{'fraction_non_alphanumeric': 0.016821345707656612, 'fraction_numerical': 0.0, 'mean_word_length': 5.818181818181818, '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}}
Secured cloud database health care mining analysis

Big data alludes to the instruments, procedures and methods permitting an association to make, control, and oversee extensive information sets and storerooms. These days numerous cloud administrations oblige clients to share their classified information like electronic wellbeing records for exploration investigation or information mining, this lead to security issues. The measure of information delivered inside of Health area has become very tremendous and investigation of this Big Data gives conceivably boundless potential outcomes for learning to be picked up. Big data presents challenges in terms of absolute volume and additional elements of velocity, variety, and variability. Each of these elements in turn increases the potential amount of personally identifiable information within a dataset, and when operating in concert, can magnify data privacy concerns. Most data today is not locally in structure position; for occasion, tweets and web journals are pitifully structure bits of content, while pictures and video are organized for capacity and presentation, however not for semantic substance and hunt: changing such substance into an organized organization for later examination is a noteworthy test. The digitalization of wellbeing records and pharmaceutical notes has made individual wellbeing information all the more promptly available to an extensive variety of clients including patients, specialists, analysts, analysts, and information researchers. In any case, expanded openness of very delicate heath records debilitates the protection and privacy of patients. The clinical database is by and large excess, fragmented, dubious and capricious.