Course detail
Introduction to Medical Informatics
FEKT-KUMIAcad. year: 2011/2012
Computers in medicine and biology. Data in medicine. Electronic healt record. Probability reasoning. Fuzzy logic. Expert systems. Biomedical statistics. Traditional genetics. Genomics, proteomics and taxonomy. Processing of biological sequences. Standards in medical informatics.
Language of instruction
Czech
Number of ECTS credits
5
Mode of study
Not applicable.
Learning outcomes of the course unit
Basic knowledge and skills in medical informatics with particular emphasis to processing of medical data.
Prerequisites
The subject knowledge on the secondary school level is required.
Co-requisites
Not applicable.
Planned learning activities and teaching methods
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.
Assesment methods and criteria linked to learning outcomes
Requirements for successful completion of the subject are specified by guarantor’s regulation updated for every academic year.
Course curriculum
Computers in medicine and biology. Data in medicine. Electronic healt record. Probability reasoning. Fuzzy logic. Expert systems. Biomedical statistics. Traditional genetics. Genomics, proteomics and taxonomy. Processing of biological sequences. Standards in medical informatics.
Work placements
Not applicable.
Aims
The course should provide the student with the basic theoretical knowledge and practical experience from the area of medical informatics and bioinformatics. The knowledge covers area of processing of specific medical and biological data and computer-aided medical diagnostics.
Specification of controlled education, way of implementation and compensation for absences
Extent and forms are specified by guarantor’s regulation updated for every academic year.
Recommended optional programme components
Not applicable.
Prerequisites and corequisites
Not applicable.
Basic literature
Berka, P. Dobývání znalostí z databází. Praha, Academia 2003.
Kejnovský, E., Hobza, R. Evoluční genomika, Elportál, Brno:Masarykova univerzita, 2006. ISSN 1802-128X
Kelemen J. a kol.: Tvorba expertních systémů v prostředí CLIPS. Praha, Grada 1999.
Novák, V. Základy fuzzy modelování. BEN - Technická literatura, 2002. ISBN: 80-7300-009-1
Zvárová, J. Biomedicínská informatika I. Karolinum, Praha, 2002. ISBN: 80-246-0609-7
Zvárová, J. Biomedicínská statistika I. Karolinum, Praha, 2007. ISBN: 978-80-7184-786-1
Kejnovský, E., Hobza, R. Evoluční genomika, Elportál, Brno:Masarykova univerzita, 2006. ISSN 1802-128X
Kelemen J. a kol.: Tvorba expertních systémů v prostředí CLIPS. Praha, Grada 1999.
Novák, V. Základy fuzzy modelování. BEN - Technická literatura, 2002. ISBN: 80-7300-009-1
Zvárová, J. Biomedicínská informatika I. Karolinum, Praha, 2002. ISBN: 80-246-0609-7
Zvárová, J. Biomedicínská statistika I. Karolinum, Praha, 2007. ISBN: 978-80-7184-786-1
Recommended reading
Not applicable.
Classification of course in study plans
Type of course unit
Lecture
26 hod., optionally
Teacher / Lecturer
Syllabus
Introduction to medical informatics, data and standards in medical informatics, specific specific interaction man-computer in healtcare
Data in medicine, types of data, approaches of their processing, ethics, medical databases, telecommunication, networks and medical data transfer
Patient data, patient record, coding and classification of patient data, data confidency and protection
Biosignals and images, medical diagnostic and imiganing systems as data sources, representation of signals and images
Analysis of signals and images, iterpretation, specific noise suppression, time-frequency anaysis and characterization
Medical information systems, structure and types of MIS, reliability, modeling of healthcare for MIS design
Hospital information systems, sources and types of medical data, HIS conception, data security and protection
Computer-aided medical diagnostics, methods, acquisition and representation of medical knowledge, clinical diagnostics systems
Modeling in diagnostics, modeling of data source
Methodology of information processing, biostatistics, expert systems and other artifficial intelligence systems
Modelling of biosystems, basic models in biologiy and epidemiology, tools of prediction in medicine
Simulation and planning in therapy, modelling, robots
Telemedicine as a medical-information discipline, integration and data transfer, remote diagnostics and therapy
Data in medicine, types of data, approaches of their processing, ethics, medical databases, telecommunication, networks and medical data transfer
Patient data, patient record, coding and classification of patient data, data confidency and protection
Biosignals and images, medical diagnostic and imiganing systems as data sources, representation of signals and images
Analysis of signals and images, iterpretation, specific noise suppression, time-frequency anaysis and characterization
Medical information systems, structure and types of MIS, reliability, modeling of healthcare for MIS design
Hospital information systems, sources and types of medical data, HIS conception, data security and protection
Computer-aided medical diagnostics, methods, acquisition and representation of medical knowledge, clinical diagnostics systems
Modeling in diagnostics, modeling of data source
Methodology of information processing, biostatistics, expert systems and other artifficial intelligence systems
Modelling of biosystems, basic models in biologiy and epidemiology, tools of prediction in medicine
Simulation and planning in therapy, modelling, robots
Telemedicine as a medical-information discipline, integration and data transfer, remote diagnostics and therapy
Exercise in computer lab
26 hod., optionally
Teacher / Lecturer
Syllabus
Representation of biosignals and medical images
Suppression of specific noise in biological signals
Basic medical image processing methods
Biostatistical methods in medicine
Use of diagnostic expert systems
Basic models in biology and epidemiology
Introduction to medical information system CLINICOM
Terminal emulation and modules in MIS CLINICOM
Input of textual data to MIS CLINICOM
Data representation in MIS CLINICOM
Administration and access rights in MIS CLINICOM
Output from MIS CLINICOM
Project
Suppression of specific noise in biological signals
Basic medical image processing methods
Biostatistical methods in medicine
Use of diagnostic expert systems
Basic models in biology and epidemiology
Introduction to medical information system CLINICOM
Terminal emulation and modules in MIS CLINICOM
Input of textual data to MIS CLINICOM
Data representation in MIS CLINICOM
Administration and access rights in MIS CLINICOM
Output from MIS CLINICOM
Project