{'fraction_non_alphanumeric': 0.0110803324099723, 'fraction_numerical': 0.0, 'mean_word_length': 5.376470588235295, '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}}
Big Data and IoT-Allied Challenges Associated With Healthcare Applications in Smart and Automated Systems

Most of the current smart applications are developed with basis on intelligent computing, most of which are implemented using big data analytics and much other advanced technology. With emerging technology, industrial and instructive improvements are causing greater changes in the lifestyle of people in smart cities and there is more chance of various health problems in urban areas. The way of life in metro urban areas with an expansive volume of people is similarly influenced by different applications and administration frameworks. In this way, the majority of the urban communities are transforming into smart urban areas by receiving mechanized frameworks in every conceivable segment. Therefore, there is more health-related issues and health hazard issues can be identified in urban areas. This article carries out a comprehensive survey of health care issues and improved solutions in automated systems using Big Data Analytics in smart cities integrated with IoT.