Death Prediction by Race in Colorectal Cancer Patients Using Machine Learning Approaches
28. července 2023
Řečníci
Abiel Roche-Lima
Řečník · 0 sledujících
Frances Aponte
Řečník · 0 sledujících
Frances Heredia Negron
Řečník · 0 sledujících
Brenda Nieves-Rodriguez
Řečník · 0 sledujících
O prezentaci
Cancer (CRC) cases have increased worldwide. In USA, African Americans have a higher incidence than other races. In this paper, we aimed to use ML to study specific factors or variables affecting the high incidence of CRC mortality by race after receiving treatments and create models to predict death. We used metastatic CRC Genes Sequencing Studies as data. The patient’s inclusion was based on receiving chemotherapy and grouped by race (White-American and African-American). Five supervised ML methods were implemented for creating model predictions and a Mini-Batched-Normalized-Mutual-Information-Hybrid-Feature-Selection method to extract features including more than 25,000 genes. As a result, the best model was obtained with the Classification-Regression-Trees algorithm (AUC-ROC= 0.91 for White-American, AUC-ROC=0.89 for African Americans). The features "DBNL gene", "PIN1P1 gene" and "Days-from-birth" were the most significant variables associated with CRC mortality for White-American, while "IFI44L-gene", "ART4-gene" and "Sex" were the most relevant related to African-American. In conclusion, these features and models are promising for further analysis and decision-making tools to study CRC from a precision medicine perspective for minority health.Cancer (CRC) cases have increased worldwide. In USA, African Americans have a higher incidence than other races. In this paper, we aimed to use ML to study specific factors or variables affecting the high incidence of CRC mortality by race after receiving treatments and create models to predict death. We used metastatic CRC Genes Sequencing Studies as data. The patient’s inclusion was based on receiving chemotherapy and grouped by race (White-American and African-American). Five supervised ML me…
Baví vás formát? Nechte SlidesLive zachytit svou akci!
Profesionální natáčení a streamování po celém světě.
Sdílení
Doporučená videa
Prezentace na podobné téma, kategorii nebo přednášejícího
On the Role of Attention in Prompt-tuning
Zhlédnout později
Samet Oymak, …
Inferring Relational Potentials in Interacting Systems
Zhlédnout později
Armand Comas, …
LIV: Language-Image Representations and Rewards for Robotic Control
Zhlédnout později
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes
Zhlédnout později
Approximately Optimal Core Shapes for Tensor Decompositions
Zhlédnout později
UMD: Unsupervised Model Detection for X2X Backdoor Attacks
Zhlédnout později
Zhen Xiang, …