MATHEMATICS APPLIED

TO BIOLOGICAL

SCIENCES Ph.D. Ing. Ileana Brudiu

OUTLINE

• PRESENTATION

• UNIVERSITY POLICY

• ABOUT EXAM - EXAM POLICY

• SUBJECTS AND SCHEDULES

• MEDICAL INFORMATICS & STATISTICS

PRESENTATION

• Course: 2 hour / week

• Practical activities: 2 hours/week

• When: 2end semester

• Exam: summer session

• Contact: brudiu@yahoo.com

• Online cours: http://ileana.brudiu.ro

PRESENTATION

• Course: Tuesday 8-10

• Practical activities:

• Friday: 8-10 and 10-12

• Materials:

• Courses presentations

• Practical activities: practical topics

ABOUT EXAM - EXAM POLICY

• Portfolio of Laboratory (30%)

• Theoretical exam (test grid) (30%): - Multiple choice questions (Five possible response (A, B, C, D, E));

- Number of questions: 30

- To pass an exam: 15 points out of 30

• Practical exam (30%): - Statistical problems solved with Microsoft Excel

• Interest for discipline 10%

GENERAL GOALS

• To help students to gain basic information about information

technologies with applications in veterinary medicine

• Basic methods of statistics in veterinary medicine and

practice

MATHEMATICS AND BIOLOGY

Using the most advanced form of mathematics in biology:

• mathematical modeling of biological processes

• study patterns using methods of mathematics

:

mathematical biology

To build and validate mathematical models

are used statistical research

Applications of mathematics in biology

• The absolute risk of contracting lung cancer is a smoker:

200/10000 = 20/1000 = 0.02 = 2% = 20 ‰.

• The absolute risk of contracting lung cancer is a smoker:

20/20000 = 1/1000 = 0.001 = 1 ‰.

• The report called relative risk of contracting lung cancer of

smokers (against smoking) is:? X = 0.02 / 0.001 = 20?

What interpretation we can say that smokers have a risk 20

times higher than non-smokers to lung cancer.

Risk is the chance that an event

takes place

The odds are expressed as a

percentage probabilities

Have values between 0% and 100%

The relative risk is a measure of

the relationship between the

disease and the presence of a

risk factor, assumed to

influence the development of

disease.

What are you studying to this discipline?

• The computer's usage

• Biostatistics

(Applied Statistics in Biology)

Targets

Theoretical knowledge Practical knowledge

1. SOFTWARE applications

for the medical office

equipment.

2. Elements of Mathematical

Statistics

3. BIOSTATISTCĂ - the

science of applying

statistical methods in

biology

1. Using applications

Word, Excel and

PowerPoint

2. Statistical calculations

applied in medicine

3. Statistical analysis of

medical data

SKILLS - What students know to do?

WORD EXCEL

• Inserting, editing and

formatting text.

• Creating a complex

document.

• Entering information into the

spreadsheet

• Entering formulas in the

spreadsheet

• building graphics

• using functions

PowerPoint

Using PowerPoint tools for achieving attractive presentations

SKILLS - What students know to do?

STATISTICS

Data collection and establishment of evidence table

Making frequency distributions

Graphic representation of the frequency distribution

The calculation of frequencies (absolute, relative,

cumulative, etc.)

Calculation of statistical parameters

Calculating the confidence interval

Applying statistical tests and interpreting the results

statistical correlation

Bibliography Ileana Brudiu - Biostatistică în abordarea practică, editura Eurobit, Timișoara, 2010

Ileana Brudiu – Utilizarea calculatorului - Îndrumător de lucrări de laborator, Editura Eurobit,

Timişoara, 2009.

Ileana Brudiu – Utilizarea calculatorului - Lucrări practice, Editura Eurobit, Timişoara, 2011.

Ileana Brudiu – Biostatistică și Utilizarea calculatorului - Lucrări practice, Editura Eurobit,

Timişoara, 2012.

http://info.umfcluj.ro - Informatică medical și biostatistică

http://www. http://stattrek.com - Stat Trek Teach yourself statistics

http://www.umftgm.ro Marius Mărușteri Noțiuni fundamentale de biostatistică

Jaba, Elisabeta, Pintilescu Carmen – Statistica teste grilă şi probleme, Ed. Sedcom Libris, ed. 2-a

rev. Iaşi, 2007

Miroslav Kaps,W. Lamberson, Biostatistics for Animal Science: An Introductory Text,

http://books.google.ro , 2004

Stetoscop, Revistă de informare pentru medici, ISSN 1582-9995, Editura ANTAEUS

http://stattrek.com

http://www.emathzone.com

http://onlinestatbook.com

• Health informatics, Health care informatics or medical

informatics is the intersection of information science,

computer science, and health care.

• Deals with the resources, devices, and methods

required to optimize the acquisition, storage, retrieval,

and use of information in health and biomedicine.

• Health informatics tools:

Computers

Clinical guidelines

Formal medical terminologies

Information and communication systems.

Medical Informatics

Medical Informatics

• Information science: interdisciplinary science

primarily concerned with the analysis, collection,

classification, manipulation, storage, retrieval and

dissemination of information.

• Computer science: study of the theoretical

foundations of information and computation, and

of practical techniques for their implementation

and application in computer systems.

Medical Informatics

• Health care: refers to the treatment and

management of illness, and the preservation of

health through services offered by the medical,

dental, complementary and alternative medicine,

pharmaceutical, clinical laboratory sciences (in

vitro diagnostics), nursing, and allied health

professions. Health care embraces all the goods

and services designed to promote health,

including “preventive, curative and palliative

interventions, whether directed to individuals or to

populations”

Medical Informatics

• Electronic medical records

• Health information systems used for billing, scheduling, and

research

• Decision support systems

• Standards (e.g. DICOM, HL7) - to facilitate the exchange of

information between healthcare information systems

• Controlled medical vocabularies (CMVs):

oSystematized Nomenclature of Medicine

oClinical Terms (SNOMED CT)

oMEDCIN

oLogical Observation Identifiers Names and Codes (LOINC)

oMeSH

The main branches of medical informatics are:

1. Assisting medical investigations

2. Medical Data Management

3. Medical Signal Processing

4. Medical Image Processing

5. Management of medical analysis laboratories

6. Medical decision making (computer-aided diagnosis,

medical expert systems)

7. Assisting medical management

8. Assisting medical research

9. Assisting medical education and training

OBJECTIVES OF MEDICAL INFORMATICS

Commonly used with a meaning equivalent terms:

"Data transmission and processing"

"Transmission and processing of information“

NOT THE SAME !!!!

We must distinguish between "data" and "information"

Data, information, knowledge

INFORMATION - primary-concept

A formulation having a communication function, which

make someone aware of a situation

INFORMATION - general-purpose

A formulation capable of making a "knowledge"

The concept of information

"Data" are representations (coding) of information

by means of symbols or signs (eg, numerical or

alphanumeric codes) on a platform or medium on

which they may be stored

Data

Source of medical information:

1. Information relating to the patient

2. Information on medical science

3. Information about the health care system

Medical Information

Patient Information:

• identification

• socio-professional

• eredocolaterale history

• moments of medical events

• the onset of disease

• consultations, medical procedures

• diagnoses

• signs, symptoms

• biological parameters

• investigations

• ECG, EEG, X-rays, etc.

• treatments

Medical Information

Information on medical science

• Disease symptoms

• Treatments

• Medications

• Medical Terminology and classification

• International Classification of Diseases

• Systematic classification of pathologies

Medical Information

Information about the health care system - management medical-

Health network

• structure

• units and medical services

Resources needed:

• Financial, material (equipment, medicines, etc.)

• Medical auxiliaries

Data on the health of the population

• health Statistics

• epidemiological data

• Data on the environment and nutrition

Medical Information

Information can be presented in different ways:

• Case report forms

• Analysis report

• Recordings made with various devices

(measuring, graphic, EKG, EEG. Etc.)

• Medical images (X-rays, ultrasound images).

Medical Information

• Numeric (blood pressure, temperature, concentration of

hemoglobin in the blood)

• Quantitative data or logical (sick / healthy, yes / no, etc.)

• Text (literal) (diagnosis, description of a symptom,

therapeutic indications, etc.)

Representation of medical data

• Form of dates or times

date and time of the start and end of surgery,

date of admission of a patient, etc.

• The charts

• The symbols have a meaning

• sound

• image

• video

Representation of medical data