Výsledky vyhledávání - "Natalie S Lee"

Akademický článek

Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study

Autor: Anahita Davoudi, Natalie S Lee, ThaiBinh Luong, Timothy Delaney, Elizabeth Asch, Krisda Chaiyachati, Danielle Mowery

Publikováno v: Journal of Medical Internet Research, Vol 24, Iss 6, p e36151 (2022)

BackgroundFree-text communication between patients and providers plays an increasing role in chronic disease management, through platforms varying from traditional health care portals to novel mobile messaging apps. These text data are rich resources

Externí odkaz: https://doaj.org/article/e4696a6a4c8e41b290eaed7c1be6e7f0

Zobrazit plný text záznamu

Plný text ve formátu HTML

Developing a Chatbot–Clinician Model for Hypertension Management

Autor: Natalie S. Lee, ThaiBinh Luong, Roy Rosin, David A. Asch, Christianne Sevinc, Mohan Balachandran, Michael Josephs, Matthew H. Rusk, Nicole L. McHenry, Elizabeth L. Asch, Danielle L. Mowery, Krisda H. Chaiyachati

Publikováno v: NEJM Catalyst. 3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc82134e412b6e24e0d21437c775d49f
https://doi.org/10.1056/cat.22.0228

Zobrazit plný text záznamu

Re: Lin et al.: Femtosecond laser-assisted cataract surgery: A Report by the American Academy of Ophthalmology (Ophthalmology. 2022;129:946–954)

Autor: Natalie S. Lee, Amitouj S. Sidhu, Aleeza Fatima, Ian C. Francis

Publikováno v: Ophthalmology. 129:e158-e159

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f785f54accdd6994b6cb6bb0d8ace68
https://doi.org/10.1016/j.ophtha.2022.08.025

Zobrazit plný text záznamu

Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study (Preprint)

Autor: Anahita Davoudi, Natalie S Lee, ThaiBinh Luong, Timothy Delaney, Elizabeth Asch, Krisda Chaiyachati, Danielle Mowery

BACKGROUND Free-text communication between patients and providers plays an increasing role in chronic disease management, through platforms varying from traditional health care portals to novel mobile messaging apps. These text data are rich resource

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a40142189e3493202c38c1c7931726f
https://doi.org/10.2196/preprints.36151

Zobrazit plný text záznamu

Identifying Medication-related Intents from a Bidirectional Text Messaging Platform for Hypertension Management: An Unsupervised Learning Approach

Autor: Anahita Davoudi, Natalie S Lee, Thaibinh Luong, Timothy Delaney, Elizabeth L Asch, Krisda H Chaiyachati, Danielle L Mowery

BackgroundFree-text communication between patients and providers is playing an increasing role in chronic disease management, through platforms varying from traditional healthcare portals to more novel mobile messaging applications. These text data a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::959a5c5025a5fcbbc1ae05750e725ea5
https://doi.org/10.1101/2021.12.23.21268061

Zobrazit plný text záznamu

Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study

Autor: Elizabeth L Asch, Krisda H. Chaiyachati, Natalie S Lee, Shivan J. Mehta, Catherine Reitz, Anahita Davoudi, Danielle L. Mowery, Timothy Delaney, Corey Chivers

Publikováno v: Journal of Medical Internet Research, Vol 22, Iss 12, p e22493 (2020)
Journal of Medical Internet Research

Background Automated texting platforms have emerged as a tool to facilitate communication between patients and health care providers with variable effects on achieving target blood pressure (BP). Understanding differences in the way patients interact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f35660a1801e95e3822250642315135
https://www.jmir.org/2020/12/e22493

Zobrazit plný text záznamu

Plný text ve formátu HTML

Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study (Preprint)

Autor: Anahita Davoudi, Natalie S Lee, Corey Chivers, Timothy Delaney, Elizabeth L Asch, Catherine Reitz, Shivan J Mehta, Krisda H Chaiyachati, Danielle L Mowery

BACKGROUND Automated texting platforms have emerged as a tool to facilitate communication between patients and health care providers with variable effects on achieving target blood pressure (BP). Understanding differences in the way patients interact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9614773e00092d7ea9f65edf79ad1d65
https://doi.org/10.2196/preprints.22493

Zobrazit plný text záznamu

High-Cost Patients: Hot-Spotters Don’t Explain the Half of It

Autor: Michael B. Rothberg, Natalie S. Lee, Nirav Vakharia, Glen B. Taksler, Noah Whitman

Understanding resource utilization patterns among high-cost patients may inform cost reduction strategies. To identify patterns of high-cost healthcare utilization and associated clinical diagnoses and to quantify the significance of hot-spotters amo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f05163a3cf3960b6754bb549acf247d
https://europepmc.org/articles/PMC5215147/

Zobrazit plný text záznamu