{'fraction_non_alphanumeric': 0.014586709886547812, 'fraction_numerical': 0.0, 'mean_word_length': 5.242424242424242, '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 Web-Based Application for Innovative Hospital Appointment Scheduling Using Neural Network

In an attempt to improve the hospital appointment system and reduce patient waiting time, we developed an intelligent internet-based application for scheduling hospital appointments. A neural network is employed in order to dynamically define the time slots of each doctor's schedule. We present how we encoded the variables of our neural network and we describe the three stages we followed until we concluded in its most proper settings. Finally, we compare its results against the expected ones and prove its reliability.