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Identification of Latent Risk Clinical Attributes for Children Born Under IUGR Condition Using Machine Learning Techniques.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
Nguyen Van Sau, Lobo Marques J A, Biala T A, Li Ye
ABPM (Ambulatory Blood Pressure Monitoring), HRV (Heart Rate Variability), IUGR (Intrauterine Growth Restriction), Machine Learning
Natural language processing and entrustable professional activity text feedback in surgery: A machine learning model of resident autonomy.
In American journal of surgery
Stahl Christopher C, Jung Sarah A, Rosser Alexandra A, Kraut Aaron S, Schnapp Benjamin H, Westergaard Mary, Hamedani Azita G, Minter Rebecca M, Greenberg Jacob A
Assessment, Entrustable professional activities, Feedback, Natural language processing, Surgery education
Trends and influencing factors of plasma folate levels in Chinese women at mid-pregnancy, late pregnancy, and lactation periods.
In The British journal of nutrition
Zhou Yu-Bo, Si Ke-Yi, Li Hong-Tian, Li Xiu-Cui, Meng Ying, Liu Jian-Meng
China, influencing factor, lactation, late pregnancy, mid-pregnancy, plasma folate
A machine learning-based clinical tool for diagnosing myopathy using multi-cohort microarray expression profiles.
In Journal of translational medicine
MATERIALS AND METHODS :
Tran Andrew, Walsh Chris J, Batt Jane, Dos Santos Claudia C, Hu Pingzhao
Biomarker, Clinical tool, Machine learning, Microarray, Muscle diseases
Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases.
In Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Karimi-Bidhendi Saeed, Arafati Arghavan, Cheng Andrew L, Wu Yilei, Kheradvar Arash, Jafarkhani Hamid
CMR image analysis, Complex CHD analysis, Deep learning, Fully convolutional networks, Generative adversarial networks, Machine learning
Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up.
In BMC medicine ; h5-index 89.0
Johnson Heather, Guo Jinan, Zhang Xuhui, Zhang Heqiu, Simoulis Athanasios, Wu Alan H B, Xia Taolin, Li Fei, Tan Wanlong, Johnson Allan, Dizeyi Nishtman, Abrahamsson Per-Anders, Kenner Lukas, Feng Xiaoyan, Zou Chang, Xiao Kefeng, Persson Jenny L, Chen Lingwu
Clinically significant prostate cancer, Gene Panel, Prostate cancer, Prostate cancer diagnosis, Prostate cancer treatment follow-up, Urine test