[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290158-105":59,"doc-detail-290158-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","applications-of-machine-learning-in-palliative-care-a-systematic-review-290158","Applications of Machine Learning in Palliative Care - A Systematic Review","","Objective: Summarize available literature on using machine learning (ML) for palliative care practice and research, and assess how well published studies follow key ML best practices. Methods: Search the MEDLINE database for ML use in palliative care practice or research, then screen records using PRISMA guidelines. Results: Include 22 publications covering mortality prediction, data annotation, morbidity prediction under palliative therapy, and response prediction. Conclusions: ML in palliative care is mainly used for mortality prediction; external test sets and prospective validations remain uncommon.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/applications-of-machine-learning-in-palliative-care-a-systematic-review-290158/290158/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/applications-of-machine-learning-in-palliative-care-a-systematic-review-290158/290158.png","ImageObject",300,407,{"name":92,"@type":93},"Jiven","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What was the review objective regarding machine learning in palliative care?","Question",{"text":113,"@type":114},"The review aimed to summarize literature on ML for palliative care practice and research and evaluate adherence to important ML best practices.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were studies identified and screened?",{"text":118,"@type":114},"The MEDLINE database was searched, and records were screened according to PRISMA guidelines.",{"name":120,"@type":111,"acceptedAnswer":121},"What did the review find about the main ML use case and validation practices?",{"text":122,"@type":114},"Most included studies focused on predicting mortality, while external test sets and prospective validations were exceptions.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},290158,1789640812,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":41,"preview_page_count":4},1099513958607,"https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399","source: [https://doi.org/10.48350/179918](https://doi.org/10.48350/179918 | downloaded:)[ | downloaded:](https://doi.org/10.48350/179918 | downloaded:) 20.3.2023  \n cancers   \nSystematic Review  \nApplications of Machine Learning in Palliative Care: A Systematic Review  \nErwin Vu 1,†, Nina Steinmann 2,†, Christina Schröder 2, Robert Förster 2, Daniel M. Aebersold 3,  \nSteffen Eychmüller 3,4, Nikola Cihoric 3, Caroline Hertler 5, Paul Windisch 2, *,† and Daniel R. Zwahlen 2,†  \nCitation: Vu, E.; Steinmann, N.; Schröder, C.; Förster, R.; Aebersold, D.M.; Eychmüller, S.; Cihoric, N.; Hertler, C.; Windisch, P.; Zwahlen, D.R. Applications of Machine Learning in Palliative Care: A Systematic Review. Cancers 2023, 15, 1596. [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)cancers15051596  \nAcademic Editors: Philipp Lenz and Mitra Tewes  \nReceived: 7 February 2023  \nRevised: 24 February 2023  \nAccepted: 2 March 2023  \nPublished: 4 March 2023  \nCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \n1 Department of Radiation Oncology, Kantonsspital St. Gallen, 9007 St. Gallen, Switzerland  \n2 Department of Radiation Oncology, Kantonsspital Winterthur, Brauerstrasse 15, Haus R, 8400 Winterthur, Switzerland  \n3 Department of Radiation Oncology, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland  \n4 University Center for Palliative Care, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland  \n5 Competence Center for Palliative Care, Department of Radiation Oncology, University Hospital Zurich, 8091 Zurich, Switzerland  \n* Correspondence: paul.windisch@ksw.ch; Tel.: +41-52-266-26-53 † These authors contributed equally to this work.  \nSimple Summary: To investigate the adoption of machine learning in palliative care research and clinical practice, we systematically searched for published research papers on the topic. We found several publications that used different kinds of machine learning in palliative care for different use cases. However, on average, there needs to be more rigorous testing of the models to ensure that they work well in different settings.  \nAbstract: Objective: To summarize the available literature on using machine learning (ML) for palliative care practice as well as research and to assess the adherence of the published studies to the most important ML best practices. Methods: The MEDLINE database was searched for the use of ML in palliative care practice or research, and the records were screened according to PRISMA guidelines. Results: In total, 22 publications using machine learning for mortality prediction (n = 15), data annotation (n = 5), predicting morbidity under palliative therapy (n = 1), and predicting response to palliative therapy (n = 1) were included. Publications used a variety of supervised or unsupervised models, but mostly tree-based classifiers and neural networks. Two publications had code uploaded to a public repository, and one publication uploaded the dataset. Conclusions: Machine learning in palliative care is mainly used to predict mortality. Similarly to other applications of ML, external test sets and prospective validations are the exception.  \nKeywords: machine learning; artificial intelligence; palliative care; deep learning; natural language processing; response prediction; data annotation; mortality prediction  \n1. Introduction  \nWhile the number of publications leveraging machine learning (ML) techniques has increased in recent years, this increase seems not evenly distributed across different specialties. Advances such as frameworks that made convolutional neural networks (CNNs) easy to train and de","cbCainHOmfXahPzM","https://ap.wps.com/l/cbCainHOmfXahPzM","pdf",1114934,12,"English","# Introduction\n## Methods\n### Literature Search\n# Results\n# Conclusions","[{\"question\":\"What was the review objective regarding machine learning in palliative care?\",\"answer\":\"The review aimed to summarize literature on ML for palliative care practice and research and evaluate adherence to important ML best practices.\"},{\"question\":\"How were studies identified and screened?\",\"answer\":\"The MEDLINE database was searched, and records were screened according to PRISMA guidelines.\"},{\"question\":\"What did the review find about the main ML use case and validation practices?\",\"answer\":\"Most included studies focused on predicting mortality, while external test sets and prospective validations were exceptions.\"}]","Applications of Machine Learning in Palliative Care - A Systematic Review | PDF"]