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  1. In the Diabetes domain, events such as meals and exercises play an important role in the disease management. For that, many studies focus on automatic meal detection, specially as part of the so-called artific...

    Authors: Danilo F. de Carvalho, Uzay Kaymak, Pieter Van Gorp and Natal van Riel
    Citation: BMC Medical Informatics and Decision Making 2023 23:282
  2. Given the effective role of a mobile applications in disease management, disease monitoring, and self-care in patients with COVID-19 disease, we aimed to design, development and evaluation of a self-care Mobil...

    Authors: Mohammad Heydari, Esmaeil Mehraeen, Elham Javaherikiyan, Nahid Mehrabi, Mostafa Langarizadeh, Vahideh Aghamohammadi, Hamed Rezakhani Moghaddam and Khadijeh Nasiri
    Citation: BMC Medical Informatics and Decision Making 2023 23:280
  3. In this paper, we present a framework for developing a Learning Health System (LHS) to provide means to a computerized clinical decision support system for allied healthcare and/or nursing professionals. LHSs ...

    Authors: Mark van Velzen, Helen I. de Graaf-Waar, Tanja Ubert, Robert F. van der Willigen, Lotte Muilwijk, Maarten A. Schmitt, Mark C. Scheper and Nico L. U. van Meeteren
    Citation: BMC Medical Informatics and Decision Making 2023 23:279
  4. Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status monitoring and personalized recommendation generation with artificial inte...

    Authors: Ayan Chatterjee, Nibedita Pahari, Andreas Prinz and Michael Riegler
    Citation: BMC Medical Informatics and Decision Making 2023 23:278
  5. Smart and practical health information systems and applications with fewer errors are crucial for healthcare facilities. One method that ensures the proper design of health information systems (HIS) and applic...

    Authors: Farzaneh Behnam, Reza khajouei, Amir Hossein Nabizadeh, Saeed Saedi and Mohammad Mahdi Ghaemi
    Citation: BMC Medical Informatics and Decision Making 2023 23:277
  6. Breast cancer is the most common malignancy diagnosed in women worldwide. The prevalence and incidence of breast cancer is increasing every year; therefore, early diagnosis along with suitable relapse detectio...

    Authors: Duo Zuo, Lexin Yang, Yu Jin, Huan Qi, Yahui Liu and Li Ren
    Citation: BMC Medical Informatics and Decision Making 2023 23:276
  7. Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about ...

    Authors: Azita Yazdani, Mohammad Shamloo, Mina Khaki and Azin Nahvijou
    Citation: BMC Medical Informatics and Decision Making 2023 23:275
  8. Point-of-care lung ultrasound (LUS) allows real-time patient scanning to help diagnose pleural effusion (PE) and plan further investigation and treatment. LUS typically requires training and experience from th...

    Authors: Damjan Vukovic, Andrew Wang, Maria Antico, Marian Steffens, Igor Ruvinov, Ruud JG van Sloun, David Canty, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty and Davide Fontanarosa
    Citation: BMC Medical Informatics and Decision Making 2023 23:274
  9. Intelligent cardiotocography (CTG) classification can assist obstetricians in evaluating fetal health. However, high classification performance is often achieved by complex machine learning (ML)-based models, ...

    Authors: Junyuan Feng, Jincheng Liang, Zihan Qiang, Yuexing Hao, Xia Li, Li Li, Qinqun Chen, Guiqing Liu and Hang Wei
    Citation: BMC Medical Informatics and Decision Making 2023 23:273
  10. The size of medical strategies is expected to grow in conjunction with the expansion of modern diseases’ complexity. When a strategy includes more than ten statements, its manual management becomes very challe...

    Authors: Abir Boujelben and Ikram Amous
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):272

    This article is part of a Supplement: Volume 23 Supplement 1

  11. Depression is one of the most significant health conditions in personal, social, and economic impact. The aim of this review is to summarize existing literature in which machine learning methods have been used...

    Authors: David Nickson, Caroline Meyer, Lukasz Walasek and Carla Toro
    Citation: BMC Medical Informatics and Decision Making 2023 23:271
  12. Acute kidney injury (AKI) after coronary artery bypass grafting (CABG) surgery is associated with poor outcomes. The objective of this study was to apply a new machine learning (ML) method to establish predict...

    Authors: Tianchen Jia, Kai Xu, Yun Bai, Mengwei Lv, Lingtong Shan, Wei Li, Xiaobin Zhang, Zhi Li, Zhenhua Wang, Xin Zhao, Mingliang Li and Yangyang Zhang
    Citation: BMC Medical Informatics and Decision Making 2023 23:270
  13. The widespread adoption of telehealth services necessitates accurate online department selection based on patient medical records, a task requiring significant medical knowledge. Incorrect triage results in co...

    Authors: Jinming Shi, Ming Ye, Haotian Chen, Yaoen Lu, Zhongke Tan, Zhaohan Fan and Jie Zhao
    Citation: BMC Medical Informatics and Decision Making 2023 23:269
  14. With the aging of the population, the number of total hip replacement surgeries is increasing globally. Hip replacement has undergone revolutionary advancements in surgical methods and materials. Due to the sh...

    Authors: Jing Chen, Fan He, Qian Wu, Li Wang, Xiaoxia Zhu, Yan Qi, JiaLing Wu and Yan Shi
    Citation: BMC Medical Informatics and Decision Making 2023 23:268
  15. The goal of this study was to assess the effectiveness of machine learning models and create an interpretable machine learning model that adequately explained 3-year all-cause mortality in patients with chroni...

    Authors: Chenggong Xu, Hongxia Li, Jianping Yang, Yunzhu Peng, Hongyan Cai, Jing Zhou, Wenyi Gu and Lixing Chen
    Citation: BMC Medical Informatics and Decision Making 2023 23:267
  16. Child abuse and neglect (CAN) is prevalent, associated with long-term adversities, and often undetected. Primary care settings offer a unique opportunity to identify CAN and facilitate referrals, when warrante...

    Authors: Rochelle F. Hanson, Vivienne Zhu, Funlola Are, Hannah Espeleta, Elizabeth Wallis, Paul Heider, Marin Kautz and Leslie Lenert
    Citation: BMC Medical Informatics and Decision Making 2023 23:266
  17. Despite the globally reducing hospitalization rates and the much lower risks of Covid-19 mortality, accurate diagnosis of the infection stage and prediction of outcomes are clinically of interest. Advanced cur...

    Authors: Sara Saberi Moghadam Tehrani, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, Amirali Soheili, Mohammad Gharib and Hamid Abbasi
    Citation: BMC Medical Informatics and Decision Making 2023 23:265
  18. 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

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

  19. 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
  20. Patient safety is a central healthcare policy worldwide. Adverse drug events (ADE) are among the main threats to patient safety. Children are at a higher risk of ADE in each stage of medication management proc...

    Authors: Somaye Norouzi, Zahra Galavi and Leila Ahmadian
    Citation: BMC Medical Informatics and Decision Making 2023 23:263
  21. Accurate identification of venous thromboembolism (VTE) is critical to develop replicable epidemiological studies and rigorous predictions models. Traditionally, VTE studies have relied on international classi...

    Authors: Jeffrey Wang, Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe A. Lisboa, Seth A. Schobel, Eric A. Elster, Christopher J. Dente, Timothy G. Buchman and Rishikesan Kamaleswaran
    Citation: BMC Medical Informatics and Decision Making 2023 23:262
  22. Despite the fact that telemedicine can eliminate geographical and time limitations and offer the possibility of diagnosing, treating, and preventing diseases by sharing reliable information, many individuals s...

    Authors: Khadijeh Moulaei, Abbas Sheikhtaheri, Farhad Fatehi, Mostafa Shanbehzadeh and Kambiz Bahaadinbeigy
    Citation: BMC Medical Informatics and Decision Making 2023 23:261
  23. Overprescribing of antibiotics for acute respiratory infections (ARIs) remains a major issue in outpatient settings. Use of clinical prediction rules (CPRs) can reduce inappropriate antibiotic prescribing but ...

    Authors: Elizabeth R. Stevens, Ruth Agbakoba, Devin M. Mann, Rachel Hess, Safiya I. Richardson, Thomas McGinn, Paul D. Smith, Wendy Halm, Marlon P. Mundt, Katherine L. Dauber-Decker, Simon A. Jones, Dawn M. Feldthouse, Eun Ji Kim and David A. Feldstein
    Citation: BMC Medical Informatics and Decision Making 2023 23:260
  24. In France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patient...

    Authors: Daniel Stoessel, Rui Fa, Svetlana Artemova, Ursula von Schenck, Hadiseh Nowparast Rostami, Pierre-Ephrem Madiot, Caroline Landelle, Fréderic Olive, Alison Foote, Alexandre Moreau-Gaudry and Jean-Luc Bosson
    Citation: BMC Medical Informatics and Decision Making 2023 23:259
  25. Infertility is a public health problem in the world, using new technology, such as mobile phones, is increasing in the field of health. This study aimed to determine the Necessity of self-care training content...

    Authors: Azadeh Nadjarzadeh, Alireza Fallahzadeh, Arezoo Abasi, Mohammad Mehdi Poornematy, Hamid Reza Farahzadi and Seyed Ali Fatemi Aghda
    Citation: BMC Medical Informatics and Decision Making 2023 23:258
  26. Radiofrequency ablation (RFA) for atrial fibrillation (AF) is associated with a risk of complications. This study aimed to develop and validate risk models for predicting complications after radiofrequency abl...

    Authors: Rong Li, Lan Shen, Wenyan Ma, Linfeng Li, Bo Yan, Yuna Wei, Yao Wang, Changqing Pan and Junyi Yuan
    Citation: BMC Medical Informatics and Decision Making 2023 23:257
  27. Genomics-based clinical diagnosis has emerged as a novel medical approach to improve diagnosis and treatment. However, advances in sequencing techniques have increased the generation of genomics data dramatica...

    Authors: Mireia Costa, Alberto García S. and Oscar Pastor
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 3):256

    This article is part of a Supplement: Volume 23 Supplement 3

  28. 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
  29. Advance care planning (ACP) is a process that enables individuals to define goals and preferences for their future care. It is particularly relevant for people with dementia and their family. Interactive tools...

    Authors: Charlèss Dupont, Tinne Smets, Fanny Monnet, Lara Pivodic, Aline De Vleminck, Chantal Van Audenhove and Lieve Van den Block
    Citation: BMC Medical Informatics and Decision Making 2023 23:254
  30. The ageing global population presents significant public health challenges, especially in relation to the subjective wellbeing of the elderly. In this study, our aim was to investigate the potential for develo...

    Authors: Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo and Andrea Facchinetti
    Citation: BMC Medical Informatics and Decision Making 2023 23:253
  31. Physicians’ work is often stressful. The digitalization of healthcare aims to streamline work, but not all physicians have experienced its realization. We examined associations of perceived changes in work due...

    Authors: Lotta Virtanen, Anu-Marja Kaihlanen, Petra Saukkonen, Jarmo Reponen, Tinja Lääveri, Tuulikki Vehko, Peppiina Saastamoinen, Johanna Viitanen and Tarja Heponiemi
    Citation: BMC Medical Informatics and Decision Making 2023 23:252
  32. In the healthcare domain today, despite the substantial adoption of electronic health information systems, a significant proportion of medical reports still exist in paper-based formats. As a result, there is ...

    Authors: Ming-Wei Ma, Xian-Shu Gao, Ze-Yu Zhang, Shi-Yu Shang, Ling Jin, Pei-Lin Liu, Feng Lv, Wei Ni, Yu-Chen Han and Hui Zong
    Citation: BMC Medical Informatics and Decision Making 2023 23:251
  33. Venous thromboembolism (VTE) in pregnancy is a major cause of maternal morbidity and death. The use of low-molecular-weight heparin (LMWH), despite being the standard of care to prevent VTE, comes with some ch...

    Authors: Montserrat León‑García, Brittany Humphries, Pablo Roca Morales, Derek Gravholt, Mark H. Eckman, Shannon M. Bates, Nataly R. Espinoza Suárez, Feng Xie, Lilisbeth Perestelo‑Pérez and Pablo Alonso‑Coello
    Citation: BMC Medical Informatics and Decision Making 2023 23:250
  34. Using two three-dimensional U-Net architectures for myocardium structure extraction and a distance transformation algorithm specifically for the left circumflex artery, we have designed a fully automated algor...

    Authors: Pengling Ren, Yi He, Ning Guo, Nan Luo, Fang Li, Zhenchang Wang and Zhenghan Yang
    Citation: BMC Medical Informatics and Decision Making 2023 23:249
  35. Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping revie...

    Authors: Mohsen Masoumian Hosseini, Seyedeh Toktam Masoumian Hosseini, Karim Qayumi, Shahriar Hosseinzadeh and Seyedeh Saba Sajadi Tabar
    Citation: BMC Medical Informatics and Decision Making 2023 23:248
  36. Clinical practice guidelines (CPGs) are designed to assist doctors in clinical decision making. High-quality research articles are important for the development of good CPGs. Commonly used manual screening pro...

    Authors: Yucong Lin, Jia Li, Huan Xiao, Lujie Zheng, Ying Xiao, Hong Song, Jingfan Fan, Deqiang Xiao, Danni Ai, Tianyu Fu, Feifei Wang, Han Lv and Jian Yang
    Citation: BMC Medical Informatics and Decision Making 2023 23:247
  37. Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fal...

    Authors: Jun Hwa Choi, Eun Suk Choi and Dougho Park
    Citation: BMC Medical Informatics and Decision Making 2023 23:246
  38. Many countries’ health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of acce...

    Authors: August Kuwawenaruwa, Henry Mollel, John Matiko Machonchoryo, Federica Margini, Jennie Jaribu and Peter Binyaruka
    Citation: BMC Medical Informatics and Decision Making 2023 23:245
  39. The addition of coronary artery calcium score (CACS) to prediction models has been verified to improve performance. Machine learning (ML) algorithms become important medical tools in an era of precision medici...

    Authors: Minxian Wang, Mengting Sun, Yao Yu, Xinsheng Li, Yongkui Ren and Da Yin
    Citation: BMC Medical Informatics and Decision Making 2023 23:244
  40. Predicting medications is a crucial task in intelligent healthcare systems, aiding doctors in making informed decisions based on electronic medical records (EMR). However, medication prediction faces challenge...

    Authors: Yang An, Haocheng Tang, Bo Jin, Yi Xu and Xiaopeng Wei
    Citation: BMC Medical Informatics and Decision Making 2023 23:243
  41. To evaluate missing data methods applied to laboratory test results used for confounding adjustment, utilizing data from 10 MID-NET®-collaborative hospitals.

    Authors: Maki Komamine, Yoshiaki Fujimura, Masatomo Omiya and Tosiya Sato
    Citation: BMC Medical Informatics and Decision Making 2023 23:242
  42. Diabetic kidney disease (DKD) has become the largest cause of end-stage kidney disease. Early and accurate detection of DKD is beneficial for patients. The present detection depends on the measurement of album...

    Authors: Shaomin Shi, Ling Gao, Juan Zhang, Baifang Zhang, Jing Xiao, Wan Xu, Yuan Tian, Lihua Ni and Xiaoyan Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:241
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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

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