AIMC Topic: Search Engine
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Natural Language Processing-Assisted Literature Retrieval and Analysis for Combination Therapy in Cancer.
JCO clinical cancer informatics
Jan 1, 2022
PURPOSE: Despite advances in molecular therapeutics, few anticancer agents achieve durable responses. Rational combinations using two or more anticancer drugs have the potential to achieve a synergistic effect and overcome drug resistance, enhancing ...
Drowning in the literature? These smart software tools can help.
Nature
Sep 1, 2021
An evaluation of two commercial deep learning-based information retrieval systems for COVID-19 literature.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, leading to both corpora for COVID-19 literature and search engines to query such data. While most search engine research is performed in academia...
Research and Google Trend for Human Neuropsychiatric Disorders and Machine Learning: A Brief Report.
Psychiatria Danubina
Jan 1, 2021
OBJECTIVES: The key characteristics of this study are to highlight the research trend pertaining to the use of machine learning in the diagnosis and management of neuropsychiatric conditions.
Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning.
Journal of global health
Dec 1, 2020
BACKGROUND: Internet search engine data, such as Google Trends, was shown to be correlated with the incidence of COVID-19, but only in several countries. We aim to develop a model from a small number of countries to predict the epidemic alert level i...
Consumer health information and question answering: helping consumers find answers to their health-related information needs.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2020
OBJECTIVE: Consumers increasingly turn to the internet in search of health-related information; and they want their questions answered with short and precise passages, rather than needing to analyze lists of relevant documents returned by search engi...
Improving the accuracy of publicly available search engines in recognizing and classifying dental visual assets using convolutional neural networks.
International journal of computerized dentistry
Jan 1, 2020
AIM: To assess the accuracy of DigiBrain4, Inc (DB4) Dental Classifier and DB4 Smart Search Engine* in recognizing, categorizing, and classifying dental visual assets as compared with Google Search Engine, one of the largest publicly available search...
Unsupervised Phrase-Level Query Rewriting for Assisting Search in Clinical Free Text.
Studies in health technology and informatics
Aug 21, 2019
We report on the pilot evaluation of an experimental query-based search functionality that enables phrase-level query rewriting in an unsupervised way. It is intended for supporting search in clinical text. Qualitative evaluation is done by three cli...
Where to search top-K biomedical ontologies?
Briefings in bioinformatics
Jul 19, 2019
MOTIVATION: Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ontologies. Search engines that ...
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