medline.Cognition

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Searching: MEDLINE Abstracts. Details

MEDLINE (Medical Literature Analysis and Retrieval System Online) Abstracts contains abstracts for life sciences and biomedical information from an international literature database. It covers the fields of medicine, nursing, pharmacy, dentistry, veterinary medicine, and health care, as well as fields with no direct medical connection, such as molecular evolution.

17530764 files, updated on 7/15/2008.

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For Cognition to better understand you, enter a phrase with proper capitalization.

Sample Queries

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  • (info)

    CognitionSearch defaults to requiring a match of all search terms in one sentence, or in the document title and a sentence. If you check "Find search concepts anywhere in the document" CognitionSearch will return documents with the query concepts anywhere in the document.

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  • (info)

    Ordinarily when no results are found with all the search terms, CognitionSearch lists sets of query terms that WERE all found, and the user selects a desired set to view. If you check "Print results in which subsets of search terms are found", CognitionSearch prints the results for all the sets of query terms that were found. For example, if your query is "ruptured tendon Venus", ordinarily CognitionSearch would give you the option of selecting from these sets:

    • rupture tendon
    • Venus tendon
    • Venus rupture

    If you check,"Print results in which subsets of search terms are found", CognitionSearch prints the results for all three of these sets.

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  • (info)

    Ordinarily when no results are found with all the search terms, CognitionSearch lists sets of query terms that WERE all found, and the user selects a desired set to view. If you check "Print results in which any search terms are found", CognitionSearch prints the results for all the subsets of query terms that were found, and all of the single terms that were found. For example, if your query is "ruptured tendon Venus", ordinarily CognitionSearch would give you the option of selecting from these sets:

    • rupture tendon
    • Venus tendon
    • Venus rupture

    If you check,"Print results in which any search terms are found", CognitionSearch prints the results for all three of these sets, and the single terms as well:

    • rupture tendon
    • Venus tendon
    • Venus rupture
    • tendon
    • rupture
    • Venue

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  • (info)

    Ordinarily when no results are found with all the search terms, CognitionSearch lists sets of query terms that WERE all found, and the user selects a desired set to view. If you check "Require all search terms to match", if no document contains all the search terms in a sentence or in a sentence and the title, no results are displayed.

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  • (info)

    Ordinarily CognitionSearch promotes exact matches to the top of the list of retrievals. If you check "Ignore exact matches in sorting", exact matching is ignored in sorting, and sorting is by the percentage of the document covered in the highlighted retrieval region, plus the number of times the query terms occur throughout the document.

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  • (info)

    Ordinarily CognitionSearch sorts by exact matching, quantity of material highlighted, etc. If you check "Sort by date", it sorts the retrievals, by recency of the document date, rather than the default, which is by exact matches to query terms, percentage of the document covered in the highlighted retrieval region, and the number of times the query terms occur throughout the document.

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How it Works

CognitionSearch™ will attempt to retrieve on all of the concepts it finds in your search sentence. It is best to avoid unnecessary concepts. Ineffectual queries result from using preambles or providing too much background information to CognitionSearch. Search sentences that combine concepts or phrases with lowercase "and" or "or" will usually only get retrievals if both concepts or phrases are in the same sentence. If you don't get any results try two separate searches or use Boolean operators (see below).

To search the database, type an ordinary English sentence. For best results:

Use grammatical English.

Use proper capitalization and capitalize acronyms.

  • U.S., not u.s. or us
  • Mary Smith, not MARY SMITH or mary smith.
  • Tell me about the General Services Administration? not Tell me about the general services administration?
  • Capitalized phrases are understood as technical terms by CognitionSearch. For example, World Financial Center is taken to be a name to be found in exactly the same form in the text. If you want to find any texts with the concepts "world," "financial," and "center" near each other, use lower case.

CognitionSearch cannot find information if it is not in the files being searched. Search sentences about topics not covered in the database provided here will probably get the reply "CognitionSearch has no information on your query."

CognitionSearch is an information retrieval system, not a question-answering system. CognitionSearch does not have the ability to make calculations or extrapolations about the text. If the search sentence asks "What constitutes failure of fiduciary duty?", CognitionSearch will not answer the question directly, but will show sections of the text about failure of fiduciary duty. If the search sentence asks "How long is the statute of limitations for a breach of contract?" CognitionSearch will retrieve information about time periods dealing with a statute of limitations and a breach of contract, if there is any such information in the text. Similarly, evaluative questions such as "What is the best defense for fraud?" will only retrieve information if the text contains explicit statements about the best fraud defenses. If searches like those above fail to produce any hits, try rephrasing them by simply stating the topic of the search, e.g., "Tell me about fraud defenses." or "failure of fiduciary duty."

Boolean Search

CognitionSearch includes a Boolean search capability which allows users to combine English phrases or sentences with Boolean connectives to further refine a search. Seven Boolean connectives are supported, as follows (note: in the following table, Q1 and Q2 each represents a full concept query phrase):

Boolean Search Results
Q1 AND Q2 Documents in which Q1 and Q2 both matched.
Q1 OR Q2 Documents in which either Q1 or Q2 matched.
Q1 WITH Q2 Documents in which Q1 and Q2 occur in the same sentence.
Q1 WITHIN 20 Q2 Documents in which Q1 occurred within 20 words of Q2
Q1 AND NOT Q2 Documents which matched Q1 but did not match Q2
Q1 NOT WITH Q2 Documents which matched Q1 and no sentence that matched Q1 also matched Q2
Q1 NOT WITHIN 25 Q2 Documents which matched Q1 and where Q2 was not matched within 25 words of any place where Q1 matched

(NOTE: The difference between a search using the WITH connective and a search using no Boolean connectives lies in how the search concepts are determined. In a search having the WITH connective, each subquery is interpreted independently of the other subquery. When no connectives are present, all of the words in the query provide context for determining the meaning of the other words.)

These connectives can be nested with parentheses to form full Boolean expressions.

The WITHIN connective is actually fairly flexible. By default it is expressed in terms of word positions, but it can be expressed in terms of sentences as well, and it can be abbreviated or expanded in various ways. For example:

W/IN20 within 20 words
W/IN5W within 5 words
W/IN2S within 2 sentences
WITHIN 20 SENTENCES OF within 20 sentences of...
WITHIN 20 WORDS OF within 20 words of
WITHIN 20 WORDS within 20 words of
WITHIN 20 SENTENCES within 20 sentences of

Note that all the letters in the connective must be capitalized and there may not be more than one space character separating the words.

These connectives can be nested with parentheses to form full Boolean expressions.

Quoted Search

If part of a query is quoted, the engine will only report exact matches for the quoted part of the query. In other words, it will not show documents where a search term from the quoted part of the query was matched against a term with a similar meaning. For example, the query

tree frog

might retrieve documents that refer to specific types of tree frogs, whereas

"tree" frog

would only return documents that actually have the word "tree" in them (although since "frog" is not in quotes, the documents might not have the literal word "frog" in them). Note, however, that quoted terms are disambiguated. In other words, in the above example, "tree" would only retrieve exact matches that refer to the type of plant and would not retrieve instances of the string that refer to abstract representations such as a family tree. If you wish to perform a string search (in which terms are not disambiguated), see the Pattern Search section below, or use single quotes, as in

'tree' frog

which will return any documents that contain the string "tree," regardless of its meaning (still providing that it's in the same sentence as the concept "frog"). Note that, unlike in pattern search below, you may include more than one word inside the quotation marks, although this does not imply a requirement that the words be adjacent in the document base.

All-Senses Quoting

The above quote types (single- and double-quoting) result in exact matches, but there are other types that don't. For example, you could search for

worker {strike}

and normally in that context you would only get references to work stoppages, but with the curly-bracket quotes, you would retrieve to every meaning of "strike", not just the work stoppage one. Not only that, it would retrieve to every synonym of every one of those meanings.

Multi-word Quoting

If you quote a group of more than one word, as in, for example

"tree frog"

the query will only match the words inside the quotes if they are next to each other and in the order given, so the above would not match "frog tree" or "trees with leaves that are green like a frog". If you want to match a set of words in a particular order in this way, but do not want to require an exact match, you can use square-bracket quotes:

[red flower]

The above will match "scarlet carnation" and "rufous rose", but not "flowers that look red".

Pattern Search

Pattern terms are not matched against indexed concepts, but rather against the (stemmed) strings stored in the index for each document in a project. For example, the pattern term

/dog/

would match any instance of the exact string "dog" in a document.

There are a number of different pattern types. The following sections will lay out each type, with examples.

The Raw Text Pattern

Patterns like

/dog/

which start with a forward slash, continue with a word, and end with a forward slash, match the given word exactly. If the pattern were

/dOg/

it would match that exact spelling and capitalization pattern, i.e. "dOg", but not "dog". Note, however, that the strings in the index are stemmed, so the pattern /swims/ would be unlikely to match anything, whereas /swim/ would

The Case-Insensitive Flag

Starting from the raw-text pattern, one may add flags to create different behavior. One such flag is "i," the case-insensitive flag. Adding this flag indicates that the pattern should match the word given, regardless of case differences. Thus

/dog/i

would match “dog,” “dOg,” “DOG,” “Dog,” etc.

Wildcard Search

It is possible also to search using the wildcards "*" and "?." The wildcard "*" indicates an indefinite length of unspecified characters, whereas "?" indicates one specified character. A wildcard search pattern must be between angle brackets rather than slant brackets. For example,

<d*g>

will match any word that begins with “d” and ends with “g,” whereas

<d?g>

will match any three-letter word that begins with "d" and ends with "g." When searching for names like "Liebowitz," one might use the wildcard pattern

<L*bowi?z>

and thus get "Liebowitz," "Leibowitz," "Liebowicz," etc.

Case-Insensitive Wildcard Search

The "i" flag (currently no others) may be added to a wildcard search pattern to make it case-insensitive. Thus

<d?g>

will match "dog" and "dig," but not much else, whereas

<d?g>i

will also match “Dog,” “Dig,” etc.

Multi-word patterns

Just as you can quote a group of words, as in "tree frog" and require them to appear next to each other in a particular order, you can also place multiple words inside a pattern match and require the same. Thus,

/red flower/

matches exactly the words "red" and "flower", together and in that order. It would not match "flower red" or "the red walls of his house were covered with flowers.", although the query

/red/ /flower/

would match them.

Required and Optional Terms

One may mark a term or pattern as especially significant by preceding it with a plus sign (+). In this case no results will be returned that do not contain the marked term. For example, in the query

tree frogs of Asia

it might be the case that no documents match all three search terms, but some documents match tree+Asia and some match frog+Asia. Normally, in that case the search engine will offer the choice of those two breakdowns. However, if the query had been

tree +frogs of Asia

only the frog+Asia results would have been returned. In a quoted query, the plus sign goes inside the quotes:

"red +rose"

Similarly, one may mark a term or pattern as optional by preceding it with a minus sign (-). In this case no document will be disqualified on the basis of not containing the optional term, although the optional term will affect sense selection and documents containing the term will be preferred in sorting over documents not containing it. For example, in the query

strike a -match

the word "match" will indicate that the desired meaning of "strike" is the one associated with striking a match, but documents returned do not necessarily need to actually contain the word "match."