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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