Predicting treatment response to neoadjuvant chemotherapy in locally advanced rectal cancer: A combined deep learning and machine learning approach utilizing longitudinal multi-sequence MRI. [PDF]
Eur J Radiol OpenZhang W, Fu X, Wen L, Yang Y, Zhang D.
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Statistical and machine-learning assessment of attitudinal, knowledge, and perceptual factors on diabetes awareness in Kuwait. [PDF]
BMC Med Inform Decis MakAl-Sultan AT +6 more
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Intelligent Decision Support for Transcatheter Aortic Valve Replacement: Machine Learning Spans From Anatomical Assessment to Dynamic Risk Modeling. [PDF]
Rev Cardiovasc MedHu X, Xie P, Li Y.
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High accuracy breast cancer classification with BIRADS and coclustering. [PDF]
PLoS OneZhou R, Yu X, Wang J.
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Predicting early discontinuation of adalimumab in patients with rheumatoid arthritis using machine learning: A specialty pharmacy-based approach. [PDF]
J Manag Care Spec PharmYoon AH, Gedeck P, Oelofsen M.
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Artificial Intelligence and Augmented Reality in Orthopedic Surgery: A Narrative Review of Current Applications and Future Directions. [PDF]
CureusLuigi-Martínez HE +4 more
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Detection of Communications Channels in VHF Band for Enhanced Maritime Surveillance. [PDF]
Sensors (Basel)Lopes A, Fernandes L, Chaves P.
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Precision Diagnosis in Cutaneous Head and Neck Squamous Cell Carcinoma. [PDF]
BiomedicinesAsarkar AA +10 more
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SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]
PLoS OneJena M, Dehuri S, Cho SB.
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Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]
PLoS OneFulton L, Lyu P.
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