  This paper presents a preliminary experimentation study using the CLEF 2017
eHealth Task 2 collection for evaluating the effectiveness of different
indexing methodologies of documents and query parsing techniques. Furthermore,
it is an attempt to advance and share the efforts of observing the
characteristics and helpfulness of various methodologies for indexing PubMed
documents and for different topic parsing techniques to produce queries. For
this purpose, my research includes experimentation with different document
indexing methodologies, by utilising existing tools, such as the Lucene4IR
(L4IR) information retrieval system, the Technology Assisted Reviews for
Empirical Medicine tool for parsing topics of the CLEF collection and the TREC
evaluation tool to appraise system's performance. The results showed that
including a greater number of fields to the PubMed indexer of L4IR is a
decisive factor for the retrieval effectiveness of L4IR.
