Response: Comment and Update on “Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management”

Semin Thromb Hemost 2021; 47(01): 115-116
DOI: 10.1055/s-0040-1721755

Letter to the Editor

Aastha Mishra

¹Department of Biotechnology, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India

,

Mohammad Zahid Ashraf

¹Department of Biotechnology, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India

References
1 Mishra A, Ashraf MZ. Using artificial intelligence to manage thrombosis research, diagnosis, and clinical management. Semin Thromb Hemost 2020; 46 (04) 410-418
2 Martins TD, Annichino-Bizzacchi JM, Romano AVC, Filho RM. Principal component analysis on recurrent venous thromboembolism. Clin Appl Thromb Hemost 2019; 25: 1076029619895323
3 Martins TD, Annichino-Bizzacchi JM, Romano AVC, Maciel Filho R. Artificial neural networks for prediction of recurrent venous thromboembolism. Int J Med Inform 2020; 141: 104221