An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.
Jia-Yi ShenJiebin ChenZequan ZhengJiabin ZhengZherui LiuJian SongSum Yi WongXiaoling WangMengqi HuangPo-Han FangBangsheng JiangWinghei TsangZonglin HeTaoran LiuBabatunde O AkinwunmiChi Chiu WangCasper J P ZhangJian HuangWai-Kit MingPublished in: Journal of medical Internet research (2020)
Our prospective and multicenter study is the first clinical study that supports the GDM diagnosis for pregnant women in resource-limited areas, using only fasting blood glucose value, patients' age, and a smartphone connected to the internet. Our study proved that SVM can achieve accurate diagnosis with less operation cost and higher efficacy. Our study (referred to as GDM-AI study, ie, the study of AI-based diagnosis of GDM) also shows our app has a promising future in improving the quality of maternal health for pregnant women, precision medicine, and long-distance medical care. We recommend future work should expand the dataset scope and replicate the process to validate the performance of the AI algorithms.
Keyphrases
- artificial intelligence
- pregnant women
- blood glucose
- machine learning
- healthcare
- mental health
- end stage renal disease
- blood pressure
- type diabetes
- big data
- clinical trial
- high resolution
- metabolic syndrome
- adipose tissue
- skeletal muscle
- health information
- newly diagnosed
- peritoneal dialysis
- current status
- ejection fraction
- patient reported outcomes