AIMC Topic: Medical History Taking
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Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.
PloS one
Aug 22, 2019
Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently, the United States Preventative Services Task Force (USPSTF) recommends anyone ages 50-75 and/or with a family history to be screened for CRC. To impr...
Neural Networks, Computer
Prognosis
Female
Risk Factors
Practice Guidelines as Topic
Aged
Colorectal Neoplasms
Medical History Taking
Male
Cardiovascular Diseases
Humans
Health Status
Early Detection of Cancer
Models, Statistical
Self Report
Middle Aged
Health Surveys
United States
Diabetes Mellitus
Self-Anamnesis with a Conversational User Interface: Concept and Usability Study.
Methods of information in medicine
Mar 15, 2019
OBJECTIVE: Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the healt...
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the individual patient is essential for the best outcomes. In this paper, we t...
A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text.
Journal of healthcare engineering
Jul 5, 2017
Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English. However, much less work has been done on nonstructural texts that...
Diagnostic tools and methods for dermatological assessment.
British journal of nursing (Mark Allen Publishing)
May 22, 2025
Advanced clinical practitioners (ACPs) play an essential role in dermatological care but often encounter challenges due to limited training in dermatological assessments and investigations. This two-part series aims to address these gaps by offering ...
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
BACKGROUND: Machine learning and deep learning are powerful tools for analyzing electronic health records (EHRs) in healthcare research. Although family health history has been recognized as a major predictor for a wide spectrum of diseases, research...
Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models.
Radiology
Feb 1, 2025
Background Incomplete clinical histories are a well-known problem in radiology. Previous dedicated quality improvement efforts focusing on reproducible assessments of the completeness of free-text clinical histories have relied on tedious manual anal...
Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions.
JAMA
Apr 16, 2024
Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.
Journal of molecular neuroscience : MN
Jul 1, 2021
Mutation
Models, Biological
Patient Selection
Asian People
Mobile Applications
Cognition
Observational Studies as Topic
Medical History Taking
Memory
Behavior
Mental Status and Dementia Tests
Alzheimer Disease
Ethnicity
Early Diagnosis
Hong Kong
Humans
Artificial Intelligence
Prospective Studies
Biomarkers
Language
Case-Control Studies
Wearable Electronic Devices
Late Onset Disorders
Clinical Trial Protocols as Topic
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