Results 231 to 240 of about 85,695 (269)

Explainable Meta-Learning Ensemble Framework for Predicting Insulin Dose Adjustments in Diabetic Patients: A Comparative Machine Learning Approach with SHAP-Based Clinical Interpretability. [PDF]

Medicina (Kaunas)
Guldogan E, Yagin B, Ucuzal H, Algarni A, Al-Hashem F, Aghaei M.   +5 more
europepmc   +1 more source

Increased Prevalence of Extrathymic Neoplasms in Myasthenia Gravis Patients‐A Population‐Based, Matched Case–Control Study

Muscle &Nerve, EarlyView.
ABSTRACT Introduction/Aims Myasthenia gravis (MG) is associated with thymic neoplasms. However, an increased prevalence of extrathymic neoplasms has also been reported. This study aimed to evaluate the rates of malignancy in MG patients while accounting for risk factors such as disease characteristics and immunomodulatory treatments.
Keshet Pardo, Tasneem Kab, Mark A. Hellmann, Itay Lotan, Tzippy Shochat, Nadav Loebl, Bar Yacobi, Yitzhak Friedman, Leor Perl, Nitai Shimon, Yiska Loewenberg Weisband, Liya Bieber, Eitan Auriel, Adi Wilf‐Yarkoni   +13 more
wiley   +1 more source

Body mass index and diet-related inflammation as predictors of sleep disorders: A cross-sectional study. [PDF]

Medicine (Baltimore)
Bao Y, Liang B, Zhou H, Huang X, Dong Y, Wang R.   +5 more
europepmc   +1 more source

Landscape-socioeconomic feedback mechanisms in Sichuan's river basins. [PDF]

iScience
Shen R, Shu S, Wang Y, Tian Y, Chen W.
europepmc   +1 more source

Privacy and personalisation: predicting Parkinson's disease severity from real-world gait with federated learning. [PDF]

Front Aging Neurosci
Hinchliffe C, Hiden H, Alcock L, Lawson RA, Yarnall AJ, Rochester L, Del Din S, Watson P.   +7 more
europepmc   +1 more source

Bioinspired hybrid optimisation and deep belief neural networks for early chronic kidney disease detection: an explainable clinical AI framework. [PDF]

Ren Fail
Ahmad Z, Obidallah WJ, Shafiq M, Albathan M, Almakki R, Alshaikh Z, Bilal A.   +6 more
europepmc   +1 more source

Novel Sewer Defect Prediction Leveraging Advanced Machine Learning (ML) Models. [PDF]

Water Environ Res
Seng V, Lence BJ, Kshirsagar S, Rangapuram S, Saranguhewa P.   +4 more
europepmc   +1 more source

Application of a machine learning model based on routine clinical parameters for the diagnosis of rheumatoid arthritis with concomitant osteoporosis: a retrospective study. [PDF]

PeerJ
Wu Z, Li Z, Li W, Xiong S.
europepmc   +1 more source