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Published in 2018 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2018.5097
Abstract: Key Points Question Can a prediction model for mortality in the intensive care unit be improved by using more laboratory values, vital signs, and clinical text in electronic health records? Findings In this cohort study…
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Keywords:
natural language;
electronic health;
language processing;
care ... See more keywords
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Published in 2021 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2021.3909
Abstract: Key Points Question How does the performance of different methods to reduce bias for clinical prediction algorithms compare when measured by disparate impact and equal opportunity difference? Findings In a cohort study of 314 903 White…
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Keywords:
clinical prediction;
reduce bias;
methods reduce;
prediction models ... See more keywords
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Published in 2023 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2023.1870
Abstract: Key Points Question Can routinely available data from primary care visits be used to develop and externally validate a prediction model that reliably predicts estimated glomerular filtration rate (eGFR) for upcoming follow-up visits? Findings In…
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Keywords:
glomerular filtration;
prediction model;
filtration rate;
estimated glomerular ... See more keywords
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Published in 2019 at "JAMA Neurology"
DOI: 10.1001/jamaneurol.2018.4561
Abstract: Importance Levetiracetam is a commonly used antiepileptic drug, yet psychiatric adverse effects are common and may lead to treatment discontinuation. Objective To derive prediction models to estimate the risk of psychiatric adverse effects from levetiracetam…
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Keywords:
psychiatric adverse;
prescription;
adverse effects;
effects levetiracetam ... See more keywords
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Published in 2019 at "JAMA psychiatry"
DOI: 10.1001/jamapsychiatry.2019.3671
Abstract: Importance Great interest exists in identifying methods to predict neuropsychiatric disease states and treatment outcomes from high-dimensional data, including neuroimaging and genomics data. The goal of this review is to highlight several potential problems that…
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Keywords:
evidence prediction;
cross validation;
evidence;
best practices ... See more keywords
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Published in 2022 at "JAMA psychiatry"
DOI: 10.1001/jamapsychiatry.2022.3571
Abstract: Importance In coordinated specialty care (CSC) settings for people with a first episode of psychosis, the development of reliable, validated individual-level prediction tools for key outcomes may be informative for shared clinician and client decision-making.…
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Keywords:
tool;
level;
prediction;
work ... See more keywords
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Published in 2022 at "JAMA psychiatry"
DOI: 10.1001/jamapsychiatry.2022.4076
Abstract: Importance Diagnoses and treatment of mental disorders are hampered by the current lack of objective markers needed to provide a more precise diagnosis and treatment strategy. Objective To develop deep learning models to predict mental…
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Keywords:
diagnosis;
cross diagnostic;
prediction;
mental disorder ... See more keywords
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Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016jd026391
Abstract: Seasonal climate predictions are formulated from known, present conditions, and simulate the near-term climate for approximately a year in the future. Recent efforts in seasonal climate prediction include coupled general circulation model (CGCM) ensemble predictions,…
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Keywords:
climate;
seasonal climate;
skill predictability;
climate predictions ... See more keywords
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Published in 2017 at "Geophysical Research Letters"
DOI: 10.1002/2017gl073155
Abstract: Recent Arctic sea ice seasonal prediction efforts and forecast skill assessments have primarily focused on pan-Arctic sea-ice extent (SIE). In this work, we move towards stakeholder-relevant spatial scales, investigating the regional forecast skill of Arctic…
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Keywords:
sea ice;
sea;
arctic sea;
ice seasonal ... See more keywords
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Published in 2017 at "Social Work"
DOI: 10.1002/2017sw001595
Abstract: In the present paper, solar magnetograms provided by the Helioseismic and Magnetic Imager (HMI) on-board Solar Dynamics Observatory (SDO) spacecraft are used to identify active regions automatically by thresholding the line-of-sight component of the solar…
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Keywords:
prediction flares;
program flarecast;
recognition complex;
prediction ... See more keywords
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Published in 2017 at "Social Work"
DOI: 10.1002/2017sw001605
Abstract: A tool for predicting the occurrence of Ground Level Enhancement (GLE) events using the UMASEP scheme [Nunez, 2011, 2015] is presented. This real-time tool, called HESPERIA UMASEP-500, is based on the detection of the magnetic…
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Keywords:
gle;
real time;
gle events;
occurrence ... See more keywords