Editorial Special Issues

Advances in computational methods for process and data mining in healthcare

  • Received: 18 June 2024 Revised: 04 July 2024 Accepted: 07 July 2024 Published: 10 July 2024
  • Citation: Marco Pegoraro, Elisabetta Benevento, Davide Aloini, Wil M.P. van der Aalst. Advances in computational methods for process and data mining in healthcare[J]. Mathematical Biosciences and Engineering, 2024, 21(7): 6603-6607. doi: 10.3934/mbe.2024288

    Related Papers:

    [1] Merve Nur TİFTİK, Tugba GURGEN ERDOGAN, Ayça KOLUKISA TARHAN . A framework for multi-perspective process mining into a BPMN process model. Mathematical Biosciences and Engineering, 2022, 19(11): 11800-11820. doi: 10.3934/mbe.2022550
    [2] Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Youcef Djenouri, Chun-Hao Chen, Zhongcui Li . The density-based clustering method for privacy-preserving data mining. Mathematical Biosciences and Engineering, 2019, 16(3): 1718-1728. doi: 10.3934/mbe.2019082
    [3] Nguyen Thi Giang, Shu-Yi Liaw . An application of data mining algorithms for predicting factors affecting Big Data Analysis adoption readiness in SMEs. Mathematical Biosciences and Engineering, 2022, 19(8): 8621-8647. doi: 10.3934/mbe.2022400
    [4] Wangping Xiong, Kaiqi Wang, Shixiong Liu, Zhaoyang Liu, Yimin Zhu, Peng Liu, Ming Yang, Xian Zhou . Multiple prescription pattern recognition model based on Siamese network. Mathematical Biosciences and Engineering, 2023, 20(10): 18695-18716. doi: 10.3934/mbe.2023829
    [5] Jiayu Fu, Haiyan Wang, Risu Na, A JISAIHAN, Zhixiong Wang, Yuko OHNO . Recent advancements in digital health management using multi-modal signal monitoring. Mathematical Biosciences and Engineering, 2023, 20(3): 5194-5222. doi: 10.3934/mbe.2023241
    [6] Xinyun Zhang, Tao Ding . Co-occurrence word model for news media hotspot mining-text mining method design. Mathematical Biosciences and Engineering, 2024, 21(4): 5411-5429. doi: 10.3934/mbe.2024238
    [7] Yuqing Lu . A knowledge-driven decision support system for remote medical management. Mathematical Biosciences and Engineering, 2023, 20(2): 2732-2749. doi: 10.3934/mbe.2023128
    [8] Weitao Liu, Qiushuang Zheng, Lifu Pang, Weimeng Dou, Xiangxi Meng . Study of roof water inrush forecasting based on EM-FAHP two-factor model. Mathematical Biosciences and Engineering, 2021, 18(5): 4987-5005. doi: 10.3934/mbe.2021254
    [9] Liang Liu, Wen Chen, Lei Zhang, JiaYong Liu, Jian Qin . A type of block withholding delay attack and the countermeasure based on type-2 fuzzy inference. Mathematical Biosciences and Engineering, 2020, 17(1): 309-327. doi: 10.3934/mbe.2020017
    [10] Jihong Yang, Hao Xu, Congshu Li, Zhenhao Li, Zhe Hu . An explorative study for leveraging transcriptomic data of embryonic stem cells in mining cancer stemness genes, regulators, and networks. Mathematical Biosciences and Engineering, 2022, 19(12): 13949-13966. doi: 10.3934/mbe.2022650


  • A correction on

    Derrick Lonsdale, Chandler Marrs. The potential of lipid soluble thiamine in the treatment of cancer, by D. Lonsdale, C. Marrs. AIMS Biophysics, 2020, 7(1): 17–26. DOI: 10.3934/biophy.2020002. The original article was submitted and published with an incorrect abstract taken from another source. When the error was identified, it was corrected immediately.

    Abstract: In the 1920s Otto Heinrich Warburg and his group concluded that deprivation of glucose and oxygen in tumor cells led to a lack of energy, resulting in cell death. He believed that this was the cause of cancer. Later research pointed towards environmental or genetic influences but modern researchers concluded that the Warburg effect was secondary to that of oncogenes. Thus, the prevailing research for many years has been directed almost exclusively towards the study of genetics. The pendulum appears to be swinging back, however, to a more metabolically driven etiology. Arguably, the impairment of oxidative phosphorylation, leading as it does to a decrease of ATP concentration, gives rise to a compensatory massive glucose uptake and anaerobic glycolysis; hallmarks of cancer that are the consequence of the Warburg effect and subsequent mitochondrial damage. Recent mitochondrial research confirms this. When highly metastatic cells are transplanted to media with healthy mitochondria, tumorigenesis is suppressed. Conversely, when healthy cells are paired with unhealthy mitochondria, oncogenesis is induced. This suggests that disturbed oxidative metabolism is a key component of oncogenesis and that rectifying oxidative metabolism may be a promising goal for cancer therapy. As the rate limiting nutrient in oxidative phosphorylation, a fundamental co-factor for amino acid and fatty acid metabolism, thiamine is central to effective energy management, and as such, it is also indispensable to the energy consuming methylation cycle. Additionally, thiamine connects other common patterns observed in oncogenesis; namely, hypoxia, low glutathione, and elevated or altered ROS reactions forcing the shift towards the telltale anaerobic metabolism common in cancer. Thiamine, thus, is a critical nutrient to assess and address with cancer. This paper discusses the role of thiamine in metabolism, mitochondrial function, epigenetics, and oncogenesis and suggests a role for a lipid soluble form of thiamine in the treatment of cancer.



    [1] W.M.P. van der Aalst, Process mining: Data science in action, Second Edition, Springer International Publishing, (2016). https://doi.org/10.1007/978-3-662-49851-4
    [2] E. Rojas, J. Munoz-Gama, M. Sepúlveda, D. Capurro, Process mining in healthcare: A literature review, J. Biomed. Inform., 61 (2016), 224–236. https://doi.org/10.1016/j.jbi.2016.04.007 doi: 10.1016/j.jbi.2016.04.007
    [3] M. Ghasemi, D. Amyot, Process mining in healthcare: A systematised literature review, Int. J. Electron. Healthcare, 9 (2016), 60–88. https://doi.org/10.1504/IJEH.2016.078745 doi: 10.1504/IJEH.2016.078745
    [4] T.G. Erdogan, A.K. Tarhan, Systematic mapping of process mining studies in healthcare, IEEE Access, 6 (2018), 24543–24567. https://doi.org/10.1109/ACCESS.2018.2831244 doi: 10.1109/ACCESS.2018.2831244
    [5] C. Fernandez-Llatas, Interactive process mining in healthcare, Springer International Publishing, (2020). https://doi.org/10.1007/978-3-030-53993-1
    [6] A. Guzzo, A. Rullo, E. Vocaturo, Process mining applications in the healthcare domain: A comprehensive review, WIREs Data Mining Knowledge Discovery, 12 (2022), e1442. https://doi.org/10.1002/widm.1442 doi: 10.1002/widm.1442
    [7] E. De Roock, N. Martin, Process mining in healthcare - An updated perspective on the state of the art, J. Biomed. Inform., 127 (2022), 103995. https://doi.org/10.1016/j.jbi.2022.103995 doi: 10.1016/j.jbi.2022.103995
    [8] W. M. P. van der Aalst, A. Adriansyah, A. K. A. De Medeiros, F. Arcieri, T. Baier, T. Blickle, et al., Process mining manifesto, in Business Process Management Workshops: BPM 2011 International Workshops, Clermont-Ferrand, France, August 29, 2011, Revised Selected Papers, Part I (eds. F. Daniel, K. Barkaoui, S. Dustdar), 9 (2012), 169–194. https://doi.org/10.1007/978-3-642-28108-2_19
    [9] R. S. Mans, W. M. P. van der Aalst, R. J. B. Vanwersch, Process mining in healthcare: Evaluating and exploiting operational healthcare processes, Springer International Publishing, (2015). https://doi.org/10.1007/978-3-319-16071-9
    [10] F. Daniel, Q. Z. Sheng, H. Motahari, Business process management workshops - BPM 2018 international workshops, Sydney, NSW, Australia, September 9-14, 2018, revised papers, Lecture Notes in Business Information Processing, 342 (2019). https://doi.org/10.1007/978-3-030-11641-5 doi: 10.1007/978-3-030-11641-5
    [11] J. Munoz-Gama, N. Martin, C. Fernandez-Llatas, O. Johnson, M. Sepúlveda, Innovative informatics methods for process mining in health care, J. Biomed. Inform., 134 (2022), 104203. https://doi.org/10.1016/j.jbi.2022.104203 doi: 10.1016/j.jbi.2022.104203
    [12] J. Munoz-Gama, N. Martin, C. Fernandez-Llatas, O. A. Johnson, M. Sepúlveda, E. Helm, et al., Process mining for healthcare: Characteristics and challenges, J. Biomed. Inform., 127 (2022), 103994. https://doi.org/10.1016/j.jbi.2022.103994 doi: 10.1016/j.jbi.2022.103994
    [13] N. Martin, N. Wittig, J. Munoz-Gama, Using Process Mining in Healthcare, in Process Mining Handbook (eds. W. M. P. van der Aalst, J. Carmona), Lecture Notes in Business Information Processing, 448 (2022), 416–444, Springer. https://doi.org/10.1007/978-3-031-08848-3_14
    [14] M. Jiang, B. Zhou, L. Chen, Identification of drug side effects with a path-based method, Math. Biosci. Eng., 19 (2022), 5754–5771. https://doi.org/10.3934/mbe.2022269 doi: 10.3934/mbe.2022269
    [15] M. N. Tiftik, T. G. Erdogan, A. K. Tarhan, A framework for multi-perspective process mining into a BPMN process model, Math. Biosci. Eng., 19 (2022), 11800–11820. https://doi.org/10.3934/mbe.2022550 doi: 10.3934/mbe.2022550
    [16] J. Grüger, M. Kuhn, R. Bergmann, Reconstructing invisible deviating events: A conformance checking approach for recurring events, Math. Biosci. Eng., 19 (2022), 11782–11799. https://doi.org/10.3934/mbe.2022549 doi: 10.3934/mbe.2022549
    [17] Y. Shi, X. Huang, Z. Du, J. Tan, Analysis of single-cell RNA-sequencing data identifies a hypoxic tumor subpopulation associated with poor prognosis in triple-negative breast cancer, Math. Biosci. Eng., 19 (2022), 5793–5812. https://doi.org/10.3934/mbe.2022271 doi: 10.3934/mbe.2022271
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1329) PDF downloads(101) Cited by(0)

Article outline

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog