{'fraction_non_alphanumeric': 0.026615969581749048, 'fraction_numerical': 0.0038022813688212928, 'mean_word_length': 4.895522388059701, '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}}
Data Science in Improving Emergency Medicine Care in Low Middle Income Countries - The Need of Time

Data science has received much boost and appreciation in the past few years. It is in discussion in the healthcare industry both in the developed and developing nations landscape. (1) Data science is defined as a concept to unify statistics, data analysis, machine learning, artificial intelligence, and their related methods in order to understand and analyze actual facts with the data. (2) It has got the potential of making better decisions in healthcare, starting from personalized treatments, acute and preventive care. (3) In the current essay, we aim to explore the areas where data science can be helpful to improve emergency care and its systems in low middle-income countries.