In patients with acute ischaemic stroke due to anterior-circulation large-vessel occlusion achieving successful reperfusion, ...
Abstract: Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID-19 ...
Abstract: Self-supervised learning has demonstrated considerable success in hyperspectral image (HSI) classification when limited labeled data are available. However, inherent dissimilarities among ...
Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...
We present a middle childhood boy with type 1b diabetes mellitus (defined as insulin-dependent diabetes mellitus without ...
Background/Aims The aim of this study was to identify specific MRI characteristics of anterior ischaemic optic neuropathy (AION) and optic neuritis (ON) that would aid in the differentiation between ...
Background and objective Speech disorders are a common presenting concern to paediatricians. Yet evidence to guide detection and speech sound therapy referral of cases at risk for persistent speech ...
week 2 week 3 week 4 (Introduction to Classification) Supervised_Learning_Hands_On_Classification (1).ipynb Week 5 - Cara Kerja KNN.pdf Week 5 - Cara Kerja KNN.xlsx Week 5 - Introduction to ...
DecodeLabs-Project-2 Fraud Detection Pipeline is a supervised machine learning project that detects fraudulent financial transactions in highly imbalanced datasets. It uses SMOTE for data balancing, ...
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