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  1. Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease whose spreading and progression mechanisms are still unclear. The ability to predict ALS prognosis would improve the patients’ quality of life...

    Authors: Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano and Barbara Di Camillo
    Citation: BMC Medical Informatics and Decision Making 2023 22(Suppl 6):346

    This article is part of a Supplement: Volume 22 Supplement 6

  2. We are researching, developing, and publishing the clinical decision support system based on learning-to-rank. The main objectives are (1) To support for differential diagnoses performed by internists and gene...

    Authors: Yasuhiko Miyachi, Osamu Ishii and Keijiro Torigoe
    Citation: BMC Medical Informatics and Decision Making 2023 23:26
  3. In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest ...

    Authors: Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström and Ulf Ekelund
    Citation: BMC Medical Informatics and Decision Making 2023 23:25
  4. Dengue is a common viral illness and severe disease results in life-threatening complications. Healthcare services in low- and middle-income countries treat the majority of dengue cases worldwide. However, the...

    Authors: Quang Huy Nguyen, Damien K. Ming, An Phuoc Luu, Ho Quang Chanh, Dong Thi Hoai Tam, Nguyen Thanh Truong, Vo Xuan Huy, Bernard Hernandez, Jennifer Ilo Van Nuil, Chris Paton, Pantelis Georgiou, Nguyet Minh Nguyen, Alison Holmes, Phan Vinh Tho and Sophie Yacoub
    Citation: BMC Medical Informatics and Decision Making 2023 23:24
  5. Good design of cancer registry systems makes them easy to use, while poor design of their user interfaces leads to user dissatisfaction and resistance. The objective of this study was to evaluate the usability...

    Authors: Fatemeh Bagheri, Faezeh Abbasi, Mojtaba Sadeghi and Reza Khajouei
    Citation: BMC Medical Informatics and Decision Making 2023 23:23
  6. Maintaining medication adherence can be challenging for people living with mental ill-health. Clinical decision support systems (CDSS) based on automated detection of problematic patterns in Electronic Health ...

    Authors: Dan Thorpe, Jörg Strobel and Niranjan Bidargaddi
    Citation: BMC Medical Informatics and Decision Making 2023 23:22
  7. Patients with the thalassemia have a basic requirement for self-efficacy regarding their treatment procedure. The present study aimed to compare the effect of self-care education via a smartphone application a...

    Authors: Fahimeh Kharaman-nia, Habibolah Rezaei, Narges Roustaei, Peyman Etemadfar and Nazafarin Hosseini
    Citation: BMC Medical Informatics and Decision Making 2023 23:21
  8. Extracting relevant information about infectious diseases is an essential task. However, a significant obstacle in supporting public health research is the lack of methods for effectively mining large amounts ...

    Authors: Shaina Raza and Brian Schwartz
    Citation: BMC Medical Informatics and Decision Making 2023 23:20
  9. The coronavirus disease 2019 (COVID-19) has developed into a pandemic. Data-driven techniques can be used to inform and guide public health decision- and policy-makers. In generalizing the spread of a virus ov...

    Authors: Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu…
    Citation: BMC Medical Informatics and Decision Making 2023 23:19
  10. The lack of interoperability between health information systems reduces the quality of care provided to patients and wastes resources. Accordingly, there is an urgent need to develop integration mechanisms amo...

    Authors: Amir Torab-Miandoab, Taha Samad-Soltani, Ahmadreza Jodati and Peyman Rezaei-Hachesu
    Citation: BMC Medical Informatics and Decision Making 2023 23:18
  11. Breast cancer is one of the most common cancers diagnosed worldwide and the second leading cause of death among women. Virtual reality (VR) has many opportunities and challenges for breast cancer patients' reh...

    Authors: Alireza Banaye Yazdipour, Soheila Saeedi, Hassan Bostan, Hoorie Masoorian, Hasan Sajjadi and Marjan Ghazisaeedi
    Citation: BMC Medical Informatics and Decision Making 2023 23:17
  12. Detecting brain tumors in their early stages is crucial. Brain tumors are classified by biopsy, which can only be performed through definitive brain surgery. Computational intelligence-oriented techniques can ...

    Authors: Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz and Sharareh R. Niakan Kalhori
    Citation: BMC Medical Informatics and Decision Making 2023 23:16
  13. In China, patients usually determine their medical specialty before they register the corresponding specialists in the hospitals. This process usually requires a lot of medical knowledge for the patients. As a...

    Authors: Chao Mao, Quanjing Zhu, Rong Chen and Weifeng Su
    Citation: BMC Medical Informatics and Decision Making 2023 23:15
  14. Data management system for diabetes clinical trials is used to support clinical data management processes. The purpose of this study was to evaluate the quality and usability of this system from the users’ per...

    Authors: Aynaz Nourani, Haleh Ayatollahi and Masoud Solaymani-Dodaran
    Citation: BMC Medical Informatics and Decision Making 2023 23:14
  15. Visual electrophysiology is an objective visual function examination widely used in clinical work and medical identification that can objectively evaluate visual function and locate lesions according to wavefo...

    Authors: Na Liang, Chengliang Wang, Shiying Li, Xin Xie, Jun Lin and Wen Zhong
    Citation: BMC Medical Informatics and Decision Making 2023 23:13
  16. Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with increased mortality rates and overall health deterioration, and a financial burden for healthcare facilities. As healthcare...

    Authors: Ricardo M. S. Carvalho, Daniela Oliveira and Catia Pesquita
    Citation: BMC Medical Informatics and Decision Making 2023 23:12
  17. Water quality has been compromised and endangered by different contaminants due to Pakistan’s rapid population development, which has resulted in a dramatic rise in waterborne infections and afflicted many reg...

    Authors: Mushtaq Hussain, Mehmet Akif Cifci, Tayyaba Sehar, Said Nabi, Omar Cheikhrouhou, Hasaan Maqsood, Muhammad Ibrahim and Fida Mohammad
    Citation: BMC Medical Informatics and Decision Making 2023 23:11
  18. Quality dimensions are the most important criteria for predicting the success of an information system. The current study aims to evaluate the success of the Iran Electronic Health Record System (SEPAS) based ...

    Authors: Azadeh Bashiri, Mohammad Shirdeli, Fatemeh Niknam, Soheila Naderi and Sahar Zare
    Citation: BMC Medical Informatics and Decision Making 2023 23:10
  19. Globally, 38% of contraceptive users discontinue the use of a method within the first twelve months. In Ethiopia, about 35% of contraceptive users also discontinue within twelve months. Discontinuation reduces...

    Authors: Shimels Derso Kebede, Yakub Sebastian, Abraham Yeneneh, Ashenafi Fentahun Chanie, Mequannent Sharew Melaku and Agmasie Damtew Walle
    Citation: BMC Medical Informatics and Decision Making 2023 23:9
  20. The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Be...

    Authors: Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow…
    Citation: BMC Medical Informatics and Decision Making 2023 23:8
  21. The natural history of many chronic diseases is characterized by periods of increased disease activity, commonly referred to as flare-ups or exacerbations. Accurate characterization of the burden of these exac...

    Authors: Abdollah Safari, John Petkau, Mark J. FitzGerald and Mohsen Sadatsafavi
    Citation: BMC Medical Informatics and Decision Making 2023 23:6
  22. Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate importan...

    Authors: G. T. Berge, O. C. Granmo, T. O. Tveit, B. E. Munkvold, A. L. Ruthjersen and J. Sharma
    Citation: BMC Medical Informatics and Decision Making 2023 23:5
  23. The SingHealth-Duke-GlaxoSmithKline COPD and Asthma Real-world Evidence (SDG-CARE) collaboration was formed to accelerate the use of Singaporean real-world evidence in research and clinical care. A centerpiece...

    Authors: Sean Shao Wei Lam, Andrew Hao Sen Fang, Mariko Siyue Koh, Sumitra Shantakumar, See-Hwee Yeo, David Bruce Matchar, Marcus Eng Hock Ong, Ken Mei Ting Poon, Liming Huang, Sudha Harikrishan, Dominique Milea, Des Burke, Dave Webb, Narayanan Ragavendran, Ngiap Chuan Tan and Chian Min Loo
    Citation: BMC Medical Informatics and Decision Making 2023 23:4
  24. To validate a stratification method using an inverse of treatment decision rules that can classify non-small cell lung cancer (NSCLC) patients in real-world treatment records.

    Authors: Min-Hyung Kim, Sojung Park, Yu Rang Park, Wonjun Ji, Seul-Gi Kim, Minji Choo, Seung-Sik Hwang, Jae Cheol Lee, Hyeong Ryul Kim and Chang-Min Choi
    Citation: BMC Medical Informatics and Decision Making 2023 23:3
  25. Low back pain (LBP) is a common condition made up of a variety of anatomic and clinical subtypes. Lumbar disc herniation (LDH) and lumbar spinal stenosis (LSS) are two subtypes highly associated with LBP. Pati...

    Authors: Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric Meier, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty and Jeffrey G. Jarvik
    Citation: BMC Medical Informatics and Decision Making 2023 23:2
  26. Life-sustaining treatment (LST) in the intensive care unit (ICU) is withheld or withdrawn when there is no reasonable expectation of beneficial outcome. This is especially relevant in old patients where furthe...

    Authors: Michael Beil, P. Vernon van Heerden, Dylan W. de Lange, Wojciech Szczeklik, Susannah Leaver, Bertrand Guidet, Hans Flaatten, Christian Jung, Sigal Sviri and Leo Joskowicz
    Citation: BMC Medical Informatics and Decision Making 2023 23:1
  27. Ovarian cancer is the fifth leading cause of mortality among women in the United States. Ovarian cancer is also known as forgotten cancer or silent disease. The survival of ovarian cancer patients depends on s...

    Authors: Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi and Uffe Kock Wiil
    Citation: BMC Medical Informatics and Decision Making 2022 22:345
  28. Clinical diagnosis based on machine learning usually uses case samples as training samples, and uses machine learning to construct disease prediction models characterized by descriptive texts of clinical manif...

    Authors: Fangyuan Yang, Kang Wang, Lisha Sun, Mengjiao Zhai, Jiejie Song and Hong Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:344
  29. We aimed to develop an early warning system for real-time sepsis prediction in the ICU by machine learning methods, with tools for interpretative analysis of the predictions. In particular, we focus on the dep...

    Authors: Qiyu Chen, Ranran Li, ChihChe Lin, Chiming Lai, Dechang Chen, Hongping Qu, Yaling Huang, Wenlian Lu, Yaoqing Tang and Lei Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:343
  30. Electronic clinical decision support (CDS) within Electronic Health Records has been used to improve patient safety, including reducing unnecessary blood product transfusions. We assessed the effectiveness of ...

    Authors: Jolene Atia, Felicity Evison, Suzy Gallier, Sophie Pettler, Mark Garrick, Simon Ball, Will Lester, Suzanne Morton, Jamie Coleman and Tanya Pankhurst
    Citation: BMC Medical Informatics and Decision Making 2022 22:342
  31. Perinatal mortality in Ethiopia is the highest in Africa, with 68 per 1000 pregnancies intrapartum deaths. It is mainly associated with home delivery, which contributes to more than 75% of perinatal deaths. Fi...

    Authors: Dawit S. Bogale, Tesfamariam M. Abuhay and Belayneh E. Dejene
    Citation: BMC Medical Informatics and Decision Making 2022 22:341
  32. This study aimed to explore whether explainable Artificial Intelligence methods can be fruitfully used to improve the medical management of patients suffering from complex diseases, and in particular to predic...

    Authors: Alessio Bottrighi, Marzio Pennisi, Annalisa Roveta, Costanza Massarino, Antonella Cassinari, Marta Betti, Tatiana Bolgeo, Marinella Bertolotti, Emanuele Rava and Antonio Maconi
    Citation: BMC Medical Informatics and Decision Making 2022 22:340
  33. Assessment and feedback is a common implementation strategy to improve healthcare provider fidelity to clinical guidelines. For immunization guidelines, fidelity is often measured with doses administered durin...

    Authors: Rachel S. Chang, Jaimie Z. Shing, Jennifer C. Erves, Liping Du, Tatsuki Koyama, Stephen Deppen, Alyssa B. Rentuza, Caree McAfee, Christine Stroebel, Janet Cates, Lora Harnack, David Andrews, Robert Bramblett and Pamela C. Hull
    Citation: BMC Medical Informatics and Decision Making 2022 22:339
  34. Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the volume of publications requires the automation of this tedious t...

    Authors: Vincent Martenot, Valentin Masdeu, Jean Cupe, Faustine Gehin, Margot Blanchon, Julien Dauriat, Alexander Horst, Michael Renaudin, Philippe Girard and Jean-Daniel Zucker
    Citation: BMC Medical Informatics and Decision Making 2022 22:338
  35. Causal inference is a crucial element within medical decision-making. There have been many methods for investigating potential causal relationships between disease and treatment options developed in recent yea...

    Authors: Jinghua Yang, Yaping Wan, Qianxi Ni, Jianhong Zuo, Jin Wang, Xiapeng Zhang and Lifang Zhou
    Citation: BMC Medical Informatics and Decision Making 2022 22:337
  36. Given its narrow treatment window, high toxicity, adverse effects, and individual differences in its use, we collected and sorted data on tacrolimus use by real patients with kidney diseases. We then used mach...

    Authors: Weijia Yuan, Lin Sui, Haili Xin, Minchao Liu and Huayu Shi
    Citation: BMC Medical Informatics and Decision Making 2022 22:336
  37. The Federal Ministry of Education and Research of Germany (BMBF) funds a network of university medicines (NUM) to support COVID-19 and pandemic research at national level. The “COVID-19 Data Exchange Platform”...

    Authors: Martin Bialke, Lars Geidel, Christopher Hampf, Arne Blumentritt, Peter Penndorf, Ronny Schuldt, Frank-Michael Moser, Stefan Lang, Patrick Werner, Sebastian Stäubert, Hauke Hund, Fady Albashiti, Jürgen Gührer, Hans-Ulrich Prokosch, Thomas Bahls and Wolfgang Hoffmann
    Citation: BMC Medical Informatics and Decision Making 2022 22:335
  38. Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of...

    Authors: Elisson da Silva Rocha, Flavio Leandro de Morais Melo, Maria Eduarda Ferro de Mello, Barbara Figueiroa, Vanderson Sampaio and Patricia Takako Endo
    Citation: BMC Medical Informatics and Decision Making 2022 22:334
  39. The International Classification of Diseases (ICD) and the International Classification of Diseases for Oncology (ICD-O) are both widely used global classification systems. In 2018, the initial release of the...

    Authors: Yicong Xu, Jingya Zhou and Yi Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:333
  40. Online health communities (OHCs) are becoming effective platforms for people to seek health information. Existing studies divide health information into general and specific information in OHCs. However, few s...

    Authors: Pei Wu and Runtong Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:332
  41. Patients are classified according to the severity of their condition and graded according to the diagnosis and treatment capacity of medical institutions. This study aims to correctly assign patients to medica...

    Authors: Yong Ye, Lizhen Huang, Jie Wang, Yen-Ching Chuang and Lingle Pan
    Citation: BMC Medical Informatics and Decision Making 2022 22:331
  42. The predominant oncologist-led model in many countries is unsustainable to meet the needs of a growing cohort of breast cancer survivors (BCS). Despite available alternative models, adoption rates have been po...

    Authors: Yu Ke, Ivy Cheng, Gretchen Ser Hua Tan, Rose Wai Yee Fok, Jack Junjie Chan, Kiley Wei-Jen Loh and Alexandre Chan
    Citation: BMC Medical Informatics and Decision Making 2022 22:330
  43. Clinically cardiotocography is a technique which is used to monitor and evaluate the level of fetal distress. Even though, CTG is the most widely used device to monitor determine the fetus health, existence of...

    Authors: Yared Daniel Daydulo, Bheema Lingaiah Thamineni, Hanumesh Kumar Dasari and Genet Tadese Aboye
    Citation: BMC Medical Informatics and Decision Making 2022 22:329
  44. Multiple sclerosis (MS) is one of the most common neurological disorders worldwide, and self-management is considered an essential dimension in its control. This study aimed to develop an evidence-based mobile...

    Authors: Zeinab Salimzadeh, Shahla Damanabi, Reza Ferdousi, Sheida Shaafi and Leila R. Kalankesh
    Citation: BMC Medical Informatics and Decision Making 2022 22:328
  45. The importance of successful implementation of e-learning, especially since the emergence of the Covid-19 pandemic, has become increasingly apparent to universities. Thus, identifying the effective factors in ...

    Authors: Mohammadhiwa Abdekhoda, Afsaneh Dehnad and Javad Zarei
    Citation: BMC Medical Informatics and Decision Making 2022 22:327
  46. Breast cancer (BC) is an important reason for mortality rates in Somalian women. In Somalia, many women are late in applying to the hospital for the diagnosis of BC. Breast self-examination (BSE) is considered...

    Authors: Şeyma Zehra Altunkurek and Samira Hassan Mohamed
    Citation: BMC Medical Informatics and Decision Making 2022 22:326
  47. In the hospital environment, to achieve an optimum level of operations and service, it is necessary to develop adequate inventory management system. Stocks can be managed, amongst other ways, through inputs cl...

    Authors: Amanda G. de Assis, Ana Flávia A. dos Santos, Lucas A. dos Santos, João F. da Costa, Marco Antonio L. Cabral and Ricardo P. de Souza
    Citation: BMC Medical Informatics and Decision Making 2022 22:325
  48. Using information technology (IT) for purposes such as patient education and disease prevention and management is effective when patients are ready to use it. The objective of this study was to determine the r...

    Authors: Raana Younesi Tabas, Leila Ahmadian, Mahnaz Samadbeik, Anahita Arian and Arefeh Ameri
    Citation: BMC Medical Informatics and Decision Making 2022 22:324
  49. In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually chal...

    Authors: Amira Soliman, Jose R. Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe…
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 6):318

    This article is part of a Supplement: Volume 22 Supplement 6

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