- Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms
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Symum H, Zayas-Castro JL
- KMID: 2469397
- Healthc Inform Res.
- 2020 Jan;26(1):20-33.
- doi: 10.4258/hir.2020.26.1.20
OBJECTIVES: The study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five... -
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- Arousal and Valence Classification Model Based on Long Short-Term Memory and DEAP Data for Mental Healthcare Management
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Choi EJ, Kim DK
- KMID: 2434546
- Healthc Inform Res.
- 2018 Oct;24(4):309-316.
- doi: 10.4258/hir.2018.24.4.309
OBJECTIVES: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence... -
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- Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
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Lee JH, Kim DH, Jeong SN, Choi SH
- KMID: 2410690
- J Periodontal Implant Sci.
- 2018 Apr;48(2):114-123.
- doi: 10.5051/jpis.2018.48.2.114
PURPOSE: The aim of the current study was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the potential usefulness and... -
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- Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis
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Alnujaim I, Kim Y
- KMID: 2462234
- Healthc Inform Res.
- 2019 Oct;25(4):344-349.
- doi: 10.4258/hir.2019.25.4.344
OBJECTIVES: Human motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure. To analyze human motion with micro-Doppler signatures measured... -
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