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  1. 24 lut 2024 · In this study we employed a novel implementation of deep reinforcement learning to provide clinical decision support to optimize time in therapeutic International Normalized Ratio (INR) range.

  2. 1 sty 2021 · Various ML techniques were explored to predict suboptimal anticoagulation control, defined as time in therapeutic range (TTR) < 70% based on International Normalised Ratio (INR) 2.0–3.0.

  3. 1 maj 2023 · International normalized ratio (INR) is the preferred test of choice for patients taking vitamin K antagonists (VKA). It can also be used to assess the risk of bleeding or the coagulation status of the patients.

  4. 20 lip 2021 · A table generator that provides PT INR predictions based on virtual administrations of fixed doses of warfarin was developed based on the machine learning algorithm that predicts the 5th-day...

  5. 20 lip 2021 · The first aim of this study was to develop a prothrombin time international normalized ratio (PT INR) prediction model. The second aim was to develop a warfarin maintenance dose decision support system as a precise warfarin dosing platform. Data of 19,719 inpatients from three institutions was analyzed.

  6. 25 lis 2020 · We aim to explore the feasibility of using machine learning to develop a model that can learn and predict actual warfarin titration practices. A retrospective dataset of 4,247 patients with 48,895 data points of INR values were obtained from our institutional database.

  7. 18 gru 2023 · Our study aimed to develop machine learning (ML) models that predicts the discharge dosage of warfarin as the initial warfarin dosage using clinical data derived from electronic medical records...

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