no code implementations • 4 Dec 2023 • Ishaan Gupta, Samyutha Ayalasomayajula, Yashas Shashidhara, Anish Kataria, Shreyas Shashidhara, Krishita Kataria, Aditya Undurti
The models were trained and tested using the Food and Agricultural Organization of the United Nations data, along with the World Bank Climate Change Data Catalog.
no code implementations • 16 Nov 2023 • Debarati Das, Ishaan Gupta, Jaideep Srivastava, Dongyeop Kang
Our research integrates graph data with Large Language Models (LLMs), which, despite their advancements in various fields using large text corpora, face limitations in encoding entire graphs due to context size constraints.
no code implementations • 2 Sep 2021 • Samarth Bhatia, Yukti Makhija, Sneha Jayaswal, Shalendra Singh, Ishaan Gupta
Here, we present two interpretable machine learning models predicting the clinical outcomes, severity, and mortality, of the patients based on routine non-invasive surveillance of blood parameters from one of the largest cohorts of Indian patients at the day of admission.
no code implementations • 15 Jan 2021 • Yukti Makhija, Samarth Bhatia, Shalendra Singh, Sneha Kumar Jayaswal, Prabhat Singh Malik, Pallavi Gupta, Shreyas N. Samaga, Shreya Johri, Sri Krishna Venigalla, Rabi Narayan Hota, Surinder Singh Bhatia, Ishaan Gupta
Therefore, it becomes essential to triage the patients based on the severity of their disease and devote resources towards critically ill patients.