Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants
Sakhr Alshwayyat, Haya Kamal, Owais Ghammaz, Tala Abdulsalam Alshwayyat, Mustafa Alshwayyat, Ramez M. Odat, Hamdah Hanifa, Wafa Asha, Nesreen A. Saadeh · 2024
Read Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants by Sakhr Alshwayyat, Haya Kamal, Owais Ghammaz, Tala Abdulsalam Alshwayyat, Mustafa Alshwayyat, Ramez M. Odat, Hamdah Hanifa, Wafa Asha, Nesreen A. Saadeh (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11607134.txt.
Description
Sakhr Alshwayyat and eight co-authors build survival forecasts for two rare variants of papillary thyroid cancer. The variants, Hürthle cell and columnar cell, behave worse than the common form and are seldom studied at scale. The team gathered 3,690 patients, most with the columnar variant, and combined standard survival statistics with five machine learning methods. Each model aimed to predict five-year survival.
For the Hürthle cell variant, spread of the cancer, combined surgery and radiation, and age drove the forecast. For the columnar variant, lymph node stage, spread, and tumor size mattered most. The authors say the models give doctors a working tool for tailoring treatment to each patient. The study also compares how the two variants fare under the main treatment paths.
Catalog record
| CREATOR | Sakhr Alshwayyat, Haya Kamal, Owais Ghammaz, Tala Abdulsalam Alshwayyat, Mustafa Alshwayyat, Ramez M. Odat, Hamdah Hanifa, Wafa Asha, Nesreen A. Saadeh |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 22 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |