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  1. In healthcare area, big data, if integrated with machine learning, enables health practitioners to predict the result of a disorder or disease more accurately. In Autistic Spectrum Disorder (ASD), it is import...

    Authors: Siti Fairuz Mohd Radzi, Mohd Sayuti Hassan and Muhammad Abdul Hadi Mohd Radzi
    Citation: BMC Medical Informatics and Decision Making 2022 22:306
  2. The association of patent foreman ovale (PFO) and cryptogenic stroke has been studied for years. Although device closure overall decreases the risk for recurrent stroke, treatment effects varied across differe...

    Authors: Dongling Luo, Ziyang Yang, Gangcheng Zhang, Qunshan Shen, Hongwei Zhang, Junxing Lai, Hui Hu, Jianxin He, Shulin Wu and Caojin Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:305
  3. Colorectal cancer (CRC) is a heterogeneous disease with different responses to targeted therapies due to various factors, and the treatment effect differs significantly between individuals. Personalize medical...

    Authors: Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue and Ping Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 11):369

    This article is part of a Supplement: Volume 21 Supplement 11

  4. High dimensionality in electronic health records (EHR) causes a significant computational problem for any systematic search for predictive, diagnostic, or prognostic patterns. Feature selection (FS) methods ha...

    Authors: Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen and Anette Søgaard Nielsen
    Citation: BMC Medical Informatics and Decision Making 2022 22:304
  5. With the development of current medical technology, information management becomes perfect in the medical field. Medical big data analysis is based on a large amount of medical and health data stored in the el...

    Authors: Yuchen Zheng, Zhenggong Han, Yimin Cai, Xubo Duan, Jiangling Sun, Wei Yang and Haisong Huang
    Citation: BMC Medical Informatics and Decision Making 2022 22:303
  6. The early detection and management of uncontrolled cardiovascular risk factors among prediabetes patients can prevent cardiovascular disease (CVD). Prediabetes increases the risk of CVD, which is a leading cau...

    Authors: Daniel M. Saman, Clayton I. Allen, Laura A. Freitag, Melissa L. Harry, JoAnn M. Sperl-Hillen, Jeanette Y. Ziegenfuss, Jacob L. Haapala, A. Lauren Crain, Jay R. Desai, Kris A. Ohnsorg and Patrick J. O’Connor
    Citation: BMC Medical Informatics and Decision Making 2022 22:301
  7. The SI-CURA project (Soluzioni Innovative per la gestione del paziente e il follow up terapeutico della Colite UlceRosA) is an Italian initiative aimed at the development of artificial intelligence solutions to d...

    Authors: Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani and Giuseppe Jurman
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 6):300

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

  8. Achieving healthy ageing has become the only way for China to alleviate the pressure of ageing, especially in rural areas. However, the factors affecting the health of rural older adults are numerous and compl...

    Authors: Jian Wu, Yucheng Chen, Zengwen Wang, Guoheng Hu and Chen Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:299
  9. Upon the discovery of ovarian cysts, obstetricians, gynecologists, and ultrasound examiners must address the common clinical challenge of distinguishing between benign and malignant ovarian tumors. Numerous ty...

    Authors: Shih-Tien Hsu, Yu-Jie Su, Chian-Huei Hung, Ming-Jer Chen, Chien-Hsing Lu and Chih-En Kuo
    Citation: BMC Medical Informatics and Decision Making 2022 22:298
  10. The electroencephalography (EEG) signal carries important information about the electrical activity of the brain, which may reveal many pathologies. This information is carried in certain waveforms and events,...

    Authors: Natheer Khasawneh, Mohammad Fraiwan and Luay Fraiwan
    Citation: BMC Medical Informatics and Decision Making 2022 22:297
  11. The development of technological applications in clinical research, such as electronic informed consent (eIC), is on the rise. The involvement of end users throughout the design process of eIC is of utmost imp...

    Authors: Evelien De Sutter, Stef Verreydt, Koen Yskout, David Geerts, Pascal Borry, An Outtier, Marc Ferrante, Corinne Vandermeulen, Nele Vanmechelen, Bart Van der Schueren and Isabelle Huys
    Citation: BMC Medical Informatics and Decision Making 2022 22:296
  12. Critical values are commonly used in clinical laboratory tests to define health-related conditions of varying degrees. Knowing the values, people can quickly become aware of health risks, and the health profes...

    Authors: Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu and Shenda Hong
    Citation: BMC Medical Informatics and Decision Making 2022 22:295
  13. The last few decades have seen the approval of many new treatment options for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic methodology and criteria. These developments have ...

    Authors: Fianne L. P. Sips, Francesco Pappalardo, Giulia Russo and Roberta Bursi
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 6):294

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

  14. Due to advancements in medicine and the elderly population’s growth with various disabilities, attention to QoL among this age group is crucial. Early prediction of the QoL among the elderly by multiple care p...

    Authors: Maryam Ahmadi and Raoof Nopour
    Citation: BMC Medical Informatics and Decision Making 2022 22:293
  15. Stroke is the main leading cause of long-term disabilities in the world. This protocol will be implemented for a study to evaluate the effects of an Android-based self-care application on patients with stroke.

    Authors: Hamidreza Tadayon, Mehrdad Farzandipour, Ehsan Nabovati, Hossein Akbari and Seyed Ali Masoud
    Citation: BMC Medical Informatics and Decision Making 2022 22:292
  16. Technology-based approaches during pregnancy can facilitate the self-reporting of emotional health issues and improve well-being. There is evidence to suggest that stress during pregnancy can affect the foetus...

    Authors: Sara Balderas-Díaz, María José Rodríguez-Fórtiz, José Luis Garrido, Mercedes Bellido-González and Gabriel Guerrero-Contreras
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 4):291

    This article is part of a Supplement: Volume 22 Supplement 4

  17. Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs ...

    Authors: Gavin T. Kress, Fion Chan, Claudia A. Garcia and Warren S. Merrifield
    Citation: BMC Medical Informatics and Decision Making 2022 22:290
  18. With the availability of several similar medical devices performing the same function, choosing one for reimbursement is not easy, especially if purchased for a large number of patients. The objective of this ...

    Authors: Baher Elezbawy, Ahmad Nader Fasseeh, Bertalan Németh, Mary Gamal, Mariam Eldebeiky, Remonda Refaat, Amr Taha, Shimaa Rabiea, Marwa Abdallah, Soha Ramadan, Hasnaa Noaman, Amany Bahaa Eldin, Hossam Mostafa, Sara Nouh, Asmaa Zaki, Mohamed Abdelrahman…
    Citation: BMC Medical Informatics and Decision Making 2022 22:289
  19. Hospital readmissions for pneumonia are a growing concern in the US, with significant consequences for costs and quality of care. This study developed the rule-based model and other machine learning (ML) model...

    Authors: Yinan Huang, Ashna Talwar, Ying Lin and Rajender R. Aparasu
    Citation: BMC Medical Informatics and Decision Making 2022 22:288
  20. The tendency of amyloid-β to form oligomers in the blood as measured with Multimer Detection System-Oligomeric Amyloid-β (MDS-OAβ) is a valuable biomarker for Alzheimer’s disease and has been verified with hep...

    Authors: Young Chul Youn, Hye Ryoun Kim, Hae-Won Shin, Hae-Bong Jeong, Sang-Won Han, Jung-Min Pyun, Nayoung Ryoo, Young Ho Park and SangYun Kim
    Citation: BMC Medical Informatics and Decision Making 2022 22:286
  21. Asthma is a prevalent chronic disease that is difficult to manage and associated with marked disparities in outcomes. One promising approach to addressing disparities is shared decision making (SDM), a method ...

    Authors: Thomas Ludden, Katherine O’Hare, Lindsay Shade, Kelly Reeves, Charity G. Patterson and Hazel Tapp
    Citation: BMC Medical Informatics and Decision Making 2022 22:285
  22. The sensitivity of RT-PCR in diagnosing COVID-19 is only 60–70%, and chest CT plays an indispensable role in the auxiliary diagnosis of COVID-19 pneumonia, but the results of CT imaging are highly dependent on...

    Authors: Ju Luo, Yuhao Sun, Jingshu Chi, Xin Liao and Canxia Xu
    Citation: BMC Medical Informatics and Decision Making 2022 22:284
  23. The sudden outbreak of COVID-19 in early 2020 pushed the online health-care communities (OHCs) into the public eye in China. However, OHCs is an emerging service model, which still has many problems such as lo...

    Authors: Dixuan Ren and Baolong Ma
    Citation: BMC Medical Informatics and Decision Making 2022 22:283
  24. Cardiac Resynchronization Therapy (CRT) is a widely used, device-based therapy for patients with left ventricle (LV) failure. Unfortunately, many patients do not benefit from CRT, so there is potential value i...

    Authors: Anamul Haque, Doug Stubbs, Nina C. Hubig, Francis G. Spinale and William J. Richardson
    Citation: BMC Medical Informatics and Decision Making 2022 22:282
  25. The purpose of this study was to evaluate HIV/AIDS mobile applications using the Mobile App Rating Scale (MARS) and rate the features of these applications using the new tool called the Feature-based Applicati...

    Authors: Ahmad Raeesi, Reza Khajouei and Leila Ahmadian
    Citation: BMC Medical Informatics and Decision Making 2022 22:281
  26. length of stay (LOS) is the time between hospital admission and discharge. LOS has an impact on hospital management and hospital care functions.

    Authors: Mehrnoosh Eskandari, Amir Hossein Alizadeh Bahmani, Heydar Ali Mardani-Fard, Iman Karimzadeh, Navid Omidifar and Payam Peymani
    Citation: BMC Medical Informatics and Decision Making 2022 22:280
  27. To confront the serious challenge of antimicrobial resistance, using clinical practice guidelines (CPGs) standardizing the prescription behavior is vital. However, the overall mechanisms remains largely unknow...

    Authors: Junbin Huang, Wenbin Liu and Yimin Huang
    Citation: BMC Medical Informatics and Decision Making 2022 22:279
  28. Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what mode...

    Authors: Jianxiang Tang, Xiaoyu Wang, Hongli Wan, Chunying Lin, Zilun Shao, Yang Chang, Hexuan Wang, Yi Wu, Tao Zhang and Yu Du
    Citation: BMC Medical Informatics and Decision Making 2022 22:278
  29. Early prediction of patients’ deterioration is helpful in early intervention for patients at greater risk of deterioration in Intensive Care Unit (ICU). This study aims to apply machine learning approaches to ...

    Authors: Jiang Hu, Xiao-hui Kang, Fang-fang Xu, Ke-zhi Huang, Bin Du and Li Weng
    Citation: BMC Medical Informatics and Decision Making 2022 22:276
  30. Medical imaging reports play an important role in communication of diagnostic information between radiologists and clinicians. Head magnetic resonance imaging (MRI) reports can provide evidence that is widely ...

    Authors: Xiaowei Xu, Lu Qin, Lingling Ding, Chunjuan Wang, Meng Wang, Zixiao Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:275
  31. In this work, we developed many machine learning classifiers to assist in diagnosing respiratory changes associated with sarcoidosis, based on results from the Forced Oscillation Technique (FOT), a non-invasiv...

    Authors: Allan Danilo de Lima, Agnaldo J. Lopes, Jorge Luis Machado do Amaral and Pedro Lopes de Melo
    Citation: BMC Medical Informatics and Decision Making 2022 22:274
  32. Toxic epidermal necrolysis (TEN) patients require multi-directional and multi-disciplinary treatment. In most cases, they are hospitalised at intensive care units and require multi-directional, burn-complicati...

    Authors: Jerzy Strużyna, Agnieszka Surowiecka, Tomasz Korzeniowski, Patrycja Korulczyk, Lukasz Drozd, Aldona Stachura, Kamil Torres and Andrzej Krajewski
    Citation: BMC Medical Informatics and Decision Making 2022 22:273
  33. Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports b...

    Authors: Nakeya Dewaswala, David Chen, Huzefa Bhopalwala, Vinod C. Kaggal, Sean P. Murphy, J. Martijn Bos, Jeffrey B. Geske, Bernard J. Gersh, Steve R. Ommen, Philip A. Araoz, Michael J. Ackerman and Adelaide M. Arruda-Olson
    Citation: BMC Medical Informatics and Decision Making 2022 22:272
  34. Dementia develops as cognitive abilities deteriorate, and early detection is critical for effective preventive interventions. However, mainstream diagnostic tests and screening tools, such as CAMCOG and MMSE, ...

    Authors: Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard and Georgios Paliouras
    Citation: BMC Medical Informatics and Decision Making 2022 22:271
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42.  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
  43. 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
  44. 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
  45. 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
  46. 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

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