Results 191 to 200 of about 6,305,527 (245)

Machine learning model for predicting neuropathic pain following thoracic oncology surgery. [PDF]

Front Oncol
Zhang Y, Wu S, Zhou M, Pan H, Fan Q, Xie J, Xiao X, Zhang T, Shu J, Luo Y, Ma D, Yang Q.   +11 more
europepmc   +1 more source

Automated Machine Learning Model for the Heart Disease Prediction System

Pallati Sneha, Gottemukkula Harshitha, Ankalapu Pranith Kumar, Potharaju Vikram, P. Jayanthi KODE   +4 more
openalex   +2 more sources

SyMetrics: an integrated machine learning model for evaluating the pathogenicity of synonymous variants in the human genome. [PDF]

NAR Genom Bioinform
Bundalian L, Strnadová MS, Garten F, Horn S, Stenzel U, Popp D, Lemke JR, Biskup S, Schulte B, May P, Bösebeck F, Garten A, Thor D, Schulz A, Hentschel J, Kelso J, Schöneberg T, Le Duc D.   +17 more
europepmc   +1 more source

Pengaruh Model Pembelajaran Discovery Learning terhadap Hasil Belajar Matematika Siswa pada Materi Bangun Ruang Sisi Datar di Kelas VIII SMP PGRI Klis

Engly Gerson Keiwury, Karolina Rupillele
openalex   +2 more sources

Interpretable Machine Learning Model for Survival Prediction in Pediatric Adrenocortical Tumors. [PDF]

J Endocr Soc
Redlich A, Pfaehler E, Kunstreich M, Schmutz M, Slavetinsky C, Jüttner E, Holterhus PM, Warncke G, Vokuhl C, Fuchs J, Wudy SA, Kuhlen M.   +11 more
europepmc   +1 more source

Predictability of radiosurgical outcome in vestibular schwannomas: the current state of MRI-based machine learning prediction models

Stefan Cornelissen
openalex   +1 more source

TSSC: a new deep learning model for accurate pea leaf disease identification. [PDF]

Front Plant Sci
Xu L, Chang Y, Li C, Zhang Y, Yang X, Chen X, Cai Z, Zhao J.   +7 more
europepmc   +1 more source

Towards the accurate modelling of antibody−antigen complexes from sequence using machine learning and information-driven docking

Marco Giulini, Constantin Schneider, Daniel Cutting, Nikita Desai, Charlotte M. Deane, Alexandre M. J. J. Bonvin   +5 more
openalex   +1 more source

Hospital-Wide Sepsis Detection: A Machine Learning Model Based on Prospectively Expert-Validated Cohort. [PDF]

J Clin Med
Borges-Sa M, Giglio A, Aranda M, Socias A, Del Castillo A, Pruenza C, Hernández G, Cerdá S, Socias L, Estrada V, de la Rica R, Martin E, Martin-Loeches I.   +12 more
europepmc   +1 more source