{'fraction_non_alphanumeric': 0.0136986301369863, 'fraction_numerical': 0.0, 'mean_word_length': 5.358695652173913, '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 procedure for using peak expiratory flow rate data to increase the predictability of asthma episodes.

An examinaton was conducted of the relationship between Peak Expiratory Flow Rate (PEFR) measurements obtained in the homes of two boys with asthma and the predictability of asthma episodes. An approach was developed for assessing the predictive utility of PEFR data. Results indicated approximately three-fold increases in the predictability of asthma episodes for the two experimental subjects. Potential applications of these results to the management of asthma are discussed.