Virtual screening of cytochrome P450 2A6 inhibitors from traditional Chinese medicine using support vector machine and molecular docking

Machine learning for predictive data analytics in medicine: A review illustrated by cardiovascular and nuclear medicine examples

“…In medicine, predictive data analytics is a crucial challenge to improve the diagnosis and the monitoring of patients. Machine learning for predictive data analytics in medicine is now used in many fields: oncology (Adegoke et al., 2017; Ammad‐Ud‐Din et al., 2017; Armero et al., 2016; Borisov et al., 2017; Coley et al., 2017; Hoogendoorn et al., 2016; Kim & Cho, 2015; Nagarajan & Upreti, 2017; Schwartzi et al., 2015), neurology (Ertuğrul et al., 2016; Jeon et al., 2017; Khan et al., 2014; Kim et al., 2015; Kramer et al., 2017; Tripoliti et al., 2013; Xia et al., 2015; Yuvaraj et al., 2014), geriatric (Deschamps et al., 2016; Fabris et al., 2016; Ivascu et al., 2017; Kabeshova et al., 2016); Wan et al., 2015), epidemiology (Khanna & Sharma, 2018; Modu et al., 2017; Wang et al., 2016), pharmacology (Bakal et al., 2018; Bendtsen et al., 2017; Huang et al., 2017; Luo et al., 2015; Oztaner et al., 2015), … (Alghamdi et al., 2016; Delibašić et al., 2018; Hu et al., 2017; Jarmulski et al., 2018; Jing et al., 2016; Montoye et al., 2017; Oztekin et al., 2018; Saleh et al., 2017; Sanz et al., 2017).…”