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Cluster Analysis of the Associations among Physical Frailty, Cognitive Impairment and Mental Disorders.
In Medical science monitor : international medical journal of experimental and clinical research
Majnarić Ljiljana Trtica, Bekić Sanja, Babič František, Pusztová Ľudmila, Paralič Ján
In Journal of neurology, neurosurgery, and psychiatry
Goutman Stephen A, Boss Jonathan, Guo Kai, Alakwaa Fadhl M, Patterson Adam, Kim Sehee, Savelieff Masha Georges, Hur Junguk, Feldman Eva L
Artificial Intelligence in Global Ophthalmology: Using Machine Learning to Improve Cataract Surgery Outcomes at Ethiopian Outreaches.
In Journal of cataract and refractive surgery
Brant Arthur R, Hinkle John, Shi Siyu, Hess Olivia, Zubair Talhah, Pershing Suzann, Tabin Geoffrey C
Multiplexed Plasma Immune Mediator Signatures Can Differentiate Sepsis From NonInfective SIRS: American Surgical Association 2020 Annual Meeting Paper.
In Annals of surgery ; h5-index 104.0
Cahill Laura A, Joughin Brian A, Kwon Woon Yong, Itagaki Kiyoshi, Kirk Charlotte H, Shapiro Nathan I, Otterbein Leo E, Yaffe Michael B, Lederer James A, Hauser Carl J
Machine learning for nocturnal mass diagnosis of atrial fibrillation in a population at risk of sleep-disordered breathing.
In Physiological measurement ; h5-index 36.0
MAIN RESULTS :
Chocron Armand, Efraim Roi, Mandel Franck, Rueschman Michael, Palmius Niclas, Penzel Thomas, Elbaz Meyer, Behar Joachim
atrial fibrillation, digital biomarkers, machine learning, medicine during sleep, obstructive sleep apnea
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
Yildirim Ozal, Talo Muhammed, Ciaccio Edward J, Tan Ru San, Acharya U Rajendra
12-lead ECG, Arrhythmia detection, Deep neural networks, Ecg signals