However, choosing appropriate statistical methodology when conducting analytical validation (AV) of a DM is complicated, particularly for novel DMs, for which appropriate, established reference ...

In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing (CVDP-DB) ...

Background: Pulmonary arterial hypertension (PAH) and major depressive disorder (MDD) frequently co-occur, worsening morbidity and mortality. The shared genetic and molecular substrates of this ...

Background: Patients with heart failure (HF) have a poor prognosis and continue to pose a global threat to human health. Consequently, it is crucial to employ bioinformatic approaches to analyze ...

1 Department of Critical Care Medicine, The Brain Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China. 2 Department of Respiratory Medicine, The Chest Hospital of Guangxi Zhuang Autonomous ...

#!/usr/bin/python import os from langfuse import Langfuse from urllib.parse import quote # zouding-org os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-xxx" os.environ ...

Abstract: With the rapid development of artificial intelligence, the importance of data quality has become increasingly prominent. The existing data quality assessment methods, such as accuracy, ...

Access to SMAP Validation data sets in the legacy, on-premises archive at the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) will be retired on 17 June 2025. The ...

YoloLint is a Python tool for validating the structure and annotations of YOLO datasets. It helps detect common issues in directories, YAML files, and label files before model training.