In this project I was tasked with developing an algorithm in R to give automated predictions of fetal health (the variable NSP) using data taken from fetal cardiotocograms (CTGs). In the training data, the variable NSP has been labeled by doctors. The variable meanings are given below. LB - FHR baseline (beats per minute)

2010年9月6日 · The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians. 2126 fetal cardiotocograms (CTGs) were automatically processed and the …

representing features of fetus Heart Rate (FHR) and Uterine Contraction (UC) during pregnancy. The features are organized in a dataset with 21 input attributes and 3 classes of fetus state classified into Normal, Suspicious and Pathologic. analyze classification techniques like …

Accurate fetal heart rate (FHR) assessment may help in determining the status of the fetus and indicate management steps for a particular condition. In order to accurately assess a FHR pattern, a description of the pattern should include qualitative and quantitative information in …

Cardiotocography data from UCI machine learning repository. Raw data have been cleaned and an outcome column added that is a binary variable of predicting NSP (described below) = 2.

The dataset includes measurements of fetal heart rate (FHR) and uterine contraction (UC) characteristics on fetal heart charts classified by specialist obstetricians. There are 2, 126 sample real numbers and 23 attribute descriptions in the dataset. The last column is the category label, where 1 is healthy, 2 suspicious, and 3 pathological.

2022年9月1日 · In this paper, we develop a multimodal bidirectional gated recurrent units (MBiGRU) network for end-to-end CTG feature extraction and classification. Specifically, data preprocessing was first conducted on raw CTG data, including missing values and outliers processing, FHR signal normalization, signal segmentation and enhancement.

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2019年5月4日 · FHR basic line:heart rate per minute. AC. Accumulate times per second. FM. Fetal movement per second. UC. uterine contraction per second. DL. Light deceleration per second. DS. Serious deceleration per second. DP. Persistent deceleration per second. ASTV. Short term variation in the percentage of time. MSTV. Short term variation of average. ALTV

Consider the CTG dataset with 2126 cases of foetal heart rate (FHR) features computed in normal, suspect and pathological FHR tracings (variable NSP). Perform a principal component analysis using the feature set {LB, ASTV, MSTV, ALTV, MLTV, WIDTH,...