Tomas Bosschieter

All Publications

• Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes JOURNAL OF HEALTHCARE INFORMATICS RESEARCH Bosschieter, T. M., Xu, Z., Lan, H., Lengerich, B. J., Nori, H., Painter, I., Souter, V., Caruana, R. 2023

  View details for DOI 10.1007/s41666-023-00151-4

  View details for Web of Science ID 001081149700001

• Unique insights into risk factors for antepartum stillbirth using explainable AI Bosschieter, T. M., Lan, H., Xu, Z., Lengerich, B., Nori, H., Sitcov, K., Painter, I., Caruana, R., Souter, V. MOSBY-ELSEVIER. 2023: S403-S404

  View details for Web of Science ID 000909337401174

• Preterm preeclampsia prediction using intelligible machine learning Bosschieter, T. M., Xu, Z., Lan, H., Lengerich, B., Nori, H., Sitcov, K., Painter, I., Caruana, R., Souter, V. MOSBY-ELSEVIER. 2023: S409

  View details for Web of Science ID 000909337401183

• Predicting severe maternal morbidity at admission for delivery using intelligible machine learning Xu, Z., Bosschieter, T. M., Lan, H., Lengerich, B., Nori, H., Sitcov, K., Painter, I., Souter, V., Caruana, R. MOSBY-ELSEVIER. 2023: S404-S405

  View details for Web of Science ID 000909337401175

• Understanding risk factors for shoulder dystocia using interpretable machine learning Lan, H., Bosschieter, T. M., Xu, Z., Lengerich, B., Nori, H., Sitcov, K., Painter, I., Souter, V., Caruana, R. MOSBY-ELSEVIER. 2023: S753

  View details for Web of Science ID 000909337402244