Support Systems in Healthcare Decision

Code:

OPT4_09

Acronym:

SADS

Keywords
Classification	Keyword
OFICIAL	Medicine

Instance: 2024/2025 - 2S (of 03-03-2025 to 13-06-2025)

Active?	No
Responsible unit:	Medical Teaching
Course/CS Responsible:	Integrated Masters Degree in Medicine

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIM	0	Official Study Plan	4	-	3	26	81

Teaching language

Portuguese

Objectives

Learning outcomes and competences

This curricular unit is intended to introduce students to advanced methodologies in data mining.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

None

Program

1. Clusters Analysis: hierarchical methods and nor hierarchical methods;


2. Classification Models: classification trees, linear and quadratic discriminant, Naive Bayes and Neural networks;


3. Regression Models: regression trees, additives models, local linear regression and partially linear models and Neural networks;


4. Learning based on Instances: k-nearest neighbours


5. Methods summary of the information: principal component analysis; 

Mandatory literature

Ian H. Witten, Eibe Frank, Jim Gray; Data mining: Pratical Machine Learning tools and techniques with Java implementations., 2000. ISBN: 978-1558605527
Tom M. Mitchell; Machine Learning , McGraw-Hill Education. ISBN: 9780070428072

Teaching methods and learning activities

The program outlined above involves 28 hours along 1 semester, with the following modalities: theoretical-practical lessons (26 hours: 2h/week).

Software

R

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	20,00
Apresentação/discussão de um trabalho científico	40,00
Trabalho escrito	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Frequência das aulas	26,00
Estudo autónomo	55,00
Total:	81,00

Eligibility for exams

According to the rules of "Conselho Pedagógico" of our Faculty

Calculation formula of final grade

Attendance weighted 20% and presentation and Written Work weighted 80% in the final classification.

Special assessment (TE, DA, ...)

Written Work weighted 100% in the final classification.

Classification improvement

Oral exam.