Results 191 to 200 of about 40,856 (264)

The Impact of Assessing Patients' Sense of Security on Nurses' Intent to Report Safety Events: A Factorial Survey Experiment

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims To evaluate whether information about patients' poor sense of security in hypothetical vignette scenarios increases nurses' projected intent to report safety events. Design Quantitative, cross‐sectional factorial survey vignette experiment administered online.
Patricia S. Groves, Yelena Perkhounkova, Maria Hein, Peter James Abad   +3 more
wiley   +1 more source

A CNN-GRU framework for stroke-heart attack prediction using IMOWPA-tuned SMOTE and LZMA compression. [PDF]

Digit Health
Maheswari V U, Kumar B S, Aluvalu R, Kumar Ka J, Sekaran K, Mousavirad SJ, Tejani GG.   +6 more
europepmc   +1 more source

Role of a Deep‐Learning Based Convolutional Neural Network Model for Real‐Time Ventricular Tachycardia Alarm Classification

Journal of Cardiovascular Electrophysiology, EarlyView.
Our manuscript discusses the role of a Convolutional Neural network based Deep‐learning model for the classification of ventricular tachycardia alarms. Our algorithm based on input from multiple raw waveform inputs, including electrocardiogram leads, photoplethysmogram, and arterial blood pressure signals achieved a good degree of accuracy and ...
Unmesh Khanolkar, Ashish Yadav, Avdhesh Mann, Scott Pappada, Abhishek Deshmukh, Abhishek Maan   +5 more
wiley   +1 more source

Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation.

JMIR Med Inform
Chen YW, Sung SF, Hu YH, Yang YH.
europepmc   +1 more source

Enhanced Gas Classification in Electronic Nose Systems Using an SMOTE-Augmented Machine Learning Framework. [PDF]

Sensors (Basel)
Li M, Wu C, Wang Z, Wu Z, Huang W, Chen J, Yu K, Wen T, Yin H, Wang Z.   +9 more
europepmc   +1 more source

A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus

Journal of Diabetes Investigation, EarlyView.
ABSTRACT Background Diabetes distress is common in patients with type 1 diabetes mellitus (T1DM). The aim of this study was to construct and validate prediction models for diabetes distress in adults with T1DM using continuous glucose monitoring (CGM) metrics. Methods The CGM metrics were collected from 259 adults with T1DM.
Naoki Sakane, Yushi Hirota, Akane Yamamoto, Junnosuke Miura, Hiroko Takaike, Sari Hoshina, Masao Toyoda, Nobumichi Saito, Kiminori Hosoda, Masaki Matsubara, Atsuhito Tone, Satoshi Kawashima, Hideaki Sawaki, Tomokazu Matsuda, Masayuki Domichi, Akiko Suganuma, Seiko Sakane, Takashi Murata   +17 more
wiley   +1 more source

The role of cognitive function in predicting metabolic risk in schizophrenia: a multi-model comparison incorporating clinical features. [PDF]

Front Psychiatry
Li R, Ren X, Jiang T, Huo J, Ping J, Zhu S, Luo A.   +6 more
europepmc   +1 more source

Enhanced exonuclease–Cas9 systems promote multiple nucleotide deletions with higher efficiency and broader targeting scope in plants

Journal of Integrative Plant Biology, EarlyView.
Cas9 preferentially generates small indels. By tethering an exonuclease and a DNA‐binding domain (DBD) to Cas9, the Exo‐DBD‐Cas9 system efficiently promotes multiple nucleotide deletions. These expanded deletions enable effective disruption of miRNA‐mediated regulation and relieve translational repression through targeted editing of 3′ untranslated ...
Rui Zhang, Xu Tang, Yao He, Wei Wang, Qiurong Ren, Yiping Qi, Yong Zhang   +6 more
wiley   +1 more source