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  1. The Swedish Quality Register for Ear Surgery (SwedEar) is a national register monitoring surgical procedures and outcomes of ear surgery to facilitate quality improvement. The value of the register is dependen...

    Authors: Malin Berglund, Sara Olaison, Eva Westman, P. O. Eriksson, Lena Steger and Åsa Bonnard
    Citation: BMC Medical Informatics and Decision Making 2023 23:240
  2. Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality. Monitoring disease progression and personalize...

    Authors: Fruzsina Kotsis, Helena Bächle, Michael Altenbuchinger, Jürgen Dönitz, Yacoub Abelard Njipouombe Nsangou, Heike Meiselbach, Robin Kosch, Sabine Salloch, Tanja Bratan, Helena U. Zacharias and Ulla T. Schultheiss
    Citation: BMC Medical Informatics and Decision Making 2023 23:239
  3. Online questionnaires are commonly used to collect information from participants in epidemiological studies. This requires building questionnaires using machine-readable formats that can be delivered to study ...

    Authors: Daniel E. Russ, Nicole M. Gerlanc, Brian Shen, Bhaumik Patel, Amy Berrington de González, Neal D. Freedman, Julie M. Cusack, Mia M. Gaudet, Montserrat García-Closas and Jonas S. Almeida
    Citation: BMC Medical Informatics and Decision Making 2023 23:238
  4. This research aimed to develop a model for individualized treatment decision-making in inoperable elderly patients with esophageal squamous cell carcinoma (ESCC) using machine learning methods and multi-modal ...

    Authors: Yong Huang, Xiaoyu Huang, Anling Wang, Qiwei Chen, Gong Chen, Jingya Ye, Yaru Wang, Zhihui Qin and Kai Xu
    Citation: BMC Medical Informatics and Decision Making 2023 23:237
  5. This study aimed to assess health care needs, electronic health literacy, mobile phone usage, and intention to use it for self-management purposes by informal caregivers of children with burn injuries.

    Authors: Fatemeh Rangraz Jeddi, Ehsan Nabovati, Mohammadreza Mobayen, Hossein Akbari, Alireza Feizkhah, Joseph Osuji and Parissa Bagheri Toolaroud
    Citation: BMC Medical Informatics and Decision Making 2023 23:236
  6. Prescription drug overdose and misuse has reached alarming numbers. A persistent problem in clinical care is lack of easy, immediate access to all relevant information at the actionable time. Prescribers must ...

    Authors: Rachel B. Seymour, Meghan K. Wally and Joseph R. Hsu
    Citation: BMC Medical Informatics and Decision Making 2023 23:234
  7. Authors: Anh N. Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman and Sue Ross
    Citation: BMC Medical Informatics and Decision Making 2023 23:233

    The original article was published in BMC Medical Informatics and Decision Making 2023 23:202

  8. Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically, ECG machines are utilized to diagnose and...

    Authors: Yared Daniel Daydulo, Bheema Lingaiah Thamineni and Ahmed Ali Dawud
    Citation: BMC Medical Informatics and Decision Making 2023 23:232
  9. The use of remote services such as video consultations (VCs) has increased significantly in the wake of the COVID-19 pandemic. In Sweden, private healthcare providers offering VCs have grown substantially sinc...

    Authors: Maria Hägglund, Anna Kristensson Ekwall, Nadia Davoody and Nasim Farrokhnia
    Citation: BMC Medical Informatics and Decision Making 2023 23:231
  10. Obstructive sleep apnea (OSA) is a globally prevalent disease with a complex diagnostic method. Severe OSA is associated with multi-system dysfunction. We aimed to develop an interpretable machine learning (ML...

    Authors: Yewen Shi, Yitong Zhang, Zine Cao, Lina Ma, Yuqi Yuan, Xiaoxin Niu, Yonglong Su, Yushan Xie, Xi Chen, Liang Xing, Xinhong Hei, Haiqin Liu, Shinan Wu, Wenle Li and Xiaoyong Ren
    Citation: BMC Medical Informatics and Decision Making 2023 23:230
  11. The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population agi...

    Authors: Azita Yazdani, Mostafa Shanbehzadeh and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2023 23:229
  12. IMPACT-AF is a prospective, randomized, cluster design trial comparing atrial fibrillation (AF) management with a computerized decision support system (CDS) to usual care (control) in the primary care setting ...

    Authors: Brittany Humphries, Jafna L Cox, Ratika Parkash, Lehana Thabane, Gary A Foster, James MacKillop, Joanna Nemis-White, Laura Hamilton, Antonio Ciaccia, Shurjeel H Choudhri, Bruno Kovic and Feng Xie
    Citation: BMC Medical Informatics and Decision Making 2023 23:228
  13. 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
  14. Computerized clinical decision support systems (CDSSs) can improve care by bridging knowledge to practice gaps. However, the real-world uptake of such systems in health care settings has been suboptimal. We so...

    Authors: Janet Yamada, Andrew Kouri, Sarah Nicole Simard, Jeffrey Lam Shin Cheung, Stephanie Segovia and Samir Gupta
    Citation: BMC Medical Informatics and Decision Making 2023 23:226
  15. Saliency-based algorithms are able to explain the relationship between input image pixels and deep-learning model predictions. However, it may be difficult to assess the clinical value of the most important im...

    Authors: Michael Osadebey, Qinghui Liu, Elies Fuster-Garcia and Kyrre E. Emblem
    Citation: BMC Medical Informatics and Decision Making 2023 23:225
  16. For surveillance of episodic illness, the emergency department (ED) represents one of the largest interfaces for generalizable data about segments of the US public experiencing a need for unscheduled care. Thi...

    Authors: Jeffrey A. Kline, Brian Reed, Alex Frost, Naomi Alanis, Meylakh Barshay, Andrew Melzer, James W. Galbraith, Alicia Budd, Amber Winn, Eugene Pun and Carlos A. Camargo Jr.
    Citation: BMC Medical Informatics and Decision Making 2023 23:224
  17. Women with pathogenic BRCA1 or BRCA2 variants are at high risk for breast and ovarian cancer. Preventive options include risk-reducing breast and ovarian surgeries and intensified breast surveillance. However, in...

    Authors: Sibylle Kautz-Freimuth, Marcus Redaèlli, Arim Shukri, Hannah Kentenich, Dusan Simic, Vanessa Mildenberger, Rita Schmutzler, Kerstin Rhiem and Stephanie Stock
    Citation: BMC Medical Informatics and Decision Making 2023 23:223
  18. With the development of big health and big data, cohort research has become a medical research hotspot. As an important repository of human genetic resources, biobanks must adapt to the requirements of large-s...

    Authors: Lianshuai Zheng and Leilei Wang
    Citation: BMC Medical Informatics and Decision Making 2023 23:222
  19. This article focuses on the development of algorithms for a smart neurorehabilitation system, whose core is made up of artificial neural networks. The authors of the article have proposed a completely unique t...

    Authors: Martin Kotyrba, Hashim Habiballa, Eva Volna, Robert Jarusek, Pavel Smolka, Martin Prasek, Marek Malina and Vladena Jaremova
    Citation: BMC Medical Informatics and Decision Making 2023 23:221
  20. Primary care electronic health records (EHR) are widely used to study long-term conditions in epidemiological and health services research. Therefore, it is important to understand how well the recorded preval...

    Authors: Jennifer Cooper, Krishnarajah Nirantharakumar, Francesca Crowe, Amaya Azcoaga-Lorenzo, Colin McCowan, Thomas Jackson, Aditya Acharya, Krishna Gokhale, Niluka Gunathilaka, Tom Marshall and Shamil Haroon
    Citation: BMC Medical Informatics and Decision Making 2023 23:220
  21. 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
  22. Important clinical information of patients is present in unstructured free-text fields of Electronic Health Records (EHRs). While this information can be extracted using clinical Natural Language Processing (c...

    Authors: Guillermo Argüello-González, José Aquino-Esperanza, Daniel Salvador, Rosa Bretón-Romero, Carlos Del Río-Bermudez, Jorge Tello and Sebastian Menke
    Citation: BMC Medical Informatics and Decision Making 2023 23:216
  23. The most prevalent mesenchymal-derived gastrointestinal cancers are gastric stromal tumors (GSTs), which have the highest incidence (60–70%) of all gastrointestinal stromal tumors (GISTs). However, simple and ...

    Authors: Shangjun Han, Meijuan Song, Jiarui Wang, Yalong Huang, Zuxi Li, Aijia Yang, Changsheng Sui, Zeping Zhang, Jiling Qiao and Jing Yang
    Citation: BMC Medical Informatics and Decision Making 2023 23:214
  24. This study intends to build an artificial intelligence model for obstetric cesarean section surgery to evaluate the intraoperative blood transfusion volume before operation, and compare the model prediction re...

    Authors: Hang Chen, Bowei Cao, Jiangcun Yang, He Ren, Xingqiu Xia, Xiaowen Zhang, Wei Yan, Xiaodan Liang and Chen Li
    Citation: BMC Medical Informatics and Decision Making 2023 23:213
  25. Investment in the implementation of hospital ePrescribing systems has been a priority in many economically-developed countries in order to modernise the delivery of healthcare. However, maximum gains in the sa...

    Authors: Catherine Heeney, Matt Bouamrane, Stephen Malden, Kathrin Cresswell, Robin Williams and Aziz Sheikh
    Citation: BMC Medical Informatics and Decision Making 2023 23:211
  26. Electronic medical records (EMRs) contain a wealth of information related to breast cancer diagnosis and treatment. Extracting relevant features from these medical records and constructing a knowledge graph ca...

    Authors: Xiaolong Li, Shuifa Sun, Tinglong Tang, Ji Lu, Lijuan Zhang, Jie Yin, Qian Geng and Yirong Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:210
  27. In the modern era of antibiotics, healthcare-associated infections (HAIs) have emerged as a prominent and concerning health threat worldwide. Implementing an electronic surveillance system for healthcare-assoc...

    Authors: Yu Cao, Yaojun Niu, Xuetao Tian, DeZhong Peng, Li Lu and Haojun Zhang
    Citation: BMC Medical Informatics and Decision Making 2023 23:209
  28. Clinical events suggestive of nutrition care found in electronic health records (EHRs) are rarely explored for their associations with hypertension outcomes.

    Authors: April R. Williams, Maria D. Thomson and Erin L. Britton
    Citation: BMC Medical Informatics and Decision Making 2023 23:208
  29. There are many Machine Learning (ML) models which predict acute kidney injury (AKI) for hospitalised patients. While a primary goal of these models is to support clinical decision-making, the adoption of incon...

    Authors: Amir Kamel Rahimi, Moji Ghadimi, Anton H. van der Vegt, Oliver J. Canfell, Jason D. Pole, Clair Sullivan and Sally Shrapnel
    Citation: BMC Medical Informatics and Decision Making 2023 23:207
  30. Providing optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient’s condition and deciding on transport destinatio...

    Authors: Anna Bakidou, Eva-Corina Caragounis, Magnus Andersson Hagiwara, Anders Jonsson, Bengt Arne Sjöqvist and Stefan Candefjord
    Citation: BMC Medical Informatics and Decision Making 2023 23:206
  31. This research aims to develop a diagnostic tool that can quickly and accurately detect prostate cancer using electronic nose technology and a neural network trained on a dataset of urine samples from patients ...

    Authors: J. B. Talens, J. Pelegri-Sebastia, T. Sogorb and J. L. Ruiz
    Citation: BMC Medical Informatics and Decision Making 2023 23:205
  32. Medical crowdsourcing competitions can help patients get more efficient and comprehensive treatment advice than “one-to-one” service, and doctors should be encouraged to actively participate. In the crowdsourc...

    Authors: Xiuxiu Zhou, Shanshan Guo and Hong Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:204
  33. Given the increasing number of dementia patients worldwide, a new method was developed for machine learning models to identify the ‘latent needs’ of patients and caregivers to facilitate patient/public involve...

    Authors: Nanae Tanemura, Tsuyoshi Sasaki, Ryotaro Miyamoto, Jin Watanabe, Michihiro Araki, Junko Sato and Tsuyoshi Chiba
    Citation: BMC Medical Informatics and Decision Making 2023 23:203
  34. Menopause is a normal transition in a woman’s life. For some women, it is a stage without significant difficulties; for others, menopause symptoms can severely affect their quality of life. This study develope...

    Authors: Anh N.Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman and Sue Ross
    Citation: BMC Medical Informatics and Decision Making 2023 23:202

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2023 23:233

  35. Obesity is a multifaceted condition that impacts individuals across various age, racial, and socioeconomic demographics, hence rendering them susceptible to a range of health complications and an increased ris...

    Authors: Zahra Zare, Elmira Hajizadeh, Maryam Mahmoodi, Reza Nazari, Leila Shahmoradi and Sorayya Rezayi
    Citation: BMC Medical Informatics and Decision Making 2023 23:201
  36. 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
  37. Depression and anxiety can cause social, behavioral, occupational, and functional impairments if not controlled and managed. Mobile-based self-care applications can play an essential and effective role in cont...

    Authors: Khadijeh Moulaei, Kambiz Bahaadinbeigy, Esmat Mashoof and Fatemeh Dinari
    Citation: BMC Medical Informatics and Decision Making 2023 23:199
  38. Even for an experienced neurophysiologist, it is challenging to look at a single graph of an unlabeled motor evoked potential (MEP) and identify the corresponding muscle. We demonstrate that supervised machine...

    Authors: Jonathan Wermelinger, Qendresa Parduzi, Murat Sariyar, Andreas Raabe, Ulf C. Schneider and Kathleen Seidel
    Citation: BMC Medical Informatics and Decision Making 2023 23:198
  39. To analyze the tongue feature of NSCLC at different stages, as well as the correlation between tongue feature and tumor marker, and investigate the feasibility of establishing prediction models for NSCLC at di...

    Authors: Yulin Shi, Hao Wang, Xinghua Yao, Jun Li, Jiayi Liu, Yuan Chen, Lingshuang Liu and Jiatuo Xu
    Citation: BMC Medical Informatics and Decision Making 2023 23:197
  40. Fraud, Waste, and Abuse (FWA) in medical claims have a negative impact on the quality and cost of healthcare. A major component of FWA in claims is procedure code overutilization, where one or more prescribed ...

    Authors: Michael Suesserman, Samantha Gorny, Daniel Lasaga, John Helms, Dan Olson, Edward Bowen and Sanmitra Bhattacharya
    Citation: BMC Medical Informatics and Decision Making 2023 23:196
  41. Loss of cognitive and executive functions is a problem that affects people of all ages. That is why it is important to perform exercises for memory training and prevent early cognitive deterioration. The aim o...

    Authors: José Luis Varela-Aldás, Jorge Buele, Doris Pérez and Guillermo Palacios-Navarro
    Citation: BMC Medical Informatics and Decision Making 2023 23:195
  42. Digital technology tailored for those with limited health literacy has the potential to reduce health inequalities. Although mobile apps can support self-management in chronic diseases, there is little evidenc...

    Authors: Hani Salim, Ai Theng Cheong, Sazlina Sharif-Ghazali, Ping Yein Lee, Poh Ying Lim, Ee Ming Khoo, Norita Hussein, Noor Harzana Harrun, Bee Kiau Ho and Hilary Pinnock
    Citation: BMC Medical Informatics and Decision Making 2023 23:194
  43. An unprecedented acceleration in digital mental health services happened during the COVID-19 pandemic. However, people with severe mental ill health (SMI) might be at risk of digital exclusion, partly because ...

    Authors: P Spanakis, B Lorimer, E Newbronner, R Wadman, S Crosland, S Gilbody, G Johnston, L. Walker and E Peckham
    Citation: BMC Medical Informatics and Decision Making 2023 23:193
  44. Accurate segmentation of stroke lesions on MRI images is very important for neurologists in the planning of post-stroke care. Segmentation helps clinicians to better diagnose and evaluation of any treatment r...

    Authors: Yousef Gheibi, Kimia Shirini, Seyed Naser Razavi, Mehdi Farhoudi and Taha Samad-Soltani
    Citation: BMC Medical Informatics and Decision Making 2023 23:192
  45. For optimal health, the maternal, newborn, and child healthcare (MNCH) continuum necessitates that the mother/child receive the full package of antenatal, intrapartum, and postnatal care. In sub-Saharan Africa...

    Authors: Chenai Mlandu, Zvifadzo Matsena-Zingoni and Eustasius Musenge
    Citation: BMC Medical Informatics and Decision Making 2023 23:191

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