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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

Journal of the American Medical Informatics Association : JAMIA, 2017-07, Vol.24 (4), p.813-821

2017

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Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data

PloS one, 2019-02, Vol.14 (2), p.e0212665

2019

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Personalized prediction of early childhood asthma persistence: A machine learning approach

PloS one, 2021-03, Vol.16 (3), p.e0247784-e0247784

2021

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Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient Generalization

PloS one, 2016-09, Vol.11 (9), p.e0162812-e0162812

2016

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Identifying Unmet Needs in Major Depressive Disorder Using a Computer-Assisted Alternative to Conventional Thematic Analysis: Qualitative Interview Study With Psychiatrists

JMIR formative research, 2024-03, Vol.8, p.e48894-e48894

2024

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Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management

Frontiers in digital health, 2023-09, Vol.5, p.1221754-1221754

2023

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Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry

Frontiers in physiology, 2020-10, Vol.11, p.564589-564589

2020

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Characterizing clinical pediatric obesity subtypes using electronic health record data

PLOS digital health, 2022-08, Vol.1 (8), p.e0000073-e0000073

2022

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Revisiting the fragility of influence functions

Neural networks, 2023-05, Vol.162, p.581-588

2023

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Prediction of early childhood obesity with machine learning and electronic health record data

International journal of medical informatics (Shannon, Ireland), 2021-06, Vol.150, p.104454-104454, Article 104454

2021

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Unsupervised Machine Learning Reveals Novel Traumatic Brain Injury Patient Phenotypes with Distinct Acute Injury Profiles and Long-Term Outcomes

Journal of neurotrauma, 2020-06, Vol.37 (12), p.1431-1444

2020

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Surviving Sepsis in a Referral Neonatal Intensive Care Unit: Association between Time to Antibiotic Administration and In-Hospital Outcomes

The Journal of pediatrics, 2020-02, Vol.217, p.59-65.e1

2020

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Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma

Journal of the American Medical Informatics Association : JAMIA, 2020-04, Vol.27 (4), p.558-566

2020

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Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniques

International journal of laboratory hematology, 2021-12, Vol.43 (6), p.1341-1356

2021

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Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation

Journal of biomedical informatics, 2017-05, Vol.69, p.86-92

2017

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Neonatal sepsis registry: Time to antibiotic dataset

Data in brief, 2019-12, Vol.27, p.104788-104788, Article 104788

2019

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Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"

Journal of the American Medical Informatics Association : JAMIA, 2019-06, Vol.26 (6), p.580-581

2019

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Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier

PLOS digital health, 2024-10, Vol.3 (10), p.e0000642

2024

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Identification of temporal condition patterns associated with pediatric obesity incidence using sequence mining and big data

International Journal of Obesity, 2020-08, Vol.44 (8), p.1753-1765

2020

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Preoperative Fluid Fasting Times and Postinduction Low Blood Pressure in Children: A Retrospective Analysis

Anesthesiology (Philadelphia), 2020-09, Vol.133 (3), p.523-533

2020

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Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology

BMC bioinformatics, 2014-07, Vol.15 (1), p.248-248, Article 248

2014

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Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real‐time physiological responses in children with autism

Autism research, 2022-01, Vol.15 (1), p.117-130

2022

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Fasting Duration and Blood Pressure in Children: Reply

Anesthesiology (Philadelphia), 2021-04, Vol.134 (4), p.668-669

2021

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Perspective on the Development of a Large-Scale Clinical Data Repository for Pediatric Hearing Research

Ear and hearing, 2020-03, Vol.41 (2), p.231-238

2020

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Preoperative Fluid Fasting Times and Postinduction Low Blood Pressure in Children

Anesthesiology (Philadelphia), 2020-09, Vol.133 (3), p.523-533

2020

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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data

Personalized prediction of early childhood asthma persistence: A machine learning approach

Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient Generalization

Identifying Unmet Needs in Major Depressive Disorder Using a Computer-Assisted Alternative to Conventional Thematic Analysis: Qualitative Interview Study With Psychiatrists

Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management

Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry

Characterizing clinical pediatric obesity subtypes using electronic health record data

Revisiting the fragility of influence functions

Prediction of early childhood obesity with machine learning and electronic health record data

Unsupervised Machine Learning Reveals Novel Traumatic Brain Injury Patient Phenotypes with Distinct Acute Injury Profiles and Long-Term Outcomes

Surviving Sepsis in a Referral Neonatal Intensive Care Unit: Association between Time to Antibiotic Administration and In-Hospital Outcomes

Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma

Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniques

Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation

Neonatal sepsis registry: Time to antibiotic dataset

Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"

Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier

Identification of temporal condition patterns associated with pediatric obesity incidence using sequence mining and big data

Preoperative Fluid Fasting Times and Postinduction Low Blood Pressure in Children: A Retrospective Analysis

Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology

Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real‐time physiological responses in children with autism

Fasting Duration and Blood Pressure in Children: Reply

Perspective on the Development of a Large-Scale Clinical Data Repository for Pediatric Hearing Research

Preoperative Fluid Fasting Times and Postinduction Low Blood Pressure in Children

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