Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure.

[BibT_eX]

[DOI]

Anahita Davoudi

Sena Chae

Int. J. Medical Informatics, 2024

The Role of Health Information Technology During Hospital to Home Transitions.

[BibT_eX]

[DOI]

Proceedings of the Innovation in Applied Nursing Informatics, 2024

Voices Unheard: Exploring New Data Sources in Nursing Through Speech Processing.

[BibT_eX]

[DOI]

Proceedings of the Innovation in Applied Nursing Informatics, 2024

Social Determinants Documented Across Individuals from Different Racial and Ethnic Groups in Home Healthcare.

[BibT_eX]

[DOI]

Proceedings of the Innovation in Applied Nursing Informatics, 2024

Future Needs in Nursing Informatics - Preliminary Findings from the Global Nursing Informatics Survey.

[BibT_eX]

[DOI]

Gabrielle Jacklin Eler

Mattias Georgsson

Jisan Lee

Zerina Lokmic-Tomkins

Erika Lozada Perezmitre

Lisiane Pruinelli

Charlene Ronquillo

Henrique Yoshikazu Shishido

Proceedings of the Innovation in Applied Nursing Informatics, 2024

EHR Solutions for Information Transfer Deficits During Transitions in Care for Sepsis Survivors.

[BibT_eX]

[DOI]

Proceedings of the Innovation in Applied Nursing Informatics, 2024

2023

Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., October, 2023

Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model.

[BibT_eX]

[DOI]

Sarah Collins Rossetti

Kenrick Cato

Sridevi Sridharan

Maxim Topaz

J. Am. Medical Informatics Assoc., September, 2023

HomeADScreen: Developing Alzheimer's disease and related dementia risk identification model in home healthcare.

[BibT_eX]

[DOI]

Int. J. Medical Informatics, September, 2023

Machine learning applied to electronic health record data in home healthcare: A scoping review.

[BibT_eX]

[DOI]

Int. J. Medical Informatics, 2023

2022

2.45 e-RMS Low-Random-Noise, 598.5 mW Low-Power, and 1.2 kfps High-Speed 2-Mp Global Shutter CMOS Image Sensor With Pixel-Level ADC and Memory.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2022

Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care.

[BibT_eX]

[DOI]

Sarah Collins Rossetti

J. Biomed. Informatics, 2022

Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.

[BibT_eX]

[DOI]

Sarah Collins Rossetti

Jiyoun Song

Sridevi Sridharan

Maxim Topaz

J. Am. Medical Informatics Assoc., 2022

Design and analysis on low-power and low-noise single slope ADC for digital pixel sensors.

[BibT_eX]

[DOI]

Proceedings of the Imaging Sensors and Systems 2022, online, January 15-26, 2022, 2022

Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

A Full and Approximated Model for Predicting Infection-Related Adverse Events in a Home Health Care Population.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

Heart Failure Patient Characteristics and Symptoms Documented in Home Health Care Clinical Notes are Associated with Emergency Department Visits and Hospitalizations.

[BibT_eX]

[DOI]

Sarah Collins Rossetti

Proceedings of the AMIA 2022, 2022

2021

Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

"A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

A 2.6 e-rms Low-Random-Noise, 116.2 mW Low-Power 2-Mp Global Shutter CMOS Image Sensor with Pixel-Level ADC and In-Pixel Memory.

[BibT_eX]

[DOI]

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

Home Healthcare Clinicians' Perspectives on Electronic Health Records: A Qualitative Study.

[BibT_eX]

[DOI]

Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

Identifying Heart Failure Symptoms and Poor Self-Management in Home Healthcare: A Natural Language Processing Study.

[BibT_eX]

[DOI]

Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

Natural Language Processing Algorithm to Detect Terms Representing Risk of Hospitalization or Emergency Department Visits during Home Health Care.

[BibT_eX]

[DOI]

Sarah Collins Rossetti

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Identifying Narrative Documentation of Clinician Concern about Patient Deterioration in Home Healthcare: A Text Mining Study.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

5.5 A 2.1e<sup>-</sup> Temporal Noise and -105dB Parasitic Light Sensitivity Backside-Illuminated 2.3µm-Pixel Voltage-Domain Global Shutter CMOS Image Sensor Using High-Capacity DRAM Capacitor Technology.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

Jiyoun Song

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