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Fusion: Practice and Applications
Volume 14 , Issue 1, PP: 263-272 , 2024 | Cite this article as | XML | Html |PDF

Title

Survival Analysis Based on Fusion of Decisions from Multiple Tree Structure: A Cutting-Edge Approach

  Luz M. Aguirre Paz 1 * ,   Jorge Viteri Moya 2 ,   Rita Azucena D. Vásquez 3 ,   Darvin M. Ramírez Guerra 4 ,   Dekhkonov Burkhon 5

1  Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador
    (direccionadmision@uniandes.edu.ec)

2  Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador
    (direccionacademica@uniandes.edu.ec)

3  Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador
    (ui.ritadiaz@uniandes.edu.ec u)

4  Club deportivo de la universidad San Martín de Porres, Peru
    (dramirezg1978@gmail.com)

5  TSUE Research department, Uzbekistan
    (b.dekhkonov@tsue.uz)


Doi   :   https://doi.org/10.54216/FPA.140119

Received: June 24, 2023 Revised: October 20, 2023 Accepted: December 11, 2023

Abstract :

Survival analysis remains an important area in predictive modeling, especially in cases where event timing information is critical.  This work presents a research effort to investigate the application of LightGBM, a high-performance high-throughput model, to conduct an improved fusion of decisions from multiple trees to reach survival analysis. Our objective is to address the challenge of developing correct predictive models while advancing computational effectiveness.  Based on a case study of live disaster scenarios, the proposed approach applies and compares LightGBM with traditional prediction methods, which involve careful design engineering, and model training with LightGBM tree structure refinement. The results obtained from fair experimentation and comprehensive predictive performance evaluation demonstrate the robustness of LightGBM in increasing the accuracy of relevant classification tasks toward survival analysis. Furthermore, the findings highlighted that the combination of excellent tree depth for cutting and multi-thread optimization promotes efficient computational complexity and prediction accuracy.

Keywords :

Survival analysis; Information Fusion; Predictive modeling; Machine learning; Prognostic analysis; Time-to-event analysis; Novel prognostic models.

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Cite this Article as :
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MLA Luz M. Aguirre Paz, Jorge Viteri Moya, Rita Azucena D. Vásquez, Darvin M. Ramírez Guerra, Dekhkonov Burkhon. "Survival Analysis Based on Fusion of Decisions from Multiple Tree Structure: A Cutting-Edge Approach." Fusion: Practice and Applications, Vol. 14, No. 1, 2024 ,PP. 263-272 (Doi   :  https://doi.org/10.54216/FPA.140119)
APA Luz M. Aguirre Paz, Jorge Viteri Moya, Rita Azucena D. Vásquez, Darvin M. Ramírez Guerra, Dekhkonov Burkhon. (2024). Survival Analysis Based on Fusion of Decisions from Multiple Tree Structure: A Cutting-Edge Approach. Journal of Fusion: Practice and Applications, 14 ( 1 ), 263-272 (Doi   :  https://doi.org/10.54216/FPA.140119)
Chicago Luz M. Aguirre Paz, Jorge Viteri Moya, Rita Azucena D. Vásquez, Darvin M. Ramírez Guerra, Dekhkonov Burkhon. "Survival Analysis Based on Fusion of Decisions from Multiple Tree Structure: A Cutting-Edge Approach." Journal of Fusion: Practice and Applications, 14 no. 1 (2024): 263-272 (Doi   :  https://doi.org/10.54216/FPA.140119)
Harvard Luz M. Aguirre Paz, Jorge Viteri Moya, Rita Azucena D. Vásquez, Darvin M. Ramírez Guerra, Dekhkonov Burkhon. (2024). Survival Analysis Based on Fusion of Decisions from Multiple Tree Structure: A Cutting-Edge Approach. Journal of Fusion: Practice and Applications, 14 ( 1 ), 263-272 (Doi   :  https://doi.org/10.54216/FPA.140119)
Vancouver Luz M. Aguirre Paz, Jorge Viteri Moya, Rita Azucena D. Vásquez, Darvin M. Ramírez Guerra, Dekhkonov Burkhon. Survival Analysis Based on Fusion of Decisions from Multiple Tree Structure: A Cutting-Edge Approach. Journal of Fusion: Practice and Applications, (2024); 14 ( 1 ): 263-272 (Doi   :  https://doi.org/10.54216/FPA.140119)
IEEE Luz M. Aguirre Paz, Jorge Viteri Moya, Rita Azucena D. Vásquez, Darvin M. Ramírez Guerra, Dekhkonov Burkhon, Survival Analysis Based on Fusion of Decisions from Multiple Tree Structure: A Cutting-Edge Approach, Journal of Fusion: Practice and Applications, Vol. 14 , No. 1 , (2024) : 263-272 (Doi   :  https://doi.org/10.54216/FPA.140119)