Graduation Year
2024
Date of Submission
12-2023
Document Type
Campus Only Senior Thesis
Degree Name
Bachelor of Arts
Department
Biology
Reader 1
Ethan Van Arnam
Reader 2
Kathleen Purvis Roberts
Abstract
Artificial Intelligence (AI) has become increasingly involved in the field of healthcare. Specifically, AI-driven models have shown significant promise in diagnosing hematological diseases, such as sepsis and anemia. This thesis proposes methods to create and train a diagnostic AI specific to Thrombotic Thrombocytopenic Purpura (TTP), a hematological disease characterized by the overabundance of blood clots in microvessels and a low expression of the protein ADAMTS13. The diagnostic AI would be trained by a Random Forest Algorithm (RFA), diagnose novel patient populations via a Multilayer Perceptron (MLP), and determine continued disease severity via Recurrent Neural Network (RNN). This AI would be created to quickly and accurately diagnose patients with TTP as a diagnostic aid to physicians.
Recommended Citation
Rhodes, Lauren, "Proposed Creation of an Artificial Intelligence-Driven Diagnostic Tool for Thrombotic Thrombocytopenic Purpura" (2024). CMC Senior Theses. 3459.
https://scholarship.claremont.edu/cmc_theses/3459
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.
