Feb. 20, 2024, 5:43 a.m. | Josu\'e Pag\'an, Jos\'e L. Risco-Mart\'in, Jos\'e M. Moya, Jos\'e L. Ayala

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.10972v1 Announce Type: cross
Abstract: Prediction of symptomatic crises in chronic diseases allows to take decisions before the symptoms occur, such as the intake of drugs to avoid the symptoms or the activation of medical alarms. The prediction horizon is in this case an important parameter in order to fulfill the pharmacokinetics of medications, or the time response of medical services. This paper presents a study about the prediction limits of a chronic disease with symptomatic crises: the migraine. For …

abstract arxiv case cs.lg decisions diseases drugs events horizon medical methodology modeling prediction prompt q-bio.qm type

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US