Data Scientist

Publications

For a more detailed summary, please check out my Projects page. My articles are also listed on Google Scholar.

Journal

* indicates equal contribution

  • Bose, S., Kenyon CC, Masino AJ. Personalized prediction of early childhood asthma persistence: A machine learning approach. PLoS One. 2021 Mar 1;16(3):e0247784. doi: 10.1371/journal.pone.0247784. PMID: 33647071.

  • Patton D, Ghosh A, Farkas A, Sotardi S, Francavilla M, Venkatakrishna S, Bose S, Ouyang M, Huang H, Davidson R, Sze R, Nguyen J. Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model, Under Review.

  • *Bose S, *Tomsan H, Patton D, Ghosh A, Ouyang M, Huang H, Sze R, Sotardi S, Francavilla M. Automatic Landmark Detection to Calculate Reimer’s Migration Index for Hip Surveillance in Cerebral Palsy Patients, In Preparation.

  • Ghosh A, Patton D, Bose S, Ouyang M, Huang H, Sze R, Sotardi S, Henry K, Francavilla M. A Patch Based Approach to Identify Rib Fractures on Frontal Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model, In Preparation

Conferences and Presentations

  • Bose S, Berna AZ, Hernandez-Leyva A, Masino AJ, Kau A, John AO. Detecting predictive signatures of asthma in pediatric breath samples using machine learning, International Conference on Health Informatics 2022. Notes: Oral presentation.

  • Ghosh A, Patton D, Bose S, Ouyang M, Huang H, Sze R, Sotardi S, Henry K, Francavilla M. A Patch-based Convolutional Neural Network Approach for the detection of Rib Fractures on Frontal Radiographs in Young Children, The Society for Pediatric Radiology Annual Meeting 2022. Notes: Oral presentation.

  • Campbell EA, Bose S, Masino AJ. Obesity Classifier Performance Disparities by Demographic Subgroup, AMIA Annual Symposium 2021. Notes: Oral presentation.