Investigating cancer patients characteristics using a newly generated family of distributions
The study aimed to address the modeling challenges associated with non-normal cancer patient characteristics by introducing a novel family of distributions. The analysis focused on datasets encompassing breast cancer, blood cancer, and acute myeloid leukemia patients. Extensive simulation experiment...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-08-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S111001682300580X |
| _version_ | 1797733056396656640 |
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| author | Meshayil M. Alsolmi |
| author_facet | Meshayil M. Alsolmi |
| author_sort | Meshayil M. Alsolmi |
| collection | DOAJ |
| description | The study aimed to address the modeling challenges associated with non-normal cancer patient characteristics by introducing a novel family of distributions. The analysis focused on datasets encompassing breast cancer, blood cancer, and acute myeloid leukemia patients. Extensive simulation experiments were conducted to compare different estimation techniques and identify the most suitable approach. The results demonstrated that the newly generated family of distributions outperformed the baseline model, providing a closer fit to the cancer patient data and offering valuable insights into patient outcomes and disease treatment. |
| first_indexed | 2024-03-12T12:23:32Z |
| format | Article |
| id | doaj.art-3c4afa0a28af4e5f8d0c18bf455a12c4 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-03-12T12:23:32Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-3c4afa0a28af4e5f8d0c18bf455a12c42023-08-30T05:50:03ZengElsevierAlexandria Engineering Journal1110-01682023-08-0177319340Investigating cancer patients characteristics using a newly generated family of distributionsMeshayil M. Alsolmi0Department of Mathematics, College of Science and Arts at Khulis, University of Jeddah, Jeddah, Saudi ArabiaThe study aimed to address the modeling challenges associated with non-normal cancer patient characteristics by introducing a novel family of distributions. The analysis focused on datasets encompassing breast cancer, blood cancer, and acute myeloid leukemia patients. Extensive simulation experiments were conducted to compare different estimation techniques and identify the most suitable approach. The results demonstrated that the newly generated family of distributions outperformed the baseline model, providing a closer fit to the cancer patient data and offering valuable insights into patient outcomes and disease treatment.http://www.sciencedirect.com/science/article/pii/S111001682300580XGenerated familyPower function distributionData analysis, cancer patientGoodness-of-fit |
| spellingShingle | Meshayil M. Alsolmi Investigating cancer patients characteristics using a newly generated family of distributions Alexandria Engineering Journal Generated family Power function distribution Data analysis, cancer patient Goodness-of-fit |
| title | Investigating cancer patients characteristics using a newly generated family of distributions |
| title_full | Investigating cancer patients characteristics using a newly generated family of distributions |
| title_fullStr | Investigating cancer patients characteristics using a newly generated family of distributions |
| title_full_unstemmed | Investigating cancer patients characteristics using a newly generated family of distributions |
| title_short | Investigating cancer patients characteristics using a newly generated family of distributions |
| title_sort | investigating cancer patients characteristics using a newly generated family of distributions |
| topic | Generated family Power function distribution Data analysis, cancer patient Goodness-of-fit |
| url | http://www.sciencedirect.com/science/article/pii/S111001682300580X |
| work_keys_str_mv | AT meshayilmalsolmi investigatingcancerpatientscharacteristicsusinganewlygeneratedfamilyofdistributions |