Skip to main content

Articles

Page 3 of 46

  1. Internet-based technologies play an increasingly important role in the management and outcome of patients with chronic kidney disease (CKD). The healthcare system is currently flooded with digital innovations ...

    Authors: Lena Schiffer, Raoul Gertges, Mariel Nöhre, Elisabeth Schieffer, Uwe Tegtbur, Lars Pape, Martina de Zwaan and Mario Schiffer

    Citation: BMC Medical Informatics and Decision Making 2021 21:34

    Content type: Research article

    Published on:

  2. Quantitative data reports are widely produced to inform health policy decisions. Policymakers are expected to critically assess provided information in order to incorporate the best available evidence into the...

    Authors: Pamela Wronski, Michel Wensing, Sucheta Ghosh, Lukas Gärttner, Wolfgang Müller and Jan Koetsenruijter

    Citation: BMC Medical Informatics and Decision Making 2021 21:32

    Content type: Research article

    Published on:

  3. The Elderly and their caregivers need credible health information to manage elderly chronic diseases and help them to be involved in health decision making. In this regard, health websites are considered as a ...

    Authors: Saeideh Valizadeh-Haghi, Shahabedin Rahmatizadeh, Ali Soleimaninejad, Seyedeh Fatemeh Mousavi Shirazi and Parisa Mollaei

    Citation: BMC Medical Informatics and Decision Making 2021 21:31

    Content type: Research article

    Published on:

  4. Informed consent is required for participation in clinical trials, however trials involving adults who lack capacity to consent require different enrolment processes. A family member usually acts as a proxy to...

    Authors: Victoria Shepherd, Fiona Wood, Richard Griffith, Mark Sheehan and Kerenza Hood

    Citation: BMC Medical Informatics and Decision Making 2021 21:30

    Content type: Technical advance

    Published on:

  5. Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI)...

    Authors: Imjin Ahn, Wonjun Na, Osung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun and Young-Hak Kim

    Citation: BMC Medical Informatics and Decision Making 2021 21:29

    Content type: Research article

    Published on:

  6. Health Information System is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it ...

    Authors: Moges Asressie Chanyalew, Mezgebu Yitayal, Asmamaw Atnafu and Binyam Tilahun

    Citation: BMC Medical Informatics and Decision Making 2021 21:28

    Content type: Research article

    Published on:

  7. Prescription medication (PM) misuse/abuse has emerged as a national crisis in the United States, and social media has been suggested as a potential resource for performing active monitoring. However, automatin...

    Authors: Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O’Connor, Gonzalez-Hernandez Graciela, Jeanmarie Perrone and Abeed Sarker

    Citation: BMC Medical Informatics and Decision Making 2021 21:27

    Content type: Research article

    Published on:

  8. Birthweight is an important indicator during the fetal development process to protect the maternal and infant safety. However, birthweight is difficult to be directly measured, and is usually roughly estimated...

    Authors: Jing Tao, Zhenming Yuan, Li Sun, Kai Yu and Zhifen Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:26

    Content type: Research article

    Published on:

  9. The use of information technologies could help to improve communications between patients and care providers, might improve overall patient management practice. However, the potential for implementing these pa...

    Authors: Binyam Tariku Seboka, Tesfahun Melese Yilma and Abraham Yeneneh Birhanu

    Citation: BMC Medical Informatics and Decision Making 2021 21:24

    Content type: Research article

    Published on:

  10. Physical inactivity is a global health concern. mHealth interventions have become increasingly popular, but to date, principles of effective communication from Self-Determination Theory have not been integrate...

    Authors: Joanna Catherine Nicholas, Nikos Ntoumanis, Brendan John Smith, Eleanor Quested, Emmanuel Stamatakis and Cecilie Thøgersen-Ntoumani

    Citation: BMC Medical Informatics and Decision Making 2021 21:23

    Content type: Research article

    Published on:

  11. Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level...

    Authors: Xia Yu, Ning Ma, Tao Yang, Yawen Zhang, Qing Miao, Junjun Tao, Hongru Li, Yiming Li and Yehong Yang

    Citation: BMC Medical Informatics and Decision Making 2021 21:22

    Content type: Research article

    Published on:

  12. In recent years, a significant change has taken place in the health care delivery systems due to the availability of smartphones and mobile software applications. The use of mobile technology can help to reduc...

    Authors: P. Pokhrel, R. Karmacharya, T. Taylor Salisbury, K. Carswell, B. A. Kohrt, M. J. D. Jordans, H. Lempp, G. Thornicroft and N. P. Luitel

    Citation: BMC Medical Informatics and Decision Making 2021 21:21

    Content type: Research article

    Published on:

  13. Studies have revealed inappropriate laboratory testing as a source of waste. This review aimed at evaluating the effects and features of CDSSs on physicians' appropriate laboratory test ordering in inpatient h...

    Authors: Sahar Zare, Zahra Meidani, Mohammad Shirdeli and Ehsan Nabovati

    Citation: BMC Medical Informatics and Decision Making 2021 21:20

    Content type: Research article

    Published on:

  14. CPGs are not uniformly successful in improving care and several instances of implementation failure have been reported. Performing a comprehensive assessment of the barriers and enablers is key to developing a...

    Authors: Ying-hui Jin, Li-Ming Tan, Khalid S. Khan, Tong Deng, Chao Huang, Fei Han, Jing Zhang, Qiao Huang, Di Huang, Dan-qi Wang, Yu Wang, Xian-tao Zeng, Qiang Wang and Xing-huan Wang

    Citation: BMC Medical Informatics and Decision Making 2021 21:19

    Content type: Research article

    Published on:

  15. Access to and use of digital technology are more common among people of more advantaged socioeconomic status. These differences might be due to lack of interest, not having physical access or having lower inte...

    Authors: Ivana Paccoud, Michèle Baumann, Etienne Le Bihan, Benoît Pétré, Mareike Breinbauer, Philip Böhme, Louis Chauvel and Anja K. Leist

    Citation: BMC Medical Informatics and Decision Making 2021 21:18

    Content type: Research article

    Published on:

  16. Assessment of functional ability, including activities of daily living (ADLs), is a manual process completed by skilled health professionals. In the presented research, an automated decision support tool, the ...

    Authors: Janusz Wojtusiak, Negin Asadzadehzanjani, Cari Levy, Farrokh Alemi and Allison E. Williams

    Citation: BMC Medical Informatics and Decision Making 2021 21:17

    Content type: Research article

    Published on:

  17. Statistical data analysis, especially the advanced machine learning (ML) methods, have attracted considerable interest in clinical practices. We are looking for interpretability of the diagnostic/prognostic re...

    Authors: Pei-Yuan Zhou and Andrew K. C. Wong

    Citation: BMC Medical Informatics and Decision Making 2021 21:16

    Content type: Research article

    Published on:

  18. The Coronavirus Disease 2019 (COVID-19) pandemic has infected over 10 million people globally with a relatively high mortality rate. There are many therapeutics undergoing clinical trials, but there is no effe...

    Authors: Fuhai Li, Andrew P. Michelson, Randi Foraker, Ming Zhan and Philip R. O. Payne

    Citation: BMC Medical Informatics and Decision Making 2021 21:15

    Content type: Research article

    Published on:

  19. Under the influences of chemotherapy regimens, clinical staging, immunologic expressions and other factors, the survival rates of patients with diffuse large B-cell lymphoma (DLBCL) are different. The accurate...

    Authors: Shuanglong Fan, Zhiqiang Zhao, Hongmei Yu, Lei Wang, Chuchu Zheng, Xueqian Huang, Zhenhuan Yang, Meng Xing, Qing Lu and Yanhong Luo

    Citation: BMC Medical Informatics and Decision Making 2021 21:14

    Content type: Research article

    Published on:

  20. Videoconferencing has been proposed as a way of improving access to healthcare for older adults in care homes. Despite this, effective uptake of videoconferencing remains varied. This study evaluates a videoco...

    Authors: Louise Newbould, Steven Ariss, Gail Mountain and Mark S. Hawley

    Citation: BMC Medical Informatics and Decision Making 2021 21:13

    Content type: Research article

    Published on:

  21. Hospital-acquired pressure injuries (HAPrIs) are areas of damage to the skin occurring among 5–10% of surgical intensive care unit (ICU) patients. HAPrIs are mostly preventable; however, prevention may require...

    Authors: Jenny Alderden, Kathryn P. Drake, Andrew Wilson, Jonathan Dimas, Mollie R. Cummins and Tracey L. Yap

    Citation: BMC Medical Informatics and Decision Making 2021 21:12

    Content type: Research article

    Published on:

  22. The rapid growth of mobile technology has given rise to the development of mobile health (mHealth) applications aimed at treating and preventing a wide range of health conditions. However, evidence on the use ...

    Authors: Ernest Osei, Desmond Kuupiel, Portia Nelisiwe Vezi and Tivani P. Mashamba-Thompson

    Citation: BMC Medical Informatics and Decision Making 2021 21:11

    Content type: Research article

    Published on:

  23. The nursing process is the core and the standard of practice in nursing profession. Nowadays, the use of information technology in the field of nursing processes, education and practice has been emphasized. Si...

    Authors: Kobra Parvan, Fahimeh Alsadat Hosseini, Madineh Jasemi and Brian Thomson

    Citation: BMC Medical Informatics and Decision Making 2021 21:10

    Content type: Research article

    Published on:

  24. Although ophthalmic devices have made remarkable progress and are widely used, most lack standardization of both image review and results reporting systems, making interoperability unachievable. We developed a...

    Authors: Yongseok Mun, Jooyoung Kim, Kyoung Jin Noh, Soochahn Lee, Seok Kim, Soyoung Yi, Kyu Hyung Park, Sooyoung Yoo, Dong Jin Chang and Sang Jun Park

    Citation: BMC Medical Informatics and Decision Making 2021 21:9

    Content type: Software

    Published on:

  25. The patient ranking process for donor lung allocation in the United States is carried out by a classification-based, computerized algorithm, known as the match system. Experts have suggested that a continuous,...

    Authors: Darren E. Stewart, Dallas W. Wood, James B. Alcorn, Erika D. Lease, Michael Hayes, Brett Hauber and Rebecca E. Goff

    Citation: BMC Medical Informatics and Decision Making 2021 21:8

    Content type: Research article

    Published on:

  26. The cloud is a promising resource for data sharing and computing. It can optimize several legacy processes involving different units of a company or more companies. Recently, cloud technology applications are ...

    Authors: S. Bertuccio, G. Tardiolo, F. M. Giambò, G. Giuffrè, R. Muratore, C. Settimo, A. Raffa, S. Rigano, A. Bramanti, N. Muscarà and M. C. De Cola

    Citation: BMC Medical Informatics and Decision Making 2021 21:7

    Content type: Technical advance

    Published on:

  27. The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradicati...

    Authors: Milka Bochere Gesicho, Martin Chieng Were and Ankica Babic

    Citation: BMC Medical Informatics and Decision Making 2021 21:6

    Content type: Research article

    Published on:

  28. Cardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with CVD prevention. Predicting future CVH levels may help providers bette...

    Authors: Aixia Guo, Rahmatollah Beheshti, Yosef M. Khan, James R. Langabeer II and Randi E. Foraker

    Citation: BMC Medical Informatics and Decision Making 2021 21:5

    Content type: Research article

    Published on:

  29. Medication management processes in an Oncology setting are complex and difficult to examine in isolation from interrelated processes and contextual factors. This qualitative study aims to evaluate the usabilit...

    Authors: Racha Dabliz, Simon K. Poon, Angus Ritchie, Rosemary Burke and Jonathan Penm

    Citation: BMC Medical Informatics and Decision Making 2021 21:4

    Content type: Research article

    Published on:

  30. Next-generation sequencing provides comprehensive information about individuals’ genetic makeup and is commonplace in oncology clinical practice. However, the utility of genetic information in the clinical dec...

    Authors: Yiqing Zhao, Saravut J. Weroha, Ellen L. Goode, Hongfang Liu and Chen Wang

    Citation: BMC Medical Informatics and Decision Making 2021 21:3

    Content type: Research article

    Published on:

  31. Kidney transplant outcomes are broadly associated with transplant recipients’ capacity in following a complex and continuous self-management regimen. Health information technology has the potential to empower ...

    Authors: Saeid Eslami, Farnaz Khoshrounejad, Reza Golmakani, Zhila Taherzadeh, Fariba Tohidinezhad, Sayyed Mostafa Mostafavi and Raheleh Ganjali

    Citation: BMC Medical Informatics and Decision Making 2021 21:2

    Content type: Review

    Published on:

  32. Intrauterine Insemination (IUI) outcome prediction is a challenging issue which the assisted reproductive technology (ART) practitioners are dealing with. Predicting the success or failure of IUI based on the ...

    Authors: Sima Ranjbari, Toktam Khatibi, Ahmad Vosough Dizaji, Hesamoddin Sajadi, Mehdi Totonchi and Firouzeh Ghaffari

    Citation: BMC Medical Informatics and Decision Making 2021 21:1

    Content type: Research article

    Published on:

  33. Electronic health records (EHRs) offer various advantages for healthcare delivery, especially for chronic and complex diseases such as psoriasis. However, both patients’ and physicians’ acceptability is requir...

    Authors: Toni Maria Klein, Matthias Augustin, Natalia Kirsten and Marina Otten

    Citation: BMC Medical Informatics and Decision Making 2020 20:344

    Content type: Research article

    Published on:

  34. Electrocardiogram (ECG) signal, an important indicator for heart problems, is commonly corrupted by a low-frequency baseline wander (BW) artifact, which may cause interpretation difficulty or inaccurate analys...

    Authors: Chao-Chen Chen and Fuchiang Rich Tsui

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):343

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  35. The 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) provided a multidisciplinary forum for computational scientists and experimental biologists to share recent advances on all as...

    Authors: Li Shen, Xinghua Shi, Zhongming Zhao and Kai Wang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):342

    Content type: Introduction

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  36. Age and time information stored within the histories of clinical notes can provide valuable insights for assessing a patient’s disease risk, understanding disease progression, and studying therapeutic outcomes...

    Authors: Judy Hong, Anahita Davoudi, Shun Yu and Danielle L. Mowery

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):338

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  37. Natural language processing (NLP) tools can facilitate the extraction of biomedical concepts from unstructured free texts, such as research articles or clinical notes. The NLP software tools CLAMP, cTAKES, and...

    Authors: Jacqueline Peng, Mengge Zhao, James Havrilla, Cong Liu, Chunhua Weng, Whitney Guthrie, Robert Schultz, Kai Wang and Yunyun Zhou

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):322

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  38. When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if th...

    Authors: Gaurav Rao, Salimur Choudhury, Pawan Lingras, David Savage and Vijay Mago

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):313

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  39. The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on the tasks. However, most existing methods suffer fr...

    Authors: Sundreen Asad Kamal, Changchang Yin, Buyue Qian and Ping Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):307

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  40. The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of a collected set of Twitter data, a model ...

    Authors: Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago and Salimur Choudhury

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):304

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  41. Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemia. The avalanche of healthcare data is accelerating precision and personalized medicine. Artificial intelligence and algo...

    Authors: Jiancheng Ye, Liang Yao, Jiahong Shen, Rethavathi Janarthanam and Yuan Luo

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):295

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  42. Over 70% of Americans regularly experience stress. Chronic stress results in cancer, cardiovascular disease, depression, and diabetes, and thus is deeply detrimental to physiological health and psychological w...

    Authors: Russell Li and Zhandong Liu

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):285

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  43. Sudden death in epilepsy (SUDEP) is a rare disease in US, however, they account for 8–17% of deaths in people with epilepsy. This disease involves complicated physiological patterns and it is still not clear w...

    Authors: Carroll Vance, Yejin Kim, Guoqiang Zhang, Samden Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li and Xiaoqian Jiang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):330

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  44. Convolutional neural network (CNN) has achieved state-of-art performance in many electroencephalogram (EEG) related studies. However, the application of CNN in prediction of risk factors for sudden unexpected ...

    Authors: Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden Lhatoo, Hampson Jaison and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):329

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  45. Applying machine learning to healthcare sheds light on evidence-based decision making and has shown promises to improve healthcare by combining clinical knowledge and biomedical data. However, medicine and dat...

    Authors: Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly III, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes and Jiajie Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):328

    Content type: Introduction

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  46. Sudden unexpected death in epilepsy (SUDEP) is a leading cause of premature death in patients with epilepsy. If timely assessment of SUDEP risk can be made, early interventions for optimized treatments might b...

    Authors: Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden Lhatoo, Jaison Hampson and Xiaoqian Jiang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):327

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  47. Sudden Unexpected Death in Epilepsy (SUDEP) has increased in awareness considerably over the last two decades and is acknowledged as a serious problem in epilepsy. However, the scientific community remains unc...

    Authors: Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang and Samden Lhatoo

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):326

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  48. The current COVID-19 pandemic has led to a surge of research activity. While this research provides important insights, the multitude of studies results in an increasing fragmentation of information. To ensure...

    Authors: Julian Sass, Alexander Bartschke, Moritz Lehne, Andrea Essenwanger, Eugenia Rinaldi, Stefanie Rudolph, Kai U. Heitmann, Jörg J. Vehreschild, Christof von Kalle and Sylvia Thun

    Citation: BMC Medical Informatics and Decision Making 2020 20:341

    Content type: Technical advance

    Published on:

  49. Effective planning for disease prevention and control requires accurate, adequately-analysed, interpreted and communicated data. In recent years, efforts have been put in strengthening health management inform...

    Authors: Susan F. Rumisha, Emanuel P. Lyimo, Irene R. Mremi, Patrick K. Tungu, Victor S. Mwingira, Doris Mbata, Sia E. Malekia, Catherine Joachim and Leonard E. G. Mboera

    Citation: BMC Medical Informatics and Decision Making 2020 20:340

    Content type: Research article

    Published on:

Annual Journal Metrics

\