{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:08:16Z","timestamp":1759961296506,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030772109"},{"type":"electronic","value":"9783030772116"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-77211-6_33","type":"book-chapter","created":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T23:06:27Z","timestamp":1623107187000},"page":"293-297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2755-405X","authenticated-orcid":false,"given":"Kordian","family":"Gontarska","sequence":"first","affiliation":[]},{"given":"Weronika","family":"Wrazen","sequence":"additional","affiliation":[]},{"given":"Jossekin","family":"Beilharz","sequence":"additional","affiliation":[]},{"given":"Robert","family":"Schmid","sequence":"additional","affiliation":[]},{"given":"Lauritz","family":"Thamsen","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Polze","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,8]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Ekeland, A., Bowes, A., Flottorp, S.: Effectiveness of telemedicine: a systematic review of reviews. Int. J. Med. Inf. 79 (2010)","DOI":"10.1016\/j.ijmedinf.2010.08.006"},{"key":"33_CR2","unstructured":"Groccia, M., Lofaro, D., Guido, R., Conforti, D., Sciacqua, A.: Predictive models for risk assessment of worsening events in chronic heart failure patients. In: CinC 2018 (2018)"},{"key":"33_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/978-3-642-21222-2_50","volume-title":"Hybrid Artificial Intelligent Systems","author":"T Heinze","year":"2011","unstructured":"Heinze, T., Wierschke, R., Schacht, A., von L\u00f6wis, M.: A hybrid artificial intelligence system for assistance in remote monitoring of heart patients. In: Corchado, E., Kurzy\u0144ski, M., Wo\u017aniak, M. (eds.) HAIS 2011. LNCS (LNAI), vol. 6679, pp. 413\u2013420. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21222-2_50"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Koehler, F., et al.: Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial. The Lancet (2018)","DOI":"10.1016\/S0140-6736(18)31880-4"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Koehler, F., et al.: Telemedical interventional management in heart failure II (TIM-HF2), a randomised, controlled trial investigating the impact of telemedicine on unplanned cardiovascular hospitalisations and mortality in heart failure patients: study design and description: tim-hf2: study design. Eur. J. Heart Fail. 20 (2018)","DOI":"10.1002\/ejhf.1300"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Polze, A., Tr\u00f6ger, P., Hentschel, U., Heinze, T.: A scalable, self-adaptive architecture for remote patient monitoring. In: ISORCW 2010 (2010)","DOI":"10.1109\/ISORCW.2010.31"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Seto, E., Leonard, K., Cafazzo, J., Barnsley, J., Masino, C., Ross, H.: Developing healthcare rule-based expert systems: case study of a heart failure telemonitoring system. Int. J. Med. Inf. 81 (2012)","DOI":"10.1016\/j.ijmedinf.2012.03.001"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Shortliffe, E.H., Davis, R., Axline, S.G., Buchanan, B.G., Green, C.C., Cohen, S.N.: Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the mycin system. Comput. Biomed. Res. 8 (1975)","DOI":"10.1016\/0010-4809(75)90009-9"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Stehlik, J., et al.: Continuous wearable monitoring analytics predict heart failure hospitalization: the link-HF multicenter study. Circ. Heart Fail. 13 (2020)","DOI":"10.1161\/CIRCHEARTFAILURE.119.006513"},{"key":"33_CR10","unstructured":"WHO: World health statistics 2020: monitoring health for the sdgs, sustainable development goals (2020)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-77211-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T10:06:35Z","timestamp":1706695595000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-77211-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030772109","9783030772116"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-77211-6_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIME","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Medicine","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/aime21.aimedicine.info\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}