CIBB 2019 Special session - Machine Learning in Healthcare Informatics CFP

[davide...@gmail.com]

Dear colleagues

Please find below the call for papers for the Special session on
Machine Learning in Healthcare Informatics and Medical Biology at the
CIBB 2019 conference.

-- Davide Chicco

== Machine Learning in Healthcare Informatics and Medical Biology CIBB
2019 Special session ==

16th International Conference on Computational Intelligence methods
for Bioinformatics and Biostatistcs
Università di Bergamo, Italy, EU
4th, 5th, 6th September 2019

== Call for papers ==

This is the call for papers for the special session Machine Learning
in Healthcare Informatics and Medical Biology within the 16th
International Conference on Computational Intelligence methods for
Bioinformatics and Biostatistcs (CIBB 2019) that will be held at
Università di Bergamo, Bergamo, Italy, EU.

If you are working on a project related to the topics described below,
you are warmly invited to submit a short paper to our special session.

https://davidechicco.github.io/cibb2019specialsession/

== Aim and scope ==

Machine learning has become a pivotal tool to analyze biomedical and
biological datasets, especially in the Big Data era. In fact, machine
learning algorithms can identify hidden relationships and structures
in health care data, and even take advantage of them to make accurate
predictions about similar or future data instances. For example,
machine learning software has been able to predict the diagnosis of
tumor patients just by processing patients' clinical features,
allowing scientists to save time and money compared to wet lab
experiments. Computational researchers have also exploited machine
learning to infer knowledge about patients by analyzing biological
datasets, especially the ones featuring genetics and epigenomic
traits. Data mining approaches applied to such datasets, in fact, can
lead to relevant discoveries both to understand molecular biology and
to gain new knowledge about patients’ diseases.

Our special session on "Machine Learning in Healthcare Informatics and
Medical Biology" aims at boosting these scientific fields, calling for
researchers able to show the potential and the advance of machine
learning algorithms to make accurate computational predictions in
health care datasets and in patient-oriented biological datasets.

Topics of interest include:

Machine learning methods applied to health care and biomedical datasets
Machine learning methods applied to genetics and epigenomics
datasets, to understand the conditions of healthy and/or sick patients
Machine learning methods applied to biological datasets to
understand the underlying biomolecular scenario
Machine learning software and tools in the health care and biological domain
Statistical models to analyze health care, biomedical, and
biological datasets
Data mining applications in the health care and biological domain

== Special session organizers ==

Davide Chicco*, Peter Munk Cardiac Centre, Toronto, Ontario, Canada
Anne-Christin Hauschild, Philipps-Universitat Marburg, Marburg, Germany
Mickael Mendez, University of Toronto, Toronto, Ontario, Canada
Giuseppe Jurman, Fondazione Bruno Kessler, Trento, Italy
Joao Ribeiro Pinto, Instituto de Engenharia de Sistemas e Computadores
Tecnologia e Ciencia, Porto, Portugal


== Special session invited speaker ==

Marco Masseroli, Politecnico di Milano, Milan, Italy
Talk provisional title: "Processing of big heterogeneous genomic
datasets for tertiary analysis of Next Generation Sequencing data"

== Call for papers - Short paper format ==

All instructions on the website:
https://davidechicco.github.io/cibb2019specialsession/

== Post conference publication ==

New this year: all the papers accepted to our special session will be
invited to submit an extended version to a post-conference supplement
on the BMC Medical Informatics and Decision Making journal. We already
have a preliminary agreement with the journal.

== Dates and deadlines ==

Paper submission deadline: 1st May 2019

== Share this call for papers ==

Please share this call for papers and the URL to this website:
https://davidechicco.github.io/cibb2019specialsession/



::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
Davide Chicco
scientific associate researcher
Peter Munk Cardiac Centre
Toronto, Ontario, Canada
mail: davide...@gmail.com
web: http://www.DavideChicco.it
::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::