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  1. This paper developed federated solutions based on two approximation algorithms to achieve federated generalized linear mixed effect models (GLMM). The paper also proposed a solution for numerical errors and si...

    Authors: Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen and Xiaoqian Jiang
    Citation: BMC Medical Informatics and Decision Making 2022 22:269
  2. Insomnia, eating disorders, heart problems and even strokes are just some of the illnesses that reveal the negative impact of stress overload on health and well-being. Early detection of stress is therefore of...

    Authors: Marija Stojchevska, Bram Steenwinckel, Jonas Van Der Donckt, Mathias De Brouwer, Annelies Goris, Filip De Turck, Sofie Van Hoecke and Femke Ongenae
    Citation: BMC Medical Informatics and Decision Making 2022 22:268
  3. Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles,...

    Authors: Bum-Sup Jang, Andrew J. Park and In Ah Kim
    Citation: BMC Medical Informatics and Decision Making 2022 22:267
  4. Telehealth services can utilize various information technologies and improve quality and efficiency of healthcare delivery by facilitating education, treatment, follow-up, and decision-making. However, these s...

    Authors: Farnia Velayati, Haleh Ayatollahi, Morteza Hemmat and Reza Dehghan
    Citation: BMC Medical Informatics and Decision Making 2022 22:266
  5. Decision coaching is non-directive support delivered by a trained healthcare provider to help people prepare to actively participate in making healthcare decisions. This study aimed to understand how and under...

    Authors: Junqiang Zhao, Janet Jull, Jeanette Finderup, Maureen Smith, Simone Maria Kienlin, Anne Christin Rahn, Sandra Dunn, Yumi Aoki, Leanne Brown, Gillian Harvey and Dawn Stacey
    Citation: BMC Medical Informatics and Decision Making 2022 22:265
  6. Despite the use of health information technology (HIT) for controlling and managing lupus, its effectiveness has not been well studied. The objective of this study was to investigate the role of HIT in control...

    Authors: Khadijeh Moulaei, Elham Rajaei, Leila Ahmadian and Reza Khajouei
    Citation: BMC Medical Informatics and Decision Making 2022 22:264
  7. Digital technologies such as mobile phones have shown potential as vital tools for use in healthcare and related services. However, little has been done to explore its use for prosthetics rehabilitative servic...

    Authors: Walter Onen Yagos, Geoffrey Tabo Olok, Emmanuel Ben Moro, Jonathan Huck and Mahesh Nirmalan
    Citation: BMC Medical Informatics and Decision Making 2022 22:263
  8.  Dementia is a group of symptoms that largely affects older people. The majority of patients face behavioural and psychological symptoms (BPSD) during the course of their illness. Alzheimer’s disease (AD) and ...

    Authors: Alok Joshi, Stephen Todd, David P. Finn, Paula L. McClean and KongFatt Wong-Lin
    Citation: BMC Medical Informatics and Decision Making 2022 22:262
  9. The Charlson comorbidity index (CCI), the most ubiquitous comorbid risk score, predicts one-year mortality among hospitalized patients and provides a single aggregate measure of patient comorbidity. The Quan a...

    Authors: Stephen P. Fortin, Jenna Reps and Patrick Ryan
    Citation: BMC Medical Informatics and Decision Making 2022 22:261
  10. Statistical information (e.g., on long-term survival or side effects) may be valuable for healthcare providers to share with their patients to facilitate shared decision making on treatment options. In this pr...

    Authors: Ruben D. Vromans, Saar Hommes, Felix J. Clouth, Deborah N. N. Lo-Fo-Wong, Xander A. A. M. Verbeek, Lonneke van de Poll-Franse, Steffen Pauws and Emiel Krahmer
    Citation: BMC Medical Informatics and Decision Making 2022 22:260
  11. Quality is the most important factor in satisfaction. However, the existing satisfaction index model of urban and rural resident-based basic medical insurance scheme (SIM_URRBMI) lacks the segmentation of perc...

    Authors: Wenwei Cheng, Shiwen Wang, Xiaofang Liu, Yanyan Wu, Jin Cheng, Weichu Sun, Xiaofang Yan, Qi Wang, Liai Peng, Xiaoli Liu, Tingting Sha, Jingcheng Shi and Fang Yang
    Citation: BMC Medical Informatics and Decision Making 2022 22:259
  12. Aging is a chief risk factor for most chronic illnesses and infirmities. The growth in the aged population increases medical costs, thus imposing a heavy financial burden on families and communities. Successfu...

    Authors: Zahra Asghari Varzaneh, Mostafa Shanbehzadeh and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2022 22:258
  13. Chronic respiratory conditions are a prominent public health issue and thus, building a patient registry might facilitate both policy decision making and improvement of clinical management processes. Hellenic ...

    Authors: Vlasios K. Dimitriadis, Christina Alexopoulou, Anastasia Amfilochiou, Paschalis Steiropoulos, Georgia Trakada, Dimitra Siopi, Athanasia Pataka, Elpis Hatziagorou, Athanasios Konstandinidis, John Tsanakas, Venetia Tsara and Pantelis Natsiavas
    Citation: BMC Medical Informatics and Decision Making 2022 22:257
  14. Providing electronic health data to medical practitioners to reflect on their performance can lead to improved clinical performance and quality of care. Understanding the sensemaking process that is enacted when ...

    Authors: Emma Whitelock-Wainwright, Jia Wei Koh, Alexander Whitelock-Wainwright, Stella Talic, David Rankin and Dragan Gašević
    Citation: BMC Medical Informatics and Decision Making 2022 22:256
  15. Diabetic retinopathy (DR) is a leading cause of blindness in American adults. If detected, DR can be treated to prevent further damage causing blindness. There is an increasing interest in developing artificia...

    Authors: Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang and Yonghui Wu
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 3):255

    This article is part of a Supplement: Volume 22 Supplement 3

  16. Medical decision support systems (CDSSs) are increasingly used in medicine, but their utility in daily medical practice is difficult to evaluate. One variant of CDSS is a generator of differential diagnoses (D...

    Authors: P. Fritz, A. Kleinhans, R. Raoufi, A. Sediqi, N. Schmid, S. Schricker, M. Schanz, C. Fritz-Kuisle, P. Dalquen, H. Firooz, G. Stauch and M. D. Alscher
    Citation: BMC Medical Informatics and Decision Making 2022 22:254
  17. The kidney exchange problem (KEP) addresses the matching of patients in need for a replacement organ with compatible living donors. Ideally many medical institutions should participate in a matching program to...

    Authors: Timm Birka, Kay Hamacher, Tobias Kussel, Helen Möllering and Thomas Schneider
    Citation: BMC Medical Informatics and Decision Making 2022 22:253
  18. Numerous people never receive a formal dementia diagnosis. This issue can be addressed by early detection systems that utilize alternative forms of classification, such as gait, balance, and sensory function p...

    Authors: Emilija Kostic, Kiyoung Kwak and Dongwook Kim
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 5):252

    This article is part of a Supplement: Volume 22 Supplement 5

  19. Censorship is the primary challenge in survival modeling, especially in human health studies. The classical methods have been limited by applications like Kaplan–Meier or restricted assumptions like the Cox re...

    Authors: Ali Sheidaei, Abbas Rahimi Foroushani, Kimiya Gohari and Hojjat Zeraati
    Citation: BMC Medical Informatics and Decision Making 2022 22:251
  20. There is much evidence to implement physical activity interventions for medical reasons in healthcare settings. However, the prescription of physical activity as a treatment, referring to as ‘Exercise is Medic...

    Authors: Adrie Bouma, Femke van Nassau, Joske Nauta, Leonie Krops, Hidde van der Ploeg, Evert Verhagen, Lucas van der Woude, Helco van Keeken and Rienk Dekker
    Citation: BMC Medical Informatics and Decision Making 2022 22:250
  21. Electronic Health Records (EHR) has been espoused to be an innovation from the paper-based system, with benefits such as fast access to patient information thereby facilitating healthcare provider communicatio...

    Authors: Priscilla Y. A. Attafuah, Patience Aseweh Abor, Aaron Asibi Abuosi, Edward Nketiah-Amponsah and Immaculate Sabelile Tenza
    Citation: BMC Medical Informatics and Decision Making 2022 22:249
  22. Point of care testing (POCT) devices have been developed to facilitate immediate results with the potential to aid screening for new disease and enable patients to self-monitor their disease. Non-communicable ...

    Authors: Z. Yonel, K. Kuningas, P. Sharma, M. Dutton, Z. Jalal, P. Cockwell, J. Webber, P. Narendran, T. Dietrich and I. L. C. Chapple
    Citation: BMC Medical Informatics and Decision Making 2022 22:248
  23. More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per year with anemia, the reduction of red blood cells or hemoglobin in the blood. The world health organization divides anem...

    Authors: Belayneh Endalamaw Dejene, Tesfamariam M. Abuhay and Dawit Shibabaw Bogale
    Citation: BMC Medical Informatics and Decision Making 2022 22:247
  24. Optimal COVID-19 management is still undefined. In this complicated scenario, the construction of a computational model capable of extracting information from electronic medical records, correlating signs, sym...

    Authors: Anna S. Levin, Maristela P. Freire, Maura Salaroli de Oliveira, Ana Catharina S. Nastri, Leila S. Harima, Lauro Vieira Perdigão-Neto, Marcello M. Magri, Gabriel Fialkovitz, Pedro H. M. F. Figueiredo, Rinaldo Focaccia Siciliano, Ester C. Sabino, Danilo P. N. Carlotti, Davi Silva Rodrigues, Fátima L. S. Nunes and João Eduardo Ferreira
    Citation: BMC Medical Informatics and Decision Making 2022 22:246
  25. Lung cancer is the leading cause of cancer death worldwide. Prognostic prediction plays a vital role in the decision-making process for postoperative non-small cell lung cancer (NSCLC) patients. However, the h...

    Authors: Danqing Hu, Huanyao Zhang, Shaolei Li, Huilong Duan, Nan Wu and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2022 22:245
  26. Medical evidence from more recent observational studies may significantly alter our understanding of disease incidence and progression, and would require recalibration of existing computational and predictive ...

    Authors: Carolina Vivas-Valencia, You Zhou, Aditya Sai, Thomas F. Imperiale and Nan Kong
    Citation: BMC Medical Informatics and Decision Making 2022 22:244
  27. Urinary incontinence (UI) is the inability to completely control the process of releasing urine. UI presents a social, medical, and mental issue with financial consequences.

    Authors: Haneen Ali, Abdulaziz Ahmed, Carlos Olivos, Khaled Khamis and Jia Liu
    Citation: BMC Medical Informatics and Decision Making 2022 22:243
  28. Diagnoses that arise after admission are of interest because they can represent complications of health care, acute conditions arising de novo, or acute decompensation of a chronic comorbidity occurring during...

    Authors: Vijaya Sundararajan, Marie-Annick Le Pogam, Danielle A. Southern, Harold Alan Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):382

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

  29. Multiple sclerosis (MS) is a neurological condition whose symptoms, severity, and progression over time vary enormously among individuals. Ideally, each person living with MS should be provided with an accurate p...

    Authors: Md Zakir Hossain, Elena Daskalaki, Anne Brüstle, Jane Desborough, Christian J. Lueck and Hanna Suominen
    Citation: BMC Medical Informatics and Decision Making 2022 22:242
  30. Renal cell carcinoma is characterized by a late recurrence that occurs 5 years after surgery; hence, continuous monitoring and follow-up is necessary. Prognosis of late recurrence of renal cell carcinoma can o...

    Authors: Hyung Min Kim, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seok Ho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha and Sung-Hoo Hong
    Citation: BMC Medical Informatics and Decision Making 2022 22:241
  31. The goal of the study is to assess the downstream effects of who requests personal information from individuals for artificial intelligence-(AI) based healthcare research purposes—be it a pharmaceutical compan...

    Authors: Michaela Soellner and Joerg Koenigstorfer
    Citation: BMC Medical Informatics and Decision Making 2022 22:240
  32. Thirteen essential maternal child health (MCH) commodities, identified by the UN Commission on Life-Saving Commodities for Women and Children, could save the lives of more than 6 million women and children in ...

    Authors: Dawei Wang, Rhoann Kerh, Sungbum Jun, Seokcheon Lee, Roy William Mayega, Julius Ssentongo, Andualem Oumer, Md Haque, Priyanka Brunese and Yuehwern Yih
    Citation: BMC Medical Informatics and Decision Making 2022 22:239
  33. Clinical decision support systems (CDSS) have been shown to reduce medication errors. However, they are underused because of different challenges. One approach to improve CDSS is to use ontologies instead of r...

    Authors: Elena Calvo-Cidoncha, Concepción Camacho-Hernando, Faust Feu, Xavier Pastor-Duran, Carles Codina-Jané and Raimundo Lozano-Rubí
    Citation: BMC Medical Informatics and Decision Making 2022 22:238
  34. Effective deployment of AI tools in primary health care requires the engagement of practitioners in the development and testing of these tools, and a match between the resulting AI tools and clinical/system ne...

    Authors: Amanda L. Terry, Jacqueline K. Kueper, Ron Beleno, Judith Belle Brown, Sonny Cejic, Janet Dang, Daniel Leger, Scott McKay, Leslie Meredith, Andrew D. Pinto, Bridget L. Ryan, Moira Stewart, Merrick Zwarenstein and Daniel J. Lizotte
    Citation: BMC Medical Informatics and Decision Making 2022 22:237
  35. Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from the translocation of chromosomes 19 and 22. CML includes 15–20% of all cases of leukemia. Although bone marrow transplant and, mor...

    Authors: Mostafa Shanbehzadeh, Mohammad Reza Afrash, Nader Mirani and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2022 22:236
  36. Clinical trial protocols are the foundation for advancing medical sciences, however, the extraction of accurate and meaningful information from the original clinical trials is very challenging due to the compl...

    Authors: Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor Lobanov, Chunhua Weng and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 3):235

    This article is part of a Supplement: Volume 22 Supplement 3

  37. The relationship between biomedical entities is complex, and many of them have not yet been identified. For many biomedical research areas including drug discovery, it is of paramount importance to identify th...

    Authors: Yeawon Lee, Jinseok Son and Min Song
    Citation: BMC Medical Informatics and Decision Making 2022 22:234
  38. Rhabdomyolysis (RM) is a life-threatening adverse drug reaction in which statins are the one commonly related to RM. The study aimed to explore the association between statin used and RM or other muscular rela...

    Authors: Patratorn Kunakorntham, Oraluck Pattanaprateep, Charungthai Dejthevaporn, Ratchainant Thammasudjarit and Ammarin Thakkinstian
    Citation: BMC Medical Informatics and Decision Making 2022 22:233
  39. An electronic prescription system is a mechanism that has long been implemented in many countries around the world. In the present study, we reviewed the requirements, standards, and features of an electronic ...

    Authors: Marjan Vejdani, Mehdi Varmaghani, Marziyhe Meraji, Jamshid Jamali, Elaheh Hooshmand and Ali Vafaee-Najar
    Citation: BMC Medical Informatics and Decision Making 2022 22:231
  40. The diagnosis of cardiac abnormalities based on heart sound signal is a research hotspot in recent years. The early diagnosis of cardiac abnormalities has a crucial significance for the treatment of heart dise...

    Authors: Wanrong Yang, Jiajie Xu, Junhong Xiang, Zhonghong Yan, Hengyu Zhou, Binbin Wen, Hai Kong, Rui Zhu and Wang Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:230
  41. Extracting metastatic information from previous radiologic-text reports is important, however, laborious annotations have limited the usability of these texts. We developed a deep-learning model for extracting...

    Authors: Hyung Jun Park, Namu Park, Jang Ho Lee, Myeong Geun Choi, Jin-Sook Ryu, Min Song and Chang-Min Choi
    Citation: BMC Medical Informatics and Decision Making 2022 22:229
  42. This study sought to provide machine learning-based classification models to predict the success of intrauterine insemination (IUI) therapy. Additionally, we sought to illustrate the effect of models fitting w...

    Authors: Sajad Khodabandelu, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy and Masoumeh Golsorkhtabaramiri
    Citation: BMC Medical Informatics and Decision Making 2022 22:228
  43. Patient-reported outcome measurements (PROMs) are commonly used in clinical practice to support clinical decision making. However, few studies have investigated machine learning methods for predicting PROMs ou...

    Authors: Deepika Verma, Duncan Jansen, Kerstin Bach, Mannes Poel, Paul Jarle Mork and Wendy Oude Nijeweme d’Hollosy
    Citation: BMC Medical Informatics and Decision Making 2022 22:227
  44. The application of machine learning to cardiac auscultation has the potential to improve the accuracy and efficiency of both routine and point-of-care screenings. The use of convolutional neural networks (CNN)...

    Authors: George Zhou, Yunchan Chen and Candace Chien
    Citation: BMC Medical Informatics and Decision Making 2022 22:226
  45. The automated detection of atrial activations (AAs) recorded from intracardiac electrograms (IEGMs) during atrial fibrillation (AF) is challenging considering their various amplitudes, morphologies and cycle l...

    Authors: Yann Prudat, Adrian Luca, Sasan Yazdani, Nicolas Derval, Pierre Jaïs, Laurent Roten, Benjamin Berte, Etienne Pruvot, Jean-Marc Vesin and Patrizio Pascale
    Citation: BMC Medical Informatics and Decision Making 2022 22:225
  46. Beta-lactam antimicrobial concentrations are frequently suboptimal in critically ill patients. Population pharmacokinetic (PopPK) modeling is the golden standard to predict drug concentrations. However, curren...

    Authors: Jarne Verhaeghe, Sofie A. M. Dhaese, Thomas De Corte, David Vander Mijnsbrugge, Heleen Aardema, Jan G. Zijlstra, Alain G. Verstraete, Veronique Stove, Pieter Colin, Femke Ongenae, Jan J. De Waele and Sofie Van Hoecke
    Citation: BMC Medical Informatics and Decision Making 2022 22:224
  47. Although treatment decisions for localized prostate cancer (LPC) are preference-sensitive, the extent to which individuals with LPC receive preference-concordant treatment is unclear. In a sample of individual...

    Authors: Rachel A. Pozzar, Niya Xiong, Fangxin Hong, Christopher P. Filson, Peter Chang, Barbara Halpenny and Donna L. Berry
    Citation: BMC Medical Informatics and Decision Making 2022 22:223
  48. Fainting is a well-known side effect of blood donation. Such adverse experiences can diminish the return rate for further blood donations. Identifying factors associated with fainting could help prevent advers...

    Authors: Susanne Suessner, Norbert Niklas, Ulrich Bodenhofer and Jens Meier
    Citation: BMC Medical Informatics and Decision Making 2022 22:222
  49. Venous thromboembolism has been a major public health problem and caused a heavy disease burden. Venous thromboembolism clinical decision support system was proved to have a positive influence on the preventio...

    Authors: Huixian Zha, Kouying Liu, Ting Tang, Yue-Heng Yin, Bei Dou, Ling Jiang, Hongyun Yan, Xingyue Tian, Rong Wang and Weiping Xie
    Citation: BMC Medical Informatics and Decision Making 2022 22:221

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