Skip to main content

Articles

Page 1 of 10

  1. The high complexity of systemic autoimmune diseases (SADs) has hindered precise management. This study aims to investigate heterogeneity in SADs.

    Authors: Chia-Wei Chang, Hsin-Yao Wang, Wan-Ying Lin, Yu-Chiang Wang, Wei-Lin Lo, Ting-Wei Lin, Jia-Ruei Yu and Yi-Ju Tseng
    Citation: BioData Mining 2024 17:36
    Content type: Research Published on:

  2. Hospitalizations for exacerbations of congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) and diabetic ketoacidosis (DKA) are costly in the United States. The purpose of this study was...

    Authors: Monique Arnold, Lathan Liou and Mary Regina Boland
    Citation: BioData Mining 2024 17:35
    Content type: Research Published on:

  3. The use of prior knowledge in the machine learning framework has been considered a potential tool to handle the curse of dimensionality in genetic and genomics data. Although random forest (RF) represents a fl...

    Authors: Erika Cantor, Sandra Guauque-Olarte, Roberto León, Steren Chabert and Rodrigo Salas
    Citation: BioData Mining 2024 17:34
    Content type: Research Published on:

  5. This study aims to develop an innovative approach for monitoring and assessing labor pain through ECG waveform analysis, utilizing machine learning techniques to monitor pain resulting from uterine contractions.

    Authors: Yuan-Chia Chu, Saint Shiou-Sheng Chen, Kuen-Bao Chen, Jui-Sheng Sun, Tzu-Kuei Shen and Li-Kuei Chen
    Citation: BioData Mining 2024 17:32
    Content type: Research Published on:

  7. Identifying critical genes is important for understanding the pathogenesis of complex diseases. Traditional studies typically comparing the change of biomecules between normal and disease samples or detecting ...

    Authors: Bolin Chen, Jinlei Zhang, Ci Shao, Jun Bian, Ruiming Kang and Xuequn Shang
    Citation: BioData Mining 2024 17:30
    Content type: Research Published on:

  8. Data imbalance is a pervasive issue in medical data mining, often leading to biased and unreliable predictive models. This study aims to address the urgent need for effective strategies to mitigate the impact ...

    Authors: Junliang Zhu, Shaowei Pu, Jiaji He, Dongchao Su, Weijie Cai, Xueying Xu and Hongbo Liu
    Citation: BioData Mining 2024 17:29
    Content type: Research Published on:

  10. Cardiovascular diseases are the main cause of death in the world and cardiovascular imaging techniques are the mainstay of noninvasive diagnosis. Aortic stenosis is a lethal cardiac disease preceded by aortic ...

    Authors: Luís B. Elvas, Sara Gomes, João C. Ferreira, Luís Brás Rosário and Tomás Brandão
    Citation: BioData Mining 2024 17:27
    Content type: Research Published on:

  11. In recent years, significant morbidity and mortality in patients with severe inflammatory bowel disease (IBD) and cytomegalovirus (CMV) have drawn considerable attention to the status of CMV infection in the i...

    Authors: Yang Chen, Qingqing Zheng, Hui Wang, Peiren Tang, Li Deng, Pu Li, Huan Li, Jianhong Hou, Jie Li, Li Wang and Jun Peng
    Citation: BioData Mining 2024 17:26
    Content type: Research Published on:

  13. Pharmacokinetic (PK) studies can provide essential information on abuse liability of nicotine and tobacco products but are intrusive and must be conducted in a clinical environment. The objective of the study ...

    Authors: Krishna Prasad, Allen Griffiths, Kavya Agrawal, Michael McEwan, Flavio Macci, Marco Ghisoni, Matthew Stopher, Matthew Napleton, Joel Strickland, David Keating, Thomas Whitehead, Gareth Conduit, Stacey Murray and Lauren Edward
    Citation: BioData Mining 2024 17:24
    Content type: Research Published on:

  14. Patients with chronic conditions need multiple medications daily to manage their condition. However, most patients have poor compliance, which affects the effectiveness of treatment. To address these challenge...

    Authors: Hangxing Huang, Lu Zhang, Yongyu Yang, Ling Huang, Xikui Lu, Jingyang Li, Huimin Yu, Shuqiao Cheng and Jian Xiao
    Citation: BioData Mining 2024 17:23
    Content type: Research Published on:

  15. The use of machine learning in medical diagnosis and treatment has grown significantly in recent years with the development of computer-aided diagnosis systems, often based on annotated medical radiology image...

    Authors: Mateja Napravnik, Franko Hržić, Sebastian Tschauner and Ivan Štajduhar
    Citation: BioData Mining 2024 17:22
    Content type: Research Published on:

  16. Changing cell-type proportions can confound studies of differential gene expression or DNA methylation (DNAm) from peripheral blood mononuclear cells (PBMCs). We examined how cell-type proportions derived from...

    Authors: Emily R. Hannon, Carmen J. Marsit, Arlene E. Dent, Paula Embury, Sidney Ogolla, David Midem, Scott M. Williams and James W. Kazura
    Citation: BioData Mining 2024 17:21
    Content type: Research Published on:

  17. Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irrevers...

    Authors: Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding, Yaotan Li, Baoluo Hou, Yuxin Hu, Zhaoxi Dong, Jingyi Tang, Hongfang Liu and Weijing Liu
    Citation: BioData Mining 2024 17:20
    Content type: Research Published on:

  20. Retained surgical items (RSIs) pose significant risks to patients and healthcare professionals, prompting extensive efforts to reduce their incidence. RSIs are objects inadvertently left within patients’ bodie...

    Authors: Mohammed Abo-Zahhad, Ahmed H. Abd El-Malek, Mohammed S. Sayed and Susan Njeri Gitau
    Citation: BioData Mining 2024 17:17
    Content type: Review Published on:

  22. The development of neuroscientific techniques enabling the recording of brain and peripheral nervous system activity has fueled research in cognitive science. Recent technological advancements offer new possib...

    Authors: Carolina Del-Valle-Soto, Ramon A. Briseño, Leonardo J. Valdivia and Juan Arturo Nolazco-Flores
    Citation: BioData Mining 2024 17:15
    Content type: Research Published on:

  23. Supervised machine learning models have been widely used to predict and get insight into diseases by classifying patients based on personal health records. However, a class imbalance is an obstacle that disrup...

    Authors: Yeongmin Kim, Wongyung Choi, Woojeong Choi, Grace Ko, Seonggyun Han, Hwan-Cheol Kim, Dokyoon Kim, Dong-gi Lee, Dong Wook Shin and Younghee Lee
    Citation: BioData Mining 2024 17:14
    Content type: Research Published on:

  24. A knowledge graph can effectively showcase the essential characteristics of data and is increasingly emerging as a significant means of integrating information in the field of artificial intelligence. Coronary...

    Authors: Jia-Ming Huan, Xiao-Jie Wang, Yuan Li, Shi-Jun Zhang, Yuan-Long Hu and Yun-Lun Li
    Citation: BioData Mining 2024 17:13
    Content type: Research Published on:

  25. Recent researches have found a strong correlation between the triglyceride-glucose (TyG) index or the atherogenic index of plasma (AIP) and cardiovascular disease (CVD) risk. However, there is a lack of resear...

    Authors: Yuqi Zhang, Sijin Li, Weijie Wu, Yanqing Zhao, Jintao Han, Chao Tong, Niansang Luo and Kun Zhang
    Citation: BioData Mining 2024 17:12
    Content type: Research Published on:

  29. Breast cancer is the most common malignancy among women worldwide. Despite advances in treating breast cancer over the past decades, drug resistance and adverse effects remain challenging. Recent therapeutic p...

    Authors: Thanyawee Srithanyarat, Kittisak Taoma, Thana Sutthibutpong, Marasri Ruengjitchatchawalya, Monrudee Liangruksa and Teeraphan Laomettachit
    Citation: BioData Mining 2024 17:8
    Content type: Research Published on:

  30. Epistasis, the interaction between two or more genes, is integral to the study of genetics and is present throughout nature. Yet, it is seldom fully explored as most approaches primarily focus on single-locus ...

    Authors: Sandra Batista, Vered Senderovich Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer and Jason H. Moore
    Citation: BioData Mining 2024 17:7
    Content type: Methodology Published on:

  31. Previous studies have shown an association between gut microbiota and cardiovascular diseases (CVDs). However, the underlying causal relationship remains unclear. This study aims to elucidate the causal relati...

    Authors: Xiao-Ce Dai, Yi Yu, Si-Yu Zhou, Shuo Yu, Mei-Xiang Xiang and Hong Ma
    Citation: BioData Mining 2024 17:6
    Content type: Research Published on:

  32. Prioritizing candidate drugs based on genome-wide expression data is an emerging approach in systems pharmacology due to its holistic perspective for preclinical drug evaluation. In the current study, a networ...

    Authors: Regan Odongo, Asuman Demiroglu-Zergeroglu and Tunahan Çakır
    Citation: BioData Mining 2024 17:5
    Content type: Research Published on:

  34. Non-linear relationships at the genotype level are essential in understanding the genetic interactions of complex disease traits. Genome-wide association Studies (GWAS) have revealed statistical association of...

    Authors: Burcu Yaldız, Onur Erdoğan, Sevda Rafatov, Cem Iyigün and Yeşim Aydın Son
    Citation: BioData Mining 2024 17:3
    Content type: Research Published on:

  35. Nowadays, the chance of discovering the best antibody candidates for predicting clinical malaria has notably increased due to the availability of multi-sera data. The analysis of these data is typically divide...

    Authors: André Fonseca, Mikolaj Spytek, Przemysław Biecek, Clara Cordeiro and Nuno Sepúlveda
    Citation: BioData Mining 2024 17:2
    Content type: Research Published on:

  36. Although the 2019 EULAR/ACR classification criteria for systemic lupus erythematosus (SLE) has required at least a positive anti-nuclear antibody (ANA) titer (≥ 1:80), it remains challenging for clinicians to ...

    Authors: Chih-Wei Chung, Seng-Cho Chou, Tzu-Hung Hsiao, Grace Joyce Zhang, Yu-Fang Chung and Yi-Ming Chen
    Citation: BioData Mining 2024 17:1
    Content type: Research Published on:

  37. The elderly are disproportionately affected by age-related hearing loss (ARHL). Despite being a well-known tool for ARHL evaluation, the Hearing Handicap Inventory for the Elderly Screening version (HHIE-S) ha...

    Authors: Tzong-Hann Yang, Yu-Fu Chen, Yen-Fu Cheng, Jue-Ni Huang, Chuan-Song Wu and Yuan-Chia Chu
    Citation: BioData Mining 2023 16:35
    Content type: Research Published on:

  39. Discrimination between patients affected by inflammatory bowel diseases and healthy controls on the basis of endoscopic imaging is an challenging problem for machine learning models. Such task is used here as ...

    Authors: Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi, Antonio Colangelo, Marcello Dorian Donzella and Giuseppe Jurman
    Citation: BioData Mining 2023 16:33
    Content type: Methodology Published on:

  41. The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches...

    Authors: Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R. Rabiee, Sadegh Ghazanfari and Saharnaz Sazgarnejad
    Citation: BioData Mining 2023 16:31
    Content type: Review Published on:

  43. Patients with Type 2 Diabetes Mellitus (T2DM) are at a higher risk of polypharmacy and more susceptible to irrational prescriptions; therefore, pharmacological therapy patterns are important to be monitored. T...

    Authors: Elnaz Ziad, Somayeh Sadat, Farshad Farzadfar and Mohammad-Reza Malekpour
    Citation: BioData Mining 2023 16:29
    Content type: Research Published on:

  45. Squiggle data is the numerical output of DNA and RNA sequencing by the Nanopore next generation sequencing platform. Nanopore sequencing offers expanded applications compared to previous sequencing techniques ...

    Authors: Naya Nagy, Matthew Stuart-Edwards, Marius Nagy, Liam Mitchell and Athanasios Zovoilis
    Citation: BioData Mining 2023 16:27
    Content type: Research Published on:

  48. Data-driven diabetes research has increased its interest in exploring the heterogeneity of the disease, aiming to support in the development of more specific prognoses and treatments within the so-called precisio...

    Authors: Nelson E. Ordoñez-Guillen, Jose Luis Gonzalez-Compean, Ivan Lopez-Arevalo, Miguel Contreras-Murillo and Edwin Aldana-Bobadilla
    Citation: BioData Mining 2023 16:24
    Content type: Methodology Published on:

  49. Deep learning models can infer cancer patient prognosis from molecular and anatomic pathology information. Recent studies that leveraged information from complementary multimodal data improved prognostication,...

    Authors: Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus and Joshua J. Levy
    Citation: BioData Mining 2023 16:23
    Content type: Research Published on:
Submit manuscript

Follow

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 4.0
    5-year Journal Impact Factor: 3.7
    Source Normalized Impact per Paper (SNIP): 1.413
    SCImago Journal Rank (SJR): 0.958

    Speed 2023
    Submission to first editorial decision (median days): 15
    Submission to acceptance (median days): 171

    Usage 2023
    Downloads: 400,374
    Altmetric mentions: 146
     

BioData Mining

ISSN: 1756-0381