watkins, Serryn Eagleson, Sam Beckett, Graeme Garner, Bert Veenendaal, Graeme Wright and Aileen J Plant
    Citation: BMC Medical Informatics and Decision Making 2007 7:4
  4. While many studies have tested the impact of a decision aid (DA) compared to not receiving any DA, far fewer have tested how different types of DAs affect key outcomes such as treatment choice, patient–provide...

    Authors: Angela Fagerlin, Margaret Holmes-Rovner, Timothy P. Hofer, David Rovner, Stewart C. Alexander, Sara J. Knight, Bruce S. Ling, James A.Tulsky, John T. Wei, Khaled Hafez, Valerie C. Kahn, Daniel Connochie, Jeffery Gingrich and Peter A. Ubel
    Citation: BMC Medical Informatics and Decision Making 2021 21:154
  5. A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal...

    Authors: Chunhua Weng, Carol Friedman, Casey A. Rommel and John F. Hurdle
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):70

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

  6. Death certificates provide an invaluable source for mortality statistics which can be used for surveillance and early warnings of increases in disease activity and to support the development and monitoring of ...

    Authors: Bevan Koopman, Sarvnaz Karimi, Anthony Nguyen, Rhydwyn McGuire, David Muscatello, Madonna Kemp, Donna Truran, Ming Zhang and Sarah Thackway
    Citation: BMC Medical Informatics and Decision Making 2015 15:53
  7. In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, there...

    Authors: Zhiwei Chen, Zhe He, Xiuwen Liu and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):65

    This article is part of a Supplement: Volume 18 Supplement 2

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:73

  8. Using Conditional Random Fields (CRFs), a popular and successful method for natural language processing problems, sentences referring to Intervention, Participants...Intervention, Participant and Outcome Measures

    Authors: Grace Y Chung
    Citation: BMC Medical Informatics and Decision Making 2009 9:10
  9. The greatly accelerated development of information technology has conveniently provided adoption for risk stratification, which means more beneficial for both patients and clinicians. Risk stratification offer...

    Authors: Guanglei Yu, Linlin Zhang, Ying Zhang, Jiaqi Zhou, Tao Zhang and Xuehua Bi
    Citation: BMC Medical Informatics and Decision Making 2022 22:14
  10. There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate explora...

    Authors: Tian Bai, Ashis Kumar Chanda, Brian L. Egleston and Slobodan Vucetic
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):123

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

  11. Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes c...

    Authors: Ruth Reátegui and Sylvie Ratté
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 3):74

    This article is part of a Supplement: Volume 18 Supplement 3

  12. Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and cli...

    Authors: Rui Zhang, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Janet T. Lee, Yan Wang and Genevieve B. Melton
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):68

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

  13. Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis ...

    Authors: Suyan Tian, Chi Wang and Howard H. Chang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):115

    This article is part of a Supplement: Volume 18 Supplement 5

  14. We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.

    Authors: Peter Fritz, Andreas Kleinhans, Florian Kuisle, Patricius Albu, Christine Fritz-Kuisle and Mark Dominik Alscher
    Citation: BMC Medical Informatics and Decision Making 2017 17:103
  15. In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly introdu...

    Authors: Yaoyun Zhang, Cui Tao, Yang Gong, Kai Wang and Zhongming Zhao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):21

    This article is part of a Supplement: Volume 19 Supplement 1

  16. Although MIMIC-II, a public intensive care database, has been recognized as an invaluable resource for many medical researchers worldwide, becoming a proficient MIMIC-II researcher requires knowledge of SQL pr...

    Authors: Joon Lee, Evan Ribey and James R. Wallace
    Citation: BMC Medical Informatics and Decision Making 2016 16:15
  17. Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expand...

    Authors: Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam and Shayan Shams
    Citation: BMC Medical Informatics and Decision Making 2023 23:255
  18. The variety of medical documentation often leads to incompatible data elements that impede data integration between institutions. A common approach to standardize and distribute metadata definitions are ISO/IE...

    Authors: Stefan Hegselmann, Michael Storck, Sophia Gessner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Cornelia Mertens, Sarah Riepenhausen, Sonja Baier, Benedikt Stöcker, Jörg Henke, Carsten Oliver Schmidt and Martin Dugas
    Citation: BMC Medical Informatics and Decision Making 2021 21:160
  19. Eye tracking is commonly used in marketing to understand complex responses to materials, but has not been used to understand how low-literacy adults access health information or its relationship to decision ma...

    Authors: Sarah Bauerle Bass, Thomas F. Gordon, Ryan Gordon and Claudia Parvanta
    Citation: BMC Medical Informatics and Decision Making 2016 16:67
  20. We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the i...

    Authors: Jayden MacRae, Tom Love, Michael G. Baker, Anthony Dowell, Matthew Carnachan, Maria Stubbe and Lynn McBain
    Citation: BMC Medical Informatics and Decision Making 2015 15:78
  21. The pivot and cluster strategy (PCS) is a diagnostic reasoning strategy that automatically elicits disease clusters similar to a differential diagnosis in a batch. Although physicians know empirically which di...

    Authors: Daiki Yokokawa, Kazutaka Noda, Yasutaka Yanagita, Takanori Uehara, Yoshiyuki Ohira, Kiyoshi Shikino, Tomoko Tsukamoto and Masatomi Ikusaka
    Citation: BMC Medical Informatics and Decision Making 2022 22:322
  22. A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem...

    Authors: Sereh M. J. Simons, Felix H. J. M. Cillessen and Jan A. Hazelzet
    Citation: BMC Medical Informatics and Decision Making 2016 16:102
  23. While clinical entity recognition mostly aims at electronic health records (EHRs), there are also the demands of dealing with the other type of text data. Automatic medical diagnosis is an example of new appli...

    Authors: Young-Min Kim and Tae-Hoon Lee
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 7):242

    This article is part of a Supplement: Volume 20 Supplement 7

  24. Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured d...

    Authors: Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar and Kamal Jethwani
    Citation: BMC Medical Informatics and Decision Making 2018 18:44
  25. Extracting relations between bio-entities from biomedical literature is often a challenging task and also an essential step towards biomedical knowledge expansion. The BioCreative community has organized a sha...

    Authors: Suwen Liu, Yifan Shao, Longhua Qian and Guodong Zhou
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):63

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

  26. Alzheimer’s Disease (AD) is a devastating disease that destroys memory and other cognitive functions. There has been an increasing research effort to prevent and treat AD. In the US, two major data sharing res...

    Authors: Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E. Schulz and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 3):103

    This article is part of a Supplement: Volume 24 Supplement 3

  27. Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, bu...

    Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce and Majid Afshar
    Citation: BMC Medical Informatics and Decision Making 2020 20:79
  28. Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers...

    Authors: Zhiheng Li, Zhihao Yang, Chen Shen, Jun Xu, Yaoyun Zhang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):22

    This article is part of a Supplement: Volume 19 Supplement 1

  29. Healthcare is increasingly digitized, yet remote and automated machine learning (ML) triage prediction systems for virtual urgent care use remain limited. The Canadian Triage and Acuity Scale (CTAS) is the gol...

    Authors: Justin N. Hall, Ron Galaev, Marina Gavrilov and Shawn Mondoux
    Citation: BMC Medical Informatics and Decision Making 2023 23:200
  30. Accurate, coded problem lists are valuable for data reuse, including clinical decision support and research. However, healthcare providers frequently modify coded diagnoses by including or removing common cont...

    Authors: Eva S. Klappe, Florentien J. P. van Putten, Nicolette F. de Keizer and Ronald Cornet
    Citation: BMC Medical Informatics and Decision Making 2021 21:120
  31. Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is diff...

    Authors: Fei Zhang, Bo Sun, Xiaolin Diao, Wei Zhao and Ting Shu
    Citation: BMC Medical Informatics and Decision Making 2021 21:38
  32. Extracting useful information from biomedical literature plays an important role in the development of modern medicine. In natural language processing, there have been rigorous attempts to find...

    Authors: Go Eun Heo, Qing Xie, Min Song and Jeong-Hoon Lee
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):240

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

  33. The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it is estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, eve...

    Authors: Carlos Luis Sanchez Bocanegra, Jose Luis Sevillano Ramos, Carlos Rizo, Anton Civit and Luis Fernandez-Luque
    Citation: BMC Medical Informatics and Decision Making 2017 17:63
  34. With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patient...

    Authors: Rahul Kashyap, Kumar Sarvottam, Gregory A. Wilson, Jacob C. Jentzer, Mohamed O. Seisa and Kianoush B. Kashani
    Citation: BMC Medical Informatics and Decision Making 2020 20:85
  35. An Informatics Consult has been proposed in which clinicians request novel evidence from large scale health data resources, tailored to the treatment of a specific patient. However, the availability of such co...

    Authors: Alvina G. Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve Harris, Sylvia Richardson…
    Citation: BMC Medical Informatics and Decision Making 2021 21:281
  36. The provision of additional information is often assumed to improve consumption decisions, allowing consumers to more accurately weigh the costs and benefits of alternatives. However, increasing the complexity...

    Authors: Jean Spinks and Duncan Mortimer
    Citation: BMC Medical Informatics and Decision Making 2016 16:14
  37. Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medi...

    Authors: Jannik Schaaf, Hans-Ulrich Prokosch, Martin Boeker, Johanna Schaefer, Jessica Vasseur, Holger Storf and Martin Sedlmayr
    Citation: BMC Medical Informatics and Decision Making 2020 20:230
  38. 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
  39. Many patients with atrial fibrillation (AF) remain undiagnosed despite availability of interventions to reduce stroke risk. Predictive models to date are limited by data requirements and theoretical usage. We ...

    Authors: Randall W. Grout, Siu L. Hui, Timothy D. Imler, Sarah El-Azab, Jarod Baker, George H. Sands, Mohammad Ateya and Francis Pike
    Citation: BMC Medical Informatics and Decision Making 2021 21:112
  40. Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibility criteria for observational studies or clinical trials, require medical data in a consistent structured, coded format...

    Authors: Jeffrey G. Klann, Lori C. Phillips, Alexander Turchin, Sarah Weiler, Kenneth D. Mandl and Shawn N. Murphy
    Citation: BMC Medical Informatics and Decision Making 2015 15:104
  41. The National Cancer Institute (NCI) Thesaurus provides reference terminology for NCI and other systems. Previously, we proposed a hybrid prototype utilizing lexical features and role definitions of concepts in...

    Authors: Fengbo Zheng, Rashmie Abeysinghe, Nicholas Sioutos, Lori Whiteman, Lyubov Remennik and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):273

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

  42. Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few...

    Authors: Yukun Chen, Thomas A. Lask, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):82

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

  43. The adoption of the electronic medical record (EMR) is rapidly growing in China. Constantly evolving, Chinese EMRs contain vast amounts of clinical and financial data, providing tremendous potential for resear...

    Authors: Yuan Xu, Ning Li, Mingshan Lu, Robert P. Myers, Elijah Dixon, Robin Walker, Libo Sun, Xiaofei Zhao and Hude Quan
    Citation: BMC Medical Informatics and Decision Making 2016 16:110
  44. A large collection of dialogues between patients and doctors must be annotated for medical named entities to build intelligence for telemedicine. However, since most patients involved in telemedicine deliver r...

    Authors: Shanshan Wang, Yajing Yan, Rong Yan, Ting Li, Kaijie Ma and Yani Yan
    Citation: BMC Medical Informatics and Decision Making 2023 23:264
  45. Drug repurposing speeds up the development of new treatments, being less costly, risky, and time consuming than de novo drug discovery. There are numerous biological elements that contribute to the development...

    Authors: Natalia García Sánchez, Esther Ugarte Carro, Lucía Prieto-Santamaría and Alejandro Rodríguez-González
    Citation: BMC Medical Informatics and Decision Making 2024 24:122
  46. Clinical phenotype information greatly facilitates genetic diagnostic interpretations pipelines in disease. While post-hoc extraction using natural language processing on unstructured clinical notes continues to ...

    Authors: James M. Havrilla, Anbumalar Singaravelu, Dennis M. Driscoll, Leonard Minkovsky, Ingo Helbig, Livija Medne, Kai Wang, Ian Krantz and Bimal R. Desai
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):198

    This article is part of a Supplement: Volume 22 Supplement 2

  47. This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clini...

    Authors: Wangjin Lee and Jinwook Choi
    Citation: BMC Medical Informatics and Decision Making 2019 19:132

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