Multicriteria decision making attributes and estimation of physicochemical properties of kidney cancer drugs via topological descriptors
MN Husin, AR Khan, NUH Awan, FJH Campena… - Plos one, 2024 - journals.plos.org
Based on topological descriptors, QSPR analysis is an incredibly helpful statistical method
for examining many physical and chemical properties of compounds without demanding …
for examining many physical and chemical properties of compounds without demanding …
Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study
B Qiu, Z Shen, D Yang, Q Wang - Frontiers in Oncology, 2023 - frontiersin.org
Background Metastasis in the lungs is common in patients with rectal cancer, and it can
have severe consequences on their survival and quality of life. Therefore, it is essential to …
have severe consequences on their survival and quality of life. Therefore, it is essential to …
Development and External Validation of Machine Learning‐Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population‐Based Study
X Yi, Y Zhang, J Cai, Y Hu, K Wen, P Xie… - … Journal of Clinical …, 2023 - Wiley Online Library
The accuracy of indices widely used to evaluate lung metastasis (LM) in patients with kidney
cancer (KC) is insufficient. Therefore, we aimed at developing a model to estimate the risk of …
cancer (KC) is insufficient. Therefore, we aimed at developing a model to estimate the risk of …
Utilizing machine learning algorithms for predicting risk factors for bone metastasis from right-sided colon carcinoma after complete mesocolic excision: a 10-year …
Y Liu, Y Liu, S Wang, S Niu, L Wang, J Xie, N Zhao… - Discover Oncology, 2024 - Springer
Background Bone metastasis (BM) occurs when colon cancer cells disseminate from the
primary tumor site to the skeletal system via the bloodstream or lymphatic system. The …
primary tumor site to the skeletal system via the bloodstream or lymphatic system. The …
[HTML][HTML] Machine learning for predicting the survival in osteosarcoma patients: Analysis based on American and Hebei Province cohort
Y Hao, D Liang, S Zhang, S Wu, D Li… - Biomolecules and …, 2023 - ncbi.nlm.nih.gov
Osteosarcoma, a rare malignant tumor, has a poor prognosis. This study aimed to find the
best prognostic model for osteosarcoma. There were 2912 patients included from the …
best prognostic model for osteosarcoma. There were 2912 patients included from the …
Анализ показателей выживаемости и оценка факторов прогноза у больных с метастазами рака почки в легкие
ДВ Семенов, РВ Орлова, ВИ Широкорад… - Сибирский …, 2024 - siboncoj.ru
Аннотация У пациентов с метастазами в легкие почечно-клеточного рака (ПКР)
необходим поиск новых прогностических факторов, влияющих на показатели …
необходим поиск новых прогностических факторов, влияющих на показатели …