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385 result(s) within Volume 21 of BMC Medical Informatics and Decision Making

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  1. Many circumstances necessitate judgments regarding causation in health information systems, but these can be tricky in medicine and epidemiology. In this article, we reflect on what the ICD-11 Reference Guide ...

    Authors: Jean-Marie Januel, Danielle A. Southern and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2023 21(Suppl 6):385
    Content type: Review Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  2. 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

  3. The World Health Organization’s (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified thr...

    Authors: Alan J. Forster, Christopher G. Chute, Harold Alan Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2023 21(Suppl 6):383
    Content type: Commentary Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  4. Colorectal cancer (CRC) is a heterogeneous disease with different responses to targeted therapies due to various factors, and the treatment effect differs significantly between individuals. Personalize medical...

    Authors: Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue and Ping Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 11):369
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 11

  5. Diagnoses that arise after admission are of interest because they can represent complications of health care, acute conditions arising de novo, or acute decompensation of a chronic comorbidity occurring during...

    Authors: Vijaya Sundararajan, Marie-Annick Le Pogam, Danielle A. Southern, Harold Alan Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):382
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  6. Traditional medicine (TM) is practiced in various forms in over 180 countries. Despite this, health information systems on TM are limited. Consistent with this, the World Health Organization’s (WHO) internatio...

    Authors: Bill Reddy and Arthur Yin Fan
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):381
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  7. Accurate data collection of healthcare-related adverse events provides a foundation for quality and health system improvement. The International Classification of Diseases for Mortality and Morbidity Statistic...

    Authors: Cathy A. Eastwood, Shahreen Khair and Danielle A. Southern
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):380
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  8. A new coding feature introduced with ICD-11, the 11th revision of the International Classification of Diseases (ICD), is postcoordination, which supports combining (linking) two or more codes into a cluster th...

    Authors: Kristy Mabon, Olafr Steinum and Christopher G. Chute
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):379
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  9. The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. Th...

    Authors: Christopher G. Chute and Can Çelik
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):378
    Content type: Review Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  10. Natural language processing (NLP) tasks in the health domain often deal with limited amount of labeled data due to high annotation costs and naturally rare observations. To compensate for the lack of training ...

    Authors: Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei and Yue Wang
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 9):377
    Content type: Research Published on:

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

  11. ICD-11 provides a promising new way to capture healthcare-related harm or injury. In this paper, we elaborate on the framework for describing healthcare-related events where there is a presumed causal link bet...

    Authors: Danielle A. Southern, James E. Harrison, Patrick S. Romano, Marie-Annick Le Pogam, Harold A. Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):376
    Content type: Review Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  12. Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to suppor...

    Authors: Wenyan Tan, Heng Weng, Haicheng Lin, Aihua Ou, Zehui He and Fujun Jia
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 9):375
    Content type: Research Published on:

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

  13. A shared decision-making model is preferred for engaging prostate cancer patients in treatment decisions. However, the process of assessing an individual’s preferences and values is challenging and not formali...

    Authors: Hilary P. Bagshaw, Alejandro Martinez, Nastaran Heidari, David Scheinker, Alan Pollack, Radka Stoyanova, Eric Horwitz, Gerard Morton, Amar U. Kishan and Mark K. Buyyounouski
    Citation: BMC Medical Informatics and Decision Making 2021 21:374
    Content type: Research Published on:

  14. The health management information system has been implemented at all levels of healthcare delivery to ensure quality data production and information use in Ethiopia. Including the capacity-building activities ...

    Authors: Binyam Tilahun, Lemma Derseh, Asmamaw Atinafu, Adane Mamuye, Tesfahun H. Mariam, Mesoud Mohammed, Teklehayimanot G. Hiwot and Berhanu Fikadie Endehabtu
    Citation: BMC Medical Informatics and Decision Making 2021 21:373
    Content type: Research Published on:

  15. Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied to building applications to understand these records. Most previous m...

    Authors: Ming Cheng, Shufeng Xiong, Fei Li, Pan Liang and Jianbo Gao
    Citation: BMC Medical Informatics and Decision Making 2021 21:372
    Content type: Research Published on:

  16. For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the hospitalization time of patients, and leads to large increases in hospit...

    Authors: Siyu Zeng, Lele Li, Yanjie Hu, Li Luo and Yuanchen Fang
    Citation: BMC Medical Informatics and Decision Making 2021 21:371
    Content type: Research Published on:

  17. 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:

  18. Relation extraction (RE) is a fundamental task of natural language processing, which always draws plenty of attention from researchers, especially RE at the document-level. We aim to explore an effective novel...

    Authors: Tao Li, Ying Xiong, Xiaolong Wang, Qingcai Chen and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):368
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 7

  19. The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related states developed by the World Health Organization (WHO) to provide a standard and u...

    Authors: Silvia Cozzi, Andrea Martinuzzi and Vincenzo Della Mea
    Citation: BMC Medical Informatics and Decision Making 2021 21:367
    Content type: Research article Published on:

  20. Digital health technologies can support primary care delivery, but clinical uptake in primary care is limited. This study explores enablers and barriers experienced by primary care providers when adopting new ...

    Authors: Hardeep Singh, Farah Tahsin, Jason Xin Nie, Brian McKinstry, Kednapa Thavorn, Ross Upshur, Sarah Harvey, Walter P. Wodchis and Carolyn Steele Gray
    Citation: BMC Medical Informatics and Decision Making 2021 21:366
    Content type: Research Published on:

  21. Currently, cardiovascular disease has become a major disease endangering human health, and the number of such patients is growing. Electrocardiogram (ECG) is an important basis for {medical doctors to diagnose...

    Authors: Jinyong Cheng, Qingxu Zou and Yunxiang Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21:365
    Content type: Research Published on:

  22. Rapid and irregular ventricular rates (RVR) are an important consequence of atrial fibrillation (AF). Raw accelerometry data in combination with electrocardiogram (ECG) data have the potential to distinguish i...

    Authors: Zhi Li, Kevin M. Wheelock, Sangeeta Lathkar-Pradhan, Hakan Oral, Daniel J. Clauw, Pujitha Gunaratne, Jonathan Gryak, Kayvan Najarian, Brahmajee K. Nallamothu and Hamid Ghanbari
    Citation: BMC Medical Informatics and Decision Making 2021 21:364
    Content type: Research Published on:

  24. Electronic medical records systems (EMRs) adoption in healthcare to facilitate work processes have become common in many countries. Although EMRs are associated with quality patient care, patient safety, and c...

    Authors: Philomena N. Ngugi, Martin C. Were and Ankica Babic
    Citation: BMC Medical Informatics and Decision Making 2021 21:362
    Content type: Research Published on:

  25. Mood disorders (MDS) are a type of mental health illness that effects millions of people in the United States. Early prediction of MDS can give providers greater opportunity to treat these disorders. We hypoth...

    Authors: Aixia Guo, Kari A. Stephens, Yosef M. Khan, James R. Langabeer and Randi E. Foraker
    Citation: BMC Medical Informatics and Decision Making 2021 21:361
    Content type: Research article Published on:

  26. Numerous pieces of clinical evidence have shown that many phenotypic traits of human disease are related to their gut microbiome, i.e., inflammation, obesity, HIV, and diabetes. Through supervised classificati...

    Authors: Jiayu Zhou, Yanqing Ye and Jiang Jiang
    Citation: BMC Medical Informatics and Decision Making 2021 21:360
    Content type: Research article Published on:

  27. 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
    Content type: Research article Published on:

  28. Extensive sequencing of tumor tissues has greatly improved our understanding of cancer biology over the past years. The integration of genomic and clinical data is increasingly used to select personalized ther...

    Authors: Arsenij Ustjanzew, Alexander Desuki, Christoph Ritzel, Alina Corinna Dolezilek, Daniel-Christoph Wagner, Jan Christoph, Philipp Unberath, Thomas Kindler, Jörg Faber, Federico Marini, Torsten Panholzer and Claudia Paret
    Citation: BMC Medical Informatics and Decision Making 2021 21:358
    Content type: Software Published on:

  29. Loss to follow-up (LFTU) among HIV patients remains a major obstacle to achieving treatment goals with the risk of failure to achieve viral suppression and thereby increased HIV transmission. Although use of c...

    Authors: Tom Oluoch, Ronald Cornet, Jacques Muthusi, Abraham Katana, Davies Kimanga, Daniel Kwaro, Nicky Okeyo, Ameen Abu-Hanna and Nicolette de Keizer
    Citation: BMC Medical Informatics and Decision Making 2021 21:357
    Content type: Research article Published on:

  30. Data-driven process analysis is an important area that relies on software support. Process variant analysis is a sort of analysis technique in which analysts compare executed process variants, a.k.a. process c...

    Authors: Amin Jalali, Paul Johannesson, Erik Perjons, Ylva Askfors, Abdolazim Rezaei Kalladj, Tero Shemeikka and Anikó Vég
    Citation: BMC Medical Informatics and Decision Making 2021 21:356
    Content type: Software Published on:

  31. 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:

  32. Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack ...

    Authors: Jianfei Pang, Haifeng Xu, Jun Ren, Jun Yang, Mei Li, Dan Lu and Dongsheng Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21:354
    Content type: Research Published on:

  33. Information retrieval (IR) help clinicians answer questions posed to large collections of electronic medical records (EMRs), such as how best to identify a patient’s cancer stage. One of the more promising app...

    Authors: Cheng Ye, Bradley A. Malin and Daniel Fabbri
    Citation: BMC Medical Informatics and Decision Making 2021 21:353
    Content type: Research Published on:

  34. Semantic annotators and Natural Language Processing (NLP) methods for Named Entity Recognition and Linking (NER+L) require plenty of training and test data, especially in the biomedical domain. Despite the abunda...

    Authors: Fabio Giachelle, Ornella Irrera and Gianmaria Silvello
    Citation: BMC Medical Informatics and Decision Making 2021 21:352
    Content type: Software Published on:

  35. This study aimed to assess the performance improvement for machine learning-based hospital length of stay (LOS) predictions when clinical signs written in text are accounted for and compared to the traditional...

    Authors: Jan Chrusciel, François Girardon, Lucien Roquette, David Laplanche, Antoine Duclos and Stéphane Sanchez
    Citation: BMC Medical Informatics and Decision Making 2021 21:351
    Content type: Research Published on:

  36. Patients with severe Coronavirus disease 19 (COVID-19) typically require supplemental oxygen as an essential treatment. We developed a machine learning algorithm, based on deep Reinforcement Learning (RL), for...

    Authors: Hua Zheng, Jiahao Zhu, Wei Xie and Judy Zhong
    Citation: BMC Medical Informatics and Decision Making 2021 21:350
    Content type: Research Published on:

  37. In 2008, the Institut Català de la Salut (ICS, Catalan Health Institute) implemented a prescription decision support system in its electronic clinical workstation (ECW), which automatically generates online al...

    Authors: M. Àngels Pons-Mesquida, Míriam Oms-Arias, Eduard Diogène-Fadini and Albert Figueras
    Citation: BMC Medical Informatics and Decision Making 2021 21:349
    Content type: Research Published on:

  38. 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
    Content type: Research Published on:

  39. Patients with hepatitis C virus (HCV) frequently remain at risk for cirrhosis after sustained virologic response (SVR). Existing cirrhosis predictive models for HCV do not account for dynamic antiviral treatme...

    Authors: Lauren A. Beste, Xuefei Zhang, Grace L. Su, Tony Van, George N. Ioannou, Brandon Oselio, Monica Tincopa, Boang Liu, Amit G. Singal, Ji Zhu and Akbar K. Waljee
    Citation: BMC Medical Informatics and Decision Making 2021 21:347
    Content type: Research Published on:

  40. Online doctor–patient consultation is a new option for orthopedic patients in China to obtain a diagnosis and treatment advice. This study explores the factors associated with online consultation to formulate ...

    Authors: Ping Lei, Jianjun Zheng, Yun Li, Zhongjiang Li, Fei Gao and Xuesong Li
    Citation: BMC Medical Informatics and Decision Making 2021 21:346
    Content type: Research Published on:

  41. Asthma is a chronic disease that exacerbates due to various risk factors, including the patient’s biosignals and environmental conditions. It is affecting on average 7% of the world population. Preventing an a...

    Authors: Eman T. Alharbi, Farrukh Nadeem and Asma Cherif
    Citation: BMC Medical Informatics and Decision Making 2021 21:345
    Content type: Research Published on:

  43. Alzheimer’s disease (AD) is a highly heterogeneous disease with diverse trajectories and outcomes observed in clinical populations. Understanding this heterogeneity can enable better treatment, prognosis and d...

    Authors: Nonie Alexander, Daniel C. Alexander, Frederik Barkhof and Spiros Denaxas
    Citation: BMC Medical Informatics and Decision Making 2021 21:343
    Content type: Research Published on:

  45. Although deep neural networks (DNNs) are showing state of the art performance in clinical gait analysis, they are considered to be black-box algorithms. In other words, there is a lack of direct understanding ...

    Authors: Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer, Muhammad Raheel Afzal, Joke Spildooren, Bart Vanrumste and Peter Slaets
    Citation: BMC Medical Informatics and Decision Making 2021 21:341
    Content type: Research article Published on:

  46. Recently, decision-making process has become increasingly complex. But there is limited information on Chinese patients’ views of shared decision making (SDM) in inflammatory bowel disease (IBD). This question...

    Authors: Dingting Xu, Hanyun Zhang and Yan Chen
    Citation: BMC Medical Informatics and Decision Making 2021 21:340
    Content type: Research Published on:

  47. Telehealth technology and related products can help to solve the problems associated with providing health care services and equal distribution of resources. However, in order to run a telehealth business succ...

    Authors: Farnia Velayati, Haleh Ayatollahi, Morteza Hemmat and Reza Dehghan
    Citation: BMC Medical Informatics and Decision Making 2021 21:339
    Content type: Research Published on:

  48. Neonatal jaundice may cause severe neurological damage if poorly evaluated and diagnosed when high bilirubin occurs. The study explored how to effectively integrate high-dimensional genetic features into predi...

    Authors: Haowen Deng, Youyou Zhou, Lin Wang and Cheng Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21:338
    Content type: Research Published on:

  49. Authors: Elisa Puigdomenech, Anne Martin, Alexandra Lang, Fulvio Adorni, Santiago Felipe Gomez, Brian McKinstry, Federica Prinelli, Laura Condon, Rajeeb Rashid, Maurizio Caon, Sarah Atkinson, Claudio L. Lafortuna, Valentina Ciociola, Janet Hanley, Lucy McCloughan, Conxa Castell…
    Citation: BMC Medical Informatics and Decision Making 2021 21:337
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2019 19:278

  50. Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (MedKGC). MedKGC can find new facts based on...

    Authors: Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu and Jun Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):335
    Content type: Review Published on:

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

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