Results 141 to 150 of about 36,558 (266)

Machine Learning-Based Pitting Rate Classification and Prediction for 316L Stainless Steel in NaClO₃ and NaCl Environment. [PDF]

Materials (Basel)
Zhang C, Yao J, Zhang Z.
europepmc   +1 more source

Personalized machine learning prediction of next‐day migraine persistence using digital headache diary data

Headache: The Journal of Head and Face Pain, EarlyView.
Abstract Objectives/Background Migraine is a disabling neurological disorder with substantial interindividual variability. Predicting whether an ongoing migraine attack will persist into the following day remains challenging. We evaluated the feasibility and predictive performance of personalized machine learning models for predicting next‐day migraine
Ya‐Hsiu Tsai, Chen‐Lin Chiou, Jun‐Jun Lee, Chun‐Ming Yang, Kao‐Chang Lin, Tain‐Junn Cheng, Ja‐Hwung Su, Cheng‐Hsin Chuang   +7 more
wiley   +1 more source

Machine learning performance for a small dataset: random oversampling improves data imbalances and fairness. [PDF]

BMC Med Res Methodol
Wang L, Shi E, Meyers B, Vlachos P, Tcheng J, Denardo S.   +5 more
europepmc   +1 more source

Comparing deep learning models for butterfly and moth (Lepidoptera) species identification

Insect Conservation and Diversity, EarlyView.
Deep learning models open new possibilities for the processing of image‐based species records. We used high‐performance computing to compare 40 models for butterfly and moth species identification based on a citizen science dataset with over 500,000 images of 162 species.
Friederike Barkmann, Andreas Lindner, Johannes Rüdisser   +2 more
wiley   +1 more source

GBC-AST: a cluster-based oversampling method for heart failure prediction in imbalanced medical data sets. [PDF]

BMC Med Inform Decis Mak
Shahee SA.
europepmc   +1 more source

Machine Learning‐Based Prediction of Dental Caries in 12‐Year‐Old Adolescents: A Nationwide Cross‐Sectional Study in Korea

International Journal of Dental Hygiene, EarlyView.
ABSTRACT Objective We aimed to develop and evaluate machine learning models to support population‐level risk stratification for dental caries in the permanent dentition of 12‐year‐old Korean children and to visualise the relative importance of key predictors.
Gahyun Cho, Hae‐Young Kim, Ki‐Bong Choi, Sunmi Song, Junesun Kim   +4 more
wiley   +1 more source

Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study. [PDF]

JMIR AI
Handayani VW, Margaretha Amiatun Ruth MS, Rulaningtyas R, Kurniawan A, Yudhantorro BA, Yudianto A.   +5 more
europepmc   +1 more source

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

International Endodontic Journal, EarlyView.
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas, Ingrid Luiza Mendonça Cunha, Thalita de Paris Matos, Flares Baratto‐Filho, Bianca Marques de Mattos de Araujo, Manoel Damião Sousa‐Neto, Leandro de Moura Martins, Fernando José Herkrath, Emílio Carlos Sponchiado‐Júnior, Cristiano Miranda de Araujo   +9 more
wiley   +1 more source

Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty. [PDF]

Sci Data
Xia H, Wang D, Yang X, Li X, Zhu L, Lu T, Song Z, Mo Y, Yan C, Pu D, Zuo X, Sun W, Wang J, Gu X.   +13 more
europepmc   +1 more source

Circadian Deregulation in Multiple Myeloma: BMAL1/CLOCK Expression Patterns and Diagnostic Performance

International Journal of Laboratory Hematology, EarlyView.
ABSTRACT Background Circadian clock disruption has emerged as a relevant axis in cancer; however, the expression patterns and diagnostic relevance of BMAL1 and CLOCK in multiple myeloma (MM) remain insufficiently defined. Methods BMAL1 and CLOCK mRNA expression was quantified by RT‐qPCR in bone marrow samples from 46 newly diagnosed MM patients and 13 ...
Hamide Albayrak, Mustafa Ertan Ay, Anıl Tombak, Kenan Çevik, Özlem İzci Ay, Tuba Kabasakal, Mehmet Emin Erdal   +6 more
wiley   +1 more source