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Fig. 13 | BioData Mining

Fig. 13

From: PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks

Fig. 13

Example for a patient where PredictPTB was able to learn rare complications as risk factors for preterm birth. This patient was diagnosed with twin-to-twin transfusion syndrome (TTTS), a rare disorder which affects 10−15% of monochorionic, diamniotic twin pregnancies [50]. This observation is in line with literature reporting that pregnancies with TTTS complication are at increased risk for PTB [51]

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