{'fraction_non_alphanumeric': 0.007633587786259542, 'fraction_numerical': 0.0, 'mean_word_length': 5.402439024390244, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Biomedical Information Retrieval System based on Clustering for Mobile Devices

Information overload caused by the increasing availability of online texts and publications of interest is a problem that increases when such information is necessary for decision making, as in the biomedical field. It is in this domain where we present an information retrieval system for mobile devices. Traditional indexing and search processes are enriched with the feature of returning the results in clusters according to their content.