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Identifying knowledge gaps in heart failure research among women using unsupervised machine-learning methods.
In Future cardiology
Alhussain Khalid, Kido Kazuhiko, Dwibedi Nilanjana, LeMasters Traci, Rose Danielle E, Misra Ranjita, Sambamoorthi Usha
2021-Jan-11
heart failure research, postmenopausal women, topic modeling, unsupervised learning, women
Investigating the feasibility of generating dual-energy CT from one 120-kVp CT scan: a phantom study.
In Journal of applied clinical medical physics ; h5-index 28.0
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Huang Wen-Hui, Jhan Kai-Jie, Yang Ching-Ching
2020-Oct-14
deep learning, dual energy CT, pseudo CT

Contemporary training methods in regional anaesthesia: fundamentals and innovations.
In Anaesthesia ; h5-index 53.0
Ramlogan R R, Chuan A, Mariano E R
2021-01
artificial intelligence, competency-based training, medical education, regional anaesthesia, simulation, technology

Automatic Lung Health Screening Using Respiratory Sounds.
In Journal of medical systems ; h5-index 48.0
Mukherjee Himadri, Sreerama Priyanka, Dhar Ankita, Obaidullah Sk Md, Roy Kaushik, Mahmud Mufti, Santosh K C
2021-Jan-11
Healthcare, Lung health, Respiratory infection, Respiratory sound
Non-alcoholic Fatty Liver and Liver Fibrosis Predictive Analytics: Risk Prediction and Machine Learning Techniques for Improved Preventive Medicine.
In Journal of medical systems ; h5-index 48.0
Goldman Orit, Ben-Assuli Ofir, Rogowski Ori, Zeltser David, Shapira Itzhak, Berliner Shlomo, Zelber-Sagi Shira, Shenhar-Tsarfaty Shani
2021-Jan-11
Machine learning, Non-alcoholic fatty liver disease, Predictive analytics, Risk prediction

Big data augmentated business trend identification: the case of mobile commerce.
In Scientometrics
Saritas Ozcan, Bakhtin Pavel, Kuzminov Ilya, Khabirova Elena
2021-Jan-05
COVID-19, Global trends, Horizon scanning, M-commerce, Machine learning, Natural language processing, Tech mining
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