过去一年中添加的文章，按日期排序
… Adiposity and Autosomal Dominant Polycystic Kidney Disease Progression: One More Step Toward Identifying Useful Biomarkers and Characterizing the Disease …
EH Watanabe, LF Onuchic - American Journal of Kidney Diseases, 2024 - ajkd.org
5 天前 - … a robust correlation with the future rate of kidney function … This classification is
routinely applied in clinical practice … imaging techniques, deep learning, and understanding of …
routinely applied in clinical practice … imaging techniques, deep learning, and understanding of …
A Predictive Diagnostic Model for Diabetes Using Machine Learning Technique
M Agagu - Smart Healthcare and Machine Learning, 2024 - Springer
11 天前 - … reduced if a reliable early diagnosis is made. … in a patient, different machine
learning classification algorithms, … , including cardiovascular disease, kidney failure, vision …
learning classification algorithms, … , including cardiovascular disease, kidney failure, vision …
Interpretable Machine Learning for Chronic Kidney Disease Diagnosis: A Gaussian Processes Approach
TR Noviandy, GM Idroes, M Syukri… - Indonesian Journal of …, 2024 - heca-analitika.com
24 天前 - … using GP for CKD classification to enhance predictive accuracy and provide robust
… of GP and SHAP to create interpretable and reliable diagnostic tools. This study seeks to …
… of GP and SHAP to create interpretable and reliable diagnostic tools. This study seeks to …
[HTML][HTML] A deep learning-powered diagnostic model for acute pancreatitis
C Zhang, J Peng, L Wang, Y Wang, W Chen, M Sun… - BMC Medical …, 2024 - Springer
33 天前 - … kidney function indicators, as well as coagulation parameters. The acute pancreatitis
classifier … This strategic division ensures robust training and reliable validation, contributing …
classifier … This strategic division ensures robust training and reliable validation, contributing …
A novel hybrid machine learning based prediction of chronic kidney disease
SL Vallem, T Velpula, V Jorika, B Chiranjevi… - AIP Conference …, 2024 - pubs.aip.org
47 天前 - … Hybrid Machine Learning based … classifiers SVM (Support Vector Machine) and
Decision tree are combined as a hybrid model. This approach can give accurate and reliable …
Decision tree are combined as a hybrid model. This approach can give accurate and reliable …
Integrating Morphological Characteristics with Empirical Mode Decomposition for Robust ECG Signal Classification
AT Varghese - Communications on Applied Nonlinear …, 2024 - internationalpubls.com
52 天前 - … deaths in patients with chronic kidney disease (CKD… deep learning models [3].
Given the limited size of our dataset, we opted for machine learning approach over deep learning …
Given the limited size of our dataset, we opted for machine learning approach over deep learning …
[HTML][HTML] Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics
52 天前 - … informatics, machine learning and deep learning models … efficient positives on
Chronic Kidney Disease diagnosis. The … , a reliable subset selection feature using metaheuristics. …
Chronic Kidney Disease diagnosis. The … , a reliable subset selection feature using metaheuristics. …
# 1756 Development and internal validation of machine learning algorithms for mortality prediction model of people with DM and CKD
Y Zou, F Liu - Nephrology Dialysis Transplantation, 2024 - academic.oup.com
61 天前 - … Diabetes Mellitus (DM) and Chronic Kidney Disease (CKD) … The aim of this study
is to develop a machine learning-… RF standing out for its consistent and reliable performance. …
is to develop a machine learning-… RF standing out for its consistent and reliable performance. …
An effective role-oriented binary Walrus Grey Wolf approach for feature selection in early-stage chronic kidney disease detection
69 天前 - … An ensemble characteristics-based classifier was employed for reliable CKD
classification… presents an early chronic CKD diagnosis method based on a deep learning model. It …
classification… presents an early chronic CKD diagnosis method based on a deep learning model. It …
An Efficient RGB-D Indoor Scene-Parsing Solution via Lightweight Multiflow Intersection and Knowledge Distillation
71 天前 - … This facilitates a reduction in parameter count and optimizes student classification.
… model with robust performance, we designed a lightweight MIM that uses the SegFormer …
… model with robust performance, we designed a lightweight MIM that uses the SegFormer …