{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T02:45:31Z","timestamp":1767581131576,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,23]]},"DOI":"10.1145\/3590837.3590883","type":"proceedings-article","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T18:36:51Z","timestamp":1685471811000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Sky-Net: A Deep Learning Approach to Predicting Lung Function Decline in Sufferers of Idiopathic Pulmonary Fibrosis"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6795-7476","authenticated-orcid":false,"given":"Arjun","family":"Taneja","sequence":"first","affiliation":[{"name":"Department of Information Technology, Manipal University Jaipur, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7725-1025","authenticated-orcid":false,"given":"Anju","family":"Yadav","sequence":"additional","affiliation":[{"name":"IT, Manipal University Jaipur, India"}]}],"member":"320","published-online":{"date-parts":[[2023,5,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm7080201"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","unstructured":"M. I. Lassenius I. Toppila N. P\u00f6ntynen L. Kasslin J. Kaunisto M. Kilpel\u00e4inen and T. Laitinen \u201cForced Vital Capacity (FVC) decline mortality and healthcare resource utilization in idiopathic pulmonary fibrosis.\u201d\u00a0European clinical respiratory journal\u00a0vol. 7 1 1702618. 17 Dec. 2019 doi:10.1080\/20018525.2019.1702618","DOI":"10.1080\/20018525.2019.1702618"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","unstructured":"C. J. Zappala P. I. Latsi A. G. Nicholson T. V. Colby D. Cramer E. A. Renzoni D. M. Hansell R. M. du Bois and A. U. Wells \u201cMarginal decline in forced vital capacity is associated with a poor outcome in idiopathic pulmonary fibrosis.\u201d\u00a0The European respiratory journal\u00a0vol. 35 4 (2010): 830-6. doi:10.1183\/09031936.00155108","DOI":"10.1183\/09031936.00155108"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1705751"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"A. M. Russell H. Adamali P. L. Molyneaux P. T. Lukey R. P. Marshall E. A. Renzoni A. U. Wells and T. M. Maher \u201cDaily Home Spirometry: An Effective Tool for Detecting Progression in Idiopathic Pulmonary Fibrosis.\u201d\u00a0American journal of respiratory and critical care medicine\u00a0vol. 194 8 (2016): 989-997. doi:10.1164\/rccm.201511-2152OC","DOI":"10.1164\/rccm.201511-2152OC"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","unstructured":"D. C. Marshall J. D. Salciccioli B. S. Shea and P. Akuthota \u201cTrends in mortality from idiopathic pulmonary fibrosis in the European Union: an observational study of the WHO mortality database from 2001-2013.\u201d\u00a0The European respiratory journal\u00a0vol. 51 1 1701603. 18 Jan. 2018 doi:10.1183\/13993003.01603-2017","DOI":"10.1183\/13993003.01603-2017"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1183\/09059180.00001514"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","unstructured":"H. Arakawa and K. Honma \u201cHoneycomb lung: history and current concepts.\u201d\u00a0AJR. American journal of roentgenology\u00a0vol. 196 4 (2011): 773-82. doi:10.2214\/AJR.10.4873","DOI":"10.2214\/AJR.10.4873"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","unstructured":"V. Tzilas S. Walsh A. Tzouvelekis and D. Bouros \u201cRadiological honeycombing: pitfalls in idiopathic pulmonary fibrosis diagnosis.\u201d\u00a0Expert review of respiratory medicine\u00a0vol. 14 11 (2020): 1107-1116. doi:10.1080\/17476348.2020.1804363","DOI":"10.1080\/17476348.2020.1804363"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","unstructured":"R. M. du Bois \u201cForced vital capacity in patients with idiopathic pulmonary fibrosis: test properties and minimal clinically important difference.\u201d\u00a0American journal of respiratory and critical care medicine\u00a0vol. 184 12 (2011): 1382-9. doi:10.1164\/rccm.201105-0840OC","DOI":"10.1164\/rccm.201105-0840OC"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","unstructured":"A. Wong J. Lu A. Dorfman P. McInnis M. Famouri D. Manary J. R. H. Lee and M. Lynch \u201cFibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images.\u201d\u00a0Frontiers in artificial intelligence\u00a0vol. 4 764047. 3 Nov. 2021 doi:10.3389\/frai.2021.764047","DOI":"10.3389\/frai.2021.764047"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","unstructured":"A. Christe A. A. Peters D. Drakopoulos J. T. Heverhagen T. Geiser T. Stathopoulou S. Christodoulidis M. Anthimopoulos S. G. Mougiakakou and L. Ebner \u201cComputer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.\u201d\u00a0Investigative radiology\u00a0vol. 54 10 (2019): 627-632. doi:10.1097\/RLI.0000000000000574","DOI":"10.1097\/RLI.0000000000000574"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/GUCON48875.2020.9231239"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/2832400"}],"event":{"name":"ICIMMI 2022: International Conference on Information Management & Machine Intelligence","acronym":"ICIMMI 2022","location":"Jaipur India"},"container-title":["Proceedings of the 4th International Conference on Information Management &amp; Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3590837.3590883","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3590837.3590883","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T02:44:55Z","timestamp":1767581095000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3590837.3590883"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":14,"alternative-id":["10.1145\/3590837.3590883","10.1145\/3590837"],"URL":"https:\/\/doi.org\/10.1145\/3590837.3590883","relation":{},"subject":[],"published":{"date-parts":[[2022,12,23]]},"assertion":[{"value":"2023-05-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}