Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation
BackgroundSince its inception, artificial intelligence has aimed to use computers to help make clinical diagnoses. Evidence-based medical reasoning is important for patient care. Inferring clinical diagnoses is a crucial step during the patient encounter. Previous works mainl...
Main Authors: | Hu, Baotian, Bajracharya, Adarsha, Yu, Hong |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-01-01
|
Series: | JMIR Medical Informatics |
Online Access: | http://medinform.jmir.org/2020/1/e14971/ |
Similar Items
-
Improving Health Care Proxy Documentation Using a Web-Based Interview Through a Patient Portal
by: Bajracharya, Adarsha S.
Published: (2015) -
Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation
by: Rongali, Subendhu, et al.
Published: (2020-03-01) -
Econometric Modeling vs Artificial Neural Networks : A Sales Forecasting Comparison
by: Bajracharya, Dinesh
Published: (2011) -
Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study
by: Kim, Ho Heon, et al.
Published: (2021-03-01) -
Utility of convolutional neural network-based algorithm in medical images for liver fibrosis assessment
by: Wei Wei, et al.
Published: (2021-09-01)