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  1. Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders fi...

    Authors: Tudor Groza, Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall and Justin T. Reese
    Citation: BMC Medical Informatics and Decision Making 2024 24:30
  2. Oxygen saturation, a key indicator of COVID-19 severity, poses challenges, especially in cases of silent hypoxemia. Electronic health records (EHRs) often contain supplemental oxygen information within clinica...

    Authors: Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer and Markus Kreuzthaler
    Citation: BMC Medical Informatics and Decision Making 2024 24:29
  3. Nutritional risk situations related to decreased food intake in the hospital environment hinder nutritional care and increase malnutrition in hospitalized patients and are often associated with increased morbi...

    Authors: Alan Renier Jamal Occhioni Molter, Naise Oliveira da Rocha Carvalho, Paloma Ribeiro Torres, Marlete Pereira da Silva, Patrícia Dias de Brito, Pedro Emmanuel Alvarenga Americano do Brasil, Claudio Fico Fonseca and Adriana Costa Bacelo
    Citation: BMC Medical Informatics and Decision Making 2024 24:28
  4. Synthetic data is an emerging approach for addressing legal and regulatory concerns in biomedical research that deals with personal and clinical data, whether as a single tool or through its combination with o...

    Authors: Imanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Xabat Larrea, Ane Alberdi, Panagiotis Bamidis and Evdokimos Konstantinidis
    Citation: BMC Medical Informatics and Decision Making 2024 24:27
  5. The rate of geriatric hip fracture in Hong Kong is increasing steadily and associated mortality in fragility fracture is high. Moreover, fragility fracture patients increase the pressure on hospital bed demand...

    Authors: Chun-Hei Lai, Prudence Kwan-Lam Mok, Wai-Wang Chau and Sheung-Wai Law
    Citation: BMC Medical Informatics and Decision Making 2024 24:26
  6. The epiretinal membrane (ERM) is a common retinal disorder characterized by abnormal fibrocellular tissue at the vitreomacular interface. Most patients with ERM are asymptomatic at early stages. Therefore, scr...

    Authors: Joon Yul Choi, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee and Tae Keun Yoo
    Citation: BMC Medical Informatics and Decision Making 2024 24:25
  7. Sexually transmitted infections (STIs) are a significant global public health challenge due to their high incidence rate and potential for severe consequences when early intervention is neglected. Research sho...

    Authors: Mengjie Hu, Han Peng, Xuan Zhang, Lefeng Wang and Jingjing Ren
    Citation: BMC Medical Informatics and Decision Making 2024 24:24
  8. Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the bala...

    Authors: Fatma M. Talaat, Shaker El-Sappagh, Khaled Alnowaiser and Esraa Hassan
    Citation: BMC Medical Informatics and Decision Making 2024 24:23
  9. The linkage of primary care, hospital and other health registry data is a global goal, and a consent-based approach is often used. Understanding the attitudes of why participants take part is important, yet li...

    Authors: Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh, Mark Morgan, M. Ximena Tolosa, Carissa Bonner, Tony Stanton, Michael Fryer and Rosemary Korda
    Citation: BMC Medical Informatics and Decision Making 2024 24:22
  10. Symptom checker applications (SCAs) may help laypeople classify their symptoms and receive recommendations on medically appropriate actions. Further research is necessary to estimate the influence of user char...

    Authors: Anna-Jasmin Wetzel, Malte Klemmt, Regina Müller, Monika A. Rieger, Stefanie Joos and Roland Koch
    Citation: BMC Medical Informatics and Decision Making 2024 24:21
  11. In recent years, the discovery of clinical pathways (CPs) from electronic medical records (EMRs) data has received increasing attention because it can directly support clinical doctors with explicit treatment ...

    Authors: Wei Li, Xin Min, Panpan Ye, Weidong Xie and Dazhe Zhao
    Citation: BMC Medical Informatics and Decision Making 2024 24:20
  12. In clinical medicine, fetal heart rate (FHR) monitoring using cardiotocography (CTG) is one of the most commonly used methods for assessing fetal acidosis. However, as the visual interpretation of CTG depends ...

    Authors: Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu and Yefei Zhang
    Citation: BMC Medical Informatics and Decision Making 2024 24:19
  13. To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies.

    Authors: Jie Hu, Zixian Huang, Xuewen Ge, Yulin Shen, Yihan Xu, Zirui Zhang, Guangyin Zhou, Junjie Wang, Shan Lu, Yun Yu, Cheng Wan, Xin Zhang, Ruochen Huang, Yun Liu and Gong Cheng
    Citation: BMC Medical Informatics and Decision Making 2024 24:18
  14. Heart failure is a syndrome with complex clinical manifestations. Due to increasing population aging, heart failure has become a major medical problem worldwide. In this study, we used the MIMIC-III public dat...

    Authors: Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian and Chao-Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:17
  15. Acute kidney injury (AKI) represents a frequent and grave complication associated with acute pancreatitis (AP), substantially elevating both mortality rates and the financial burden of hospitalization. The aim...

    Authors: Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu and Luojie Liu
    Citation: BMC Medical Informatics and Decision Making 2024 24:16
  16. As the first point of contact for patients, General Practitioners (GPs) play a crucial role in the National Health Service (NHS). An accurate primary diagnosis from the GP can alleviate the burden on specialis...

    Authors: Ruibin Wang, Kavisha Jayathunge, Rupert Page, Hailing Li, Jian Jun Zhang and Xiaosong Yang
    Citation: BMC Medical Informatics and Decision Making 2024 24:15
  17. The objective of the study was to assess the effects of high-reliability system by implementing a command centre (CC) on clinical outcomes in a community hospital before and during COVID-19 pandemic from the y...

    Authors: Liza Grosman-Rimon, Pete Wegier, Ruben Rodriguez, Jane Casey, Susan Tory, Jhanvi Solanki and Barbara E. Collins
    Citation: BMC Medical Informatics and Decision Making 2024 24:14
  18. Accurate diagnosis and early treatment are essential in the fight against lymphatic cancer. The application of artificial intelligence (AI) in the field of medical imaging shows great potential, but the diagno...

    Authors: Anying Bai, Mingyu Si, Peng Xue, Yimin Qu and Yu Jiang
    Citation: BMC Medical Informatics and Decision Making 2024 24:13
  19. The handling of missing data is a challenge for inference and regression modelling. A particular challenge is dealing with missing predictor information, particularly when trying to build and make predictions ...

    Authors: Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields and Trevelyan J. McKinley
    Citation: BMC Medical Informatics and Decision Making 2024 24:12
  20. Infectious complications after colorectal cancer (CRC) surgery increase perioperative mortality and are significantly associated with poor prognosis. We aimed to develop a model for predicting infectious compl...

    Authors: Yuan Tian, Rui Li, Guanlong Wang, Kai Xu, Hongxia Li and Lei He
    Citation: BMC Medical Informatics and Decision Making 2024 24:11
  21. Vaccine Adverse Events ReportingSystem (VAERS) is a promising resource of tracking adverse events following immunization. Medical Dictionary for Regulatory Activities (MedDRA) terminology used for coding adver...

    Authors: Madhuri Sankaranarayanapillai, Su Wang, Hangyu Ji, Hsing-Yi Song and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2024 23(Suppl 4):298

    This article is part of a Supplement: Volume 23 Supplement 4

  22. Knowledge graphs are well-suited for modeling complex, unstructured, and multi-source data and facilitating their analysis. During the COVID-19 pandemic, adverse event data were integrated into a knowledge gra...

    Authors: Andrew M. Simms, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta and Noel Southall
    Citation: BMC Medical Informatics and Decision Making 2024 24:10
  23. Healthcare professionals (HPs) hold critical perspectives on the barriers and facilitating factors for the implementation of virtual reality (VR) dementia diagnosis tools in the clinical setting. This study ai...

    Authors: Joshua Yondjo and Joyce Siette
    Citation: BMC Medical Informatics and Decision Making 2024 24:9
  24. An appropriate prediction model for adverse prognosis before peritoneal dialysis (PD) is lacking. Thus, we retrospectively analysed patients who underwent PD to construct a predictive model for adverse prognos...

    Authors: Jie Yang, Jingfang Wan, Lei Feng, Shihui Hou, Kaizhen Yv, Liang Xu and Kehong Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:8
  25. Objective prognostic information is essential for good clinical decision making. In case of unknown diseases, scarcity of evidence and limited tacit knowledge prevent obtaining this information. Prediction mod...

    Authors: M. C. Schut, D. A. Dongelmans, D. W. de Lange, S. Brinkman, N. F. de Keizer and A. Abu-Hanna
    Citation: BMC Medical Informatics and Decision Making 2024 24:7
  26. Although smartphone usage is ubiquitous, and a vast amount of mobile applications have been developed for chronic diseases, mobile applications amongst stroke survivors remain unclear.

    Authors: Wenjing Cao, Azidah Abdul Kadir, Wenzhen Tang, Juan Wang, Jiamu Yuan and Intan Idiana Hassan
    Citation: BMC Medical Informatics and Decision Making 2024 24:6
  27. India has the most significant number of children with thalassemia major worldwide, and about 10,000-15,000 children with the disease are born yearly. Scaling up e-health initiatives in rural areas using a cos...

    Authors: Atul Kumar Jain, Prashant Sharma, Sarkaft Saleh, Tuphan Kanti Dolai, Subhas Chandra Saha, Rashmi Bagga, Alka Rani Khadwal, Amita Trehan, Izabela Nielsen, Anilava Kaviraj, Reena Das and Subrata Saha
    Citation: BMC Medical Informatics and Decision Making 2024 24:5
  28. Machine learning based clinical decision support systems (CDSSs) have been proposed as a means of advancing personalized treatment planning for disorders, such as depression, that have a multifaceted etiology,...

    Authors: Meredith Gunlicks-Stoessel, Yangchenchen Liu, Catherine Parkhill, Nicole Morrell, Mimi Choy-Brown, Christopher Mehus, Joel Hetler and Gerald August
    Citation: BMC Medical Informatics and Decision Making 2024 24:4
  29. Precise prediction of esophageal squamous cell carcinoma (ESCC) invasion depth is crucial not only for optimizing treatment plans but also for reducing the need for invasive procedures, consequently lowering c...

    Authors: Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan and Yilun Xu
    Citation: BMC Medical Informatics and Decision Making 2024 24:3
  30. Acute Myeloid Leukemia (AML) generally has a relatively low survival rate after treatment. There is an urgent need to find new biomarkers that may improve the survival prognosis of patients. Machine-learning t...

    Authors: Yujing Cheng, Xin Yang, Ying Wang, Qi Li, Wanlu Chen, Run Dai and Chan Zhang
    Citation: BMC Medical Informatics and Decision Making 2024 24:2
  31. The application of artificial intelligence (AI) in the ultrasound (US) diagnosis of breast cancer (BCa) is increasingly prevalent. However, the impact of US-probe frequencies on the diagnostic efficacy of AI m...

    Authors: Zhibin Huang, Keen Yang, Hongtian Tian, Huaiyu Wu, Shuzhen Tang, Chen Cui, Siyuan Shi, Yitao Jiang, Jing Chen, Jinfeng Xu and Fajin Dong
    Citation: BMC Medical Informatics and Decision Making 2024 24:1
  32. With the change of lifestyle, the occurrence of coronary artery disease presents a younger trend, increasing the medical and economic burden on the family and society. To reduce the burden caused by this disea...

    Authors: Jiayu Wang, Yikang Xu, Lei Liu, Wei Wu, Chunjian Shen, Henan Huang, Ziyi Zhen, Jixian Meng, Chunjing Li, Zhixin Qu, Qinglei he and Yu Tian
    Citation: BMC Medical Informatics and Decision Making 2023 23:297
  33. Non-small cell lung cancer (NSCLC) is a malignant tumor that threatens human life and health. The development of a new NSCLC risk assessment model based on electronic medical records has great potential for re...

    Authors: Shi Shang, Junyi Yuan, Changqing Pan, Sufen Wang, Xuemin Tu, Xingxing Cen, Linhui Mi and Xumin Hou
    Citation: BMC Medical Informatics and Decision Making 2023 23:296
  34. Visualising patient genomic data in a cohort with embedding data analytics models can provide relevant and sensible patient comparisons to assist a clinician with treatment decisions. As immersive technology i...

    Authors: Zhonglin Qu, Quang Vinh Nguyen, Chng Wei Lau, Andrew Johnston, Paul J. Kennedy, Simeon Simoff and Daniel Catchpoole
    Citation: BMC Medical Informatics and Decision Making 2023 23:295
  35. Invasive detection methods such as liver biopsy are currently the gold standard for diagnosing liver cirrhosis and can be used to determine the degree of liver fibrosis and cirrhosis. In contrast, non-invasive...

    Authors: Xiaopei Liu, Dan Liu, Cong’e Tan and Wenzhe Feng
    Citation: BMC Medical Informatics and Decision Making 2023 23:294
  36. We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MS...

    Authors: Fredrik Granviken, Ingebrigt Meisingset, Ottar Vasseljen, Kerstin Bach, Anita Formo Bones and Nina Elisabeth Klevanger
    Citation: BMC Medical Informatics and Decision Making 2023 23:293
  37. circRNAs play an important role in drug resistance and cancer development. Recently, many studies have shown that the expressions of circRNAs in human cells can affect the sensitivity of cells to therapeutic d...

    Authors: Guanghui Li, Feifan Zeng, Jiawei Luo, Cheng Liang and Qiu Xiao
    Citation: BMC Medical Informatics and Decision Making 2023 23:291
  38. The electronic community health information system has been increasingly developed and deployed to quantify and support quality health service delivery by community health workers in Ethiopia. However, the suc...

    Authors: Tariku Nigatu Bogale, Herman Willems, Loko Abraham Bongassie, Yemariam Eyob, Chaluma Kumela Mengesha, Bantalem Yeshanew Yihun, Mesud Mohammed, Naod Wendrad, Gemechis Melkamu, Dawit Wolde Daka, Selamawit Meressa and Tadesse Alemu Bekele
    Citation: BMC Medical Informatics and Decision Making 2023 23:290
  39. Given that patients’ medication adherence is regarded as the major part of disease control and improving health literacy can be effective in promoting adherence to healthy behaviors, the present study aimed to...

    Authors: Maryam Karami, Hossein Ashtarian, Mojgan Rajati, Behrooz Hamzeh and Fatemeh Rajati
    Citation: BMC Medical Informatics and Decision Making 2023 23:289
  40. The integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions’ students...

    Authors: Walid Al-Qerem, Judith Eberhardt, Anan Jarab, Abdel Qader Al Bawab, Alaa Hammad, Fawaz Alasmari, Badi’ah Alazab, Daoud Abu Husein, Jumana Alazab and Saed Al-Beool
    Citation: BMC Medical Informatics and Decision Making 2023 23:288
  41. This study seeks to investigate independent risk factors affecting the prognoses of patients with bladder pain syndrome/interstitial cystitis (BPS/IC) following hydrodistention surgery and to develop a column ...

    Authors: Lei Pang, Zijun Ding, Hongqiang Chai and Weibing Shuang
    Citation: BMC Medical Informatics and Decision Making 2023 23:287
  42. The implementation of precision medicine is likely to have a huge impact on clinical cancer care, while the doctor-patient relationship is a crucial aspect of cancer care that needs to be preserved. This syste...

    Authors: Å. Grauman, M. Ancillotti, J. Veldwijk and D. Mascalzoni
    Citation: BMC Medical Informatics and Decision Making 2023 23:286
  43. Autism Spectrum Disorder (ASD) diagnosis can be aided by approaches based on eye-tracking signals. Recently, the feasibility of building Visual Attention Models (VAMs) from features extracted from visual stimu...

    Authors: Felipe O. Franco, Jessica S. Oliveira, Joana Portolese, Fernando M. Sumiya, Andréia F. Silva, Ariane Machado-Lima, Fatima L.S. Nunes and Helena Brentani
    Citation: BMC Medical Informatics and Decision Making 2023 23:285
  44. Sepsis is accompanied by a considerably high risk of mortality in the short term, despite the availability of recommended mortality risk assessment tools. However, these risk assessment tools seem to have limi...

    Authors: Yan Zhang, Weiwei Xu, Ping Yang and An Zhang
    Citation: BMC Medical Informatics and Decision Making 2023 23:283
  45. 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
  46. 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
  47. 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

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