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Machine Learning Methodologies for Prediction of Rhythm-Control Strategy in Patients Diagnosed With Atrial Fibrillation: Observational, Retrospective, Case-Control Study

Machine Learning Methodologies for Prediction of Rhythm-Control Strategy in Patients Diagnosed With Atrial Fibrillation: Observational, Retrospective, Case-Control Study

AF treatments were defined as any medication, including antiarrhythmic medications, external cardioversion, or AF ablation procedure that was ordered within 6 months after the index encounter (Multimedia Appendix 1, Table S2). We defined the order for any antiarrhythmic medication, ablation, or cardioversion procedure as a rhythm-control strategy and any nodal agent or absence of a treatment order as a rate-control strategy.

Rachel S Kim, Steven Simon, Brett Powers, Amneet Sandhu, Jose Sanchez, Ryan T Borne, Alexis Tumolo, Matthew Zipse, J Jason West, Ryan Aleong, Wendy Tzou, Michael A Rosenberg

JMIR Med Inform 2021;9(12):e29225

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Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Specifically, we designed a simple ablation experiment [40] to identify important features (or risk factors). Our evaluation results show that physicians were more in agreement with the risk factors ranked by CLOUT than the ones ranked by the commonly used logistic regression model.

Subendhu Rongali, Adam J Rose, David D McManus, Adarsha S Bajracharya, Alok Kapoor, Edgard Granillo, Hong Yu

J Med Internet Res 2020;22(3):e16374

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Irreversible Electroporation for the Ablation of Renal Cell Carcinoma: A Prospective, Human, In Vivo Study Protocol (IDEAL Phase 2b)

Irreversible Electroporation for the Ablation of Renal Cell Carcinoma: A Prospective, Human, In Vivo Study Protocol (IDEAL Phase 2b)

To determine the clinical efficacy of IRE ablation for SRMs (≤4 cm) assessed by the recurrence and residual disease rate at follow‐up using cross‐sectional imaging To evaluate the use of computed tomography (CT), magnetic resonance imaging (MRI), and contrast-enhanced ultrasound (CEUS) in the visualization of (non)complete ablation to assess the radiological extent of the ablation zone at 1 week, 3 months, 6 months, 9 months and 1 year after IRE To evaluate perioperative outcomes after IRE ablation of SRMs (

Mara Buijs, Krijn P van Lienden, Peter GK Wagstaff, Matthijs JV Scheltema, Daniel M de Bruin, Patricia J Zondervan, Otto M van Delden, Ton G van Leeuwen, Jean JMCH de la Rosette, M Pilar Laguna

JMIR Res Protoc 2017;6(2):e21

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