Source: Bräuner , K B , Tsouchnika , A , Mashkoor , M , Williams , R , Rosen , A W , Hartwig , M F S , Bulut , M , Dohrn , N , Rijnbeek , P & Gögenur , I 2024 , ' Prediction of 30-day, 90-day, and 1-year

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Academic Journal

Machine learning for predicting shallow groundwater levels in urban areas

Authors : LaBianca, Ane; Koch, Julian; Jensen, Karsten Høgh

Subjects: CatBoost; Machine learning; SHAP

Source: LaBianca , A , Koch , J , Jensen , K H , Sonnenborg , T O & Kidmose , J 2024 , ' Machine learning for predicting shallow groundwater levels in urban areas ' , Journal of

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Academic Journal

Machine-Learning-Assisted Leak Detection Using Distributed Temperature and Acoustic Sensors

Authors : Gemeinhardt, Hayden; Sharma, Jyotsna

Subjects: Distributed fiber-optic sensing; image segmentation; leak detection

Source: Gemeinhardt , H & Sharma , J 2024 , ' Machine-Learning-Assisted Leak Detection Using Distributed Temperature and Acoustic Sensors ' , IEEE

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Academic Journal

Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau:Exploratory and Validation Cohort Study

Authors : Rieckmann, Andreas; Nielsen, Sebastian; Dworzynski, Piotr

Subjects: causal discovery; child mortality; Guinea-Bissau

Source: Rieckmann , A , Nielsen , S , Dworzynski , P , Amini , H , Mogensen , S W , Silva , I B , Chang , A Y , Arah , O A , Samek , W , Rod , N H , Ekstrøm , C T , Benn , C S , Aaby , P & Fisker , A B 2024

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Academic Journal

Refining risk prediction in pediatric acute lymphoblastic leukemia through DNA methylation profiling

Authors : Mosquera Orgueira, Adrián; Krali, Olga; Pérez Míguez, Carlos

Subjects: Artificial intelligence; DNA methylation; Epigenetics

Source: Mosquera Orgueira , A , Krali , O , Pérez Míguez , C , Peleteiro Raíndo , A , Díaz Arias , J Á , González Pérez , M S , Pérez Encinas , M M , Fernández Sanmartín , M , Sinnet , D , Heyman ,

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Academic Journal

Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

Authors : Muse, Victorine P.; Placido, Davide; Haue, Amalie D.

Subjects: Cardiovascular Disease; Diagnostics; Digital Health

Source: Muse , V P , Placido , D , Haue , A D & Brunak , S 2024 , ' Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for

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Academic Journal

Can large language models reason about medical questions?

Authors : Liévin, Valentin; Hother, Christoffer Egeberg; Motzfeldt, Andreas Geert

Subjects: GPT-3.5; large language models; Llama 2

Source: Liévin , V , Hother , C E , Motzfeldt , A G & Winther , O 2024 , ' Can large language models reason about medical questions? ' , Patterns , vol. 5 , no. 3 , 100943 .

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Academic Journal

POMFinder:identifying polyoxometallate cluster structures from pair distribution function data using explainable machine learning

Authors : Anker, Andy S.; Kjær, Emil T.S.; Juelsholt, Mikkel

Subjects: computational modelling; machine learning; polyoxometallate clusters

Source: Anker , A S , Kjær , E T S , Juelsholt , M & Jensen , K M Ø 2024 , ' POMFinder : identifying polyoxometallate cluster structures from pair distribution function data using explainable

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Conference

Detection, identification and clustering of palynomorphs using AI and machine learning

Authors : Stefanowicz, Sissa; Ask, Marianne; Juliani, Cyril

Subjects: /dk/atira/pure/core/keywords/TheFacultyOfScience; Faculty of Science; palynology

Source: Stefanowicz , S , Ask , M , Juliani , C & Lindström , S 2023 , ' Detection, identification and clustering of palynomorphs using AI and machine learning ' , EGU General

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Academic Journal

A machine learning approach for prediction of auditory brain stem response in patients after head-and-neck radiation therapy

Authors : Amiri, Sepideh; Abdolali, Fatemeh; Neshastehriz, Ali

Subjects: Auditory brain stem response; computed tomography; head-and-neck cancer

Source: Amiri , S , Abdolali , F , Neshastehriz , A , Nikoofar , A , Farahani , S , Firoozabadi , L A , Askarabad , Z A & Cheraghi , S 2023 , ' A machine learning approach for

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