Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng
{"title":"Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space","authors":"Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng","doi":"10.48550/arXiv.2206.11190","DOIUrl":"https://doi.org/10.48550/arXiv.2206.11190","url":null,"abstract":". Sepsis is a leading cause of death in the ICU. It is a disease requiring complex interventions in a short period of time, but its optimal treatment strategy remains uncertain. Evidence suggests that the practices of currently used treatment strategies are problematic and may cause harm to patients. To address this decision problem, we propose a new medical decision model based on historical data to help clinicians recommend the best reference option for real-time treatment. Our model combines offline reinforcement learning and deep reinforcement learning to solve the problem of traditional reinforcement learning in the medical field due to the inability to interact with the environment, while enabling our model to make decisions in a continuous state-action space. We demonstrate that, on average, the treatments recommended by the model are more valuable and reliable than those recommended by clinicians. In a large validation dataset, we find out that the patients whose actual doses from clinicians matched the decisions made by AI has the lowest mortality rates. Our model provides personalized and clinically interpretable treatment decisions for sepsis to improve patient care.","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131393724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wavelet Feature with CNN for Identifying Parasitic Egg from a Slender-Billed's Nest","authors":"Nhidi Wiem, Chokri Mohamed Ali, R. Ejbali","doi":"10.1007/978-3-030-73050-5_37","DOIUrl":"https://doi.org/10.1007/978-3-030-73050-5_37","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127501089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Ripan, Iqbal H. Sarker, Md. Hasan Furhad, M. Anwar, M. M. Hoque
{"title":"An Effective Heart Disease Prediction Model Based on Machine Learning Techniques","authors":"R. Ripan, Iqbal H. Sarker, Md. Hasan Furhad, M. Anwar, M. M. Hoque","doi":"10.20944/preprints202011.0744.v1","DOIUrl":"https://doi.org/10.20944/preprints202011.0744.v1","url":null,"abstract":"This paper presents an effective heart disease prediction model through detecting the anomalies, also known as outliers, in healthcare data using the unsupervised K-means clustering algorithm. Most existing approaches for detecting anomalies are based on constructing profiles of normal instances. However, such techniques require an adequate number of normal profiles to justify those models. Our proposed model first evaluates an textit{optimal} value of K using Silhouette method. Next, it intends to locate anomalies that are far from a certain threshold distance with respect to their clusters. Finally, the five most popular classification techniques such as K-Nearest Neighbor (KNN), Random Forest (RF), Support Vector Machines (SVM), Naive Bayes (NB), and Logistic Regression (LR) are applied to build the resultant prediction model. The effectiveness of the proposed methodology is justified using a benchmark dataset of heart disease.","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127353394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Hossain, Omar Sharif, M. M. Hoque, Iqbal H. Sarker
{"title":"SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews","authors":"E. Hossain, Omar Sharif, M. M. Hoque, Iqbal H. Sarker","doi":"10.1007/978-3-030-73050-5_19","DOIUrl":"https://doi.org/10.1007/978-3-030-73050-5_19","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ontology-Based Semantic Similarity Approach for Biomedical Dataset Retrieval","authors":"Xu Wang, Zhisheng Huang, F. V. Harmelen","doi":"10.1007/978-3-030-61951-0_5","DOIUrl":"https://doi.org/10.1007/978-3-030-61951-0_5","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129107280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hussein Hellani, Layth Sliman, Motaz Ben Hassine, A. Samhat, E. Exposito, Mourad Kmimech
{"title":"Tangle the Blockchain: Toward IOTA and Blockchain Integration for IoT Environment","authors":"Hussein Hellani, Layth Sliman, Motaz Ben Hassine, A. Samhat, E. Exposito, Mourad Kmimech","doi":"10.1007/978-3-030-49336-3_42","DOIUrl":"https://doi.org/10.1007/978-3-030-49336-3_42","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Trigui Sana, I. Boujelben, Salma Jamoussi, Y. B. Ayed
{"title":"ADAL System: Aspect Detection for Arabic Language","authors":"Trigui Sana, I. Boujelben, Salma Jamoussi, Y. B. Ayed","doi":"10.1007/978-3-030-49336-3_4","DOIUrl":"https://doi.org/10.1007/978-3-030-49336-3_4","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115462013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wind-Power Intra-day Statistical Predictions Using Sum PDE Models of Polynomial Networks Combining the PDE Decomposition with Operational Calculus Transforms","authors":"L. Zjavka, V. Snás̃el, A. Abraham","doi":"10.1007/978-3-030-49336-3_8","DOIUrl":"https://doi.org/10.1007/978-3-030-49336-3_8","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116075945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"State Estimation of Moving Vehicle Using Extended Kalman Filter: A Cyber Physical Aspect","authors":"Ankur Jain, B. K. Roy","doi":"10.1007/978-3-030-49336-3_3","DOIUrl":"https://doi.org/10.1007/978-3-030-49336-3_3","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126555096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chaotic Salp Swarm Optimization Using SVM for Class Imbalance Problems","authors":"G. Rekha, V. K. Reddy, A. Tyagi","doi":"10.1007/978-3-030-49336-3_22","DOIUrl":"https://doi.org/10.1007/978-3-030-49336-3_22","url":null,"abstract":"","PeriodicalId":215912,"journal":{"name":"International Conference on Health Information Science","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121156179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}