default search action
ICHI 2019: Xi'an, China
- 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019, Xi'an, China, June 10-13, 2019. IEEE 2019, ISBN 978-1-5386-9138-0
- Xiao Qu, Jianxin Wu, Ting Zhang, Hongyan Guan:
An Open Dataset of Pediatric Activity and Energy Expediture and Deep Learning Approach for Analysis. 1-3 - Jing Liu, Rashmie Abeysinghe
, Fengbo Zheng
Pattern-based Extraction of Disease Drug Combination Knowledge from Biomedical Literature. 1-7 - Bo Jin, Yuxin Bai, Chongyuan Wang:
Comparing Different Imputation Methods for Incomplete Longitudinal Data on Clinical Dataset. 1-2 - Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin:
Weight Loss Prediction in Social-Temporal Context. 1-9 - Jinhe Gao, Guozheng Rao, Li Zhang, Yangzi Zhong:
PSPS: A pharmacological substances prediction system based on biomedical literature data. 1-5 - Ethan M. I. Johnson, Jingzhi Yu, Yu Deng, David S. Melnick, Sukhveer S. Sandhu, Farhad Ghamsari, Mozziyar Etemadi, Abel N. Kho:
Incorporating Intra-Operative Medication Information for Prediction of Post-Operative Atrial Fibrillation. 1-3 - Wei Zhu
The Dr-KGQA System for Automatically Answering Medication Related Questions in Chinese. 1-6 - Syeda Momina Tabish, Philip Polgreen
Identifying De Facto Prescription Norms in a Hospital Setting: A study with antibiotics. 1-11 - Omkar R. Patil, Wei Wang, Yang Gao, Zhanpeng Jin:
A Camera-Based Pulse Transit Time Estimation Approach Towards Non-Intrusive Blood Pressure Monitoring. 1-10 - Xing He
STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base. 1-4 - Hsiao-Ko Chang, Cheng-Tse Wu, Ji-Han Liu, Wee Shin Lim, Hui-Chih Wang
Early Detecting In-Hospital Cardiac Arrest Based on Machine Learning on Imbalanced Data. 1-10 - Fang Li, Mingqiang Wang
Systematic Design of Drug Repurposing-Oriented Alzheimer's Disease Ontology. 1-5 - Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Yaoyun Zhang, Buzhou Tang:
Assessing depression risk in Chinese microblogs: a corpus and machine learning methods. 1-5 - Karsten Gielis, Joren Kennes, Christophe De Dobbeleer, Steven Puttemans, Vero Vanden Abeele
Collecting Digital Biomarkers on Cognitive Health Through Computer Vision and Gameplay: an Image Processing Toolkit for Card Games. 1-12 - Yu Deng, Kevin Yu, Ethan M. I. Johnson, David S. Melnick, Sukhveer S. Sandhu, Mozziyar Etemadi, Abel N. Kho:
Effects Upon Postoperative Atrial Fibrillation Prediction of Varied Observation Time Windows. 1-3 - Celia Cintas
Towards neural abstractive clinical trial text summarization with sequence to sequence models. 1-3 - Manar D. Samad, Linlin Yin:
Non-linear regression models for imputing longitudinal missing data. 1-3 - Arshad Shaik, Wei Jin:
Biomedical Semantic Embeddings: Using hybrid sentences to construct biomedical word embeddings and its applications. 1-9 - Xi Yang, Tianchen Lyu, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu:
A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings. 1-3 - Feihong Yang, Jiao Li:
TestIME: A Tool for Testing Chinese Input Method Engines in Electronic Medical Record Entry Task. 1-2 - Wenchuan Wei, Sujit Dey:
Center of Mass Estimation for Balance Evaluation Using Convolutional Neural Networks. 1-7 - Lucie M. Gattepaille:
Using the WHO database of spontaneous reports to build joint vector representations of drugs and adverse drug reactions, a promising avenue for pharmacovigilance. 1-6 - Jingyi Shi, Jialin Zhang
An Association-Based Intrinsic Quality Index for Healthcare Dataset Ranking. 1-8 - Filipe Barata
Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks. 1-11 - Pengwei Hu, Shaochun Li, Yu-An Huang
Predicting Hospital Readmission of Diabetics using Deep Forest. 1-2 - Cheng Gao, Abel N. Kho, Sarah Osmundson, Bradley A. Malin, You Chen:
Obstetric Patients with Repetitious Hospital Location Transfers Have Prolonged Stays. 1-8 - Koudai Ogura, Masashi Sugano
VR Application for Visual Field Measurement of Unilateral Spatial Neglect Patients Using Eye Tracking. 1-2 - Sudip Vhaduri, Theodore G. van Kessel, Bongjun Ko, David Wood, Shiqiang Wang, Thomas Brunschwiler:
Nocturnal Cough and Snore Detection in Noisy Environments Using Smartphone-Microphones. 1-7 - Sudip Vhaduri, Thomas Brunschwiler:
Towards Automatic Cough and Snore Detection. 1 - Yi-Jing Li, Li-Hui Lee, Yu-Ting Cheng, Yang-Yu Ou:
Design and Evaluation of a Healthcare Management Terminology Mobile Learning Application. 1-9 - Pierpaolo Tommasi, Stéphane Deparis, Alessandra Pascale:
HWProfile UI: facilitating the exploration of a patient centered risk model. 1-2 - Jonathan Rubin, Sayed Mazdak Abulnaga
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation. 1-7 - Jochen Meyer
Toy or tool? Activity trackers for the assessment of physical activity in the wild. 1-9 - Xuedong Li, Yue Wang
Improving Rare Disease Classification Using Imperfect Knowledge Graph. 1-2 - Liwei Wang, Lei Luo, Yanshan Wang
Information Extraction for Populating Lung Cancer Clinical Research Data. 1-2 - Sicheng Zhou:
Extracting Phenotypes of Cancer Patients from Electronic Health Records. 1-2 - Huanmei Wu
Family-HealthVault: A Group Caring and PHI Sharing Framework among Family Members. 1-8 - Eryu Xia, Ke Wang, Yuan Zhang, Yiqin Yu, Jing Mei, Shaochun Li:
A Data-driven Clinical Decision Support System for Acute Coronary Syndrome Patient Similarity. 1-6 - Andrew Bell, Alexander Rich, Melisande Teng, Tin Oreskovic, Nuno B. Bras, Lénia Mestrinho, Srdan Golubovic, Ivan Pristas, Leid Zejnilovic
Proactive advising: a machine learning driven approach to vaccine hesitancy. 1-6 - Xing He
Towards an Interactive Visualization for Dietary Supplement Knowledge Graph. 1 - Lisiane Pruinelli, Bethany Stai, Sisi Ma, Timothy Pruett, György J. Simon:
A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data. 1-8 - Sebastian Daberdaku
Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data. 1-3 - Samuel Osebe, Aisha Walcott, Komminist Weldemariam, Charles M. Wachira, Fiona Matu, Nelson Bore, David Kaguma, Juliet Mutahi, William Ogallo, Celia Cintas
Enabling Care Continuity using a Digital Health Wallet. 1-7 - Yichen Ding, W. Nick Street, Ling Tong, Shangguan Wang:
An Ensemble Method for Data Imputation. 1-3 - Olivia Choudhury, Issa Sylla, Noor Fairoza, Amar Das:
A Blockchain Framework for Ensuring Data Quality in Multi-Organizational Clinical Trials. 1-9 - Qiuling Suo, Liuyi Yao, Guangxu Xun
Recurrent Imputation for Multivariate Time Series with Missing Values. 1-3 - Peiyao Li, Desen Cao, Zhengbo Zhang, Zhicheng Yang
MobiCardio: A Clinical-grade Mobile Health System for Cardiovascular Disease Management. 1-6 - Chao Yu, Guoqi Ren, Jiming Liu:
Deep Inverse Reinforcement Learning for Sepsis Treatment. 1-3 - Duc Thanh Anh Luong, Varun Chandola:
Learning Deep Representations from Clinical Data for Chronic Kidney Disease. 1-10 - Yuan Zhang, Changsheng Ma, Jianzeng Dong
Insight Ease: A System for Automated Data-driven Healthcare Insight Generation. 1-7 - Robin De Croon
Motivational Design Techniques to Increase Adherence to a Telemonitoring Therapy A Study with Adolescent Pectus Patients. 1-12 - Elke Beck, Kai von Holdt, Jochen Meyer, Susanne Boll:
Sneaking Physical Exercise into Sedentary Work Life: Design Explorations of Ambient Reminders in Opportune Moments. 1-7 - Go Eun Heo, Qing Xie
A Hybrid Semantic Relatedness Algorithm by Entity Co-Occurrence and Specialized Word Embeddings. 1-2 - Xinmeng Zhang, Chao Yan, Cheng Gao, Bradley A. Malin, You Chen:
XGBoost Imputation for Time Series Data. 1-3 - Cheng Gao, Chao Yan, Sarah Osmundson, Bradley A. Malin, You Chen:
A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records. 1-7 - Yifan Peng
A self-attention based deep learning method for lesion attribute detection from CT reports. 1-5 - Sian Liu, Jingzhi Yu, Jing Zhuang, Keming Yu:
A Method to Determine Angle Kappa via Automated Shape Recognition from Surgical Images. 1-3 - Enliang Xu, Shiwan Zhao, Jing Mei, Eryu Xia, Yiqin Yu, Songfang Huang:
Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention. 1-2 - Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Using Dual Networks for the Integration of Clinical and Biological Data. 1-2 - Yushan Zhu
Identifying Privacy Leakage from User-Generated Content in An Online Health Community-A deep learning approach. 1-2 - Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara
Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. 1-9 - Steven Mertens, Frederik Gailly, Diederik Van Sassenbroeck, Geert Poels
Comparing strategies to generate experience-based clinical process recommendations that leverage similarity to historic data. 1-11 - Zhenjie Cao, Zhicheng Yang
Deep Learning Based Lesion Detection For Mammograms. 1-3 - Jing Mei, Enliang Xu, Bibo Hao, Yuan Zhang, Yiqin Yu, Shaochun Li:
Translational Health Informatics from Risk Prediction Modeling to Risk Assessment Service. 1-2 - Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi:
Time-aware Adversarial Networks for Adapting Disease Progression Modeling. 1-11 - Yiheng Liang:
Identity Verification and Management of Electronic Health Records with Blockchain Technology. 1-3 - Yue Gu
Multimodal Attention Network for Trauma Activity Recognition from Spoken Language and Environmental Sound. 1-6 - Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu:
Detect Attributes of Medical Concepts via Sequence Labeling. 1-2 - Hao Yu, Ying Zhang, Jin Chen, Shiqiang Tao, Taylor D. Smith, Guo-Qiang Zhang, Xiaojin Li
Insomnia Prediction Using Temporal Feature of Spindles. 1-8 - Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. 1-10 - Shen Yan:
Modeling Behavioral Traits and Well-being Using Human Biosignals: Challenges and Methods. 1-2 - Ping Sun:
MICE-DA: A MICE method with Data Augmentation for missing data imputation in IEEE ICHI 2019 DACMI Challenge. 1-3 - Georgina Moulton, Paul Taylor
Learning Health Systems. 1-2 - Qingyu Chen, Yifan Peng
BioSentVec: creating sentence embeddings for biomedical texts. 1-5 - Ziwei Fan
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. 1-3 - Yueping Sun, Li Hou, Lu Qin, Jiao Li, Qing Qian:
RCorp: a Resource for Chemical Disease Semantic Extration in Chinese. 1-2 - Kejing Yin
Context-Aware Imputation for Clinical Time Series. 1-3 - Wenxiao Jia, Xiang Li, Kewei Tan, Guotong Xie:
Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network. 1-4 - Taylor D. Smith, Victor Ortiz-Soriano, Javier A. Neyra, Jin Chen:
Identifying Acute Kidney Injury Trajectory Phenotypes Associated with Hospital Mortality. 1-11 - Sirisha Dharmavaram, Arshad Shaik, Wei Jin:
Mining Biomedical Data for Hidden Relationship Discovery. 1-10 - Zilu Liang
Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands. 1-3 - Gongbo Liang
GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. 1-11 - Marius Koller, Philip Schäfer, Daniel Lochner, Gerrit Meixner
Rich Interactions in Virtual Reality Exposure Therapy: A Pilot-Study evaluating a System for Presentation Training. 1-11 - Yang Yang, Wei-Wei Tong, Zhangsuo Liu:
A Machine Learning Model to Characterize Chronic Kidney Disease with Metabolomics Data. 1-6 - Duo Helen Wei, Casey N. Ta, Harold Alan Pincus, Chunhua Weng:
Combining Clinical Data and Domain Knowledge for Analyzing Mental Disorder Concept Relatedness and Usage. 1-6 - Matteo Mantovani
Discovering and Analyzing Trend-Event Patterns on Clinical Data. 1-10 - Chao Yan, Cheng Gao, Xinmeng Zhang, You Chen, Bradley A. Malin:
Deep Imputation of Temporal Data. 1-3 - James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash
eXITs: An Ensemble Approach for Imputing Missing EHR Data. 1-3 - Enliang Xu, Jing Mei, Jing Li, Yiqin Yu, Songfang Huang, Yong Qin:
From EHR Data to Medication Adherence Assessment: A Case Study on Type 2 Diabetes. 1-8 - Yanni Kang, Xiaoyu Jia, Xiang Li, Guotong Xie:
Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation. 1-2 - Xuan Zhang, Guangyu Wang, Ning Chen, Ting Chen:
Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection. 1-9 - Maximilian Kurscheidt
Augmented Reality Exposure Therapy with Tactile Feedback for Small Animal Phobia : Hardware Concept and User Study Design. 1-7 - Lisiane Pruinelli, Bonnie L. Westra, Timothy Pruett, Karen A. Monsen, Cynthia R. Gross, David R. Radosevich, Sisi Ma, György J. Simon:
A Multi-Dimensional General Health Status Concept to Predict Liver Transplant Mortality. 1-5 - Jing Li, Jing Mei, Shaochun Li:
Accelerating Clinical Practice Guideline Implementation for Chronic Disease Management. 1-2 - Yuanbo Shi, Zhengbo Zhang, Ning Han, Peiyao Li, Zhicheng Yang
Robust Assessment of ECG Signal Quality for Wearable Devices. 1-3 - Masahiro Hayashitani, Eiji Yumoto, Toshinori Hosoi, Masahiro Kubo, Hiroyuki Hiramitsu, Kensuke Kato, Mayumi Moriguchi:
Field Trial of Aspiration Pneumonia Predicion based on Electronic Medical Records. 1-2 - Luqi Li, Li Hou:
Combined Attention Mechanism for Named Entity Recognition in Chinese Electronic Medical Records. 1-2 - Yucong Lin, Cheng Ma, Daiqi Gao, Zihao Fan, Zijie Cheng, Zheyu Wang, Sheng Yu:
Long distance entity relation extraction with article structure embedding and applied to mining medical knowledge. 1-7 - Xi Yang, Yeo-Jin Kim, Farzaneh Khoshnevisan, Yuan Zhang, Min Chi:
Missing Data Imputation for MIMIC-III using Matrix Decomposition. 1-3 - Xiao Xu, Junmei Wang, Xian Xu, Yuyao Sun, Quanhe Chen, Xiang Li, Guotong Xie:
Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features. 1-3 - Nethra Ganesh Chigateri, Ngaire Kerse, Bruce A. MacDonald:
Novel Algorithm for Identification and Differentiation of Shuffling from Walking. 1-3 - Ou Stella Liang
Towards Safer Prescription for Gestational Use. 1 - Jonas Geuens, Luc Geurts, Kathrin Gerling, Robin De Croon
A Dyad of Lenses for the Motivational Design of mHealth: Bridging the Gap between Health Theory and App Design. 1-12 - Xiaoshuang Liu, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie:
IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II. 1-2 - Fahao Qiao, Jinshan Tang:
An Image Contrast Enhancement Algorithm in the Wavelet Domain with Visual Feature for Visually Impair. 1-5 - Shijie Song
The Role of Health Literacy on Credibility Judgment of Online Health Misinformation. 1-3 - Shikha S. Modi:
Electronic Health Records Value Analysis. 1 - Yuan Zhang, Peiyao Li, Xiaoyan Zhao, Eryu Xia, Jing Mei, Zhicheng Yang
Predicting Prevalence of Respiratory Disease with Multi-task Gaussian Process: A Case Study in East China. 1-3 - Syeda Momina Tabish, Padmini Srinivasan:
Identifying De Facto Prescription Norms from Clinical Data. 1 - Michal Monselise
Identifying Important Risk Factors Associated with Vehicle Injuries Using Driving Behavior Data and Predictive Analytics. 1-10 - Karsten Gielis:
Assessment of Cognitive Performance in Elderly Life via Meaningful Play. 1-2 - Sicheng Zhou, Yunpeng Zhao, Rubina F. Rizvi, Jiang Bian, Ann F. Haynos, Rui Zhang:
Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. 1-4 - Ali Jazayeri, Ou Stella Liang
Interpatient Similarity-based Imputation of Missing Data in Electronic Health Records. 1-3 - Mingda Li, Jinhe Shi, Yi Chen:
Analyzing Patient Decision Making in Online Health Communities. 1-8
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-03 23:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: