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- Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare
- Mohanty, Somya D.; Lekan, Deborah; McCoy, Thomas P.; Jenkins, Marjorie; Manda, Prashanti; Department of Computer Science, University of North Carolina at Greensboro, Petty Building, Greensboro 27403, NC, USA; School of Nursing, University of North Carolina at Greensboro, Petty Building, Greensboro 27403, NC, USA; School of Nursing, University of North Carolina at Greensboro, Petty Building, Greensboro 27403, NC, USA; Cone Health, North Church St, Greensboro 27401, NC, USA; Informatics and Analytics, University of North Carolina at Greensboro, 500 Forest Building, Greensboro 27403, NC, USA; (Patterns, v.3, 2021, pp.100395)
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- Causal machine learning for healthcare and precision medicine
- Sanchez, Pedro; Voisey, Jeremy P.; Xia, Tian; Watson, Hannah I.; O’Neil, Alison Q.; Tsaftaris, Sotirios A.; School of Engineering, University of Edinburgh, Edinburgh, UK; AI Research, Canon Medical Research Europe, Edinburgh, Lothian, UK; School of Engineering, University of Edinburgh, Edinburgh, UK; AI Research, Canon Medical Research Europe, Edinburgh, Lothian, UK; School of Engineering, University of Edinburgh, Edinburgh, UK; School of Engineering, University of Edinburgh, Edinburgh, UK; (Royal Society Open Science, v.9, 2022, pp.220638)
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- Using machine learning for healthcare treatment planning
- Dubey, Snigdha; Tiwari, Gaurav; Singh, Sneha; Goldberg, Saveli; Pinsky, Eugene; Department of Computer Science, Metropolitan College, Boston University , Boston, MA , United States; Department of Computer Science, Metropolitan College, Boston University , Boston, MA , United States; Department of Computer Science, Metropolitan College, Boston University , Boston, MA , United States; Department of Radiation Oncology Mass General Hospital , Boston, MA , United States; Department of Computer Science, Metropolitan College, Boston University , Boston, MA , United States; (Frontiers in artificial intelligence, v.6, 2023, pp.1124182)
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- Causal Economic Machine Learning (CEML): “Human AI”
- Horton, Andrew; 305 Sunnyside Crescent, London, ON 647-966-9870, Canada; (Ai : open access journal, v.5, 2024, pp.1893-1917)
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- Guest Editorial: Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution
- Yan, Ke; Ji, Zhiwei; Jin, Qun; Wang, Qing-Guo; China Jiliang University, College of Information Engineering, Hangzhou, China; National University of Singapore, Singapore; Nanjing Agricultural University, College of Artificial intelligence, Nanjing, Jiangsu, China; Waseda University, Department of Human Informatics and Cognitive Sciences, Tokorozawa, Japan; (IEEE/ACM transactions on computational biology and bioinformatics, v.18, 2021, pp.850-851)
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- Federated learning with tensor networks: a quantum AI framework for healthcare
- Singh Bhatia, Amandeep; Bernal Neira, David E; ; (Machine learning : science and technology, v.5, 2024, pp.045035)
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- AI applications to medical images: From machine learning to deep learning
- Castiglioni, Isabella; Rundo, Leonardo; Codari, Marina; Di Leo, Giovanni; Salvatore, Christian; Interlenghi, Matteo; Gallivanone, Francesca; Cozzi, Andrea; D'Amico, Natascha Claudia; Sardanelli, Francesco; Department of Physics, Università degli Studi di Milano-Bicocca; Department of Radiology; Department of Radiology, Stanford University School of Medicine, Stanford University; Unit of Radiology, IRCCS Policlinico San Donato; Scuola Universitaria Superiore IUSS Pavia; DeepTrace Technologies S.r.l.; Institute of Biomedical Imaging and Physiology, National Research Council; Department of Biomedical Sciences for Health, Università degli Studi di Milano; Department of Diagnostic Imaging and Stereotactic Radiosurgery, Centro Diagnostico Italiano S.p.A.; Unit of Radiology, IRCCS Policlinico San Donato; (Physica medica : European journal of medical physics, v.83, 2021, pp.9-24)
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- AI-Driven Machine Learning for Fraud Detection and Risk Management in U.S. Healthcare Billing and Insurance
- Raktim Dey,; Ashutosh Roy,; Jasmin Akter,; Aashish Mishra,; Malay Sarkar,; ; (Journal of computer science and technology studies, v.7, 2025, pp.188-198)
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- AI-Enhanced Predictive Analytics for Proactive Healthcare Management: Leveraging Machine Learning to Improve Patient Care and Operational Efficiency
- Ratnaprabha Ravindra Borhade,; ; (Panamerican mathematical journal, v.35, 2024, pp.46-57)
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- A Review on Machine Learning and Deep Learning Approaches for Predictive Healthcare Analytics
- Deepa Nikam,; ; (Journal of electrical systems, v.20, 2024, pp.2072-2080)
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