Results 181 to 190 of about 3,187,155 (299)

GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, Nouf Abdullah Almujally, Muhammad Aslam, Syeda Fizzah Jilani   +5 more
wiley   +1 more source

Spatial Decomposition of Eddy Covariance Fluxes: The FLUGS Framework. [PDF]

Glob Chang Biol
Schlutow M, Chew R, Göckede M.
europepmc   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

Machine-Learning Predictions of Photoluminescence in Molecules Exhibiting Thermally Activated Delayed Fluorescence with Implicit Experimental Validation. [PDF]

J Chem Inf Model
Huang D, Cole JM.
europepmc   +1 more source

[A.E. Ridge Letter to Brother (John Rollin Ridge?), 1857 June 18]

Handwritten letter from A.E.
Ridge, A.E.
core  

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques

Health Care Science, EarlyView.
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley   +1 more source

Assessing the Need for Mental Health Support From Free-Text Responses: Development and Validation of Language-Based Assessments in Adults With Internalizing Symptoms. [PDF]

JMIR Ment Health
Wiebel C, Eijsbroek VC, Varadarajan V, Kjell K, Schwartz HA, Kjell O.   +5 more
europepmc   +1 more source

Safe Omission of Postoperative Neck Irradiation in Selected pN0 Patients With Locally Advanced Oral Cavity Squamous Cell Carcinoma

Head &Neck, EarlyView.
ABSTRACT Background Postoperative radiotherapy is the standard treatment for locally advanced oral squamous cell carcinoma (OSCC); however, the indication for neck irradiation (NI) in pN0 patients remains debatable. We evaluated whether the omission of NI compromises outcomes in pT3–T4 pN0 patients treated with adequate neck dissection (ND).
Mathilde Mirallié, Anouchka Modesto, Marie Pajiep, Sébastien Vergez, Jérôme Sarini, Lucie Piram, Céline Dalmasso, Benjamin Vairel, Emilien Chabrillac, Agnès Dupret‐Bories   +9 more
wiley   +1 more source

Rare variant effect estimation and polygenic risk prediction. [PDF]

Nat Genet
Nam K, Kho M, Zhou W, Mukherjee B, Lee S.   +4 more
europepmc   +1 more source

Predicting Oral Cancer From Precursor Lesions: The Case for a Standardized Framework of Analysis to Improve Prediction Modeling

Head &Neck, EarlyView.
ABSTRACT Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunity for early detection. Current methods to assess risk of precursor lesion progression to oral cancer incompletely predict risk. A multimodal framework that leverages machine learning is needed to improve prediction.
Michael E. Troka, James C. Gates
wiley   +1 more source