The presence of irrelevant and correlated data points in a Raman spectrum can lead to a decline in classifier performance. We introduce support vector machine （SVM）-based recursive feature elimination into the field...The presence of irrelevant and correlated data points in a Raman spectrum can lead to a decline in classifier performance. We introduce support vector machine （SVM）-based recursive feature elimination into the field of Raman spectroscopy and demonstrate its performance on a data set of spectra of clinically relevant microorganisms in urine samples, along with patient samples. As the original technique is only suitable for two-class problems, we adapt it to the multi-class setting. It is shown that a large amount of spectral points can be removed without degrading the prediction accuracy of the resulting model notably.展开更多
Biophotonics is an emerging multidisciplinary research area, embracing all light-based technologies applied to the life sciences and medicine [1-6]. The expression itself is the combination of the Greek syllables ＂b...Biophotonics is an emerging multidisciplinary research area, embracing all light-based technologies applied to the life sciences and medicine [1-6]. The expression itself is the combination of the Greek syllables ＂bios＂ standing for life and ＂phos＂ standing for light. Photonics is the technical term for all methodologies and technologies utilizing photons over the whole spectrum from X-ray over the ultraviolet, visible and the infrared to the terahertz region, and its interaction with any matter. Beyond this definition, biophotonics is a scientific discipline of remarkable societal importance. As a part of photonics, it has proved to be an important enabling technology for accelerated progress in medicine and biotechnology. It can do so, because it originated at the interface of the most innovative academic disciplines of the last century, i.e., photonics, biotechnology and nanotechnologies. This field of research brings together scientists from different professions, such as physicists, biologists, pharmacists, medical doctors, etc. To work on common projects, they need to understand the ideas and the techniques of their counterparts.展开更多
文摘The presence of irrelevant and correlated data points in a Raman spectrum can lead to a decline in classifier performance. We introduce support vector machine （SVM）-based recursive feature elimination into the field of Raman spectroscopy and demonstrate its performance on a data set of spectra of clinically relevant microorganisms in urine samples, along with patient samples. As the original technique is only suitable for two-class problems, we adapt it to the multi-class setting. It is shown that a large amount of spectral points can be removed without degrading the prediction accuracy of the resulting model notably.
文摘Biophotonics is an emerging multidisciplinary research area, embracing all light-based technologies applied to the life sciences and medicine [1-6]. The expression itself is the combination of the Greek syllables ＂bios＂ standing for life and ＂phos＂ standing for light. Photonics is the technical term for all methodologies and technologies utilizing photons over the whole spectrum from X-ray over the ultraviolet, visible and the infrared to the terahertz region, and its interaction with any matter. Beyond this definition, biophotonics is a scientific discipline of remarkable societal importance. As a part of photonics, it has proved to be an important enabling technology for accelerated progress in medicine and biotechnology. It can do so, because it originated at the interface of the most innovative academic disciplines of the last century, i.e., photonics, biotechnology and nanotechnologies. This field of research brings together scientists from different professions, such as physicists, biologists, pharmacists, medical doctors, etc. To work on common projects, they need to understand the ideas and the techniques of their counterparts.
