Natalie Davidson: Katalogdaten im Frühjahrssemester 2020

NameFrau Dr. Natalie Davidson
Adresse
Professur für Datenanalytik
ETH Zürich, CAB F 52.1
Universitätstrasse 6
8092 Zürich
SWITZERLAND
E-Mailnatalie.davidson@inf.ethz.ch
DepartementInformatik
BeziehungDozentin

NummerTitelECTSUmfangDozierende
252-0868-00LDigitale Medizin II Belegung eingeschränkt - Details anzeigen
Nur für Humanmedizin BSc
4 KP4VJ. Vogt, N. Davidson, G. Rätsch
KurzbeschreibungMachine Learning (ML) methods have shown to have a profound impact in medical applications, where the great variety of tasks and data types enables us to get benefit of ML algorithms in many different ways. In this course we will review the most relevant methods and applications of ML in medicine, and work on practical projects to solve medical problems with the help of ML.
LernzielThe course will start with a general introduction to ML, where we will cover supervised and unsupervised learning techniques, as for example classification and regression models, feature selection and preprocessing of data, clustering and dimensionality reduction techniques. After the introduction of the basic methodologies, we will continue with the most relevant applications of ML in medicine, as for example dealing with time series, medical notes and medical images.
InhaltDuring the last few years, we have observed a rapid growth of Machine Learning (ML) in Medicine. ML methods have shown to have a profound impact in medical applications, where the great variety of tasks and data types enables us to get benefit of ML algorithms in many different ways. In this course we will review the most relevant methods and applications of ML in medicine, discuss the main challenges they present and their current technical solutions, and work on practical projects to solve medical problems with the help of ML.