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ORCID11th ICHI 2023: Houston, TX, USA
- 11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, TX, USA, June 26-29, 2023. IEEE 2023, ISBN 979-8-3503-0263-9
- Haoyu Yang
, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. 1-11 - Steven Mertens, Frederik Gailly:
Supporting Physicians Through Prescriptive Process Monitoring. 12-20 - Matteo Mantovani, Andrea Caravati, Giuseppe Pozzi, Carlo Combi, Roberto Salvia:
A BPMN-based Framework to Manage ERAS-inspired Pathway for Patients Undergoing Pancreatic Surgery. 21-31 - Lin Li, Mimi Liu, Cong Lai, Weidong Ji, Kewei Xu, Yi Zhou:
Analysis of residual stones in patients and related influencing factors after percutaneous nephrolithotomy: a retrospective study. 32-39 - Michal Monselise, Christopher C. Yang:
Leveraging Social Support Types and Link Prediction for User Recommendation for Online Health Community in Pregnancy After Loss. 40-48 - Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang:
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. 49-57 - Yunzhe Xue, Olanrewaju Eletta, Justin W. Ady, Nell M. Patel, Advaith Bongu, Usman Roshan:
A Cascaded Neural Network System For Rating Student Performance In Surgical Knot Tying Simulation. 58-64 - Md. Motiur Rahman, Miad Faezipour, Smriti Bhatt, Sudip Vhaduri:
AHP-CM: Attentional Homogeneous-Padded Composite Model for Respiratory Anomalies Prediction. 65-71 - Yuhang Jiang, Ramakanth Kavuluru:
End-to-End n-ary Relation Extraction for Combination Drug Therapies. 72-80 - Liyue Fan, Luca Bonomi:
Mitigating Membership Inference in Deep Survival Analyses with Differential Privacy. 81-90 - Homa Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara:
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. 91-100 - Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng:
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. 101-110 - Shayan Fazeli, Alireza Samiei, Thomas D. Lee, Majid Sarrafzadeh:
Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition. 111-117 - Evilásio Costa Junior, Rossana Maria de Castro Andrade, Leonardo Sampaio Rocha:
Classification Graph to the Internet of Health Things Applications. 118-127 - Chen Lin, Jianghong Zhou, Jing Zhang, Carl Yang, Eugene Agichtein:
Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting. 128-137 - Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye:
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning. 138-144 - Minhaz Mahmud, Md. Rakibul Hasan, Reabal Najjar, Md. Zakir Hossain:
Which Features Are Useful in Machine Learning-Based COVID-19 Prognostication? A Meta-Analysis. 145-149 - Mirna Elizondo, Rasim Musal, June Yu, Jelena Tesic:
Long COVID Challenge: Predictive Modeling of Noisy Clinical Tabular Data. 150-161 - Degan Hao, Mohammadreza Negahdar:
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention. 162-167 - Chia-Hsuan Chang, Fang-Yu Chang, San-Yih Hwang, Christopher C. Yang:
Prompting for Few-shot Adverse Drug Reaction Recognition from Online Reviews. 168-175 - Yang Ren, Dezhi Wu, Aditya Khurana, George M. Mastorakos, Sunyang Fu, Nansu Zong, Jungwei Fan, Hongfang Liu, Ming Huang:
Classification of Patient Portal Messages with BERT-based Language Models. 176-182 - Kurt Miller, Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Ming Huang, Yanshan Wang:
Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision. 183-192 - Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang:
Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN. 193-199 - Yao-Shun Chuang, Chun-Teh Lee, Ryan Brandon, Trung Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji, Xiaoqian Jiang:
Extracting Periodontitis Diagnosis in Clinical Notes with RoBERTa and Regular Expression. 200-205 - Peikun Guo, Huiyuan Yang, Akane Sano:
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data. 206-213 - Jiaqi Guo, Marah M. Aqeel, Luotao Lin, Saul B. Gelfand, Heather A. Eicher-Miller, Anindya Bhadra, Erin Hennessy, Elizabeth A. Richards, Edward J. Delp:
Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults. 214-224 - Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li:
Spatial-Temporal Networks for Antibiogram Pattern Prediction. 225-234 - Sagnik Dakshit, Balakrishnan Prabhakaran:
CVAE-based Generator for Variable Length Synthetic ECG. 235-244 - Sagnik Dakshit, Balakrishnan Prabhakaran:
Twelve Lead Double Stacked Generalization for ECG Classification. 245-251 - Nickolas Littlefield, Hamidreza Moradi, Soheyla Amirian, Hilal Maradit Kremers, Johannes F. Plate, Ahmad P. Tafti:
Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative. 252-260 - Inyoung Jun, Sarah E. S. Leary, Jie Xu, Jiang Bian, Mattia Prosperi:
Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods. 261-267 - Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu:
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. 268-275 - Niki Efthymiou, George Retsinas, Panagiotis Paraskevas Filntisis, Christos Garoufis, Athanasia Zlatintsi, Emmanouil Kalisperakis, Vasiliki Garyfalli, Thomas Karantinos, Marina Lazaridi, Nikolaos Smyrnis, Petros Maragos:
From Digital Phenotype Identification To Detection Of Psychotic Relapses. 276-284 - Maira B. H. Moran, Larissa Oliveira, Marcelo Daniel Brito Faria, Luciana Freitas Bastos, Gilson A. Giraldi, José Firmino Nogueira Neto, Aura Conci:
A Lightweight Segmentation Method for Mandibular Canal Based on Arch Shape and Hough Transform. 285-291 - Yaohua Wang, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate:
Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients. 292-300 - Pouneh Abbasian, Hanif Zargarnezhad, Tracy Hammond:
Early Diagnosis of Mild Cognitive Impairment Using Deep Neural Network with Single and Multi-input Analysis. 301-310 - Julie Jiang, Kristina Lerman, Emilio Ferrara:
Zero-Shot Meta-Learning for Small-Scale Data From Human Subjects. 311-320 - Arthur Ricardo De Sousa Vitória, Adriel Lenner Vinhal Mori, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho:
Live Births Forecasting Across Health Regions of Goiás Using Artificial Neural Networks: A Clustering Approach. 321-329 - Yunfan Li, Himanshu Gupta, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson:
Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy. 330-337 - Hilda B. Klasky, Özgür Özmen, Olufemi A. Omitaomu, Mohammed M. Olama, Merry Ward, Angela Laurio, Jonathan R. Nebeker:
Towards a Comparative Assessment of Data-Driven Process Models in Health Information Technology. 338-343 - Yiming Li, Xueqing Peng, Jianfu Li, Suyuan Peng, Donghong Pei, Cui Tao, Hua Xu, Na Hong:
Development of a Natural Language Processing Tool to Extract Acupuncture Point Location Terms. 344-351 - Sara Comai, Lorenzo Carpaneto, Andrea Masciadri, Giuseppe Pozzi, Fabio Salice:
Sleep Monitoring: Enriching the Traditional Approach by Sensor-collected Data. 352-360 - Andri Färber, Alexandre de Spindler, Adrian Moser, Gerhard Schwabe:
Closing the Loop for Patients with Chronic Diseases - from Problems to a Solution Architecture. 361-370 - Dirk Queck, Iannis Albert, Michelle Turner, Georg Volkmar, Rainer Malaka, Marc Herrlich:
(Non-)Physiological Data for Wearables in VR Sport Applications and Exergames. 371-380 - Ming Huang, Aditya Khurana, George M. Mastorakos, Jiawei Zhou, Nansu Zong, Yue Yu, Julie E. Prigge, Christi A. Patten, Hongfang Liu, Brian Costello:
Characterizing the Users of Patient Portal Messaging: A Single Institutional Cohort Study. 381-387 - Erhan Pisirir, Jared M. Wohlgemut, Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh:
A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models. 388-397 - Juandalyn Coffen-Burke, Kai-Wen K. Yang, Zoljargal Lkhagvajav, Yuzhi L. Lu, Tamisha Dzifa Segbefia, Natalie Wang, James Michael Stevenson, Casey Overby Taylor:
Designing Software for Genomics Medicine Service Leaders to Engage Stakeholders. 398-406 - Bárbara Ramalho, Sandra Gama, Francisco Nunes:
Patient Dashboards of Electronic Health Record Data to Support Clinical Care: A Systematic Review. 407-419 - Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Population-Level Visual Analytics of Smartphone Sensed Health and Wellness Using Community Phenotypes. 420-429 - Riyad Bin Rafiq, Syed Araib Karim, Mark V. Albert:
An LSTM-based Gesture-to-Speech Recognition System. 430-438 - Xing Chen, Yegin Gene, Zhan Zhang:
Social Contextualization of Datasets for Mental Health AI: a Review of Gender-linked Sociotechnical Misalignments. 439-445 - Yan Jia, John A. McDermid, Nathan Gerard Jayy Hughes, Mark Sujan, Tom Lawton, Ibrahim Habli:
The Need for the Human-Centred Explanation for ML-based Clinical Decision Support Systems. 446-452 - Jeffrey Voien, Ameya Shere, Robert Mostellar, Gretchen P. Jackson:
Case Volumes in Users and Non-Users of a Digital Application to Visualize Surgical Workflow Data. 453-456 - David Tresner-Kirsch, Amanda Azari Mikkelson, Chika Yinka-Banjo, Mary Akinyemi, Siddhartha Goyal:
Intent Recognition on Low-Resource Language Messages in a Health Marketplace Chatbot. 457-459 - Jimit Mistry, Natalia M. Arzeno:
Document Understanding for Healthcare Referrals. 460-464 - Muhammad Aurangzeb Ahmad, Vijay Chickarmane, Farinaz Sabz Ali Pour, Nima Shariari, Taposh Dutta Roy:
Validation of a Hospital Digital Twin with Machine Learning. 465-469 - Arun Sundararaman:
Data Platform To Accelerate Healthcare Insights Generation. 470-475 - Sirui Ding:
Towards Precise and Equitable Organ Allocation in Transplant with Machine Learning. 476 - Ahmed Mohammed Patel:
The Design & Evaluation of an Information Visualization to Improve the Efficiency & Understanding of Patient Health State. 477 - Zidu Xu, Jiao Li, Maxim Topaz:
ElCombo: Knowledge-based Personalized Meal Recommendation System for Chinese Community-dwelling Elders. 478-479 - Ge Gao, Min Chi:
Trace Augmentation with Missing EHRs for Sepsis Treatments. 480 - Zehan Li, Iqra Ameer, Yan Hu, Ahmed Abdelhameed, Cui Tao, Salih Selek, Hua Xu:
Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models. 481-483 - Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi:
A Deep-Learning-based Two-Compartment Predictive Model (PKRNN-2CM) for Vancomycin Therapeutic Drug Monitoring. 484 - Sayantani Basu:
Machine Learning and Visualizations for Time-Series Healthcare Data. 485 - Edward Tsien, Dezhi Wu, Ana Lòpez-De Fede:
Developing Multi-Task Learning Methods to Aid in Electronic Healthcare Prediction. 486-487 - Pallabi Bhowmick:
Older Adults and Social Isolation: A Tangible Solution. 488-489 - Ayomide Owoyemi:
Development of a Determinant Framework to Guide the Translation of AI Systems in Clinical Care. 490 - Mikel K. Ngueajio, Gloria J. Washington:
Explainable Microaggression Detector for Improving Doctor - Patient Interactions. 491 - Sonish Sivarajkumar, Yanshan Wang:
Evaluation of Healthprompt for Zero-shot Clinical Text Classification. 492-494 - S. M. Shamimul Hasan, Alina Peluso, Heidi A. Hanson, Anuj J. Kapadia:
Medication Knowledge Graph Analysis Using the PageRank Algorithm. 495-497 - Jinjoo Shim, Elgar Fleisch, Filipe Barata:
Precise Segmentation of U.S. Adults from 24-Hour Wearable-based Physical Activity Profiles Using Machine Learning Clustering. 498-500 - Sai Dharmarajan, Satabdi Saha, Xinying Fang, Jaejoon Song:
Sample Size Determination for Electronic Phenotyping. 501-503 - Ye Li, Kiran Bhattacharyya:
3D Trajectory Visualization for Robotic-Assisted Surgery Review. 504 - Ahmed Mohammed Patel, Talya Porat, Weston L. Baxter:
Situation Awareness Failure Factors: Characteristics of Barriers to Situation Awareness in Primary Care & Implications. 505-509 - Jenny Ogden, David M. Lee, Hamidreza Moradi:
Transfer Learning for Classification of Retinal Disease using Fundus Imaging. 510-512 - Hunter Osterhoudt, Liann Ching, Minmei Shih, Courtney E. Schneider, Alexandra E. Harper, Haneef Ahamed Mohammad, Elizabeth R. Skidmore, Yanshan Wang, Leming Zhou:
Feasibility of Categorizing Rehabilitation Gestures for Automated Fidelity Assessment on Strategy Training using Deep Learning. 513-515 - Jiayi Meng, Zhiya Zuo, Hui Li, Xi Wang:
Health Literacy Drift in Online Health Communities. 516-518 - Xinxi Zhu, Yangruohan Li, Zhiya Zuo, Xi Wang:
Identifying Dynamic User Roles in Online Health Communities. 519-521 - Urmila Ravichandran, Danielle Jungst, Emily Kwan:
Implementing an NLP Tool to Address SDOH Needs. 522-524 - Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. 525-526 - Juandalyn Coffen-Burke, Kai-Wen K. Yang, Casey Overby Taylor:
Modifying the Design Sprint Methodology: Leveraging Online Tools for Collaborating and Prototyping in Research Settings. 527-528 - Laila Rasmy, Ziqian Xie, Degui Zhi:
Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR - Hands-on Tutorial on N3C. 529-530 - Vincent J. Major, Walter Wang, Yindalon Aphinyanaphongs:
Enabling AI-Augmented Clinical Workflows by Accessing Patient Data in Real-Time with FHIR. 531-533 - Haohan Wang:
Trustworthy Computing for Biomedical Challenges. 534-535 - Hetong Ma, Xiaowei Xu, Xuwen Wang, Zhen Guo, Jiao Li:
Comma: A Collaborative Medical Text Annotation Platform. 536-543 - Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Haris Shuaib, Mohammad Al-Agil, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard J. B. Dobson, James T. Teo:
Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare. 544-549 - Simon Meoni, Théo Ryffel, Éric de la Clergerie:
Annotate French Clinical Data Using Large Language Model Predictions. 550-557 - Zenan Sun, Cui Tao:
Named Entity Recognition and Normalization for Alzheimer's Disease Eligibility Criteria. 558-564 - Miho Shimizu, Mike Wong, Anagha Kulkarni:
Quantitative Measures of Online Health Information (QMOHI): Broadening the Impact Through Improved Usability, Applicability, and Effectiveness. 565-569 - Xiaoyu Wang, Dipankar Gupta, Michael O. Killian, Zhe He:
Benchmarking Transformer-Based Models for Identifying Social Determinants of Health in Clinical Notes. 570-574 - Shaina Raza, Syed Raza Bashir:
Leveraging Foundation Models for Clinical Text Analysis. 575-580 - Muskan Garg, Sunghwan Sohn:
CareD: Caregiver's Experience with Cognitive Decline in Reddit Posts. 581-587 - Mengtian Guo, David Gotz, Yue Wang:
How Does Imperfect Automatic Indexing Affect Semantic Search Performance? 588-596 - Sayantani Basu, Roy H. Campbell, Karrie Karahalios:
Detection of Novel COVID-19 Variants with Zero-Shot Learning. 597-600 - Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Preum:
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. 601-609 - Xuguang Ai, Ramakanth Kavuluru:
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. 610-618 - Daniel Cabrera Lozoya, Simon D'Alfonso, Mike Conway:
Identifying Gender Bias in Generative Models for Mental Health Synthetic Data. 619-626 - Bernadeta Griciute, Lifeng Han, Goran Nenadic:
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. 627-636 - Vincent J. Major, Claudia S. Plottel, Yindalon Aphinyanaphongs:
Ten Years of Health Informatics Education for Physicians. 637-644 - Saptarshi Purkayastha, Cathy R. Fulton, Sahaja Ratna:
Improving Health Informatics Competencies Using an Open-source Educational EHR. 645-651 - Jay S. Patel, Omotese Oaikhena, Thanh T. D. Phan, Hoa Vo, Javad M. Alizadeh, Huanmei Wu:
The Landscape of Health Informatics Education in Low- or Middle-Income Countries. 652-656 - Toufeeq Ahmed, Aidan Hoyal, Katie Stinson, Jay Johnson, Zainab Latif, Legand L. Burge, Alexander Libin, Guodong Gordon Gao, Nawar Shara, Jamboor K. Vishwanatha:
AIM-AHEAD Connect: Online Collaboration, Mentoring, and Data Science Training Platform to Increase Researcher Diversity and Advance Health Equity. 657-662 - Robert Quick, Marcela Alfaro Cordoba, Stephen Diggs, Raphael Cobe, Louise Bezuidenhout, Hugh P. Shanahan, Bianca Peterson:
Foundational Data Science Training for Health Equity Researchers at Minority Serving Institutions: A SoRDS Event. 663-667 - Duo Helen Wei, Keith Kiminsky, Patrick Hamill, Quynh Nguyen:
Involving Undergraduates into Health Informatics Research via Project-Based Learning Classes - A Case Study. 668-672 - Bari Dzomba, Kesa Bond, Cathy Flite:
Blowing Chunks with ChatGPT. 673-676 - Hua Min, Hedyeh Mobahi, Janusz Wojtusiak:
Application of Synthetic Datasets across Courses in Health Informatics Education. 677-681 - Sripriya Rajamani, Sarah Solarz, Amber Koskey, Taylor Dawson, Ann Kayser, Hannah Woods, Chris Brueske, Aasa Dahlberg Schmit:
Informatics Workforce to Support the Data Modernization Initiative: Assessment and Capacity Building at a State Public Health Agency. 682-687 - Sripriya Rajamani, Yasmin Odowa, Rebecca Wurtz:
Foundational Course in Public Health Informatics to meet Training Needs and Build Workforce Capacity. 688 - Caroline Spice, Anjulie Ganti, Houda Benlhabib:
So you want to talk about race[1] and genetics? 689 - Leilei Su, Zezheng Wang, Yifan Peng, Cong Sun:
Identification of Offensive Language in Social Media Using Prompt Learning. 690-691 - Seha Ay, Michael Cardei, Anne-Marie Meyer, Wei Zhang, Umit Topaloglu:
Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm. 692-694 - Shanshan Song, Casey Overby Taylor:
Data Representativeness in Cardiovascular Disease Studies that use Consumer Wearables. 695-697 - Yash Travadi, Le Peng, Ying Cui, Ju Sun:
Direct Metric Optimization for Imbalanced Classification. 698-700 - Tongnian Wang, Kai Zhang, Jiannan Cai, Yanmin Gong, Kim-Kwang Raymond Choo, Yuanxiong Guo:
Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare. 701-703 - Shaina Raza:
Connecting Fairness in Machine Learning with Public Health Equity. 704-708 - Mary M. Lucas, Chia-Hsuan Chang, Christopher C. Yang:
Resampling for Mitigating Bias in Predictive Model for Substance Use Disorder Treatment Completion. 709-711 - Paul M. Heider:
Algorithmic Bias in De-Identification Tools. 712-713 - Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Soheyla Amirian, Hamidreza Moradi, Ahmad P. Tafti:
AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis. 714-716 - Christina Letter, Puneet Gupta, Annie Kim, Guang-Ting Cong, Hongfang Liu, Ahmad P. Tafti:
Gender-Specific Machine Learning Models to Predict Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty. 717-721 - Shaina Raza, Syed Raza Bashir:
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes. 722-726 - Edward Tsien, Dezhi Wu, Yan Tong, Ana Lòpez-De Fede, Sarah Gareau:
Introducing Task-Adaptive Loss to Multitask Learning for Electronic Healthcare Prediction. 727-730 - Sabah Mohammed, Jinan Fiaidhi:
Investigation into Scaling-Up the SOAP Problem-Oriented Medical Record into a Clinical Case Study. 731-737 - Ko-Hong Lin, Jay-Jiguang Zhu, Judith A. Smith, Yejin Kim, Xiaoqian Jiang:
An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. 738-745 - Raseen Tariq, Sheza Malik, Mousumi Roy, Meena Z. Islam, Umair Rasheed, Jiang Bian, Kai Zheng, Rui Zhang:
Assessing ChatGPT for Text Summarization, Simplification and Extraction Tasks. 746-749 - Yongkang Xiao, Yu Hou, Huixue Zhou, Gayo Diallo, Marcelo Fiszman, Julian Wolfson, Halil Kilicoglu, You Chen, Hua Xu, William G. Mantyh, Rui Zhang:
Repurposing Drugs for Alzheimer's Diseases through Link Prediction on Biomedical Literature. 750-752 - S. M. Shamimul Hasan, Greeshma A. Agasthya, Daniel Santel, Surbhi Bhatnagar, Ian Goethert, Tracy A. Glauser, John Pestian:
Application of Unified Medical Language System (UMLS) to Standardize Pediatric Drug Data. 753-755 - Aokun Chen, Qian Li, Elizabeth Shenkman, Yonghui Wu, Yi Guo, Jiang Bian:
Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients. 756-759 - Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang:
Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective. 760-762
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