Current research on non-invasive intracranial pressure estimation, the senior thesis it grew out of, and earlier work on clinical-data ML.
An offline reinforcement learning benchmark for insulin dosing in a general intensive care unit population, built from the MIMIC-III critical care database. Unlike prior work that models a single intravenous …
Supervisor: Dr. Baseem Al-Athwari, Department of Smart Computing, Kyungdong University
Co-authored with Ndikuriyo Don Christ Ajax, Dhieu Grace Nyankir Gabriel, and Baseem Al-Athwari at the Department of Smart Computing, Kyungdong University, South Korea.
Connected and software-defined vehicles increasingly interact with …
Supervisor: Baseem Al-Athwari (Kyungdong University)
Intracranial pressure is one of the more consequential numbers in a neurocritical-care unit, and getting it usually means a catheter through the skull. The work asks a simple question: how …
Supervisor: Prof. Zubaer Ibna Mannan, Smart Computing, Kyungdong University
Predicting heart defects from chest X-rays alongside the temporal metadata that comes with them, rather than treating each frame in isolation. A CNN trained over the CheXchoNet release reached AUC …
Supervisor: Dr. Baseem Al-Athwari, Department of Smart Computing, Kyungdong University
First real ML research project. A binary classifier over the Cleveland Clinic dataset, predicting cardiovascular disease from a small set of patient features. The interesting work was less the model …