Generating better queries for systematic reviews

H Scells, G Zuccon - The 41st international ACM SIGIR conference on …, 2018‏ - dl.acm.org
Systematic reviews form the cornerstone of evidence based medicine, aiming to answer
complex medical questions based on all evidence currently available. Key to the …

Robust neural information retrieval: An adversarial and out-of-distribution perspective

YA Liu, R Zhang, J Guo, M de Rijke, Y Fan… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Recent advances in neural information retrieval (IR) models have significantly enhanced
their effectiveness over various IR tasks. The robustness of these models, essential for …

Modeling disease progression via multisource multitask learners: A case study with Alzheimer's disease

L Nie, L Zhang, L Meng, X Song… - IEEE transactions on …, 2016‏ - ieeexplore.ieee.org
Understanding the progression of chronic diseases can empower the sufferers in taking
proactive care. To predict the disease status in the future time points, various machine …

Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction

G Luo - Health information science and systems, 2016‏ - Springer
Background Predictive modeling is a key component of solutions to many healthcare
problems. Among all predictive modeling approaches, machine learning methods often …

Query understanding in the age of large language models

A Anand, A Anand, V Setty - arxiv preprint arxiv:2306.16004, 2023‏ - arxiv.org
Querying, conversing, and controlling search and information-seeking interfaces using
natural language are fast becoming ubiquitous with the rise and adoption of large-language …

Information retrieval: a view from the Chinese IR community

Z Chen, X Cheng, S Dong, Z Dou, J Guo… - Frontiers of Computer …, 2021‏ - Springer
During a two-day strategic workshop in February 2018, 22 information retrieval researchers
met to discuss the future challenges and opportunities within the field. The outcome is a list …

[HTML][HTML] Designing health websites based on users' web-based information-seeking behaviors: A mixed-method observational study

PCI Pang, S Chang, K Verspoor, J Pearce - Journal of medical Internet …, 2016‏ - jmir.org
Background Laypeople increasingly use the Internet as a source of health information, but
finding and discovering the right information remains problematic. These issues are partially …

A hierarchical attention retrieval model for healthcare question answering

M Zhu, A Ahuja, W Wei, CK Reddy - The World Wide Web Conference, 2019‏ - dl.acm.org
The growth of the Web in recent years has resulted in the development of various online
platforms that provide healthcare information services. These platforms contain an …

Contextualizing consumer health information searching: an analysis of questions in a social Q&A community

Y Zhang - Proceedings of the 1st ACM international health …, 2010‏ - dl.acm.org
The existing research on consumer health information searching has focused on types of
information that users need concerning a particular disease and their querying behavior in …

[HTML][HTML] Lexical ambiguity detection in professional discourse

Y Liu, A Medlar, D Głowacka - Information Processing & Management, 2022‏ - Elsevier
Professional discourse is the language used by specialists, such as lawyers, doctors and
academics, to communicate the knowledge and assumptions associated with their …