Paschalidis, Ioannis Ch.

Federated learning of predictive models from federated Electronic Health Records

Brisimi, T. S., Chen, R., Mela, T., Olshevsky, A., Paschalidis, I. C., & Shi, W. (2018) · International Journal of Medical Informatics

Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems

Cited by 997

Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records

Zad, Z., Jiang, V. S., Wolf, A. T., Wang, T., Cheng, J. J., Paschalidis, I. C., & Mahalingaiah, S. (2024) · Frontiers in Endocrinology

Ovarian function and disordersArtificial Intelligence in Healthcare

Cited by 97

Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach

Amini, S., Hao, B., Zhang, L., Song, M., Gupta, A., Karjadi, C., Kolachalama, V. B., Au, R., & Paschalidis, I. C. (2023) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 76

Improved Predictions of MHC-Peptide Binding using Protein Language Models

Hashemi, N., Hao, B., Ignatov, M., Paschalidis, I., Vakili, P., Vajda, S., & Kozakov, D. (2022) · Frontiers in Bioinformatics

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 25

Improved prediction of MHC-peptide binding using protein language models

Hashemi, N., Hao, B., Ignatov, M., Paschalidis, I. C., Vakili, P., Vajda, S., & Kozakov, D. (2023) · Frontiers in Bioinformatics

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 25