Our Research
Published work showcasing our team's expertise in machine learning and clinical analysis.
MDPI
Identifying Risk Groups in 73,000 Patients with Diabetes Receiving Total Hip Replacement: A Machine Learning Clustering Analysis
Alishah Ahmadi; Anthony J. Kaywood; Alejandra Chavarria; Oserekpamen Favour Omobhude; Adam Kiss; Mateusz Faltyn; Jason S. Hoellwarth
Open Publication
American Academy of Neurology
Machine Learning Clustering and Subgroup Analysis of 12,000 Patients with Lacunar Stroke (P6-14.013)
Ariel Sacknovitz; Adam C. Kiss; Rafay Khan; Samy Khessib; Hao Yu; Mateusz Faltyn; Fawaz Al-Mufti
Open Publication
American Academy of Neurology
Analysis of 20,000 Patients with Acute Ischemic Stroke treated with Endovascular Thrombectomy using Machine Learning Clustering Algorithm (P12-13.006)
Ariel Sacknovitz; Rafay Khan; Adam C. Kiss; Aryan Malhotra; Mateusz Faltyn; Fawaz Al-Mufti
Open Publication
American Academy of Neurology
Mortality, Discharge Disposition, and Length-of-Stay in Patients with Heart Failure and Acute Ischemic Stroke: Machine Learning Clustering Analysis of 83,000 Patients (P4-13.008)
James Beck; Adam Kiss; Aryan Malhotra; Mateusz Faltyn; Fawaz Al-Mufti
Open Publication
American Academy of Neurology
Machine Learning Clustering Algorithm Analysis of Dementia and Acute Ischemic Stroke in 53,000 Patients (P5-3.006)
Ariel Sacknovitz; Aryan Malhotra; Adam C. Kiss; Hao Yu; Rafay Khan; Mateusz Faltyn; Fawaz Al-Mufti
Open Publication