Dacosta Yeboah

According to our database, Dacosta Yeboah authored at least 5 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning.

Lien A. Bui, Dacosta Yeboah, Louis Steinmeister, Sima Azizi, Daniel B. Hier, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021

A PheWAS Model of Autism Spectrum Disorder.

John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A deep learning model to predict traumatic brain injury severity and outcome from MR images.

Dacosta Yeboah, Hung Nguyen, Daniel B. Hier, Gayla R. Olbricht, Tayo Obafemi-Ajayi

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2020

An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups.

Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi

IEEE Access, 2020

Statistical Comparative Analysis and Evaluation of Validation Indices for Clustering Optimization.

Thy Nguyen, Jason Viehman, Dacosta Yeboah, Gayla R. Olbricht, Tayo Obafemi-Ajayi

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020