Lokesh K. Chinthala

According to our database, Lokesh K. Chinthala authored at least 4 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of the IEEE International Conference on Big Data, 2024

2023

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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2021

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.

Zeyu Liu, Anahita Khojandi, Akram Mohammed, Xueping Li, Lokesh K. Chinthala, Robert L. Davis, Rishikesan Kamaleswaran

Comput. Biol. Medicine, 2021

2020

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