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Karon Abe

Showing results (31-40 of 38) with videos related to

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Blood Advances|March 24, 2024
Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysisBarbara D Lam, Pavlina Chrysafi, Thita Chiasakul, et al.
Journal of Thrombosis and Haemostasis : JTH|July 13, 2022
Cancer-associated venous thromboembolism: Incidence and features in a racially diverse populationGary E Raskob, Aaron M Wendelboe, Janis Campbell, et al.
Blood Vessels, Thrombosis & Hemostasis|January 27, 2025
Artificial intelligence meets venous thromboembolism: informaticians' insights on diagnosis, prevention, and managementAnuranita Gupta, Barbara D Lam, Sabrina Zerbey, et al.
Scientific Reports|May 25, 2024
The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectivesBarbara D Lam, Laura E Dodge, Sabrina Zerbey, et al.
Research and Practice in Thrombosis and Haemostasis|January 3, 2024
Artificial intelligence for venous thromboembolism prophylaxis: Clinician perspectivesBarbara D Lam, Sabrina Zerbey, Amanda Pinson, et al.
Research and Practice in Thrombosis and Haemostasis|September 28, 2023
Venous thromboembolism prophylaxis for hospitalized adult patients: a survey of US health care providers on attitudes and practicesBarbara D Lam, Laura E Dodge, Siddhant Datta, et al.
Research and Practice in Thrombosis and Haemostasis|May 31, 2024
An epidemiologic study comparing cancer- and noncancer-associated venous thromboembolism in a racially diverse Southeastern United States countyAndrew M Peseski, Sargam Kapoor, Maragatha Kuchibhatla, et al.
Public Health Reports (Washington, D.C. : 1974)|June 6, 2022
Partnership Between a Federal Agency and 4 Tribal Nations to Improve COVID-19 Response CapacitiesHarpriya Kaur, Seh Welch, Ravikiran Bhairavabhotla, et al.
Pageof 4

Showing results (31-40 of 38) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 38 results.
Blood Advances|March 24, 2024
Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysisBarbara D Lam, Pavlina Chrysafi, Thita Chiasakul, et al.
Journal of Thrombosis and Haemostasis : JTH|July 13, 2022
Cancer-associated venous thromboembolism: Incidence and features in a racially diverse populationGary E Raskob, Aaron M Wendelboe, Janis Campbell, et al.
Blood Vessels, Thrombosis & Hemostasis|January 27, 2025
Artificial intelligence meets venous thromboembolism: informaticians' insights on diagnosis, prevention, and managementAnuranita Gupta, Barbara D Lam, Sabrina Zerbey, et al.
Scientific Reports|May 25, 2024
The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectivesBarbara D Lam, Laura E Dodge, Sabrina Zerbey, et al.
Research and Practice in Thrombosis and Haemostasis|January 3, 2024
Artificial intelligence for venous thromboembolism prophylaxis: Clinician perspectivesBarbara D Lam, Sabrina Zerbey, Amanda Pinson, et al.
Research and Practice in Thrombosis and Haemostasis|September 28, 2023
Venous thromboembolism prophylaxis for hospitalized adult patients: a survey of US health care providers on attitudes and practicesBarbara D Lam, Laura E Dodge, Siddhant Datta, et al.
Research and Practice in Thrombosis and Haemostasis|May 31, 2024
An epidemiologic study comparing cancer- and noncancer-associated venous thromboembolism in a racially diverse Southeastern United States countyAndrew M Peseski, Sargam Kapoor, Maragatha Kuchibhatla, et al.
Public Health Reports (Washington, D.C. : 1974)|June 6, 2022
Partnership Between a Federal Agency and 4 Tribal Nations to Improve COVID-19 Response CapacitiesHarpriya Kaur, Seh Welch, Ravikiran Bhairavabhotla, et al.
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