About: Improving palliative care with deep learning

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scholarly article by Anand Avati et al published 12 December 2018 in BMC Medical Informatics and Decision Making

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description	wetenschappelijk artikel (nl) наукова стаття, опублікована в грудні 2018 (uk) article scientifique publié en 2018 (fr) im Dezember 2018 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Anand Avati et al published 12 December 2018 in BMC Medical Informatics and Decision Making (en)
publication date	wds:Q60045356-C375B42B-FE77-41AF-84AE-F8BD02CBAF22
publication date	2018-12-12 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q60045356-4B43A091-2AB2-4D25-91B1-040EBDCFB3AF
language of work or name	English
exact match	wds:Q60045356-62118D55-C681-49D1-A7C2-882309055700
exact match	https://scigraph.springernature.com/pub.10.1186/s12911-018-0677-8
cites work	wds:Q60045356-013AAD87-2E09-4056-8BF4-2E2E24FF8750 wds:Q60045356-087CF9F4-2644-4249-9DCC-22DEE620C29A wds:Q60045356-08AC8154-700B-41AC-8AF8-53A4A480DC12 wds:Q60045356-0EE69CC9-15D3-4AFB-8EED-BE1A8B8D3B87 wds:Q60045356-1755DC84-F53A-4DB2-AC66-96F8AEEC963B wds:Q60045356-194E8610-A6FE-41DA-B984-C395035F7656 wds:Q60045356-19D8438C-9BA7-4F28-8769-9555F997E5A4 wds:Q60045356-2CE8B30D-5792-4CFD-98E9-76DF3DE51FE9 wds:Q60045356-330641FF-DDBE-4D34-9090-B4562234380F wds:Q60045356-3EB0F027-3F86-4149-86CC-10E1E03D5101 wds:Q60045356-412A1872-2219-47B5-8E97-5E1B4131394A wds:Q60045356-44406C82-0D7E-47C6-A671-B2D357044128 wds:Q60045356-577B784C-4F19-4720-9F4F-B3139B3CD7A1 wds:Q60045356-5C9D2ED5-97FE-4382-853A-FBED4A674F6E wds:Q60045356-70D46245-D036-4120-B603-45BDF5B3E6D6 wds:Q60045356-7462A5DA-34FF-4BB4-BC46-0442FB837AC6 wds:Q60045356-764EBFB0-4CC6-479D-98F7-932DA2610551 wds:Q60045356-766DCC71-0424-4597-87D8-4F2AE2473077 wds:Q60045356-7B479E72-B6F4-4EF3-91D0-DDD2831E1C36 wds:Q60045356-816B9CFA-9D3B-4928-B93B-BB27DF1D14AF wds:Q60045356-83A89750-34C9-4DC4-AFF8-A25CFAFCAB03 wds:Q60045356-90E97B74-53FC-4085-B58E-598B4053A8CC wds:Q60045356-97D05B87-DFA2-492E-9AD0-CC3710E53F5C wds:Q60045356-A5D869C3-4A41-465A-BE5C-9A834E86B3B9 wds:Q60045356-AC200B60-0E62-447C-9D7B-271D176B441B wds:Q60045356-ADAABB45-68A8-4AE1-ACDD-13C0FBF88D5E wds:Q60045356-B0536229-3FCE-4BD2-838A-6A2B1B73FCE7 wds:Q60045356-B60C7531-6DB9-4171-8D76-D01CDA77EE5D wds:Q60045356-B9C9E71D-09EF-4FD7-B088-A21F291B4CDB wds:Q60045356-CA0C401A-4B67-4A3D-9D7D-0F6A5FAC962C wds:Q60045356-E4BE50A8-F650-4C70-9017-F4EA0C8B0DB6 wds:Q60045356-EAB7BE4E-C234-46A3-9EC6-397424D569A3 wds:Q60045356-FCB50A05-D0CC-410B-B7EC-72529819A4EA wds:Q60045356-FD4F6841-9EAE-48C8-BE32-5B0A41281C6D
cites work	The Growth of Palliative Care in U.S. Hospitals: A Status Report APACHE II: a severity of disease classification system A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study Preparing for the End of Life An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults Using automated clinical data for risk adjustment: development and validation of six disease-specific mortality predictive models for pay-for-performance Exceptional mortality prediction by risk scores from common laboratory tests STRIDE--An integrated standards-based translational research informatics platform Predicting the Future - Big Data, Machine Learning, and Clinical Medicine An evaluation of machine-learning methods for predicting pneumonia mortality Deep learning Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study Use of Palliative Performance Scale in end-of-life prognostication Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis The relative accuracy of the clinical estimation of the duration of life for patients with end of life cancer A new palliative prognostic score: a first step for the staging of terminally ill cancer patients. Italian Multicenter and Study Group on Palliative Care. A Systematic Review of Predictions of Survival in Palliative Care: How Accurate Are Clinicians and Who Are the Experts? Clinician accuracy when estimating survival duration: the role of the patient's performance status and time-based prognostic categories Accuracy of prediction of survival by different professional groups in a hospice Information needs in terminal illness A practical tool to identify patients who may benefit from a palliative approach: the CARING criteria Mortality risk score prediction in an elderly population using machine learning. Predicting survival in patients with advanced disease Threshold-free measures for assessing the performance of medical screening tests Mortality predictions on admission as a context for organizing care activities PREDICT: a diagnostic accuracy study of a tool for predicting mortality within one year: who should have an advance healthcare directive? Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. Development of a tool for defining and identifying the dying patient in hospital: Criteria for Screening and Triaging to Appropriate aLternative care (CriSTAL) Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation Identification of hospital patients in need of palliative care--a predictive score Few Hospital Palliative Care Programs Meet National Staffing Recommendations A predictive model to identify hospitalized cancer patients at risk for 30-day mortality based on admission criteria via the electronic medical record Two Ways of Knowing: Big Data and Evidence-Based Medicine
author name string	wds:Q60045356-1460B4B7-6AF1-403B-9E25-DEF6B541197C wds:Q60045356-188EEE22-1501-4382-9F43-4264EC68E74F wds:Q60045356-3B7C9D2A-F728-4ACD-A283-610831366333 wds:Q60045356-4E5AC8F9-76F4-48DA-B967-0E3EB9D325AB wds:Q60045356-C506FE8B-BFD8-4BD6-82EA-3AC6C1BABB5A
author name string	Kenneth Jung Stephanie Harman Andrew Ng Anand Avati Lance Downing
rdfs:label	Improving palliative care with deep learning (en) Improving palliative care with deep learning (nl)
skos:prefLabel	Improving palliative care with deep learning (en) Improving palliative care with deep learning (nl)
name	Improving palliative care with deep learning (en) Improving palliative care with deep learning (nl)
author	wds:Q60045356-8F467676-E172-4384-9A0A-6412D363C81B
author	Nigam H. Shah
title	wds:Q60045356-905B35DB-F6CA-477D-9B07-B564C3DEEBE9
title	Improving palliative care with deep learning (en)

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