Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Journals

1. Gao S, Zhao X, Chen L, Yu J, Tian S, Zhou H, Chen J, Long S, He Q, Feng X. Enhancing privacy-preserving deployable large language models for perioperative complication detection: a targeted strategy with LoRA fine-tuning. npj Digital Medicine 2025;8(1) View
2. Bai B, Liu X, Li H. Federated multimodal AI for precision-equitable diabetes care. Frontiers in Digital Health 2026;7 View
3. Zargari M, Ghader S, Pérez I, García M. Machine and deep learning-based forecast of Tehran’s accelerating nighttime surface heat island crisis. Scientific Reports 2026 View
4. Lin N, Wang C, Shan Y, Wu Z. Data-Driven Tooth Selection Enhances Partial-Mouth Periodontal Screening. Journal of Dental Research 2026 View
5. He L, Harold S, Frydrysiak–Brzozowska A. A Combination of Human Wisdom and Artificial Intelligence will Win the Game. Newborn 2026;5(1):iv View
6. Shia B, Peng S, Chang C, Lo C, WANG S. Explainable AI for Equitable Nurse Scheduling: A Pragmatic Pre-Post Implementation Study (Preprint). JMIR Nursing 2026 View
7. Baloi A, Sandesc D, Cut T, Caprariu R, Novacescu D, Dumitru C, Barb A, Dumache R, Banov P, Birlutiu V, Lazureanu V, Zara F. Predicting Hungry Bone Syndrome with Interpretable Machine Learning: A Single-Center Cohort of Dialysis Patients Undergoing Parathyroidectomy. Diagnostics 2026;16(10):1469 View

Books/Policy Documents

1. Harinck M, Sarwar M, Ton B, Ahmed F. Computational Intelligence. View