Tasmin Hassan/LinkedIn
Aug 15, 2026, 11:42
Tasmin Hassan: Explainable AI for Anemia Severity Prediction at IEEE SPICSCON 2026
Tasmin Hassan, ML Researcher, CSE Student at American International University, shared a post on LinkedIn:
”Presented our accepted paper ‘Explainable Machine Learning for Hemoglobin-Independent Anemia Severity Prediction using LightGBM‘ at IEEE SPICSCON 2026, BAUET, Natore.
Grateful to all my team membTasmin Hassan, Rayhan Efaat for their support and to our respected Kamruddin Nur Sir for his valuable guidance.”
Stay updated with Hemostasis Today.
-
Sep 30, 2026, 22:28Recent Mechanical Risk Factors and Young-Onset Cryptogenic Ischemic Stroke – American Heart Association International
-
Sep 30, 2026, 22:22Expert Consensus on Inferior Vena Cava Thrombosis – Thrombosis and Haemostasis Journal
-
Sep 30, 2026, 22:21Markus Abeln: How Platelets, Coagulation, Glycosylation, and Complement Regulate Placental Blood Flow
-
Sep 30, 2026, 22:19Fatma Al Arbawi: Studying Blood Clot Mechanics to Understand Aspirin Resistance and Thrombosis
-
Sep 30, 2026, 22:17Sudhir Kumar: Stroke is a Medical Emergency – and Every Minute Matters
-
Sep 30, 2026, 22:15Luisa Medeiros Visentini: Our Research on Cognitive Impairment After CVT Cited in the International Journal of Stroke
-
Sep 30, 2026, 21:50Jagat Narula: Connecting Cardiovascular Health and Sickle Cell Disease on World Heart Day 2026
-
Sep 30, 2026, 21:38John Kastelein: Exploring the Biology of Cardiovascular Disease at BioCentury Grand Rounds Europe
-
Sep 30, 2026, 21:36Mark Murphy: Irish Heart Foundation Meets With Senator Teresa Costello on World Heart Day