Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing最新文献

SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering. 症状图：使用图聚类从叙述性临床笔记中识别症状聚类。

Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing Pub Date : 2023-03-01 Epub Date: 2023-06-07 DOI: 10.1145/3555776.3577685

Fattah Muhammad Tahabi, Susan Storey, Xiao Luo

{"title":"SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering.","authors":"Fattah Muhammad Tahabi, Susan Storey, Xiao Luo","doi":"10.1145/3555776.3577685","DOIUrl":"10.1145/3555776.3577685","url":null,"abstract":"Patients with cancer or other chronic diseases often experience different symptoms before or after treatments. The symptoms could be physical, gastrointestinal, psychological, or cognitive (memory loss), or other types. Previous research focuses on understanding the individual symptoms or symptom correlations by collecting data through symptom surveys and using traditional statistical methods to analyze the symptoms, such as principal component analysis or factor analysis. This research proposes a computational system, SymptomGraph, to identify the symptom clusters in the narrative text of written clinical notes in electronic health records (EHR). SymptomGraph is developed to use a set of natural language processing (NLP) and artificial intelligence (AI) methods to first extract the clinician-documented symptoms from clinical notes. Then, a semantic symptom expression clustering method is used to discover a set of typical symptoms. A symptom graph is built based on the co-occurrences of the symptoms. Finally, a graph clustering algorithm is developed to discover the symptom clusters. Although SymptomGraph is applied to the narrative clinical notes, it can be adapted to analyze symptom survey data. We applied Symptom-Graph on a colorectal cancer patient with and without diabetes (Type 2) data set to detect the patient symptom clusters one year after the chemotherapy. Our results show that SymptomGraph can identify the typical symptom clusters of colorectal cancer patients' post-chemotherapy. The results also show that colorectal cancer patients with diabetes often show more symptoms of peripheral neuropathy, younger patients have mental dysfunctions of alcohol or tobacco abuse, and patients at later cancer stages show more memory loss symptoms. Our system can be generalized to extract and analyze symptom clusters of other chronic diseases or acute diseases like COVID-19.","PeriodicalId":74534,"journal":{"name":"Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing","volume":"2023 ","pages":"518-527"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504685/pdf/nihms-1930528.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10635660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ranking Novel Regulatory Genes in Gene Expression Profiles using NetExpress. 利用NetExpress对基因表达谱中的新调控基因进行排序。

Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing Pub Date : 2017-04-01 DOI: 10.1145/3019612.3021289

Belma Yelbay, Alexander Gow, Hasan M Jamil

{"title":"Ranking Novel Regulatory Genes in Gene Expression Profiles using NetExpress.","authors":"Belma Yelbay, Alexander Gow, Hasan M Jamil","doi":"10.1145/3019612.3021289","DOIUrl":"https://doi.org/10.1145/3019612.3021289","url":null,"abstract":"Understanding gene regulation by identifying gene products and determining their roles in regulatory networks is a complex process. A common computational method is to reverse engineer a regulatory network from gene expression profile, and sanitize the network using known information about the genes, their interactions and other properties to filter out unlikely interactors. Unfortunately, due to limited resources most gene expression studies have a limited and small number of time points, and most reverse engineering tools are unable to handle large numbers of genes. Both of these factors play significant roles in influencing the accuracy of the process. In this paper, we present a new gene ranking algorithm from gene expression profiles with a small number of time points so that the most relevant genes can be selected for reverse engineering. We also present a graphical interface called NetExpress, which adopts this algorithm and allows users to set control parameters to effect the desired outcome, and visualize the analysis for iterative fine tuning.","PeriodicalId":74534,"journal":{"name":"Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing","volume":"2017 ","pages":"24-27"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3019612.3021289","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39067634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Facial image classification of mouse embryos for the animal model study of fetal alcohol syndrome 小鼠胚胎面部图像分类用于胎儿酒精综合征动物模型研究

Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing Pub Date : 2009-03-08 DOI: 10.1145/1529282.1529463

S. Fang, Y. Liu, Jeffrey R. Huang, S. Vinci-Booher, Bruce Anthony, F. Zhou

引用次数: 6

Facial Image Classification of Mouse Embryos for the Animal Model Study of Fetal Alcohol Syndrome. 小鼠胚胎面部图像分类用于胎儿酒精综合征动物模型研究。

Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing Pub Date : 2009-01-01 DOI: 10.1901/jaba.2009.2009-852

Shiaofen Fang, Ying Liu, Jeffrey Huang, Sophia Vinci-Booher, Bruce Anthony, Feng Zhou

引用次数: 0

Parallel Materialization of Large ABoxes. 大箱子的平行物质化。

Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing Pub Date : 2009-01-01 DOI: 10.1145/1529282.1529564

Sivaramakrishnan Narayanan, Umit Catalyurek, Tahsin Kurc, Joel Saltz

引用次数: 0