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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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

  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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

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