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| 1 | Deep-learning-based inverse design model for intelligent discovery of organic molecules显示文摘The discovery of high-performance functional materials is crucial for overcoming technical issues in modern industries.Extensive efforts have been devoted toward accelerating and facilitating this process,not only experimentally but also from the viewpoint of materials design.Recently,machine learning has attracted considerable attention,as it can provide rational guidelines for efficient material exploration without time-consuming iterations or prior human knowledge.In this regard,here we develop an inverse design model based on a deep encoder-decoder architecture for targeted molecular design.Inspired by neural machine language translation,the deep neural network encoder extracts hidden features between molecular structures and their material properties,while the recurrent neural network decoder reconstructs the extracted features into new molecular structures having the target properties.In material design tasks,the proposed fully data-driven methodology successfully learned design rules from the given databases and generated promising light-absorbing molecules and host materials for a phosphorescent organic light-emitting diode by creating new ligands and combinatorial rules. | Kyungdoc Kim Seokho Kang Jiho Yoo Youngchun Kwon Youngmin Nam Dongseon Lee Inkoo Kim Youn-Suk Choi Yongsik Jung Sangmo Kim Won-Joon Son Jhunmo Son Hyo Sug Lee Sunghan Kim Jaikwang Shin Sungwoo Hwang | 2018 | npj Computational Materials2018，，1： | 4 |
| 2 | Use of Normal Tissue Complication Probability Models in the Clinic显示文摘 | Lawrence B. Marks Ellen D. Yorke Andrew Jackson Randall K. Ten Haken Louis S. Constine Avraham Eisbruch S?ren M. Bentzen Jiho Nam Joseph O. Deasy | 2010 | International Journal of Radiation Oncology Biology Physics2010，，3： | 1 |
| 3 | Fractionated wide-field radiation therapy followed by fractionated local-field Irradiation for treating widespread painful bone metastasis显示文摘 | Yongkan Ki Wontaek Kim Jiho Nam | 2011 | International Jour- nal of Radiation Oncology2011，79，1： | 1 |
| 4 | Fractionated wide-field radiation therapy followed by fractionated local-field Irradiation for treating widespread painful bone metastasis 显示文摘 | Yongkan Ki Wontaek Kim Jiho Nam | 2011 | International Journal of Radiation Oncology2011，79，1： | 1 |
| 5 | Local failure after complete resection of N0–1 non-small cell lung cancer显示文摘 | Mert Saynak Nirmal K. Veeramachaneni Jessica L. Hubbs Jiho Nam Bahjat F. Qaqish Janet E. Bailey Wonil Chung Lawrence B. Marks | 2010 | Lung Cancer2010，，： | 1 |
| 6 | Radiation Dose-Volume Effects in the Esophagus显示文摘 | Maria Werner-Wasik Ellen Yorke Joseph Deasy Jiho Nam Lawrence B. Marks | 2010 | International Journal of Radiation Oncology Biology Physics2010，，3： | 1 |
| 7 | Radiation Dose-Volume Effects in the Esophagus显示文摘 | Maria Werner-Wasik Ellen Yorke Joseph Deasy Jiho Nam Lawrence B. Marks | 2010 | International Journal of Radiation Oncology, Biology, Physics2010，，3： | 1 |
| 8 | Use of Normal Tissue Complication Probability Models in the Clinic显示文摘 | Lawrence B. Marks Ellen D. Yorke Andrew Jackson Randall K. Ten Haken Louis S. Constine Avraham Eisbruch S?ren M. Bentzen Jiho Nam Joseph O. Deasy | 2010 | International Journal of Radiation Oncology Biology Physics2010，，3： | 1 |
| 9 | Fractionated wide - field radiation therapy followed by fractionated local - rield irradiation for treating widespread painful bone metastasis 显示文摘 | Yongkan Ki Wontaek Kim Jiho Nam | 2011 | Int J Radiat Oncol2011，79，1： | 1 |
| 10 | Prediction of Cold and Heat Patterns Using Anthropometric Measures Based on Machine Learning显示文摘Objective: To examine the association of body shape with cold and heat patterns, to determine which anthropometric measure is the best indicator for discriminating between the two patterns, and to investigate whether using a combination of measures can improve the predictive power to diagnose these patterns. Methods: Based on a total of 4,859 subjects(3,000 women and 1,859 men), statistical analyses using binary logistic regression were performed to assess the significance of the difference and the predictive power of each anthropometric measure, and binary logistic regression and Naive Bayes with the variable selection technique were used to assess the improvement in the predictive power of the patterns using the combined measures. Results: In women, the strongest indicators for determining the cold and heat patterns among anthropometric measures were body mass index(BMI) and rib circumference; in men, the best indicator was BMI. In experiments using a combination of measures, the values of the area under the receiver operating characteristic curve in women were 0.776 by Naive Bayes and 0.772 by logistic regression, and the values in men were 0.788 by Naive Bayes and 0.779 by logistic regression. Conclusions: Individuals with a higher BMI have a tendency toward a heat pattern in both women and men. The use of a combination of anthropometric measures can slightly improve the diagnostic accuracy. Our findings can provide fundamental information for the diagnosis of cold and heat patterns based on body shape for personalized medicine. | Bum Ju Lee Jae Chul Lee Jiho Nam Jong Yeol Kim | 2018 | Chinese Journal of Integrative Medicine2018，24，1： | 0 |
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