… It is therefore of key importance to diagnose preterm delivery in advance in order to avoid or
… -invasive diagnosis of preterm delivery based on the classification of electrohysterography (…

… form of electrohysterogram (EHG) opens a new research direction for the development of …
This review focuses on EHG signal analysis and its application to preterm birth diagnostic …

… Accurate diagnosis of preterm delivery is one of the most … techniques for diagnosing preterm
delivery include … variability and inaccurate diagnosis or prediction of preterm delivery [2]. …

… to diagnose preterm labor, the … electrohysterographic recordings (EHG), such as random
forest (RF), extreme learning machine (ELM) and K-nearest neighbors (KNN) for imminent labor …

… on electrohysterography (EHG) could help to early detect the … of EHG-biomarkers for the
early detection of high-risk obstetrical … deliveries. Discriminatory capacity of EHGbiomarkers for …

… signals and its application for the early diagnosis of PTB using machine learning techniques…
as the efficacy of machine learning methods for early diagnosis of PTB. Further, potential …

… difficulty of diagnosis of preterm delivery given the lack of understanding about its causes. …
medical fields that are utilised for preterm birth detection, such as electrohysterography (EHG), …

… So, in this study, such early diagnostic methodology is … , which is also called
electrohysterography (EHG). The raw EHG … , "A review of significant researches on prediction of …

… For this comparison, we included results only from studies published in peer-reviewed
journals, with sound methodology, that reported the AUC of the predictions, and which included at …

… was better in the studies using the metabolic panel and electrohysterogram images. … diagnosis
of imaging data named as computer-aided diagnosis (CAD), especially in the diagnosis of …