Dilum Aluthge
Biography
Dilum is currently an M.D./Ph.D. student at Brown. His research interests include learning health systems, electronic health records, health information exchange, clinical decision support, standards and interoperability, machine learning, knowledge discovery, and physiologic reserve. Dilum received his Ph.D. in biomedical informatics and computational biology in May 2024, under the mentorship of Neil Sarkar and Liz Chen. His doctoral dissertation was titled "Physiologic Reserve and Modular Learning Health Systems." During his Ph.D. studies, he was awarded the Julia Community Prize for his contributions to community infrastructure and community building in the Julia Programming Language project. He received his Bachelor of Science in applied mathematics from Brown University; he graduated magna cum laude, and he was elected to Phi Beta Kappa. He also received the Rohn Truell Prize for special distinction in applied mathematics, awarded by Brown's Division of Applied Mathematics.
Publications
- Brown KA, Donise KR, Cancilliere MK, Aluthge DP, Chen ES. Characterizing Autism Spectrum Disorder and Predicting Suicide Risk for Pediatric Psychiatric Emergency Services Encounters. AMIA Annu Symp Proc. 2024;2023:864-873. Published 2024 Jan 11.
- Brown KA, Sarkar IN, Crowley KM, Aluthge DP, Chen ES. An Unsupervised Cluster Analysis of Post-COVID-19 Mental Health Outcomes and Associated Comorbidities. AMIA Annu Symp Proc. 2023;2022:289-298. Published 2023 Apr 29.
- Sinha I, Aluthge DP, Chen ES, Sarkar IN, Ahn SH. Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR. J Vasc Interv Radiol. 2020;31(6):1018-1024.e4. doi:10.1016/j.jvir.2019.11.030
- Biron DR, Sinha I, Kleiner JE, et al. A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty. J Am Acad Orthop Surg. 2020;28(13):e580-e585. doi:10.5435/JAAOS-D-19-00395