问题描述：
医学翻译
The results showed that 93.7% (136 of 145 episodes) of infec- tions due to isolates with fluconazole MICs 2 mg/liter re- sponded to fluconazole treatment. A response of 66% (8 of 12 episodes) was observed when the infections were caused by isolates with a fluconazole MIC of 4 mg/liter and a response of
11.8% (12 of 101 episodes) when the infection was caused by isolates with a fluconazole MIC 4 mg/liter. Clinical outcome data used for setting breakpoints have usually been analyzed following the 90-60 rule (10). This rule states that infections due to susceptible isolates respond to therapy approximately
90% of the time, whereas infections due to resistant isolates respond approximately 60% of the time. However, data mining tools have been developed that allow better analysis and inter- pretation of the data. An extraordinary development in con- temporary computer science is the introduction and applica- tion of methods of machine learning. These enable a computer program to analyze automatically a large body of data and decide what information is most relevant. This information can then be used to make decisions faster and more accurately. Machine learning tools for data mining tasks contain imple- mentations of most of the algorithms for supervised classifica- tion such as decision trees, rule sets, Bayesian classifiers, sup- port vector machines, logistic and linear regression, multilayer perceptrons, and nearest-neighbor methods, as well as met- alearner methods such as bagging, boosting, and stacking. Ma- chine learning models are supported by complex statistical analyses that include such performance measures as sensitivity,
The results showed that 93.7% (136 of 145 episodes) of infec- tions due to isolates with fluconazole MICs 2 mg/liter re- sponded to fluconazole treatment. A response of 66% (8 of 12 episodes) was observed when the infections were caused by isolates with a fluconazole MIC of 4 mg/liter and a response of
11.8% (12 of 101 episodes) when the infection was caused by isolates with a fluconazole MIC 4 mg/liter. Clinical outcome data used for setting breakpoints have usually been analyzed following the 90-60 rule (10). This rule states that infections due to susceptible isolates respond to therapy approximately
90% of the time, whereas infections due to resistant isolates respond approximately 60% of the time. However, data mining tools have been developed that allow better analysis and inter- pretation of the data. An extraordinary development in con- temporary computer science is the introduction and applica- tion of methods of machine learning. These enable a computer program to analyze automatically a large body of data and decide what information is most relevant. This information can then be used to make decisions faster and more accurately. Machine learning tools for data mining tasks contain imple- mentations of most of the algorithms for supervised classifica- tion such as decision trees, rule sets, Bayesian classifiers, sup- port vector machines, logistic and linear regression, multilayer perceptrons, and nearest-neighbor methods, as well as met- alearner methods such as bagging, boosting, and stacking. Ma- chine learning models are supported by complex statistical analyses that include such performance measures as sensitivity,
问题解答：
我来补答展开全文阅读