Machine learning predicts early onset of fever from continuous physiological data of critically ill patients. - Aditya Singh; Akram Mohammed; Lokesh K. Chinthala; Rishikesan Kamaleswaran (CoRR, 2020)

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. - Zeyu Liu 002; Anahita Khojandi; Akram Mohammed; Xueping Li; Lokesh K. Chinthala; Robert L. Davis; Rishikesan Kamaleswaran (Comput. Biol. Medicine, 2021)

Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. - Arash Shaban-Nejad; Nariman Ammar; Fekede Asefa Kumsa; Soheil Hashtarkhani; Brianna White; Lokesh K. Chinthala; Chase A. Owens; Neil Hayes; David L. Schwartz (MedInfo, 2023)

AI-Ready Multimodal Data Pipeline to Enrich Cancer Care. - Rezaur Rashid; Soheil Hashtarkhani; Fekede Asefa Kumsa; Lokesh K. Chinthala; Brianna M. White; Janet A ZinK; Christopher L. Brett; Robert L. Davis; David L. Schwartz; Arash Shaban-Nejad (IEEE Big Data, 2024)