{'fraction_non_alphanumeric': 0.021081576535288724, 'fraction_numerical': 0.0, 'mean_word_length': 5.461538461538462, '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}}
ParkNosis: Diagnosing Parkinson's disease using mobile phones

This paper aims to provide a Parkinson's Disease (PD) symptoms assessment tool using an Android smartphone application that allows PD patients to assess their symptoms using both quantitative and qualitative tests. Simple touch screen and motion tests focus on objectively measuring PD symptoms, whereas a questionnaire targets the subjective ones. The concatenation of the collected results will allow the application to accurately target several PD symptoms without visual or traditional assessment. Physicians, hospitals, and clinics will then be able to receive this data over the network for further assessment, analysis, and research. This enables the self-monitoring of patients, as well as remote monitoring from physicians in clinics and hospitals. In addition to this, this application aims to expand PD research and provide improvements to the current treatment process. Ultimately, the aim is to enable thousands of people, anywhere and at any time, to easily diagnose and assess the PD before visiting a specialist.