• Aucun résultat trouvé

Challenges and roadmap for machine learning from medical data streams

N/A
N/A
Protected

Academic year: 2022

Partager "Challenges and roadmap for machine learning from medical data streams"

Copied!
1
0
0

Texte intégral

(1)

Challenges and roadmap for machine learning from medical data streams

Experts Panel Summary

Pedro Pereira Rodrigues

Health Information and Decision Sciences Department Faculty of Medicine of the University of Porto

Portugal pprodrigues@med.up.pt

Abstract. Given that it is still a young research area, the workshop aimed at convening researchers from related fields in order to find and consolidate a network of interests. To that extent, the workshop pro- moted a panel discussion on the“Challenges and roadmap for machine learning from medical data streams”, with the participation of three scholar experts: Carlo Combi (University of Verona, Italy), an expert on temporal information systems, with an emphasis on the management of clinical information;Carolyn McGregor(University of Ontario Insti- tute of Technology, Canada), an expert on health informatics, with an emphasis on data streams processing in critical care settings; andJo˜ao Gama(University of Porto, Portugal), an expert on machine learning, with an emphasis on learning from ubiquitous data streams. Several top- ics were suggested to be discussed, such as the main domains where medical data is produced as a stream, and issues that differentiate this research area from other related fields. Overall, most experts opinion fo- cused on the need to address problems on a temporal basis: temporal processing of data, temporal modelling of the reality, temporal learning from data, and temporal assessment of knowledge. Globally, the panel provided a forum to discover how related fields of research are actually approaching the same problems and connecting solutions.

Références

Documents relatifs

Récupérez sur le site ftp à l’aide d’une ligne de commande le fichier suivant splice .tar.gz que l’on peut trouver à l’URL suivante : ftp.cs.toronto.edu dans le répertoire

Pénal protection, electronic consumer, criminal responsibility, electronic payment cards, the penal code.. فوصلاوب ظيف ا دبع ما ا زكرﳌا – ﺔﻠيم ىقتﻠﳌا

[r]

Recently a new set of techniques, called Conformal Predictors, have been developed that allows to make predictions with valid measures of confidence. The approach is based

Another field that requires more research is the intersection between security (and especially privacy related) research and ML - be it in the form of privacy aware machine

STA/LTA methods along with manual analysis were used to build a labeled dataset of observations of volcano- seismic events: each event was manually associated to a class by the

The present paper aims at filling this gap: our goal is to propose an online perspective to principal curves by automatically and sequentially learning the best principal