| 139 |
AI in Medicine: Need of Orchestration for High-PerformanceAI in Medicine: Need of Orchestration for High-Performance
Jinwook ChoiJinwook Choi
KMSID: 1130324 Healthc Inform Res. 2019;25(3):139-140. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.139 |
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| 141 |
Narrative Review for Exploring Barriers to Readiness of Electronic Health Record Implementation in Primary Health CareNarrative Review for Exploring Barriers to Readiness of Electronic Health Record Implementation in Primary Health Care
Sandra Hakiem Afrizal, Achmad Nizar Hidayanto, Putu Wuri Handayani, Meiwita Budiharsana, Tris EryandoSandra Hakiem Afrizal, Achmad Nizar Hidayanto, Putu Wuri Handayani, Meiwita Budiharsana, Tris Eryando
KMSID: 1130325 Healthc Inform Res. 2019;25(3):141-152. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.141 |
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| 153 |
Integrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler CohortsIntegrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler Cohorts
Nyoman Anita Damayanti, Darmawan Setijanto, Arief Hargono, Ratna Dwi Wulandari, Maya Weka Santi, Benny Tjahjono, Aulia RamadhaniNyoman Anita Damayanti, Darmawan Setijanto, Arief Hargono, Ratna Dwi Wulandari, Maya Weka Santi, Benny Tjahjono, Aulia Ramadhani
KMSID: 1130326 Healthc Inform Res. 2019;25(3):153-160. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.153 |
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| 161 |
Development and Pilot Testing of the Snackability Smartphone Application to Identify Healthy and Unhealthy SnacksDevelopment and Pilot Testing of the Snackability Smartphone Application to Identify Healthy and Unhealthy Snacks
Lukkamol Prapkree, Masoud Sadjadi, Fatma Huffman, Cristina PalaciosLukkamol Prapkree, Masoud Sadjadi, Fatma Huffman, Cristina Palacios
KMSID: 1130327 Healthc Inform Res. 2019;25(3):161-172. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.161 |
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| 173 |
Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning ApproachPrediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach
Nahla H. Barakat, Sana H. Barakat, Nadia AhmedNahla H. Barakat, Sana H. Barakat, Nadia Ahmed
KMSID: 1130356 Healthc Inform Res. 2019;25(3):173-181. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.173 |
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| 182 |
Nature of Complex Network of Dengue Epidemic as a Scale-Free NetworkNature of Complex Network of Dengue Epidemic as a Scale-Free Network
Hafiz Abid Mahmood Malik, Faiza Abid, Nadeem Mahmood, Mohamed Ridza Wahiddin, Asif MalikHafiz Abid Mahmood Malik, Faiza Abid, Nadeem Mahmood, Mohamed Ridza Wahiddin, Asif Malik
KMSID: 1130329 Healthc Inform Res. 2019;25(3):182-192. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.182 |
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| 193 |
Method for Automated Selection of the Trabecular Area in Digital Periapical Radiographic Images Using Morphological OperationsMethod for Automated Selection of the Trabecular Area in Digital Periapical Radiographic Images Using Morphological Operations
Enny Itje Sela, Reza Pulungan, Rini Widyaningrum, Rurie Ratna ShantiningsihEnny Itje Sela, Reza Pulungan, Rini Widyaningrum, Rurie Ratna Shantiningsih
KMSID: 1130330 Healthc Inform Res. 2019;25(3):193-200. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.193 |
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| 201 |
Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening ModelDeep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model
Dukyong Yoon, Hong Seok Lim, Kyoungwon Jung, Tae Young Kim, Sukhoon LeeDukyong Yoon, Hong Seok Lim, Kyoungwon Jung, Tae Young Kim, Sukhoon Lee
KMSID: 1130331 Healthc Inform Res. 2019;25(3):201-211. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.201 |
|
| 212 |
Bayesian Approach to Predicting Acute Appendicitis Using Ultrasonographic and Clinical Variables in ChildrenBayesian Approach to Predicting Acute Appendicitis Using Ultrasonographic and Clinical Variables in Children
Tristan Reddan, Jonathan Corness, Fiona Harden, Wenbiao Hu, Kerrie MengersenTristan Reddan, Jonathan Corness, Fiona Harden, Wenbiao Hu, Kerrie Mengersen
KMSID: 1130332 Healthc Inform Res. 2019;25(3):212-220. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.212 |
|
| 221 |
Factors Influencing eHealth Literacy of Middle School Students in Korea: A Descriptive Cross-Sectional StudyFactors Influencing eHealth Literacy of Middle School Students in Korea: A Descriptive Cross-Sectional Study
Bu Kyung ParkBu Kyung Park
KMSID: 1130333 Healthc Inform Res. 2019;25(3):221-229. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.221 |
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| 230 |
Internet of Things Applied in Healthcare Based on Open Hardware with Low-Energy ConsumptionInternet of Things Applied in Healthcare Based on Open Hardware with Low-Energy Consumption
Leonardo Juan Ramirez Lopez, Gabriel Puerta Aponte, Arturo Rodriguez GarciaLeonardo Juan Ramirez Lopez, Gabriel Puerta Aponte, Arturo Rodriguez Garcia
KMSID: 1130334 Healthc Inform Res. 2019;25(3):230-235. Published online 2019 July 31 DOI: http://dx.doi.org/10.4258/hir.2019.25.3.230 |
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