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Chapeter 4
Key Concepts on Medical
Information Retrieval
Searching /Retrieval using :
Literature can be retrieval by using :
 Keywords Searching
 Boolean search
 Proximity searching
 Citation searching
Keywords searching
• Keywords are major and important words
or concepts extracted from your topic
(subject of research)
•They are unique and related to the field
being investigated.
 Do not forget that you are dealing with a
computer, not a human being!
 SO ,no need write a full sentence, just
words (including synonyms) unique to
your topic
 Example : Peptic Ulcer, Rheumatic
Arthritis, Spinal Anesthesia,
Key word finding
Open fractures of the tibial diaphysis are often associated with se-vere bone and soft-tissue
injury. Contamination of the fracture site and devitalization of the soft-tissue envelope
greatly increase the risk of infection, nonunion, and wound complications. Management of
open tibial shaft fractures begins with a thorough patient evaluation, including assessment
of the bone and soft tissue surrounding
the tibial injury. Classification of these injuries according to the sys-tem of Gustilo and
Anderson at the time of surgical debridement is useful in guiding treatment and predicting
outcomes. Administration of antibiotic prophylaxis as soon as possible after injury as well
as urgent and thorough debridement, irrigation, and bony stabilization are done to
minimize the risk of infection and improve outcomes.
The use of antibiotic bead pouches and negative-pressure wound therapy has proved to be
efficacious for the acute, temporary management of severe bone and soft-tissue defects.
Open Tibial Shaft Fractures: I. Evaluation and Initial Wound Management
Find out the Possible Keywords?
 Open Tibial Shaft Fractures
 Wound Management
 the tibial diaphysis
 Infection
 Gustilo and Anderson classification
 antibiotic prophylaxis
 antibiotic bead pouches
 surgical debridement
 bony stabilization
 Irrigation
 negative-pressure wound
 Therapy
 soft-tissue defects.
Possible Keywords
 Persistent fever
 antipyretics
 Immunizations
 febrile children
basis of infromation retrival part 2
Boolean Search
a Boolean is logical possible
values.
Genreally : true or false. Or
combination
 In computer operation, Boolean
logic can be used as (1 or true) or
not charged (0 or false).
 The computer can use an AND or OR gate
operation to obtain a result that can be used
for further processing.
 The following table shows the results from
applying AND and OR operations to two
compared states:
0 AND 0 = 0 1 AND 0 = 0 1 AND 1 = 1
0 OR 0 = 0 0 OR 1 = 1 1 OR 1 = 1
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
Boolean uses
 Boolean algebra, a logical calculus of
truth values or set membership
 Boolean algebra (structure), a set with
operations resembling logical ones
 Boolean circuit, a mathematical model
for digital logical circuits
 Boolean expression, an expression in a programming
language that produces a Boolean value when evaluated
 Boolean function, a function that determines Boolean values
or operators
 Boolean model (probability theory), a model in stochastic
geometry
 Boolean module, a field pioneered by Chris Brink over
relation algebras
 Boolean network, a certain network consisting of a set of
Boolean variables whose state is determined by other
variables in the network
 Boolean processor,
Boolean Search
 logical search system developed by the English
mathematician and computer pioneer, George
Boole .
 A Boolean Search is a computerized search using
“ AND, OR,NOT called as Boolean operators
 They are words by which search terms (keywords)
are combined
Why Boolean Search?
 Search smarter
 to limit, widen, or define your search
 Most Internet search engines and Web
directories default to these Boolean
search parameters anyway
basis of infromation retrival part 2
Boolean Operators
 Simple commands that tell search
engines to search
 It include or exclude the search criteria
 Also called as logical operators
 By convention, Boolean terms are usually
typed in all capital Letters
 Most widely used Standard Boolean Operators in
searching are
 Simple boolean
 AND Operator
 OR Operator
 NOT Operator
 NEAR Operator
 We can use their math equivalents.
AND Operator
 Math equivalent = Addition “+”
 narrows a search by combining terms
 AND" operator between two words or
searching for documents containing both of
the words or values, not just one of them.
overlapping area indicates terms retrieved
 This is expressed as 'blue AND yellow' in a
search.
When using AND in this search expression,
results retrieved will contain both blue and
yellow information.
 The results will not include those documents
containing only blue or only yellow
information.
 In the diagram the documents retrieved by
using this search expression are contained
within the green area.
EXAMPLE
 art AND schools
This will retrieve all records containing both
keywords art and schools.
 "pear AND apple“ search will include all the
documents including both pear and apple as key
words

OR Operator
 Widens the search area
 an “OR" operator between two keyword as
same as in AND
 at least one of the terms joined by it to appear
somewhere in the document, in any order.
 operator is generally used to join similar,
equivalent, or
 synonymous concepts.
 This is expressed as 'blue OR yellow' in a
search.
 When using OR in this search expression,
results retrieved will contain either blue
information, or yellow information, or blue
and yellow information together.
 Such a search will not merely retrieve
documents containing only blue information
or only yellow information.
 In the diagram the documents retrieved by
using this search expression are contained
within all the colour areas.
EXAMPLEs
 ceramics OR pottery
This will retrieve all records containing the keywords
ceramics or pottery, as well as those containing
both.(ceramics & pottery)
 "pear OR apple"
 means one is searching for documents containing
either of the words. And both pear & apple
NOT Operator
 Maths equivalentsubstraction
 The search term must NOT be in any records
retrieved
 Use to exclude all records containing a search
term
 Narrow search
 This is expressed as 'blue NOT yellow' in a
search.
 When using NOT in this search expression, results
will contain only blue.
 The NOT operator will exclude yellow completely
and thus any green information will be excluded
also.
 It is important, therefore, to be careful when using
this operaor in order to avoid hindering your
search. In this diagram the documents retrieved by
using this search expression are contained within
the blue area.
EXAMPLE
 film NOT photography
This will retrieve all records containing the keyword film
but not the keyword photography.
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
Parentheses use
 can also be used when conducting an
advanced search.
 Narrow or broaden search
 ( )Group words or phrases when combining
Boolean phrases and to show the order in
which relationships should be considered:
examples
 (mouse or mice) and (gene or pseudogene)
 art AND (school OR college)
this expresses a search for records containing
information about art schools or colleges.
Proximity operators
 Proximity operators allow you to locate one word within a
certain distance of another.
 The symbols generally used in this type of search are w
and n. and
 The w represents the word "with(in)"and the n represents
the word "near.“
 This type of search is not available in all databases
operators
 no Operator (keyword)
 With in operator
 NEAR operator
No operators
 Find words as a phrase,
 e.g., life stage transitions
 It retrieves records containing the three
words immediately adjacent to one
another and in the same order.
Quotation marks
 “ ”
 Requires words to searched as a phrase,
in the exact order you type them.
 “working mothers”
 ”affirmative action”
basis of infromation retrival part 2
NEAR Operator (Nx)
 words within x number of words from each
other, regardless of the order in which
they occur。
 Find words within a specified radius,
Example:
 carbon within 3 fiber
 retrieves records that contain carbon and
fiber in any order and within a three word
radius of one other.
 Any number may be used to determine the
proximity radius.
television n2 violence
 would find "television violence" or "violence
on television," but not "television may be the
culprit in recent high school violence."
Within Operator (Wx)
 finds words within x number of words from
each other, in the order they are entered in
the search
 Example:
Franklin w2 Roosevelt would find Franklin
Roosevelt or Franklin Delano Roosevelt or Franklin
D. Roosevelt, but would not find Roosevelt
Franklin.
 NEAR
 Find words within 10 words of each other
 near is the same as within 10.
 e.g., (women near violence) retrieves
records that contain women and
violence in any order and within a 10
word radius of one other.
WILDCARDS SYMBOL SEARCH
Wildcard symbols can expand the scope of your search.
 Wildcards — a symbol used to represent any
character. Wildcards can usually be used at the end
of a word or within a word.
 The pound symbol (#) is used in many databases as a
wildcard. Y
 ou can use this symbol to search variant spellings of a
word.
 You can use more than one pound sign to stand in for
more than one character
 Each pound sign represents 0-1 characters.
 Example: wom#n retrieves woman or women
teen##### would retrieve teens and
teenager and teenagers
Plurals
 a symbol added to the end of a word to
instruct the database to search for plural
as well as singular forms of words. The
symbol used in many databases is a plus
(+).
 Example: drug+ retrieves drug or drugs
Truncation
 This expands a search term to include all
forms of a root word,
 The truncation mark is usually an “*”, an asterisk.
e.g.,
 patent* retrieves patent, patents, patentable,
patented, etc.
 adolescen* retrieves adolescent,
adolescents, or adolescence
Example
 “Teen*”will retrieve “teen”, “teens”,
“teenager”… and all data containg teen only
 It is compatible with all computerized search
(online or CD). Google and other search
engines recognize it.
Multi-character wildcard
 for finding alternative spellings.
 Use to indicate an unlimited number of
characters within a word,
 e.g., behavi*r retrieves behaviour or
behavior.
Single-character wildcard
 ?
 for finding alternative spellings.
 The ? represents a single character;
 two ?? represent two characters;
 three ??? represent three characters, and
so on.
 Used within or at the end of a word
 e.g.,
 wom?n finds woman as well as women,
and
 carbon fib?? finds carbon fiber or carbon
fibre.
Citation searching
 Search using the citation
 Mostly available in journal database
searching
 A “citation "is the way you tell your
readers that certain material in your work
came from another source.
It also gives your readers the information
necessary to find that source again,
including:
 information about the author
 the title of the work
 the name and location of the company
that published your copy of the source
 the date your copy was published
 the page numbers of the material you
are borrowing
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
basis of infromation retrival part 2
End .
Thank you

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basis of infromation retrival part 2

  • 1. Chapeter 4 Key Concepts on Medical Information Retrieval
  • 2. Searching /Retrieval using : Literature can be retrieval by using :  Keywords Searching  Boolean search  Proximity searching  Citation searching
  • 3. Keywords searching • Keywords are major and important words or concepts extracted from your topic (subject of research) •They are unique and related to the field being investigated.
  • 4.  Do not forget that you are dealing with a computer, not a human being!  SO ,no need write a full sentence, just words (including synonyms) unique to your topic  Example : Peptic Ulcer, Rheumatic Arthritis, Spinal Anesthesia,
  • 5. Key word finding Open fractures of the tibial diaphysis are often associated with se-vere bone and soft-tissue injury. Contamination of the fracture site and devitalization of the soft-tissue envelope greatly increase the risk of infection, nonunion, and wound complications. Management of open tibial shaft fractures begins with a thorough patient evaluation, including assessment of the bone and soft tissue surrounding the tibial injury. Classification of these injuries according to the sys-tem of Gustilo and Anderson at the time of surgical debridement is useful in guiding treatment and predicting outcomes. Administration of antibiotic prophylaxis as soon as possible after injury as well as urgent and thorough debridement, irrigation, and bony stabilization are done to minimize the risk of infection and improve outcomes. The use of antibiotic bead pouches and negative-pressure wound therapy has proved to be efficacious for the acute, temporary management of severe bone and soft-tissue defects. Open Tibial Shaft Fractures: I. Evaluation and Initial Wound Management
  • 6. Find out the Possible Keywords?  Open Tibial Shaft Fractures  Wound Management  the tibial diaphysis  Infection  Gustilo and Anderson classification  antibiotic prophylaxis  antibiotic bead pouches  surgical debridement  bony stabilization  Irrigation  negative-pressure wound  Therapy  soft-tissue defects.
  • 7. Possible Keywords  Persistent fever  antipyretics  Immunizations  febrile children
  • 9. Boolean Search a Boolean is logical possible values. Genreally : true or false. Or combination  In computer operation, Boolean logic can be used as (1 or true) or not charged (0 or false).
  • 10.  The computer can use an AND or OR gate operation to obtain a result that can be used for further processing.  The following table shows the results from applying AND and OR operations to two compared states: 0 AND 0 = 0 1 AND 0 = 0 1 AND 1 = 1 0 OR 0 = 0 0 OR 1 = 1 1 OR 1 = 1
  • 15. Boolean uses  Boolean algebra, a logical calculus of truth values or set membership  Boolean algebra (structure), a set with operations resembling logical ones  Boolean circuit, a mathematical model for digital logical circuits
  • 16.  Boolean expression, an expression in a programming language that produces a Boolean value when evaluated  Boolean function, a function that determines Boolean values or operators  Boolean model (probability theory), a model in stochastic geometry  Boolean module, a field pioneered by Chris Brink over relation algebras  Boolean network, a certain network consisting of a set of Boolean variables whose state is determined by other variables in the network  Boolean processor,
  • 17. Boolean Search  logical search system developed by the English mathematician and computer pioneer, George Boole .  A Boolean Search is a computerized search using “ AND, OR,NOT called as Boolean operators  They are words by which search terms (keywords) are combined
  • 18. Why Boolean Search?  Search smarter  to limit, widen, or define your search  Most Internet search engines and Web directories default to these Boolean search parameters anyway
  • 20. Boolean Operators  Simple commands that tell search engines to search  It include or exclude the search criteria  Also called as logical operators  By convention, Boolean terms are usually typed in all capital Letters
  • 21.  Most widely used Standard Boolean Operators in searching are  Simple boolean  AND Operator  OR Operator  NOT Operator  NEAR Operator  We can use their math equivalents.
  • 22. AND Operator  Math equivalent = Addition “+”  narrows a search by combining terms  AND" operator between two words or searching for documents containing both of the words or values, not just one of them.
  • 23. overlapping area indicates terms retrieved
  • 24.  This is expressed as 'blue AND yellow' in a search. When using AND in this search expression, results retrieved will contain both blue and yellow information.  The results will not include those documents containing only blue or only yellow information.  In the diagram the documents retrieved by using this search expression are contained within the green area.
  • 25. EXAMPLE  art AND schools This will retrieve all records containing both keywords art and schools.  "pear AND apple“ search will include all the documents including both pear and apple as key words 
  • 26. OR Operator  Widens the search area  an “OR" operator between two keyword as same as in AND  at least one of the terms joined by it to appear somewhere in the document, in any order.  operator is generally used to join similar, equivalent, or  synonymous concepts.
  • 27.  This is expressed as 'blue OR yellow' in a search.  When using OR in this search expression, results retrieved will contain either blue information, or yellow information, or blue and yellow information together.  Such a search will not merely retrieve documents containing only blue information or only yellow information.  In the diagram the documents retrieved by using this search expression are contained within all the colour areas.
  • 28. EXAMPLEs  ceramics OR pottery This will retrieve all records containing the keywords ceramics or pottery, as well as those containing both.(ceramics & pottery)  "pear OR apple"  means one is searching for documents containing either of the words. And both pear & apple
  • 29. NOT Operator  Maths equivalentsubstraction  The search term must NOT be in any records retrieved  Use to exclude all records containing a search term  Narrow search
  • 30.  This is expressed as 'blue NOT yellow' in a search.  When using NOT in this search expression, results will contain only blue.  The NOT operator will exclude yellow completely and thus any green information will be excluded also.  It is important, therefore, to be careful when using this operaor in order to avoid hindering your search. In this diagram the documents retrieved by using this search expression are contained within the blue area.
  • 31. EXAMPLE  film NOT photography This will retrieve all records containing the keyword film but not the keyword photography.
  • 35. Parentheses use  can also be used when conducting an advanced search.  Narrow or broaden search  ( )Group words or phrases when combining Boolean phrases and to show the order in which relationships should be considered:
  • 36. examples  (mouse or mice) and (gene or pseudogene)  art AND (school OR college) this expresses a search for records containing information about art schools or colleges.
  • 37. Proximity operators  Proximity operators allow you to locate one word within a certain distance of another.  The symbols generally used in this type of search are w and n. and  The w represents the word "with(in)"and the n represents the word "near.“  This type of search is not available in all databases
  • 38. operators  no Operator (keyword)  With in operator  NEAR operator
  • 39. No operators  Find words as a phrase,  e.g., life stage transitions  It retrieves records containing the three words immediately adjacent to one another and in the same order.
  • 40. Quotation marks  “ ”  Requires words to searched as a phrase, in the exact order you type them.  “working mothers”  ”affirmative action”
  • 42. NEAR Operator (Nx)  words within x number of words from each other, regardless of the order in which they occur。  Find words within a specified radius,
  • 43. Example:  carbon within 3 fiber  retrieves records that contain carbon and fiber in any order and within a three word radius of one other.  Any number may be used to determine the proximity radius. television n2 violence  would find "television violence" or "violence on television," but not "television may be the culprit in recent high school violence."
  • 44. Within Operator (Wx)  finds words within x number of words from each other, in the order they are entered in the search  Example: Franklin w2 Roosevelt would find Franklin Roosevelt or Franklin Delano Roosevelt or Franklin D. Roosevelt, but would not find Roosevelt Franklin.
  • 45.  NEAR  Find words within 10 words of each other  near is the same as within 10.  e.g., (women near violence) retrieves records that contain women and violence in any order and within a 10 word radius of one other.
  • 46. WILDCARDS SYMBOL SEARCH Wildcard symbols can expand the scope of your search.  Wildcards — a symbol used to represent any character. Wildcards can usually be used at the end of a word or within a word.  The pound symbol (#) is used in many databases as a wildcard. Y  ou can use this symbol to search variant spellings of a word.  You can use more than one pound sign to stand in for more than one character  Each pound sign represents 0-1 characters.  Example: wom#n retrieves woman or women teen##### would retrieve teens and teenager and teenagers
  • 47. Plurals  a symbol added to the end of a word to instruct the database to search for plural as well as singular forms of words. The symbol used in many databases is a plus (+).  Example: drug+ retrieves drug or drugs
  • 48. Truncation  This expands a search term to include all forms of a root word,  The truncation mark is usually an “*”, an asterisk. e.g.,  patent* retrieves patent, patents, patentable, patented, etc.  adolescen* retrieves adolescent, adolescents, or adolescence
  • 49. Example  “Teen*”will retrieve “teen”, “teens”, “teenager”… and all data containg teen only  It is compatible with all computerized search (online or CD). Google and other search engines recognize it.
  • 50. Multi-character wildcard  for finding alternative spellings.  Use to indicate an unlimited number of characters within a word,  e.g., behavi*r retrieves behaviour or behavior.
  • 51. Single-character wildcard  ?  for finding alternative spellings.  The ? represents a single character;  two ?? represent two characters;  three ??? represent three characters, and so on.  Used within or at the end of a word
  • 52.  e.g.,  wom?n finds woman as well as women, and  carbon fib?? finds carbon fiber or carbon fibre.
  • 53. Citation searching  Search using the citation  Mostly available in journal database searching  A “citation "is the way you tell your readers that certain material in your work came from another source.
  • 54. It also gives your readers the information necessary to find that source again, including:  information about the author  the title of the work  the name and location of the company that published your copy of the source  the date your copy was published  the page numbers of the material you are borrowing