BPM 306: BASIC PRINCIPLES OF MEDICINE
| Institution | TVET |
| Course | DIPLOMA IN NURSING |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | stephen oyake rabilo |
| File Type | |
| Pages | 43 Pages |
| File Size | 1.02 MB |
| Views | 7076 |
| Downloads | 0 |
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Description
Basic concepts and principles of medicine; Medicine, Pathogenesis, Cardiomyopathy, intravenous, Osteoarthritis, Dysphasia, Dysphagia, Superior, Inferior, Superior, Medial, Lateral Proximal, Distal, Anterior, Ventral, Posterior, Dorsal, Supine, Prone, Lateral. Clinical Presentation of Diseases; Clinical Features, Diagnostic approach, Signs and Symptoms, Differential Diagnosis of common diseases in the community, Traditional disease presentation, Typical disease presentation, Provincial diagnosis of atypical disease presentations. Prevention and Management of common diseases; Population identification, Collaborative practice involvement, Multidisciplinary teams, Risk identification and matching of interventions to need, Patient self-management education behaviour modification, support groups, and primary
prevention; Human Pathology; Terminologies, Branches of pathology, cell division, causes of diseases, mechanism of disease process, cell adaption mechanism, cell injury and death.
Inflammatory process; Body response to injury, Inflammation, wound healing; Major Disease conditions related to specific body system and basic diagnostic tests; Cardiovascular and
circulatory system, Respiratory system, Male and Female reproductive system including those occurring during pregnancy, Urinary system, Gastrointestinal system, Endocrine system, Nervous system, Musculoskeletal system.
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LESSON 4: MEASURES OF DISPERSION
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The measures of central tendency are not sufficient measures to reveal the shape of the distribution of data set. The measures that show the spread of a data set are called the measures of dispersion. The main measures of dispersion are range, inter quartile range, standard deviation, variance and coefficient of variation. In this lesson we will discuss these measures of dispersion.
9 Pages
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LESSON 1: DEFINITION OF STATISTICS, DATA COLLECTION AND DATA PRESENTATION TECHNIQUES
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Statistics is the science of data. This involves collecting, classifying, summarizing,
organizing, analyzing, and interpreting numerical information.
7 Pages
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LESSON 2: MEASURES OF CENTRAL TENDENCY
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One of main objectives of statistical analysis is to obtain one single value that describes the characteristic of the entire mass of unwieldy data. Such a value is called the central value or average value. In this lesson we will consider some of central values which are commonly used.
8 Pages
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LESSON 3: MEASURES OF CENTRAL TENDENCY cont..
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In this lesson we will discuss the other measures of location or measures of central tendency namely, geometric mean, harmonic mean, median and mode of given data.
10 Pages
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THEORIES OF LANGUAGE ACQUISITION
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Over the last fifty years, several theories have been put forward to explain the process by which children learn to understand and speak a language. They can be summarised as follows:
4 Pages
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SZL 105: LABORATORY METHODS AND TECHNIQUES IN ZOOLOGY
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A laboratory is a closed or isolated environment where scientific experiments and procedures are carried out. Laboratory studies are applied in all areas of science namely. Physics, chemistry,biology, agriculture, health, environment, geology, mining among others.
31 Pages
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681.05 KB
SST 305: Theory of Estimation Notes
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The objective of statistics is to make an inference about a population based on information contained in a sample. Most statistical inference procedures involve either estimation or hypothesis testing. This course looks at estimation.
41 Pages
6447 Views
6 Downloads
3.41 MB
SMA 335: Ordinary Differential Equation 1
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The subject of differential equations constitutes a very important and useful branch of
modern m mathematics. In this lesson we sh all consider some definition of ordinary
differential equations.
156 Pages
7356 Views
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2.32 MB
LESSON 7: REGRESSION AND CORRELATION ANALYSIS
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In this lesson we will discuss regression and correlation. Correlation analysis deals with the association between two or more variables; while regression analysis attempts to establish the nature of the relationship between variables.
11 Pages
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271.03 KB
LESSON 6: SKEWNESS AND KURTOSIS
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Skewness refers to lack of symmetry. A skewed distribution is a frequency distribution that is asymmetric (not symmetric). When the longer tail of a distribution extends to the right, it is said to be skewed to the right and when the longer tail of a distribution extends to the left, it said to be skewed to the left.
9 Pages
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