1. Louzada ML, Majeed H, Dao V, Wells PS. Risk of recurrent venous thromboembolism according to malignancy characteristics in patients with cancer-associated thrombosis: a systematic review of observational and intervention studies. Blood Coagulation & Fibrinolysis. Mar 2011;22(2):86-91. doi:10.1097/MBC.0b013e328341f030
2. Sorensen HT, Mellemkjaer L, Olsen JH, Baron JA. Prognosis of cancers associated with venous thromboembolism. New Engl J Med. Dec 21 2000;343(25):1846-1850. doi:Doi 10.1056/Nejm200012213432504
3. Lyman GH, Culakova E, Poniewierski MS, Kuderer NM. Morbidity, mortality and costs associated with venous thromboembolism in hospitalized patients with cancer. Thromb Res. Apr 2018;164 Suppl 1:S112-S118. doi:10.1016/j.thromres.2018.01.028
4. Khorana AA, Francis CW, Culakova E, Kuderer NM, Lyman GH. Frequency, risk factors, and trends for venous thromboembolism among hospitalized cancer patients. Cancer-Am Cancer Soc. Nov 15 2007;110(10):2339-2346. doi:10.1002/cncr.23062
5. Patell R, Zwicker JI. Inpatient prophylaxis in cancer patients: where is the evidence? Thrombosis Research. Jul 2020;191:S85-S90.
6. Lyman GH, Carrier M, Ay C. American Society of Hematology 2021 guidelines for management of venous thromboembolism: prevention and treatment in patients with cancer (vol 5, pg 927, 2021). Blood Adv. Apr 13 2021;5(7):1953-1953. doi:10.1182/bloodadvances.2021004734
7. Zhai Z, Kan Q, Li W, et al. VTE Risk Profiles and Prophylaxis in Medical and Surgical Inpatients: The Identification of Chinese Hospitalized Patients' Risk Profile for Venous Thromboembolism (DissolVE-2)-A Cross-sectional Study. Chest. Jan 2019;155(1):114-122. doi:10.1016/j.chest.2018.09.020
8. Treasure T, Hill J. NICE guidance on reducing the risk of venous thromboembolism in patients admitted to hospital. Journal of the Royal Society of Medicine. Jun 2010;103(6):210-212. doi:10.1258/jrsm.2010.100086
9. Khorana AA, Kuderer NM, Culakova E, Lyman GH, Francis CW. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood. May 15 2008;111(10):4902-7. doi:10.1182/blood-2007-10-116327
10. Gerotziafas GT, Taher A, Abdel-Razeq H, et al. A Predictive Score for Thrombosis Associated with Breast, Colorectal, Lung, or Ovarian Cancer: The Prospective COMPASS-Cancer-Associated Thrombosis Study. Oncologist. Oct 2017;22(10):1222-1231. doi:10.1634/theoncologist.2016-0414
11. Hu Y, Li X, Zhou H, et al. Comparison between the Khorana prediction score and Caprini risk assessment models for assessing the risk of venous thromboembolism in hospitalized patients with cancer: a retrospective case control study. Interactive Cardiovascular and Thoracic Surgery. Oct 2020;31(4):454-460. doi:10.1093/icvts/ivaa137
12. Jin S, Qin D, Liang B-S, et al. Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables. International journal of medical informatics. 2022-05 2022;161:104733-104733. doi:10.1016/j.ijmedinf.2022.104733
13. Xiong W, Zhao YF, Du H, Wang YM, Xu M, Guo XJ. Optimal authoritative risk assessment score of Cancer-associated venous thromboembolism for hospitalized medical patients with lung Cancer. Thrombosis Journal. Dec 2021;19(1)95. doi:10.1186/s12959-021-00339-x
14. Khorana AA, DeSancho MT, Liebman H, Rosovsky R, Connors JM, Zwicker J. Prediction and Prevention of Cancer-Associated Thromboembolism. Oncologist. Jan 2021;26(1):E2-E7. doi:10.1002/onco.13569
15. Liu SS, Zhang FY, Xie LL, et al. Machine learning approaches for risk assessment of peripherally inserted Central catheter-related vein thrombosis in hospitalized patients with cancer. Int J Med Inform. Sep 2019;129:175-183. doi:10.1016/j.ijmedinf.2019.06.001
16. He L, Luo L, Hou X, et al. Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model. BMC Emerg Med. May 10 2021;21(1):60. doi:10.1186/s12873-021-00447-x
17. Na KS, Kim YK. The Application of a Machine Learning-Based Brain Magnetic Resonance Imaging Approach in Major Depression. Adv Exp Med Biol. 2021;1305:57-69. doi:10.1007/978-981-33-6044-0_4
18. Dhami SPS, Patmore S, O'Sullivan JM. Advances in the Management of Cancer-Associated Thrombosis. Seminars in Thrombosis and Hemostasis. Mar 2021;47(02):139-149. doi:10.1055/s-0041-1722863
19. Razouki ZA, Ali NT, Nguyen VQ, Escalante CP. Risk factors associated with venous thromboembolism in breast cancer: a narrative review. Supportive Care in Cancer. doi:10.1007/s00520-022-07045-y
20. Ryan L, Mataraso S, Siefkas A, et al. A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients. Clinical and Applied Thrombosis-Hemostasis. Feb 2021;271076029621991185. doi:10.1177/1076029621991185
21. Wang P, Wang Y, Yuan ZY, et al. Venous thromboembolism risk assessment of surgical patients in Southwest China using real-world data: establishment and evaluation of an improved venous thromboembolism risk model. Bmc Medical Informatics and Decision Making. Mar 2022;22(1)59. doi:10.1186/s12911-022-01795-9
22. Bai J, Ding X, Du XH, Zhao XF, Wang ZQ, Ma ZQ. Diabetes is associated with increased risk of venous thromboembolism: A systematic review and meta-analysis. Thromb Res. Jan 2015;135(1):90-95. doi:10.1016/j.thromres.2014.11.003
23. Janus N, Mahe I, Launay-Vacher V, Laroche JP, Deray G. Renal function and venous thromboembolic diseases. J Mal Vasc. Dec 2016;41(6):389-395. doi:10.1016/j.jmv.2016.09.001
24. Weitz JI, Haas S, Ageno W, et al. Cancer associated thrombosis in everyday practice: perspectives from GARFIELD-VTE. J Thromb Thrombolysis. Aug 2020;50(2):267-277. doi:10.1007/s11239-020-02180-x
25. Posch F, Riedl J, Reitter EM, et al. Dynamic assessment of venous thromboembolism risk in patients with cancer by longitudinal D-Dimer analysis: A prospective study. J Thromb Haemost. Jun 2020;18(6):1348-1356. doi:10.1111/jth.14774
26. Key NS, Khorana AA, Kuderer NM, et al. Venous Thromboembolism Prophylaxis and Treatment in Patients With Cancer: ASCO Clinical Practice Guideline Update. J Clin Oncol. Feb 10 2020;38(5):496-520. doi:10.1200/JCO.19.01461
27. Anderson DR, Morgano GP, Bennett C, et al. American Society of Hematology 2019 guidelines for management of venous thromboembolism: prevention of venous thromboembolism in surgical hospitalized patients. Blood Adv. Dec 10 2019;3(23):3898-3944. doi:10.1182/bloodadvances.2019000975
28. Abdel-Rahman O, Wu C, Easaw J. Risk of arterial and venous thromboembolic events among patients with colorectal carcinoma: a real-world, population-based study. Future Oncol. Jun 2021;17(30):3977-+. doi:10.2217/fon-2021-0252
29. Lyman GH, Bohlke K, Khorana AA, et al. Venous Thromboembolism Prophylaxis and Treatment in Patients With Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update 2014. J Clin Oncol. Feb 20 2015;33(6):654-U174. doi:10.1200/Jco.2014.59.7351
30. Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV, Fotiadis DI. Machine learning applications in cancer prognosis and prediction. Computational and Structural Biotechnology Journal. 2015;13:8-17. doi:10.1016/j.csbj.2014.11.005