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Sadjad Anzabi Zadeh

2 papers hereh-index 250 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedOptimizing Warfarin Dosing using Deep Reinforcement Learning

40 citations · 40 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action Forging

Sadjad Anzabi Zadeh, W. Nick Street, Barrett W. Thomas

Deep Reinforcement Learning is an effective tool for drug dosing for chronic condition management. However, the final protocol is generally a black box without any justification fo…

cs.LG2022★ 40 cited

Optimizing Warfarin Dosing using Deep Reinforcement Learning

Sadjad Anzabi Zadeh, W. Nick Street, Barrett W. Thomas

Warfarin is a widely used anticoagulant, and has a narrow therapeutic range. Dosing of warfarin should be individualized, since slight overdosing or underdosing can have catastroph…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.