Context-aware for predicting gestational diabetes using rule – based system
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Published:2023-09-01
Issue:1
Volume:2580
Page:012040
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ISSN:1742-6588
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Container-title:Journal of Physics: Conference Series
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language:
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Short-container-title:J. Phys.: Conf. Ser.
Author:
Deeba K,Sathishkumar V E,Maheshwari V,Prasanna M,Sukumar R
Abstract
Abstract
Nanotechnology seems to be an important scientific method for the diagnosis of a disorder that offers more precise and appropriate health information. Diabetes mellitus (DM) is a chronic condition frequently seen that severely affects human health. Gestational diabetes happens during gestation or gestational time. Gestational diabetes may arise from normal physical changes in the body experiences of a pregnant woman.. The placenta develops substances during pregnancy that conflict with just the enzyme insulin’s behavior. The Principle objective of this paper is to predict gestational diabetes using the rule-based system by creating a user profile with AbA1c. This research can be applied to a broader range of healthcare diagnostics to get better accuracy in the prediction
Subject
Computer Science Applications,History,Education
Reference22 articles.
1. A Survey on Ambient Intelligence in Health Care;Acampora;Proc. IEEE. Inst. Electr. Electron. Eng.,2013
2. Unresolved controversies in gestational diabetes: Implications on maternal and infant health;Barbour;CurrOpinEndocrinol Diabetes Obes,2014
3. Evaluation of the prediabetic state during pregnancy;Carrington;Obstet Gynecol,1957
4. International Diabetes Federation,2013