Academic literature on the topic 'Machine Learning, Bioinformatics, Rare Diseases, Healthcare'
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Journal articles on the topic "Machine Learning, Bioinformatics, Rare Diseases, Healthcare"
Hauschild, Anne-Christin, Marta Lemanczyk, Julian Matschinske, Tobias Frisch, Olga Zolotareva, Andreas Holzinger, Jan Baumbach, and Dominik Heider. "Federated Random Forests can improve local performance of predictive models for various healthcare applications." Bioinformatics 38, no. 8 (February 9, 2022): 2278–86. http://dx.doi.org/10.1093/bioinformatics/btac065.
Full textR, Pooja M. "Application of Learning Approaches in Healthcare." International Journal of Advanced Medical Sciences and Technology 1, no. 3 (June 10, 2021): 1–2. http://dx.doi.org/10.35940/ijamst.b3005.061321.
Full textM R, Pooja. "Application of Learning Approaches in Healthcare." International Journal of Advanced Medical Sciences and Technology 1, no. 3 (June 10, 2021): 1–2. http://dx.doi.org/10.54105/ijamst.b3005.061321.
Full textSetty, Samarth Thonta, Marie-Pier Scott-Boyer, Tania Cuppens, and Arnaud Droit. "New Developments and Possibilities in Reanalysis and Reinterpretation of Whole Exome Sequencing Datasets for Unsolved Rare Diseases Using Machine Learning Approaches." International Journal of Molecular Sciences 23, no. 12 (June 18, 2022): 6792. http://dx.doi.org/10.3390/ijms23126792.
Full textYao, Junfeng, Wen Sun, Zhongquan Jian, Qingqiang Wu, and Xiaoli Wang. "Effective knowledge graph embeddings based on multidirectional semantics relations for polypharmacy side effects prediction." Bioinformatics 38, no. 8 (February 17, 2022): 2315–22. http://dx.doi.org/10.1093/bioinformatics/btac094.
Full textKothari, Sonali, Shwetambari Chiwhane, Shruti Jain, and Malti Baghel. "Cancerous brain tumor detection using hybrid deep learning framework." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (June 1, 2022): 1651. http://dx.doi.org/10.11591/ijeecs.v26.i3.pp1651-1661.
Full textPrakash, PKS, Srinivas Chilukuri, Nikhil Ranade, and Shankar Viswanathan. "RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 453–60. http://dx.doi.org/10.1609/aaai.v35i1.16122.
Full textAhmad, Iftikhar, Muhammad Javed Iqbal, and Mohammad Basheri. "Biological Data Classification and Analysis Using Convolutional Neural Network." Journal of Medical Imaging and Health Informatics 10, no. 10 (October 1, 2020): 2459–65. http://dx.doi.org/10.1166/jmihi.2020.3179.
Full textAhmad, Iftikhar, Muhammad Javed Iqbal, and Mohammad Basheri. "Biological Data Classification and Analysis Using Convolutional Neural Network." Journal of Medical Imaging and Health Informatics 10, no. 10 (October 1, 2020): 2459–65. http://dx.doi.org/10.1166/jmihi.2020.31792459.
Full textCesario, Alfredo, Marika D’Oria, Riccardo Calvani, Anna Picca, Antonella Pietragalla, Domenica Lorusso, Gennaro Daniele, et al. "The Role of Artificial Intelligence in Managing Multimorbidity and Cancer." Journal of Personalized Medicine 11, no. 4 (April 19, 2021): 314. http://dx.doi.org/10.3390/jpm11040314.
Full textDissertations / Theses on the topic "Machine Learning, Bioinformatics, Rare Diseases, Healthcare"
Visibelli, Anna. "Machine learning in Bioinformatics: Novel approaches to Precision Medicine, Life Sciences and Healthcare." Doctoral thesis, Università di Siena, 2022. http://hdl.handle.net/11365/1182445.
Full textBook chapters on the topic "Machine Learning, Bioinformatics, Rare Diseases, Healthcare"
Mehta, Neha, and Archana Chaudhary. "Patient Empowerment of People with Rare Diseases." In Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics, 27–40. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003132110-3.
Full textBiloborodova, Tetiana, Inna Skarga-Bandurova, Mark Koverha, Illia Skarha-Bandurov, and Yelyzaveta Yevsieieva. "A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets." In Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era. IOS Press, 2021. http://dx.doi.org/10.3233/shti210801.
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