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ORCID10th ICHI 2022: Rochester, MN, USA
- 10th IEEE International Conference on Healthcare Informatics, ICHI 2022, Rochester, MN, USA, June 11-14, 2022. IEEE 2022, ISBN 978-1-6654-6845-9
- Daniel Gartner, Elizabeth M. Williams
, Paul R. Harper:
Prescriptive Healthcare Analytics: A Tutorial on Discrete Optimization and Simulation. 1-3 - Ali Jazayeri, Michal Monselise, Niusha Jafari, Nikita Nikita, Christopher C. Yang, Grace Lu-Yao:
A Network-based Modeling Approach to Identify the Common Disease Classes in Patients with Late-stage Prostate Cancer. 1-8 - Xiaoyu Liu, Susan McRoy:
Visualizing the Interpretation of a Criterion-Driven System that Automatically Evaluates the Quality of Health News: An Exploratory Study of Two Approaches. 1-3 - Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Joseph Boothby, Xinghui Zhao, Tyler Petty:
Electro-Mechanical Data Fusion for Heart Health Monitoring. 1-6 - Ahmad Ayad, Marian Frei, Anke Schmeink:
Efficient and Private ECG Classification on the Edge Using a Modified Split Learning Mechanism. 1-6 - Chonghao Zhang, Luca Bonomi:
Mitigating Membership Inference in Deep Learning Applications with High Dimensional Genomic Data. 1-3 - Markus Kreuzthaler, Bastian Pfeifer, Stefan Schulz:
Terminology Expansion via Co-occurrence Analysis of Large Clinical Real-World Datasets. 1-2 - Gabriel Demuth, Curtis B. Storlie:
A Novel Joint Longitudinal Model for Predicting Post-ICU Anemia. 1-3 - Tossapol Pomsuwan, Alex Alves Freitas:
New Variations of Random Survival Forests and Applications to Age-Related Disease Data. 1-10 - Yang Ren, Dezhi Wu, Ana Lòpez-De Fede:
Identification and Prediction of Low-Birthweight Baby Outcomes and Mom Risk Factors. 1-2 - Elizabeth M. Williams, Daniel Gartner, Paul R. Harper:
Linking Predictive and Prescriptive Analytics of Elderly and Frail Patient Hospital Services. 1 - Luca Bonomi, Liyue Fan:
Sharing Time-to-Event Data with Privacy Protection. 11-20 - Xinpeng Shen, Sisi Ma, Pedro J. Caraballo, Prashanthi Vemuri, György J. Simon:
A novel method for handling Missing Not at Random Data in the electronic health records. 21-26 - Fateme Akbari, Kamran Sartipi:
A Transformer-based Model for Older Adult Behavior Change Detection. 27-35 - Sungrim Moon, Huan He, Jungwei Fan:
Effects of Information Masking in the Task-Specific Finetuning of a Transformers-Based Clinical Question-Answering Framework. 36-41 - Sourav Dey Roy, Priya Saha, Niharika Nath, Abhijit Datta, Mrinal Kanti Bhowmik:
AGMC-TU Pap-Smear Cytological Image Dataset: Creation, Annotation, and Analysis towards Early Detection of Cervical Cancer. 42-47 - Zachariah Douglas, Haifeng Wang:
Bayesian optimization-derived batch size and learning rate scheduling in deep neural network training for head and neck tumor segmentation. 48-54 - Muhammad Zubair Khan, Yugyung Lee:
Deep Ensemble Network with Meta-Model Architecture to Early Detect the Vascular Damage Caused by Retinopathy. 55-59 - Shengjie Bi, David Kotz:
Eating detection with a head-mounted video camera. 60-66 - Bhoomika Bhatia, Oluwadamilola Arinde, Ziying Tang, Jinjuan Feng, Sonia Lawson:
Visualization and Qualitative Analysis of Rehabilitation Exercises Based on a Mobile App. 67-73 - Noushin Salek Faramarzi, Akanksha Dara, Ritwik Banerjee:
Combining Attention-based Models with the MeSH Ontology for Semantic Textual Similarity in Clinical Notes. 74-83 - Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker:
A comparison of few-shot and traditional named entity recognition models for medical text. 84-89 - Kurt Miller, Sunyang Fu, Kris Abah, Andrea Maraboto Escarria, Kevin J. Peterson, Hongfang Liu, Lacey Hart, Nelly Tan, Ming Huang:
Aspect-based Sentiment Analysis of Radiology Patient Experience Surveys: A Cohort Study. 90-96 - Can Zheng, Yanshan Wang, Xiaowei Jia:
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. 97-103 - Maksims Kazijevs, Furkan A. Akyelken, Manar D. Samad:
Mining Social Media Data to Predict COVID-19 Case Counts. 104-111 - Rui Li, Jing Gao:
Multi-modal Contrastive Learning for Healthcare Data Analytics. 120-127 - Harun Pirim, Miaolin Fan, Haifeng Wang:
Dynamic Network Connectivity Analysis for Understanding Attention Deficit Hyperactivity Disorder. 128-133 - Devanshi N. Damani, Anoushka Kapoor, Priyadharshini Sivasubramaniam, Nasibeh Farahani, Moein Enayati, Jeffrey B. Geske, Michael J. Ackerman, Johan M. Bos, Kalyan Pasupathy, Philip A. Araoz, Shivaram Poigai Arunachalam, Adelaide M. Arruda-Olson:
Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy. 134-137 - Zehao Yu, Xi Yang, Yiqing Chen, Ruogu Fang, William R. Hogan, Yan Gong, Yonghui Wu:
Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data. 138-142 - Michal Muszynski, Jeffrey Okyere, Ruchi Mahindru, Thomas Brunschwiler:
Cough Diary based on Sound Classification, Source Validation and Event Detection. 143-150 - Ge Gao, Farzaneh Khoshnevisan, Min Chi:
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. 151-162 - Akhil Shiju, Zhe He:
Classifying Drug Ratings Using User Reviews with Transformer-Based Language Models. 163-169 - Kanika Sood, Prathyusha Gundlapally:
Risk-Based Breast Cancer Prognosis Using Minimal Patient Characteristics. 170-181 - Yumna Anwar, Sean M. Mullan, Octav Chipara, Alberto M. Segre, Philip Polgreen:
Audio-Based Cough Detection in Clinic Waiting Rooms. 182-191 - Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam Singer, Mark Henry, Henry C. Thode:
EventScore: An Automated Real-time Early Warning Score for Clinical Events. 192-200 - Jiacheng Liu, Meghna Singh, Lisa Kirkland, Jaideep Srivastava:
Reduce the Cold Start of COVID-19 In-hospital Mortality Prediction Models via Transfer Learning. 201-210 - Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Michelle M. Mielke, Jennifer St Sauver, Ronald C. Petersen, Sunghwan Sohn:
Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification. 211-216 - Sagnik Dakshit, Barbara Mukami Maweu, Sristi Dakshit, Balakrishnan Prabhakaran:
Core-set Selection Using Metrics-based Explanations (CSUME) for multiclass ECG. 217-225 - Florian Vögtle, Peter Haddawy, Myat Su Yin, Thomas Barkowsky, Dominique Bicout, Mores Prachyabrued, Saranath Lawpoolsri:
A Collaborative Platform Supporting Distributed Teams in Visualization and Analysis of Infectious Disease Data. 226-232 - Amila Kugic, Leon Magnus Pojian, Larissa Marije Hammer, Stefan Schulz, Markus Kreuzthaler:
Alcohol Status Standardization from Clinical Real World Data with Transformer Architectures. 233-238 - Kevin Gorman, Ilia Ratsev, Louise Lu, Casey Overby Taylor:
An Interactive Visualization Tool for Medication (Re)fill Adherence: A Case Study of Pharmacy Claims-derived Adherence Measures in Asthmatics. 239-244 - Peichang Shi, Aryya Gangopadhyay, Ping Yu:
LIVE: A Local Interpretable model-agnostic Visualizations and Explanations. 245-254 - Miguel Gervilla, Flavien Lécuyer, Thomas Lehoux, Julien Anthouard, Luisa Weiner, Christelle Porche, Antonio Capobianco:
Design of a Virtual Cocaine Consumption Scenario for Craving Study. 255-263 - Khaled Ahmed, Mohamed Hassan:
tinyCare: A tinyML-based Low-Cost Continuous Blood Pressure Estimation on the Extreme Edge. 264-275 - Kimia Hemmatirad, Morteza Babaie, Mehdi Afshari, Danial Maleki, Mahjabin Saiadi, Hamid R. Tizhoosh:
Quality Control of Whole Slide Images using the YOLO Concept. 282-287 - Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. 288-296 - Danissa V. Rodriguez, Katharine Lawrence, Son Luu, Brian Chirn, Javier Gonzalez, Devin M. Mann:
PAMS - A Personalized Automatic Messaging System for User Engagement with a Digital Diabetes Prevention Program. 297-308 - Sudip Vhaduri, Sayanton V. Dibbo, Chih-You Chen:
Predicting A User's Demographic Identity from Leaked Samples of Health-Tracking Wearables and Understanding Associated Risks. 309-318 - Chenhan Xu, Huining Li, Zhengxiong Li, Xingyu Chen, Aditya Singh Rathore, Hanbin Zhang, Kun Wang, Wenyao Xu:
The Visual Accelerometer: A High-fidelity Optic-to- Inertial Transformation Framework for Wearable Health Computing. 319-329 - Rainer Lutze:
Practicality of Automatic Monitoring Sufficient Fluid Intake for Older People. 330-336 - Phillip Ma, Yijun Shao, Yan Cheng, Youxuan Ling, Qing Zeng-Treitler, Stuart J. Nelson:
Modeling the Impact of Social Determinants of Health on COVID Behaviors in Older Adults using the All of Us Dataset. 337-347 - Daniel Diethei, Ashley Colley, Julian Wienert, Johannes Schöning:
Different Length, Different Needs: Qualitative Analysis of Threads in Online Health Communities. 348-356 - Yun Qu, Othelia E. Lee, Albert Park:
A Qualitative Study of Family Caregivers' Technology Use in Alzheimer's Disease Care. 363-372 - Jiawei Zhou, Rosa I. Arriaga, Hongfang Liu, Ming Huang:
A Tale of Two Perspectives: Harvesting System Views and User Views to Understand Patient Portal Engagement. 373-383 - Zainab A. Balogun, Tera L. Reynolds:
Patient Portal Adoption, Use, and Satisfaction among U.S. Adults in Late-stage COVID-19 Pandemic. 384-392 - Laura Pullum, Olufemi A. Omitaomu, Mohammed M. Olama, Addi Thakur Malviya, Ozgur Ozmer, Hilda B. Klasky, P. Teja Kuruganti, Merry Ward, Jeanie M. Scott, Angela Laurio, Brian C. Sauer, Frank Drews, Jonathan R. Nebeker:
A Systematic Review of Healthcare Information Technology Anomaly Classification. 393-400 - Maximilian Kurscheidt, Kirsten Schaffer, Patrick Slevin, Maximilian Westers, Yasmin Hollenbenders, Wendelin Schramm:
Human-centered Design for a Chronic Disease Management System: An Explorative Case for Cystic Fibrosis. 401-411 - Md. Jobair Hossain Faruk, Shashank Trivedi, Mohammad Masum, Maria Valero, Hossain Shahriar, Sheikh Iqbal Ahamed:
A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques. 412-421 - Gaurav N. Pradhan, Kate M. Hagen, Michael J. Cevette, Jan Stepánek:
Oculo-Cognitive Addition Test: Quantifying Cognitive Performance During Variable Cognitive Workload Through Eye Movement Features. 422-430 - Nicolas J. Lehmann, Muhammed-Ugur Karagülle, Pauline Meurer, Elen Niedermeyer, Petrit Vidishiqi, Laura Pysz, Marlene Kreß, Lea R. Muth, Hermann Feldmeier, Bodo Randrianasolo Sahondra, Oliva Rabozakandraina Tiana Onintsoa, Agnès Voisard, Angela Schuster:
Designing AINA - Intercultural Human-Centered Design of an AI-based Application for Supporting the Diagnosis of Female Genital Schistosomiasis. 431-441 - Martin S. Laursen, Jannik S. Pedersen, Søren A. Just, Thiusius R. Savarimuthu, Brian Blomholt, Jakob K. H. Andersen, Pernille J. Vinholt:
Factors Facilitating the Acceptance of Diagnostic Robots in Healthcare: A Survey. 442-448 - Maximilian Kaluschke, Myat Su Yin, Peter Haddawy, Siriwan Suebnukarn, Gabriel Zachmann:
The Impact of 3D Stereopsis and Hand-Tool Alignment on Effectiveness of a VR-based Simulator for Dental Training. 449-455 - Ravi Bajracharya, Richard Wallace, Jans Aasman, Parsa Mirhaji:
Entity Event Knowledge Graph for Powerful Health Informatics. 456-460 - Jingqi Wang, Yaoyun Zhang, Bin Lin, Huy Anh Pham, Long He, Jingcheng Du, Frank J. Manion:
LANN: an Integrated Online Annotation Tool for Information Extraction. 461-464 - Shiqiang Tao, Wei-Chun Chou, Jianfu Li, Jingcheng Du, Pritham Ram, Rashmie Abeysinghe, Hua Xu, Xiaoqian Jiang, Peter W. Rose, Lucila Ohno-Machado, Guo-Qiang Zhang:
IMI-CDE: an interactive interface for collaborative mapping of study variables to common data elements. 465-468 - Michal Monselise, Christopher C. Yang:
AI for Social Good in Healthcare: Moving Towards a Clear Framework and Evaluating Applications. 470-471 - Huixue Zhou:
Developing Natural Language Processing to Extract Complementary and Integrative Health Information from Electronic Health Record Data. 474-475 - Zhongran Niu:
Physical Activity Knowledge Representation in Electronic Health Records. 476-477 - Zhecheng Sheng:
NLP System for Mining Social Determinant of Health From Clinical Notes and its Fairness Evaluations. 478 - Kurt Miller:
Comprehension of Contextual Semantics Across Clinical Healthcare Domains. 479-480 - Yuqi Wu, Dezhi Wu, Sudha Xirasagar:
D-Dimer Elevation Matters to Predict COVID-19 Severity: A Machine Learning Approach. 481-482 - Tianchu Lyu, Chen Liang:
Predict Pregnancy Outcomes in the COVID-19 Pandemic Using Electronic Health Records and Machine Learning Approach. 483 - Abhishek Aggarwal, Xiaoming Li, Shan Qiao:
Using a Social, Role-playing, Simulation-Game to Build Resilience in Adolescents. 484 - Arif Ahmed, Gondy Leroy:
Health Information Delivery Using Audio. 485 - Nafees Qamar:
A Mobile Application for Alzheimer's Caregivers. 486-488 - Patrizia Vizza, Giuseppe Tradigo, Pietro H. Guzzi, Barbara Puccio, Mattia Prosperi, Carlo Torti, Pierangelo Veltri:
Annotations of Virus Data for Knowledge Enrichment. 492-494 - Shi Yan, Caroline Constant, Taghi Ramazanian, Hilal Maradit Kremers, A. Noelle Larson:
Automated Cobb Angle Measurement in Adolescent Idiopathic Scoliosis: Validation of a Previously-Published Deep Learning Method. 495-496 - Elham Sagheb, Taghi Ramazanian, A. Noelle Larson, Sunghwan Sohn, Hilal Maradit Kremers:
Automated Detection of Type of Scoliosis Surgery from Operative Notes Using Natural Language Processing. 497-498 - Alexander C. Murph, Curtis B. Storlie:
Bayesian Change Point Detection for Mixed Data with Missing Values. 499-501 - Meghna Singh, Jiacheng Liu, Lisa Kirkland, Jaideep Srivastava:
Decompensation Prediction for Hospitalized COVID-19 Patients. 502-504 - Patrizia Vizza, Mattia Cannistrà, Giuseppe Tradigo, Giuseppe Lucio Cascini, Pietro Hiram Guzzi, Pierangelo Veltri:
DeLaBE: A Deep Learning architecture for Bio-images enhancing. 505-507 - Prajwal Mani Pradhan, Matt Loth, Peter J. Tonellato, Yue Liang, Terrence J. Adam, Chin-Lin Chi, Pui Ying Yew, Jennifer G. Robinson:
Does comorbidity matrix provide similar amount of predictive information: Comparisons from Charlson and Elixhauser using Deep Learning. 508-510 - Suhyun Park, Jenna L. Marquard, Robin Austin, David S. Pieczkiewicz, Connie Delaney:
Usability of Electronic Health Records from Nurses' Perspectives: A Systematic Review. 511-512 - Bruno Thiao-Layel, Vianney Jouhet, Guillaume Blin, Gayo Diallo:
Enabling Biomedical Semantic Knowledge Resource's Paths with the K-Ware Platform. 513-514 - Ray Oian, Sunyang Fu, Hongfang Liu:
Evaluation of Document-Level Identification of Pulmonary Nodules in Radiology Reports Using FLAIR Natural Language Processing Framework. 515-516 - Liwei Wang, Sunyang Fu, Andrew Wen, Xiaoyang Ruan, Huan He, Sijia Liu, Sungrim Moon, Michelle Mai, Irbaz Bin Riaz, Nan Wang, Ping Yang, Hua Xu, Jeremy L. Warner, Hongfang Liu:
Evaluation of mCODE Coverage in EHR: a Scoping Review of Cancer Natural Language Processing. 517-518 - Justus Purat, Nicolas J. Lehmann, Muhammed-Ugur Karagülle, Agnès Voisard:
HaLowNet - A WiFi HaLow network-based information system for the provision of multi-sided applications for medical emergency scenarios. 519-521 - Borlli Michel Jonas Somé, Ismaila Ouedraogo, Roland Benedikter, Rasmané Yameogo, Ghislain Atemezing, Ibrahim Traoré, Gayo Diallo:
Improving Covid-19 vaccine literacy among undergraduate students in Burkina Faso. 522-523 - Lalitha Donga, Rajendra K. Raj, Sumita Mishra:
Internet of Healthcare Things (IoHT): Towards a Digital Chain of Custody. 524-526 - Alex Qin, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
Machine Learning for Predicting Cancer Severity. 527-529 - Huan He, Sunyang Fu, Liwei Wang, Andrew Wen, Sijia Liu, Hongfang Liu:
MedTator: A Serverless Web-based Tool for Corpus Annotation. 530-531 - Nan Wang, Ming Huang, Jungwei Fan:
Mining Transportation Issues from Patient Portal Messages. 532-533 - Benjamin C. Knoll, Reed McEwan, Raymond L. Finzel, Greg M. Silverman, Rui Zhang, Serguei V. S. Pakhomov, Genevieve B. Melton:
MTAP - A Distributed Framework for NLP Pipelines. 537-538 - Yue Hao, Guoray Cai:
Multi-perspective Characterization of Anaphylactic Risk for COVID-19 Vaccination - A Visual Analytic Approach. 539-541 - Patrizia Vizza, Giuseppe Tradigo, Raffaele Giancotti, Francesco Scala, Pietro H. Guzzi, Concetta Irace, Sergio Flesca, Pierangelo Veltri:
On the identification of PoIs in glucosimeter data. 542-544 - Raunak Jain, Mrityunjai Singh, A. Ravishankar Rao, Rahul Garg:
Machine Learning Models To Predict Length Of Stay In Hospitals. 545-546 - Nguyen Duy Thong Tran, Carson K. Leung, Evan W. R. Madill, Phan Thai Binh:
A Deep Learning Based Predictive Model for Healthcare Analytics. 547-549 - Haozuo Zhao, Haitao Chu, Sicheng Zhou, Fang Yu, Xianghua Luo, Rui Zhang:
Racial Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias from the Disease Progression Perspective. 550-552 - Nicolas J. Lehmann, Muhammed-Ugur Karagülle, Lea R. Muth, Stefan Schmid, Agnès Voisard, Laura Rohwedder, Peter Böttcher:
SurgeRate - An approach to the evaluation of the performance of veterinary surgeons. 553-555 - Nansu Zong, Victoria Ngo:
Computational Drug Target Prediction: Benchmark and Experiments. 559-560 - Philipp Burckhardt, Saba Al-Sayouri, Rema Padman:
Data Science for Healthcare via an E-Learning Statistics Platform. 564-566 - Regina Merine, Saptarshi Purkayastha:
Risks and Benefits of AI-generated Text Summarization for Expert Level Content in Graduate Health Informatics. 567-574 - Janusz Wojtusiak, Hua Min:
From Undergraduate to Doctoral Health Informatics Training: A Data Focus. 575-584 - Jay S. Patel, Bari Dzomba, Huanmei Wu:
"Think Outside of Box" - Ten Commandments in Providing Optimal Health Informatics Education. 585-590 - Daniel Gartner, Izabela Spernaes, Tracey J. England, Doris A. Behrens, Joanne Buchanan, Paul R. Harper:
Evaluation of Participants' Reaction and Learning in a Taught Analytics and Modelling Academy Program in U.K.'s National Health Service. 591-596 - Hazal Türkmen, Oguz Dikenelli, Cenk Eraslan, Mehmet Cem Çalli, Suha Sureyya Ozbek:
Developing Pretrained Language Models for Turkish Biomedical Domain. 597-598 - Gregor Stiglic, Kasandra Musovic, Lucija Gosak, Nino Fijacko, Primoz Kocbek:
Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare. 599-605 - Yan Hu, Yong Chen, Hua Xu:
Improving Sentence Classification in Abstracts of Randomized Controlled Trial using Prompt Learning. 606-607 - Jianping He, Fang Li, Xinyue Hu, Jianfu Li, Yi Nian, Jingqi Wang, Yang Xiang, Qiang Wei, Hua Xu, Cui Tao:
Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning. 608-609 - Huixue Zhou, Greg M. Silverman, Zhongran Niu, Jenzi Silverman, Rui Zhang, Roni Evans, Robin Austin:
Annotating Music Therapy, Chiropractic and Aquatic Exercise Using Electronic Health Record. 610-611 - Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li:
Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. 612-613 - Zhecheng Sheng, Emma Bollig, Jennifer Granick, Rui Zhang, Amanda Beaudoin:
Canine Parvovirus Diagnosis Classification Utilizing Veterinary Free-Text Notes. 614-615 - Shuang Yang, Xi Yang, Tianchen Lyu, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yi Guo, Yonghui Wu, Jiang Bian:
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing. 618-619 - Caitlin Duncan, Takayuki Nagai:
Characteristics of Symptom Tracking App Data and its Potential Use for XAI. 620-625 - Carson K. Leung, Evan W. R. Madill, Joglas Souza, Christine Y. Zhang:
Towards Trustworthy Artificial Intelligence in Healthcare. 626-632 - Primoz Godec, Blaz Zupan, Vesna Tanko, Martin Strazar:
Efficient Matching of Single Cells and Cell Types. 633-638 - Özgür Özmen, Hilda B. Klasky, Olufemi A. Omitaomu, Mohammed M. Olama, P. Teja Kuruganti, Laura Pullum, Addi Thakur Malviya, Merry Ward, Jeanie M. Scott, Angela Laurio, Brian C. Sauer, Frank Drews, Jonathan R. Nebeker:
Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs. 639-643 - Rosalia Tatano, Antonio Mastropietro, Enrico Busto, Francesco Vaccarino:
Sanity Check for Shapley values-based explanations of Deep Neural Networks Predictions. 644-646 - Jinan Fiaidhi, Sabah Mohammed, Petros Zezos:
An xAI Thick Data Assisted Caption Generation for Labeling Severity of Ulcerative Colitis Video Colonoscopy. 647-652 - Sabah Mohammed, Jinan Fiaidhi, Darien Sawyer:
Value-Based Healthcare Translational Data Analytics using the Problem Oriented Medical Record Graph Representation. 653-658 - Yang Ren, Dezhi Wu, Yan Tong, Ana Lòpez-De Fede, Sarah Gareau:
Improving Prediction and Risk Factor Analysis of Low Birthweight Baby Outcomes in a U.S. Hospital System. 659-663 - Yuqi Wu, Yang Ren, Dezhi Wu, Sudha Xirasagar, Joseph Johnson:
Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach. 664-668 - Stela Golovco, Matteo Mantovani, Carlo Combi, John H. Holmes:
Acute Kidney Injury Prediction with Gradient Boosting Decision Trees enriched with Temporal Features. 669-676
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