(Apologies for cross-posting)
====================================================================== *CFP: Artificial Intelligence in Medicine (AIM@EPIA-2021)* Thematic track of the 20th Portuguese Conference on Artificial Intelligence (EPIA 2021) 7-9 September 2021, Online Webpage:https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim ====================================================================== *IMPORTANT DATES* – Full Paper Submission:_April 30, 2021_ – Notification of Acceptance: May 31, 2021 – Camera ready Papers: June 15, 2021 – Conference Date: September 7-9, 2021
*IMPORTANT NEWS* – LNCS/LNAI Proceedings (Springer) – Special issue of the journal Medical Systems with selected papers*
*INTRODUCTION* Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies. Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices. The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine? Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals. AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions. AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge. In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity. This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions. By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine. Special attention will be given to the social impact/gain of the AI contributions in medicine.
*TOPICS OF INTEREST* Innovative and exciting works are welcome in areas including but not limited to:
Medical methodologies, architectures, environments, and systems. • Agents for information retrieval; • AI in Medical Education and Clinical Management; • Wellbeing and lifestyle support; • Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine; • Methodological, philosophical, ethical, and social issues of AI in Medicine; • Pervasive Healthcare Environments; • Software architectures. Knowledge engineering and Decision Support Systems: • AI-based clinical decision making and Clinical Decision Support Systems; • Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge; • Business Intelligence in Health Care; • Clinical Data Mining; • Data Streaming; • Diagnostic assistance; • Expert, agent-based or knowledge-based systems; • Medical knowledge engineering; • Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care. Medical Applications and Devices • Computational intelligence in bio- and clinical medicine; • Electronic Health Records (eHealth); • Image recognition and interpretation; • Intelligent devices and instruments; • Sensor-based applications; • Telemedicine and mHealth solutions; • Ubiquitous devices in the storage, update, and transmission of patient data; • Usability and acceptability. AI in Healthcare Information Systems • Autonomous systems to support independent living; • Healthcare System Based on Cloud Computing; • Intelligent Healthcare information systems; • Pervasive Information Systems; • Pervasiveness and Security in Clinical Systems; • Smart homes, hospitals and Intelligent Systems; • Simulation Computer systems.   *PAPER SUBMISSION* Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science). Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity. All papers should be submitted in PDF format through the EPIA2021 submission Website (www.easychair.org/my/conference?conf=epia2021#) selecting the track Artificial Intelligence in Medicine (AIM). All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge). *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)
*ORGANIZING COMMITTEE* * Manuel Filipe Santos, University of Minho, Portugal (contact person)mfs@dsi.uminho.pt * Carlos Filipe Portela, University of Minho, Portugalcfp@dsi.uminho.pt * Allan Tucker, Brunel University London, Uk * Manuel Fernandez Delgado, University of Santiago de Compostela, Spain

Competition: Telecom System Reconciliation (on high dimensional datasets)
Goal: Predict the correct configuration of the Billing system based on CRM configuration
Have you ever been charged for something you did not subscribe to? How hard could it be to get my invoice right?
One of the most important processes for telecommunications operators is service provisioning to a customer. This is the process responsible to provide you with the services you contracted and charging you for them.
In this competition, we challenge you to predict the right bill for a customer given the services he contracted. The goal is to build a model that receives the configuration of the CRM system and predicts the correct configuration of the Billing system.
Kaggle is hosting this competition in the Web page:
www.kaggle.com/t/10bf70a6f68f4e57bea47a3b32b6e746
Accept the challenge, have fun and win!!!

Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt