{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T09:20:33Z","timestamp":1730193633990,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T00:00:00Z","timestamp":1716940800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T00:00:00Z","timestamp":1716940800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,29]]},"DOI":"10.1109\/abc61795.2024.10652117","type":"proceedings-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T17:19:57Z","timestamp":1725383997000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection"],"prefix":"10.1109","author":[{"given":"Mahera Roksana","family":"Islam","sequence":"first","affiliation":[{"name":"University of Dhaka,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anik Mahmud","family":"Ferdous","sequence":"additional","affiliation":[{"name":"University of Dhaka,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahera","family":"Hossain","sequence":"additional","affiliation":[{"name":"University of East London,Dept. of Computer Science and Digital Technologies,London,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md Atiqur","family":"Rahman Ahad","sequence":"additional","affiliation":[{"name":"University of East London,Dept. of Computer Science and Digital Technologies,London,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fady","family":"Alnajjar","sequence":"additional","affiliation":[{"name":"College of Information Technology, UAE University,Dept. of Computer Science and Software Engineering,Al Ain,UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1007\/978-981-15-8944-7_17","article-title":"Multilabel Classification of Nursing Activities in a Realistic Scenario","volume-title":"Activity and Behavior Computing. Smart Innovation, Systems and Technologies","volume":"204","author":"Faiz","year":"2021"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1109\/CVPRW56347.2022.00224","volume-title":"Multimodal transformer for nursing activity recognition","author":"Ijaz","year":"2022"},{"article-title":"Human activity recognition challenge","volume-title":"SpringerLink","year":"2024","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3640544.3645228"},{"volume-title":"Language models are unsupervised multitask learners","year":"2018","key":"ref5"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/978-3-030-68590-4_2","article-title":"Skeleton-Based Activity Recognition: Preprocessing and Approaches","author":"Sarker","year":"2021","journal-title":"Intelligent systems reference library (Print)"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/978-3-030-75490-7_5","article-title":"Skeleton-Based Human Action Recognition on Large-Scale Datasets","author":"Hossain","year":"2021","journal-title":"Intelli-gent systems reference library (Print)"},{"issue":"3","key":"ref8","first-page":"124","volume":"14","author":"Wood","year":"1998","journal-title":"Endotracheal suctioning: a literature review"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/sym12050744"},{"issue":"1","key":"ref10","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.iccn.2008.05.004","article-title":"Endotracheal suctioning of the adult intubated patient-what is the evidence?","volume":"25","author":"Pedersen","year":"2009","journal-title":"Intensive and Critical Care Nursing"},{"issue":"2","key":"ref11","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/S0964-3397(02)00004-6","article-title":"Suctioning: a review of current research recommendations","volume":"18","author":"Day","year":"2002","journal-title":"Intensive and Critical Care Nursing"},{"volume-title":"Chain-of- Thought Prompting Elic-its Reasoning in Large Language Models","year":"2022","author":"Zhanshun Wei","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2954744"},{"issue":"4","key":"ref14","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1109\/TSSC.1969.300225","article-title":"Visual Feature Extraction by a Multilayered Network of Analog Threshold Elements","volume":"5","author":"Fukushima","year":"1969","journal-title":"IEEE Transactions on Systems Science and Cybernetics"},{"issue":"16","key":"ref15","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"SMOTE: Synthetic Minority Over-sampling Technique","volume":"16","author":"Chawla","year":"2002","journal-title":"Journal of Artificial Intelligence Research"},{"article-title":"Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation","volume-title":"David","year":"2020","key":"ref16"},{"volume-title":"Why do tree-based models still outperform deep learning on tabular data?","year":"2022","author":"Grinsztajn","key":"ref17"},{"volume-title":"Macro-Average: Rare Types Are Important Too","author":"Gowda","key":"ref18"},{"key":"ref19","article-title":"Summary of the Nurse Care Activity Recognition Challenge Using Skelton Data from Video with Generative AI","volume":"2024","author":"Ngo","year":"2024","journal-title":"International Journal of Activity and Behavior Computing"},{"issue":"1","key":"ref20","first-page":"1","article-title":"Toward Recognizing Nursing Activity in Endo-tracheal Suctioning Using Video-based Pose Estimation","volume":"2024","author":"Ngo","year":"2024","journal-title":"International Journal of Activity and Behavior Computing"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07230-2_30"},{"issue":"1","key":"ref22","first-page":"115","article-title":"Action recognition system based on human body tracking with depth images","volume":"3","author":"Martinez-Zarzuela","year":"2014","journal-title":"Advances in Computer Science: an International Journal"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3364-x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32622-7_9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.27.4.043050"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-021-06238-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-53255-1"}],"event":{"name":"2024 International Conference on Activity and Behavior Computing (ABC)","start":{"date-parts":[[2024,5,29]]},"location":"Oita \/ Kitakyushu, Japan","end":{"date-parts":[[2024,5,31]]}},"container-title":["2024 International Conference on Activity and Behavior Computing (ABC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649890\/10651639\/10652117.pdf?arnumber=10652117","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T05:32:22Z","timestamp":1725514342000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10652117\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,29]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/abc61795.2024.10652117","relation":{},"subject":[],"published":{"date-parts":[[2024,5,29]]}}}