Abstract：
BACKGROUND:Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation. OBJECTIVE:In this study, we leveraged machine learning techniques to build a FN mortality risk evaluation tool focused on FN admissions without physicians' subjective evaluation. METHODS:We used the National Inpatient Sample and Nationwide Inpatient Sample (NIS) that included mortality data among adult inpatients who were diagnosed with FN during a hospital admission. Machine learning techniques that we compared included linear models (ridge logistic regression and linear support vector machine) and non-linear models (gradient boosting tree and neural network). The primary outcome for this study was death among individuals with a recorded FN admission. Model comparison was evaluated based on areas under the receiver operating characteristic curve (AUROC) and model performance was estimated using 30 % test set created via stratified split. RESULTS:Our analysis detected 126,013 adult admissions within the NIS data that were diagnosed with FN, among which 5,856 were declared as deceased (4.6 %). Our machine learning results demonstrate linear models and non-linear models achieved areas under the receiver operating characteristic (AUROC) around 92 % in survival prediction. CONCLUSIONS:We developed machine learning models that do not require physicians' subjective evaluation for FN mortality risk prediction.
journal_name
Int J Med Informjournal_title
International journal of medical informaticsauthors
Du X,Min J,Shah CP,Bishnoi R,Hogan WR,Lemas DJdoi
10.1016/j.ijmedinf.2020.104140subject
Has Abstractpub_date
2020-07-01 00:00:00pages
104140eissn
1386-5056issn
1872-8243pii
S1386-5056(19)31407-8journal_volume
139pub_type
杂志文章abstract：PURPOSE:This survey among an interdisciplinary group of clinicians was conducted to obtain their opinions about the usefulness of decision support systems (DSS) for evidence- and patient preference-based illness management, factors important to their implementation, and criteria for evaluating their effectiveness. MET...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2004.08.004
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/s1386-5056(00)00086-1
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abstract：:Teleradiology is yet to take off in India. This is unfortunate since this technology is ideal for a country like India, where expertise in remote areas for advanced investigations such as CT and MR, is lacking. We were the first center in India to use teleradiology on a regular basis. Our initial methodology in 1996 w...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/s1386-5056(01)00138-1
更新日期：2001-05-01 00:00:00
abstract：OBJECTIVE:This study presents a conceptual model to investigate the healthcare technology management (HTM) competency required by healthcare IS professionals and the impact of such competency in gaining strategic advantages through information technology (IT) by development of partnerships with people from different di...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2008.05.007
更新日期：2009-02-01 00:00:00
abstract：INTRODUCTION:In this article we begin by connecting the concept of simplicity of user interfaces of information systems with that of usability, and the concept of complexity of the problem-solving in information systems with the concept of usefulness. We continue by stating "the usability axiom" of medical information ...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2006.05.039
更新日期：2006-12-01 00:00:00
abstract：BACKGROUND:The authors have been conducting text mining analyses (extraction of useful information from text) of Medline records, using Abstracts as the main data source. For literature-based discovery, and other text mining applications as well, all records in a discipline need to be evaluated for determining prior ar...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2004.02.008
更新日期：2004-06-30 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2008.04.001
更新日期：2008-11-01 00:00:00
abstract：OBJECTIVE:The Health Risk Reminders and Surveillance (HRRS) system was designed to deliver critical abnormal test results of severely ill patients from Laboratory, Radiology, and Pathology departments to physicians within 5 min using cell phone text messages. This paper explores the success of the HRRS system. METHOD:...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2008.03.003
更新日期：2008-10-01 00:00:00
abstract：OBJECTIVE:To compare how nurses in two different paper-based systems perceive the impact of a computerized physician order entry (CPOE) system on their medication-related activities. SETTING:13 non-surgical, adult inpatient wards in a Dutch academic hospital. METHODS:Questionnaire survey of 295 nurses before and 304 ...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2008.06.012
更新日期：2009-03-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/s1386-5056(97)00060-9
更新日期：1997-09-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2005.02.002
更新日期：2005-08-01 00:00:00
abstract：BACKGROUND:Electronic Consultation (e-consults) can provide improved access, enhance patient and provider satisfaction, and reduce beneficiary travel expenses. We explored how e-consults were implemented across three specialty areas, diabetes (Diab), gastroenterology (GI), and neurosurgery (Neuro), at two Veterans Affa...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2017.09.005
更新日期：2017-12-01 00:00:00
abstract：OBJECTIVES:Mismatches frequently occur between information system (IS) dictated workflows and actual workflows of IS users. The resulting impeded workflows negatively influence the efficiency with which goods or services are produced and delivered to customers. Within a healthcare context, impeded workflows can additio...
journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2017.08.005
更新日期：2017-11-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2019.06.014
更新日期：2019-09-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2005.06.014
更新日期：2006-01-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2020.104367
更新日期：2021-03-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2016.09.003
更新日期：2016-11-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2014.07.004
更新日期：2014-11-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2008.07.004
更新日期：2009-03-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2005.10.007
更新日期：2006-10-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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更新日期：2014-01-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章,评审
doi：10.1016/j.ijmedinf.2006.11.009
更新日期：2008-01-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2019.103970
更新日期：2020-01-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2016.10.001
更新日期：2017-01-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章,评审
doi：10.1016/j.ijmedinf.2007.01.008
更新日期：2007-05-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2011.03.013
更新日期：2011-07-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2016.07.005
更新日期：2016-10-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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更新日期：2018-11-01 00:00:00
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2018.01.010
更新日期：2018-04-01 00:00:00
