Results 201 to 210 of about 31,305 (267)

Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy

Journal of Ultrasound in Medicine, EarlyView.
Objectives Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic peripheral neuropathy (DPN), conduct comparative analyses of these models, and further evaluate and validate the diagnostic efficacy of the optimal model for DPN as well as its potential in clinical application ...
Bo‐yu She, Meng‐lu Song, Wen‐bin Chen, Kun‐bin Wu, Zhen‐han Lai   +4 more
wiley   +1 more source

A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis. [PDF]

Sci Rep
Hu Q, Peng Y, Zheng Z.
europepmc   +1 more source

Accuracy of Key Sonographic Markers for Juxta‐Articular Fractures

Journal of Ultrasound in Medicine, EarlyView.
Objectives To systematically evaluate sonographic features of long bone juxta‐articular fractures and identify key diagnostic predictors using machine learning‐based feature selection. Methods This prospective single‐center diagnostic accuracy study enrolled 121 patients with clinically suspected juxta‐articular fractures.
Xiaofang Fu, Lirong Liu, Hao Sun, Changqin Sun, Qinhan Yang, Mengjie Dou, Duo Shi, Junpu Hu, Zhiming He, Guangquan Zhou, Shiyu Jin, Faqin Lv   +11 more
wiley   +1 more source

Integrating Machine Learning and SHAP Analysis to Advance the Rational Design of Benzothiadiazole Derivatives with Tailored Photophysical Properties. [PDF]

J Chem Inf Model
Veríssimo RF, Matias PHF, Barbosa MR, Neto FOS, Neto BAD, de Oliveira HCB.   +5 more
europepmc   +1 more source

Visual Patterns in an Interactive App for Analysis Based on Control Charts and SHAP Values

Iwona Grabska-Gradzinska, Maciej Szelazek, Szymon Bobek, Grzegorz J. Nalepa   +3 more
openaire   +2 more sources

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

Predicting postoperative malnutrition in patients with oral cancer: development of an XGBoost model with SHAP analysis and web-based application. [PDF]

Front Oncol
Kuang L, Yu J, Zhou Y, Zhang Y, Wang G, Zhang F, Lubamba GP, Bi X.   +7 more
europepmc   +1 more source

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov, Kenan Toprak, Sibel Turedi, İsmail Koyuncu, Zulkif Tanrıverdi, Necip Fazıl Dedeoglu, Halil Fedai, Asuman Bicer, İbrahim Halil Altıparmak, Recep Demirbag, Gencay Sarıısık   +10 more
wiley   +1 more source

Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis. [PDF]

Front Neurol
He M, Lu Z, Lv Y, Cheng Z, Zhang Q, Jin X, Han P.   +6 more
europepmc   +1 more source

Predicting honest behavior based on Eysenck personality traits and gender: an explainable machine learning study using SHAP analysis. [PDF]

Front Psychol
Meng Y, Peng Z, Zhang Z, Chen Q, Huang H, Chen Y, Zhao M.   +6 more
europepmc   +1 more source