LAUSR

Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy

Sign Up to like & get
recommendations!
1 Published in 2018 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2018.0926

Abstract: This cohort study describes and applies a machine learning model to predict short-term mortality in a general oncology cohort of patients starting new chemotherapy, using only data available before the first day of treatment. read more here.

Keywords: term mortality; short term; machine learning;

Development and Validation of an Electronic Health Record–Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment

Sign Up to like & get
recommendations!
0 Published in 2018 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2018.1018

Abstract: Key Points Question Can machine learning be used to predict incident delirium in newly hospitalized patients using only data available in the electronic health record shortly after admission? Findings In this cohort study, classification models… read more here.

Keywords: machine; machine learning; electronic health; health record ... See more keywords

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

Sign Up to like & get
recommendations!
0 Published in 2019 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2019.0968

Abstract: Key Points Question Can machine-learning approaches predict opioid overdose risk among fee-for-service Medicare beneficiaries? Findings In this prognostic study of the administrative claims data of 560 057 Medicare beneficiaries, the deep neural network and gradient boosting… read more here.

Keywords: machine; risk; machine learning; opioid overdose ... See more keywords

Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter

Sign Up to like & get
recommendations!
0 Published in 2019 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2019.14672

Abstract: This cross-sectional study develops and validates a machine learning method for collecting and classifying data from opioid-related postings on a social media platform. read more here.

Keywords: social media; machine learning; opioid related; natural language ... See more keywords

Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression

Sign Up to like & get
recommendations!
0 Published in 2020 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2019.18377

Abstract: This prognostic study of patients with major depressive disorder estimates how accurately an outcome of escitalopram treatment can be predicted from electroencephalographic data. read more here.

Keywords: machine learning; learning predicting; predicting escitalopram; treatment ... See more keywords

Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes.

Sign Up to like & get
recommendations!
1 Published in 2020 at "JAMA network open"

DOI: 10.1001/jamanetworkopen.2019.18962

Abstract: Importance Accurate risk stratification of patients with heart failure (HF) is critical to deploy targeted interventions aimed at improving patients' quality of life and outcomes. Objectives To compare machine learning approaches with traditional logistic regression… read more here.

Keywords: home; logistic regression; machine learning; regression ... See more keywords

Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism

Sign Up to like & get
recommendations!
0 Published in 2020 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2020.16209

Abstract: Key Points Question Does steroid profiling combined with machine learning offer a potential 1-step strategy to facilitate diagnosis and subtype classification for treatment stratification of patients with primary aldosteronism? Findings This diagnostic study involving patients… read more here.

Keywords: steroid profiling; aldosteronism; machine learning; profiling combined ... See more keywords

Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression

Sign Up to like & get
recommendations!
0 Published in 2020 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2020.6653

Abstract: Key Points Question Can machine learning models predict improvement of various depressive symptoms with antidepressant treatment based on pretreatment symptom scores and electroencephalographic measures? Findings In this prognostic study, using the machine learning approach of… read more here.

Keywords: machine; machine learning; based pretreatment; antidepressant treatment ... See more keywords

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer

Sign Up to like & get
recommendations!
1 Published in 2021 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2021.14723

Abstract: This cohort study investigates the performance of a machine learning algorithm used to extract a cohort of patients with lung cancer from electronic health records and estimate overall survival. read more here.

Keywords: patients lung; machine learning; cohort patients; cohort ... See more keywords

Use of Machine Learning to Estimate the Per-Protocol Effect of Low-Dose Aspirin on Pregnancy Outcomes

Sign Up to like & get
recommendations!
2 Published in 2022 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2021.43414

Abstract: Key Points Question How can machine learning be used to estimate per-protocol effects in randomized clinical trials? Findings In a cohort of 1227 women derived from secondary analysis of a randomized clinical trial, ensemble machine… read more here.

Keywords: per protocol; protocol; estimate per; machine learning ... See more keywords

Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults

Sign Up to like & get
recommendations!
2 Published in 2022 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2022.12095

Abstract: Key Points Question Does prediction of suicide risk improve when combining face-to-face screening with electronic health record–based machine learning models? Findings In this cohort study of 120 398 adult patient encounters, an ensemble learning approach combined… read more here.

Keywords: time; suicide; face; machine learning ... See more keywords