{'fraction_non_alphanumeric': 0.01483679525222552, 'fraction_numerical': 0.004451038575667656, 'mean_word_length': 4.995555555555556, '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}}
Design and Implementation of an Emergency Pregnancy Referral System Using Rule-Based Expert System Forward Chaining Method

There are many diseases and disorders in pregnancy that can lead to an emergency pregnancy. Delays in recognizing and making a diagnosis, delays in making decisions and delays in making referrals are three causes of higher maternal and infant mortality' rates. Several problems with delays in the diagnosis and referral process have become very important discussions and solutions must be sought. Because good referral management is the key to reducing maternal and infant mortality. Likewise, establishing the right pregnancy diagnosis when it is not too late is one of the efforts to prevent pregnancy emergencies. This study aims to design and implement a rule-based expert system forward chaining method for emergency pregnancy referrals and to measure the level of system accuracy based on the results of validation tests. The input of this research is symptom data which is then processed using a rule-based expert system forward chaining and produces output information on the type of disease and the place of reference. The results of the validation test, the probability- value of the system accuracy is 78.4% and the system inaccuracy is 21.6% so that this reference application can be declared to be running well.