Cargando…
Machine Learning in Prediction of Bladder Cancer on Clinical Laboratory Data
Bladder cancer has been increasing globally. Urinary cytology is considered a major screening method for bladder cancer, but it has poor sensitivity. This study aimed to utilize clinical laboratory data and machine learning methods to build predictive models of bladder cancer. A total of 1336 patien...
Autores principales: | Tsai, I-Jung, Shen, Wen-Chi, Lee, Chia-Ling, Wang, Horng-Dar, Lin, Ching-Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774436/ https://www.ncbi.nlm.nih.gov/pubmed/35054370 http://dx.doi.org/10.3390/diagnostics12010203 |
Ejemplares similares
-
Machine Learning in Prediction of Second Primary Cancer and Recurrence in Colorectal Cancer
por: Ting, Wen-Chien, et al.
Publicado: (2020) -
Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning
por: Lien, Frank, et al.
Publicado: (2021) -
Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease
por: Lee, Hyun-Gyu, et al.
Publicado: (2023) -
An integrated machine learning predictive scheme for longitudinal laboratory data to evaluate the factors determining renal function changes in patients with different chronic kidney disease stages
por: Tsai, Ming-Hsien, et al.
Publicado: (2023) -
Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning
por: Chen, Chien-Chang, et al.
Publicado: (2018)