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Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

Symum H, Zayas-Castro JL

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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Machine Learning Approaches for the Prediction of Prostate Cancer according to Age and the Prostate-Specific Antigen Level

Lee J, Yang SW, Lee S, Hyon YK, Kim J, Jin L, Lee JY, Park JM, Ha T, Shin JH, Lim JS, Na YG, Song KH

PURPOSE: The aim of this study was to evaluate the applicability of machine learning methods that combine data on age and prostate-specific antigen (PSA) levels for predicting prostate cancer. MATERIALS AND...
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Classification of Common Relationships Based on Short Tandem Repeat Profiles Using Data Mining

Jeong SJ, Lee HJ, Lee SD, Lee SH, Park SJ, Kim JS, Lee JW

We reviewed past studies on the identification of familial relationships using 22 short tandem repeat markers. As a result, we can obtain a high discrimination power and a relatively accurate...
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Sleep stage estimation method using a camera for home use

Nochino T, Ohno Y, Kato T, Taniike M, Okada S

Recent studies have developed simple techniques for monitoring and assessing sleep. However, several issues remain to be solved for example high-cost sensor and algorithm as a home-use device. In this...
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Review of Machine Learning Algorithms for Diagnosing Mental Illness

Cho G, Yim J, Choi Y, Ko J, Lee SH

OBJECTIVE: Enhanced technology in computer and internet has driven scale and quality of data to be improved in various areas including healthcare sectors. Machine Learning (ML) has played a pivotal...
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Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods

Abhari S, Niakan Kalhori SR, Ebrahimi M, Hasannejadasl H, Garavand A

OBJECTIVES: The incidence of type 2 diabetes mellitus has increased significantly in recent years. With the development of artificial intelligence applications in healthcare, they are used for diagnosis, therapeutic decision...
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Classficiation of Bupleuri Radix according to Geographical Origins using Near Infrared Spectroscopy (NIRS) Combined with Supervised Pattern Recognition

Lee DY, Kang KB, Kim J, Kim HJ, Sung SH

Rapid geographical classification of Bupleuri Radix is important in quality control. In this study, near infrared spectroscopy (NIRS) combined with supervised pattern recognition was attempted to classify Bupleuri Radix according...
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Predicting Working Memory Capacity in Older Subjects Using Quantitative Electroencephalography

Shin JH, Jhung K, Heo JS, An SK, Park JY

OBJECTIVE: We utilized a spectral and network analysis technique with an integrated support vector classification algorithm for the automated detection of cognitive capacity using resting state electroencephalogram (EEG) signals. METHODS: An...
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Anesthesia research in the artificial intelligence era

Lee HC, Jung CW

A noteworthy change in recent medical research is the rapid increase of research using big data obtained from electrical medical records (EMR), order communication systems (OCS), and picture archiving and...
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Detecting Manic State of Bipolar Disorder Based on Support Vector Machine and Gaussian Mixture Model Using Spontaneous Speech

Pan Z, Gui C, Zhang J, Zhu J, Cui D

OBJECTIVE: This study was aimed to compare the accuracy of Support Vector Machine (SVM) and Gaussian Mixture Model (GMM) in the detection of manic state of bipolar disorders (BD) of...
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Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques

Lee J, Kim HR

BACKGROUND: Many studies have tried to develop predictors for return-to-work (RTW). However, since complex factors have been demonstrated to predict RTW, it is difficult to use them practically. This study...
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Molecular Signature for Lymphatic Invasion Associated with Survival of Epithelial Ovarian Cancer

Paik ES, Choi HJ, Kim TJ, Lee JW, Kim BG, Bae DS, Choi CH

PURPOSE: We aimed to develop molecular classifier that can predict lymphatic invasion and their clinical significance in epithelial ovarian cancer (EOC) patients. MATERIALS AND METHODS: We analyzed gene expression (mRNA, methylated...
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Gastrointestinal polyp detection in endoscopic images using an improved feature extraction method

Billah M, Waheed S

Gastrointestinal polyps are treated as the precursors of cancer development. So, possibility of cancers can be reduced at a great extent by early detection and removal of polyps. The most...
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Performance of machine learning methods in diagnosing Parkinson's disease based on dysphonia measures

Lahmiri S, Dawson DA, Shmuel A

Parkinson's disease (PD) is a widespread degenerative syndrome that affects the nervous system. Its early appearing symptoms include tremor, rigidity, and vocal impairment (dysphonia). Consequently, speech indicators are important in...
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Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning

Arvind V, Kim JS, Oermann EK, Kaji D, Cho SK

OBJECTIVE: Machine learning algorithms excel at leveraging big data to identify complex patterns that can be used to aid in clinical decision-making. The objective of this study is to demonstrate...
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A pilot study using machine learning methods about factors influencing prognosis of dental implants

Ha SR, Park HS, Kim EH, Kim HK, Yang JY, Heo J, Yeo IS

PURPOSE: This study tried to find the most significant factors predicting implant prognosis using machine learning methods. MATERIALS AND METHODS: The data used in this study was based on a systematic...
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Comparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning Algorithms

Kuo CY, Yu LC, Chen HC, Chan CL

OBJECTIVES: The aims of this study were to compare the performance of machine learning methods for the prediction of the medical costs associated with spinal fusion in terms of profit...
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Decoding Saccadic Directions Using Epidural ECoG in Non-Human Primates

Lee J, Choi H, Lee S, Cho BH, Ahn KH, Kim IY, Lee KM, Jang DP

A brain-computer interface (BCI) can be used to restore some communication as an alternative interface for patients suffering from locked-in syndrome. However, most BCI systems are based on SSVEP, P300,...
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Fall Detection System for the Elderly Based on the Classification of Shimmer Sensor Prototype Data

Ahmed M, Mehmood N, Nadeem A, Mehmood A, Rizwan K

OBJECTIVES: Falling in the elderly is considered a major cause of death. In recent years, ambient and wireless sensor platforms have been extensively used in developed countries for the detection...
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Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor

Erdenebayar U, Park JU, Jeong P, Lee KJ

In this study, we propose a novel method for obstructive sleep apnea (OSA) detection using a piezo-electric sensor. OSA is a relatively common sleep disorder. However, more than 80% of...
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