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5. Transferring Knowledge from Text to Predict Disease Onset

Author

Liu, Yun, Chuang, Kun-Ta, Liang, Fu-Wen, Su, Huey-Jen, Stultz, Collin M., and Guttag, John V.

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language
Abstract

In many domains such as medicine, training data is in short supply. In such cases, external knowledge is often helpful in building predictive models. We propose a novel method to incorporate publicly available domain expertise to build accurate models. Specifically, we use word2vec models trained on a domain-specific corpus to estimate the relevance of each feature's text description to the prediction problem. We use these relevance estimates to rescale the features, causing more important features to experience weaker regularization. We apply our method to predict the onset of five chronic diseases in the next five years in two genders and two age groups. Our rescaling approach improves the accuracy of the model, particularly when there are few positive examples. Furthermore, our method selects 60% fewer features, easing interpretation by physicians. Our method is applicable to other domains where feature and outcome descriptions are available., Comment: Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA

Published
2016

14. The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method

Author

Wang Wan-Ru, Chen Hsiu-Ling, and Su Huey-Jen

Subjects
Environmental sciences, GE1-350
Abstract

The measurements of temporal change to indoor contaminant concentrations are critical to understanding pollution characteristics. As commercial sensors are becoming increasingly commonplace, concentration accuracy is still a critical issue. The most common methods for measuring indoor particulate pollutants based on filter-based gravimetric methods. However, the gravimetric method is expensive, time-consuming, and often provides little temporal information. More and more commercial sensors are utilized to collect larger and temporal information about indoor air pollutants. Nevertheless, limited data support the accuracy of commercial sensors so far. Thus, this study aims to evaluate the performance of commercial sensors. PM2.5 were collected for 30 days by personal environmental monitors with an airflow of 2 L/min on 37-mm Teflon filters and commercial sensors, simultaneously in a three-story house. Moreover, the intra-sensor comparison was conducted for 24 hours by the resolution in 1 minute. Finally, the linear regression model was built to adjust commercial sensors. The intra-sensor comparison results revealed that 24 hours average coefficient of variation (CV value) of PM2.5 in this study were under 10% and the R2 of the adjusted equation was 0.9394. We provide an accurate concentration of commercial sensors to estimate the association between pollutants exposure and health.

Published
2023
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19. Anti‐influenza A (H1N1) virus effect of gallic acid through inhibition of virulent protein production and association with autophagy.

Author

Chang, Cheng‐Chieh, You, Huey‐Ling, Su, Huey‐Jen, Hung, I‐Ling, Kao, Chao‐Wei, and Huang, Sheng‐Teng

Subjects
GALLIC acid, INFLUENZA A virus, H1N1 subtype, H1N1 influenza, AUTOPHAGY, WESTERN immunoblotting
Abstract

Influenza remains one of the most serious infectious diseases. Gallic acid is one of the most common and representative phenolic acids found in various plants. This is an interesting subject to explore how gallic acid could inhibit H1N1 influenza virus infection by reducing the production of virulent proteins and interrupting autophagy machinery for influenza virus replication on the host cell. Cellular viability was assessed by XTT assay. The inhibitory effects on the H1N1 influenza virus were assessed by hemagglutination assay, plaque assay, and qRT‐PCR. Western blot analysis was used for detecting protein levels of M1, M2, NP, LC3B, and beclin‐1. Autophagy activity was demonstrated by acridine orange staining assay. The result demonstrated that there was no cytotoxic effect of gallic acid on A549 cells, and gallic acid could restore the cellular viability of H1N1 influenza virus‐infected A549 cells within the experimental concentration treatment. Moreover, gallic acid could effectively restrain viral activity of the H1N1 influenza virus. After the treatment of gallic acid, the production of virulent H1N1 influenza virus proteins, that is, M1, M2, and NP protein were reduced. As for autophagic mechanism, both of the LC3B II conversion and the level ratio of LC3B II to LC3B I were notably decreased. The acridine orange staining assay also revealed decreased accumulation of autophagosomes in H1N1 influenza virus‐infected cells. In conclusion, gallic acid suppresses H1N1 influenza viral infectivity through restoration of autophagy pathway and inhibition of virulent M1, M2, and NP protein production. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Novel Aporphine- and Proaporphine–Clerodane Hybrids Identified from the Barks of Taiwanese Polyalthia longifolia (Sonn.) Thwaites var. pendula with Strong Anti-DENV2 Activity

Author

Lo, I-Wen, primary, Liao, Geng-You, additional, Lee, Jin-Ching, additional, Chang, Chi-I, additional, Wu, Yang-Chang, additional, Chen, Yen-Yu, additional, Liu, Shang-Pin, additional, Su, Huey-Jen, additional, Liu, Chih-I, additional, Kuo, Chia-Yi, additional, Lin, Zheng-Yu, additional, Li, Tsung-Lin, additional, Lin, Yun-Sheng, additional, and Liaw, Chia-Ching, additional

Published
2022
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44. Climate, Traffic-Related Air Pollutants, and Asthma Prevalence in Middle-School Children in Taiwan

Author

Guo, Yueliang Leon, Lin, Ying-Chu, Sung, Fung-Chang, Huang, Song-Lih, Ko, Ying-Chin, Lai, Jin-Shoung, Su, Huey-Jen, Shaw, Cheng-Kuang, Lin, Ruey-Shiung, and Dockery, Douglas W.

Subjects
Air pollution -- Health aspects, Smog -- Taiwan, Asthma in children -- Research, Taiwan -- Environmental aspects
Abstract

The author examines the relationship between air pollution and asthma in Taiwanese middle-school children. Topics include definitions of asthma, study standards, and climate factors.

Published
1999

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