An algorithm based on deep learning for predicting in‐hospital cardiac arrest
Background In‐hospital cardiac arrest is a major burden to public health, which affects patient
safety. Although traditional track‐and‐trigger systems are used to predict cardiac arrest …
safety. Although traditional track‐and‐trigger systems are used to predict cardiac arrest …
Masculinization of genetic female Nile tilapia (Oreochromis niloticus) by dietary administration of an aromatase inhibitor during sexual differentiation
JY Kwon, V Haghpanah… - Journal of …, 2000 - Wiley Online Library
A series of experiments was carried out in which genetically female Nile tilapia (Oreochromis
niloticus) fry were treated with Fadrozole, a nonsteroidal aromatase inhibitor (AI), in the diet …
niloticus) fry were treated with Fadrozole, a nonsteroidal aromatase inhibitor (AI), in the diet …
Deep learning–based algorithm for detecting aortic stenosis using electrocardiography
Background Severe, symptomatic aortic stenosis ( AS ) is associated with poor prognoses.
However, early detection of AS is difficult because of the long asymptomatic period …
However, early detection of AS is difficult because of the long asymptomatic period …
Biomineralized N-Doped CNT/TiO2 Core/Shell Nanowires for Visible Light Photocatalysis
We report an efficient and environmentally benign biomimetic mineralization of TiO 2 at the
graphitic carbon surface, which successfully created an ideal TiO 2 /carbon hybrid structure …
graphitic carbon surface, which successfully created an ideal TiO 2 /carbon hybrid structure …
Cloning of brain aromatase gene and expression of brain and ovarian aromatase genes during sexual differentiation in genetic male and female Nile tilapia …
JY Kwon, BJ McAndrew… - Molecular Reproduction …, 2001 - Wiley Online Library
A brain aromatase gene was identified from the Nile tilapia Oreochromis niloticus. The cDNA
sequence of this gene differed from that of the ovarian aromatase gene previously reported …
sequence of this gene differed from that of the ovarian aromatase gene previously reported …
[HTML][HTML] Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography
Rapid diagnosis of myocardial infarction (MI) using electrocardiography (ECG) is the cornerstone
of effective treatment and prevention of mortality; however, conventional interpretation …
of effective treatment and prevention of mortality; however, conventional interpretation …
Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram
Introduction Early detection and intervention of atrial fibrillation (AF) is a cornerstone for effective
treatment and prevention of mortality. Diverse deep learning models (DLMs) have been …
treatment and prevention of mortality. Diverse deep learning models (DLMs) have been …
[HTML][HTML] Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
Aims This study aimed to develop and validate deep-learning-based artificial intelligence
algorithm for predicting mortality of AHF (DAHF). Methods and results 12,654 dataset from …
algorithm for predicting mortality of AHF (DAHF). Methods and results 12,654 dataset from …
[HTML][HTML] A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study
Background Anaemia is an important health-care burden globally, and screening for
anaemia is crucial to prevent multi-organ injury, irreversible complications, and life-threatening …
anaemia is crucial to prevent multi-organ injury, irreversible complications, and life-threatening …
A beneficial coculture: charm abalone Haliotis discus hannai and sea cucumber Stichopus japonicus
KH Kang, JY Kwon, YM Kim - Aquaculture, 2003 - Elsevier
Juvenile charm abalone Haliotis discus hannai (0.35±0.12 g) and sea cumber Stichopus
japonicus (5.0±1.2 g) were cocultured in a static culture system for 90 days during the …
japonicus (5.0±1.2 g) were cocultured in a static culture system for 90 days during the …