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Table 4 Types of features

From: Combination of conditional random field with a rule based method in the extraction of PICO elements

Semantic features

f1

Number of words in the sentence that are in the age, race or gender keywords list

f2

Number of words belonging to the UMLS semantic group «Disorders»

f3

Number of words belonging to the UMLS semantic group «Procedures» or «Chemicals & Drugs»

f4

Number of words that are in the Outcome keywords list

Structural features

f5

Number of words of the sentence that are in the title

f6

Number of words of the sentence that are in the abstract’s « keywords »

f7

Sentence header

f8

Sentence length (number of words)

f9

Sentence relative position

Lexical feature

f10

The current word and its POS belongs to the bag-of-words