… such as machine learning, which makes people′s understanding of nutritional metabolic
disorders under … This paper reviews the data preparation and algorithm selection methods of …

… patients constructed by machine learning. The search period … Critical apr praisal and data
extraction for systematic reviews … thromboembolism after weight loss surgery:an analysis of the …

… for gastric cancer and colorectal cancer were included in this … used to establish an artificial
intelligence-based nomogram prediction … -B’ based on machine learning algorithm to predict …

… to perform general literature analysis, co-citation of literature, co-… analysis showed that deep
learning and artificial intelligence … Acute cardiorespiratory and metabolic responses during …

… and application of artificial intelligence in … machine learning, ML)也被广泛应用在医学领域
,如随机森林(random forest, RF),支持向量机(support vector machine, SVM),人工神经网络(artificial …

… agents, and the integration of artificial intelligence. Significant … : a systematic analysis for the
global burden of disease study … PET/CT using a deep learning convolutional neural network[J…

… in this study was 1913. We present the annual publication and introduction of artificial
intelligence in … Conclusion: This study systematically summa-rizes the current status and trends of …

… future prospects of machine learning technology in … machine learning technology in predicting
the benign/ malignant nature of breast cancer was analyzed. Subsequently, deep learning …

… structure, function and metabolism of diseases, pathology is the … pathology using weakly
supervised deep learning on whole … Systematic analysis of breast cancer morphology uncovers …

… This article presents a systematic introduction to the development of information
technology, especially the processing of pulse and tongue images and systems of computer-aided …