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[HTML][HTML] Deep learning and geriatric mental health
The goal of this overview is to help clinicians develop basic proficiency with the terminology
of deep learning and understand its fundamentals and early applications. We describe what …
of deep learning and understand its fundamentals and early applications. We describe what …
Hybrid natural language processing tool for semantic annotation of medical texts in Spanish
L Campillos-Llanos, A Valverde-Mateos… - BMC …, 2025 - Springer
Background Natural language processing (NLP) enables the extraction of information
embedded within unstructured texts, such as clinical case reports and trial eligibility criteria …
embedded within unstructured texts, such as clinical case reports and trial eligibility criteria …
Using natural language processing to identify home health care patients at risk for diagnosis of Alzheimer's disease and related dementias
This study aimed to:(1) validate a natural language processing (NLP) system developed for
the home health care setting to identify signs and symptoms of Alzheimer's disease and …
the home health care setting to identify signs and symptoms of Alzheimer's disease and …
[HTML][HTML] Medical Marijuana Documentation Practices in Patient Electronic Health Records: Retrospective Observational Study Using Smart Data Elements and a …
D Beiler, A Chopra, CM Gregor, LD Tusing… - JMIR formative …, 2024 - formative.jmir.org
Background: Medical marijuana (MMJ) is available in Pennsylvania, and participation in the
state-regulated program requires patient registration and receiving certification by an …
state-regulated program requires patient registration and receiving certification by an …
Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning
X Zhang, S Vemulapalli, N Talukdar, S Ahn… - ar** prediction models
for Alzheimer's disease (AD) risk, progression, and outcomes. Existing studies have mostly …
for Alzheimer's disease (AD) risk, progression, and outcomes. Existing studies have mostly …
[HTML][HTML] Extracting Critical Information from Unstructured Clinicians' Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study
Background The severity of Alzheimer disease and related dementias (ADRD) is rarely
documented in structured data fields in electronic health records (EHRs). Although this …
documented in structured data fields in electronic health records (EHRs). Although this …
Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019
Background: Data supporting dementia as a risk factor for coronavirus disease 2019 (COVID-
19) mortality relied on ICD-10 codes, yet nearly 40% of individuals with probable dementia …
19) mortality relied on ICD-10 codes, yet nearly 40% of individuals with probable dementia …
[HTML][HTML] Cognitive Concerns are a Risk Factor for Mortality in People with Human Immunodeficiency Virus and COVID-19
Background. Data supporting dementia as a risk factor for COVID-19 mortality relied on ICD-
10 codes, yet nearly 40% of individuals with probable dementia lack a formal diagnosis …
10 codes, yet nearly 40% of individuals with probable dementia lack a formal diagnosis …
[HTML][HTML] Automated Medical Records Review for Mild Cognitive Impairment and Dementia
Objectives: Unstructured and structured data in electronic health records (EHR) are a rich
source of information for research and quality improvement studies. However, extracting …
source of information for research and quality improvement studies. However, extracting …