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A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea.
In BMC medical informatics and decision making ; h5-index 38.0
Park Jin-Hyeok, Baek Jeong-Heum, Sym Sun Jin, Lee Kang Yoon, Lee Youngho
Chemotherapy recommendation, Colorectal Cancer, Deep learning, Knowledge-based clinical decision support system (CDSS)
Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data.
In BMC genomics ; h5-index 78.0
Xu Da, Zhang Jialin, Xu Hanxiao, Zhang Yusen, Chen Wei, Gao Rui, Dehmer Matthias
Biomarker, Classification, Clustering, Feature selection, Machine learning, Therapeutic target
Improvement on Hypertension Management with Pharmacological and Non-Pharmacological Approaches: Current Perspectives.
In Current pharmaceutical design ; h5-index 57.0
Hong Dongsheng, Shan Wenya
Antihypertensive drugs, artificial intelligence, biotechnology interference, hypertension management, pharmacological approaches\n
A brief history of artificial intelligence and robotic surgery in orthopedics & traumatology and future expectations.
In Joint diseases and related surgery
A Demonstration of Machine Learning in Detecting Frequency Following Responses in American Neonates.
In Perceptual and motor skills
Hart Breanna N, Jeng Fuh-Cherng
auditory electrophysiology, efficiency, frequency following response, machine learning, neonates, random iteration
Predicting Daily Sheltering Arrangements among Youth Experiencing Homelessness Using Diary Measurements Collected by Ecological Momentary Assessment.
In International journal of environmental research and public health ; h5-index 73.0
Suchting Robert, Businelle Michael S, Hwang Stephen W, Padhye Nikhil S, Yang Yijiong, Santa Maria Diane M
daily sleeping arrangement, data science, electronic momentary assessment, machine learning, youth experiencing homelessness