Concepts inModelling the Usefulness of Document Collections for Query Expansion in Patient Search

Query expansion

Query expansion (QE) is the process of reformulating a seed query to improve retrieval performance in information retrieval operations. In the context of web search engines, query expansion involves evaluating a user's input (what words were typed into the search query area, and sometimes other types of data) and expanding the search query to match additional documents.  more from Wikipedia

Patient

A patient is any recipient of health care services. The patient is most often ill or injured and in need of treatment by a physician, advanced practice registered nurse, veterinarian, or other health care provider. The word patient originally meant 'one who suffers'. This English noun comes from the Latin word patiens, the present participle of the deponent verb, patior, meaning 'I am suffering,' and akin to the Greek verb ¿¿¿¿¿¿¿ (= paskhein, to suffer) and its cognate noun ¿¿¿¿¿.  more from Wikipedia

Learning to rank

Learning to rank or machine-learned ranking (MLR) is a type of supervised or semi-supervised machine learning problem in which the goal is to automatically construct a ranking model from training data. Training data consists of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment (e.g. "relevant" or "not relevant") for each item. Ranking model's purpose is to rank, i.e.  more from Wikipedia

Text Retrieval Conference

The Text REtrieval Conference (TREC) is an on-going series of workshops focusing on a list of different information retrieval (IR) research areas, or tracks. It is co-sponsored by the National Institute of Standards and Technology (NIST) and the Intelligence Advanced Research Projects Activity (part of the office of the Director of National Intelligence), and began in 1992 as part of the TIPSTER Text program.  more from Wikipedia

Relevance (information retrieval)

In information science and information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user.  more from Wikipedia

Medical terminology

Medical terminology is a language for accurately describing the human body and associated components, conditions, processes and process in a science-based manner. Some examples are: R.I.C.E. , trapezius, and latissimus dorsi. It is to be used in the medical and nursing fields. This systematic approach to word building and term comprehension is based on the concept of: (1) word roots, (2) prefixes, and (3) suffixes.  more from Wikipedia

Text corpus

In linguistics, a corpus (plural corpora) or text corpus is a large and structured set of texts (now usually electronically stored and processed). They are used to do statistical analysis and hypothesis testing, checking occurrences or validating linguistic rules on a specific universe. A corpus may contain texts in a single language (monolingual corpus) or text data in multiple languages (multilingual corpus).  more from Wikipedia