Systematic Review, Meta-Analysis, and Quality Appraisal of Advanced Machine Learning Risk Models for Cancer-Associated Thrombosis: The Emergence of Artificial Intelligence in Thrombosis Research
Publication
, Conference
Kuderer, NM; Lyman, GH
Published in: Blood
November 5, 2024
Duke Scholars
Published In
Blood
DOI
EISSN
1528-0020
ISSN
0006-4971
Publication Date
November 5, 2024
Volume
144
Issue
Supplement 1
Start / End Page
4025 / 4025
Publisher
American Society of Hematology
Related Subject Headings
- Immunology
- 3213 Paediatrics
- 3201 Cardiovascular medicine and haematology
- 3101 Biochemistry and cell biology
- 1114 Paediatrics and Reproductive Medicine
- 1103 Clinical Sciences
- 1102 Cardiorespiratory Medicine and Haematology
Citation
APA
Chicago
ICMJE
MLA
NLM
Kuderer, N. M., & Lyman, G. H. (2024). Systematic Review, Meta-Analysis, and Quality Appraisal of Advanced Machine Learning Risk Models for Cancer-Associated Thrombosis: The Emergence of Artificial Intelligence in Thrombosis Research. In Blood (Vol. 144, pp. 4025–4025). American Society of Hematology. https://doi.org/10.1182/blood-2024-211153
Kuderer, Nicole M., and Gary H. Lyman. “Systematic Review, Meta-Analysis, and Quality Appraisal of Advanced Machine Learning Risk Models for Cancer-Associated Thrombosis: The Emergence of Artificial Intelligence in Thrombosis Research.” In Blood, 144:4025–4025. American Society of Hematology, 2024. https://doi.org/10.1182/blood-2024-211153.
Kuderer NM, Lyman GH. Systematic Review, Meta-Analysis, and Quality Appraisal of Advanced Machine Learning Risk Models for Cancer-Associated Thrombosis: The Emergence of Artificial Intelligence in Thrombosis Research. In: Blood. American Society of Hematology; 2024. p. 4025–4025.
Kuderer, Nicole M., and Gary H. Lyman. “Systematic Review, Meta-Analysis, and Quality Appraisal of Advanced Machine Learning Risk Models for Cancer-Associated Thrombosis: The Emergence of Artificial Intelligence in Thrombosis Research.” Blood, vol. 144, no. Supplement 1, American Society of Hematology, 2024, pp. 4025–4025. Crossref, doi:10.1182/blood-2024-211153.
Kuderer NM, Lyman GH. Systematic Review, Meta-Analysis, and Quality Appraisal of Advanced Machine Learning Risk Models for Cancer-Associated Thrombosis: The Emergence of Artificial Intelligence in Thrombosis Research. Blood. American Society of Hematology; 2024. p. 4025–4025.
Published In
Blood
DOI
EISSN
1528-0020
ISSN
0006-4971
Publication Date
November 5, 2024
Volume
144
Issue
Supplement 1
Start / End Page
4025 / 4025
Publisher
American Society of Hematology
Related Subject Headings
- Immunology
- 3213 Paediatrics
- 3201 Cardiovascular medicine and haematology
- 3101 Biochemistry and cell biology
- 1114 Paediatrics and Reproductive Medicine
- 1103 Clinical Sciences
- 1102 Cardiorespiratory Medicine and Haematology