keyword
https://read.qxmd.com/read/38470580/convolution-enhanced-bi-branch-adaptive-transformer-with-cross-task-interaction-for-food-category-and-ingredient-recognition
#1
JOURNAL ARTICLE
Yuxin Liu, Weiqing Min, Shuqiang Jiang, Yong Rui
Recently, visual food analysis has received more and more attention in the computer vision community due to its wide application scenarios, e.g., diet nutrition management, smart restaurant, and personalized diet recommendation. Considering that food images are unstructured images with complex and unfixed visual patterns, mining food-related semantic-aware regions is crucial. Furthermore, the ingredients contained in food images are semantically related to each other due to the cooking habits and have significant semantic relationships with food categories under the hierarchical food classification ontology...
March 12, 2024: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://read.qxmd.com/read/38442063/exploring-hierarchical-information-in-hyperbolic-space-for-self-supervised-image-hashing
#2
JOURNAL ARTICLE
Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou
In real-world datasets, visually related images often form clusters, and these clusters can be further grouped into larger categories with more general semantics. These inherent hierarchical structures can help capture the underlying distribution of data, making it easier to learn robust hash codes that lead to better retrieval performance. However, existing methods fail to make use of this hierarchical information, which in turn prevents the accurate preservation of relationships between data points in the learned hash codes, resulting in suboptimal performance...
March 5, 2024: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://read.qxmd.com/read/38429111/information-needs-for-general-practitioners-on-type-2-diabetes-in-western-countries-a-systematic-review
#3
JOURNAL ARTICLE
Tue Helms Andersen, Thomas Møller Marcussen, Ole Norgaard
BACKGROUND: Most people with type 2 diabetes receive treatment in primary care by general practitioners who are not specialised in diabetes. Thus, it is important to uncover the most essential information needs regarding type 2 diabetes in general practice. AIM: To identify information needs related to type 2 diabetes for general practitioners. DESIGN AND SETTING: A systematic review focused on literature relating to Western countries. METHOD: We searched the databases MEDLINE, Embase, PsycInfo and CINAHL from inception to January 2024...
March 1, 2024: British Journal of General Practice
https://read.qxmd.com/read/38391134/impact-of-comorbid-opioid-use-disorder-and-major-depressive-disorder-on-healthcare-utilization-outcomes-in-patients-with-peripheral-artery-disease-a-national-readmission-database-analysis
#4
JOURNAL ARTICLE
Kelvin Amenyedor, Megan Lee, Miguel Algara, Waleed Tariq Siddiqui, Madeleine Hardt, Gaëlle Romain, Carlos Mena-Hurtado, Kim G Smolderen
BACKGROUND: Prior research has demonstrated that individuals with peripheral artery disease (PAD) often have comorbid opioid use disorder (OUD) and major depressive disorder (MDD), with limited data regarding their impact on readmission outcomes, length of stay, and cost. This study aimed to investigate these healthcare utilization outcomes in patients with PAD who have comorbid OUD and MDD. METHODS: Data were obtained from the National Readmission Database from 2011 through 2018...
February 23, 2024: Vascular Medicine
https://read.qxmd.com/read/38205638/the-mechanics-of-risk-adjustment-and-incentives-for-coding-intensity-in-medicare
#5
JOURNAL ARTICLE
Caroline S Carlin, Roger Feldman, Jeah Jung
OBJECTIVE: To study diagnosis coding intensity across Medicare programs, and to examine the impacts of changes in the risk model adopted by the Centers for Medicare and Medicaid Services (CMS) for 2024. DATA SOURCES AND STUDY SETTING: Claims and encounter data from the CMS data warehouse for Traditional Medicare (TM) beneficiaries and Medicare Advantage (MA) enrollees. STUDY DESIGN: We created cohorts of MA enrollees, TM beneficiaries attributed to Accountable Care Organizations (ACOs), and TM non-ACO beneficiaries...
January 11, 2024: Health Services Research
https://read.qxmd.com/read/38105180/a-compressed-large-language-model-embedding-dataset-of-icd-10-cm-descriptions
#6
JOURNAL ARTICLE
Michael J Kane, Casey King, Denise Esserman, Nancy K Latham, Erich J Greene, David A Ganz
This paper presents novel datasets providing numerical representations of ICD-10-CM codes by generating description embeddings using a large language model followed by a dimension reduction via autoencoder. The embeddings serve as informative input features for machine learning models by capturing relationships among categories and preserving inherent context information. The model generating the data was validated in two ways. First, the dimension reduction was validated using an autoencoder, and secondly, a supervised model was created to estimate the ICD-10-CM hierarchical categories...
December 17, 2023: BMC Bioinformatics
https://read.qxmd.com/read/37922160/vitpose-vision-transformer-for-generic-body-pose-estimation
#7
JOURNAL ARTICLE
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao
Although no specific domain knowledge is considered in the design, plain vision transformers have shown excellent performance in visual recognition tasks. However, little effort has been made to reveal the potential of such simple structures for body pose estimation tasks. In this paper, we show the surprisingly good properties of plain vision transformers for body pose estimation from various aspects, namely simplicity in model structure, scalability in model size, flexibility in training paradigm, and transferability of knowledge between models, through a simple baseline model dubbed ViTPose...
November 3, 2023: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://read.qxmd.com/read/37840505/factors-influencing-proxy-online-health-information-seeking-among-the-elderly-a-study-from-the-perspective-of-the-elderly-with-chronic-illnesses
#8
JOURNAL ARTICLE
Wen-Bo Xu, Zhi-Zeng Lu, Lan Mu
BACKGROUND: With the ageing population in China and an increasing number of the elderly developing chronic illnesses, health services for the elderly have become a major concern. They have significant needs for health information (HI) such as online medical consultation, disease prevention, and medical insurance. OBJECTIVE: To explore the influencing factors and their relative significance in proxy online health information (OHI) seeking among the elderly with chronic illnesses so as to provide a reference for enriching theoretical research and optimizing care for the elderly with chronic illness...
October 7, 2023: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://read.qxmd.com/read/37818140/expanding-the-role-of-the-surgical-preoperative-evaluation-clinic-impact-on-risk-and-quality-outcome-measures
#9
JOURNAL ARTICLE
Michael Smerina, Adrian G Dumitrascu, Aaron C Spaulding, James W Manz, Razvan M Chirila
OBJECTIVE: To prove that inpatient-adjusted surgical risk and quality outcome measures can be considerably impacted by interventions to improve documentation in the preoperative evaluation (POE) clinic. PATIENTS AND METHODS: We designed a quality improvement project with a multidisciplinary team in our POE clinic to more accurately reflect surgical risk and impact expected surgical quality outcomes through improved documentation. Interventions included an improved patient record acquisition process and extensive POE provider education regarding patient comorbidities' documentation...
October 2023: Mayo Clinic Proceedings. Innovations, Quality & Outcomes
https://read.qxmd.com/read/37801380/semi-supervised-learning-for-fgvc-with-out-of-category-data
#10
JOURNAL ARTICLE
Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo
Despite great strides made on fine-grained visual classification (FGVC), current methods are still heavily reliant on fully-supervised paradigms where ample expert labels are called for. Semi-supervised learning (SSL) techniques, acquiring knowledge from unlabeled data, provide a considerable means forward and have shown great promise for coarse-grained problems. However, exiting SSL paradigms mostly assume in-category (i.e., category-aligned) unlabeled data, which hinders their effectiveness when re-proposed on FGVC...
October 6, 2023: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://read.qxmd.com/read/37715130/analysis-of-genetic-diversity-and-genome-wide-association-study-for-drought-tolerance-related-traits-in-iranian-bread-wheat
#11
JOURNAL ARTICLE
Ehsan Rabieyan, Mohammad Reza Bihamta, Mohsen Esmaeilzadeh Moghaddam, Hadi Alipour, Valiollah Mohammadi, Kobra Azizyan, Saeideh Javid
BACKGROUND: Drought is most likely the most significant abiotic stress affecting wheat yield. The discovery of drought-tolerant genotypes is a promising strategy for dealing with the world's rapidly diminishing water resources and growing population. A genome-wide association study (GWAS) was conducted on 298 Iranian bread wheat landraces and cultivars to investigate the genetic basis of yield, yield components, and drought tolerance indices in two cropping seasons (2018-2019 and 2019-2020) under rainfed and well-watered environments...
September 15, 2023: BMC Plant Biology
https://read.qxmd.com/read/37701970/the-senior-resident-fellow-dynamic-on-pediatric-hospital-medicine-teams-a-qualitative-study
#12
JOURNAL ARTICLE
Gal Barak, Andrea Dean, Heather Haq, Carla Falco, Geeta Singhal
BACKGROUND AND OBJECTIVES: With the Accreditation Council for Graduate Medical Education accreditation in place for pediatric hospital medicine (PHM) fellowships, fellows are playing a larger role in resident education. However, the impact of PHM fellows on pediatric residency training is not well described. We aimed to identify the factors that affect the dynamic between senior residents and fellows working together on PHM teams. METHODS: In this qualitative study, we used purposive sampling and interviewed 15 senior residents and 8 PHM fellows between April and September 2020...
September 13, 2023: Hospital Pediatrics
https://read.qxmd.com/read/37673560/cehmr-curriculum-learning-enhanced-hierarchical-multi-label-classification-for-medication-recommendation
#13
JOURNAL ARTICLE
Mengxuan Sun, Jinghao Niu, Xuebing Yang, Yifan Gu, Wensheng Zhang
The medication recommendation (MR) or medication combination prediction task aims to predict effective prescriptions given accurate patient representations derived from electronic health records (EHRs), which contributes to improving the quality of clinical decision-making, especially for patients with multi-morbidity. Although in recent years deep learning technology has achieved great success in MR, the performance of current multi-label based MR solutions is unsatisfactory. They mainly focus on improving the patient representation module and modeling the medication label dependencies such as drug-drug interaction (DDI) correlation and co-occurrence relationship...
September 2023: Artificial Intelligence in Medicine
https://read.qxmd.com/read/37660006/the-potential-role-of-veterinary-technicians-in-promoting-antimicrobial-stewardship
#14
JOURNAL ARTICLE
Laurel E Redding, Katherine Reilly, Bridget Radtke, Stacy Bartholomew, Stephen D Cole
BACKGROUND: A core principle of antimicrobial stewardship (AMS) in veterinary settings is the need for engagement of all stakeholders; however, no studies have addressed the role of veterinary technicians in AMS specifically. The objective of this study was to qualitatively assess knowledge, opinions, and practices related to AMS among technicians. Semi-structured interviews were conducted with 33 veterinary technicians with varied backgrounds, experience and roles. Interviews centered on participants work experience and interactions with their employer, perceptions of antimicrobial resistance and overuse in veterinary medicine, observed application of AMS principles, opinions on potential opportunities for technicians to contribute to AMS and concomitant potential barriers to these opportunities...
September 2, 2023: BMC Veterinary Research
https://read.qxmd.com/read/37656619/hierarchical-action-encoding-in-prefrontal-cortex-of-freely-moving-macaques
#15
JOURNAL ARTICLE
Benjamin Voloh, David J-N Maisson, Roberto Lopez Cervera, Indirah Conover, Mrunal Zambre, Benjamin Hayden, Jan Zimmermann
Our natural behavioral repertoires include coordinated actions of characteristic types. To better understand how neural activity relates to the expression of actions and action switches, we studied macaques performing a freely moving foraging task in an open environment. We developed a novel analysis pipeline that can identify meaningful units of behavior, corresponding to recognizable actions such as sitting, walking, jumping, and climbing. On the basis of transition probabilities between these actions, we found that behavior is organized in a modular and hierarchical fashion...
August 31, 2023: Cell Reports
https://read.qxmd.com/read/37523219/multigranularity-label-prediction-model-for-automatic-international-classification-of-diseases-coding-in-clinical-text
#16
JOURNAL ARTICLE
Ying Yu, Tian Qiu, Junwen Duan, Jianxin Wang
International Classification of Diseases (ICD) serves as the foundation for generating comparable global disease statistics across regions and over time. The process of ICD coding involves assigning codes to diseases based on clinical notes, which can describe a patient's condition in a standard way. However, this process is complicated by the vast number of codes and the intricate taxonomy of ICD codes, which are hierarchically organized into various levels, including chapter, category, subcategory, and its subdivisions...
July 31, 2023: Journal of Computational Biology
https://read.qxmd.com/read/37440581/feature-interaction-network-based-on-hierarchical-decoupled-convolution-for-3d-medical-image-segmentation
#17
JOURNAL ARTICLE
Longfeng Shen, Yingjie Zhang, Qiong Wang, Fenglan Qin, Dengdi Sun, Hai Min, Qianqian Meng, Chengzhen Xu, Wei Zhao, Xin Song
Manual image segmentation consumes time. An automatic and accurate method to segment multimodal brain tumors using context information rich three-dimensional medical images that can be used for clinical treatment decisions and surgical planning is required. However, it is a challenge to use deep learning to achieve accurate segmentation of medical images due to the diversity of tumors and the complex boundary interactions between sub-regions while limited computing resources hinder the construction of efficient neural networks...
2023: PloS One
https://read.qxmd.com/read/37407272/a-practical-strategy-to-use-the-icd-11-for-morbidity-coding-in-the-united-states-without-a-clinical-modification
#18
JOURNAL ARTICLE
Kin Wah Fung, Julia Xu, Shannon McConnell-Lamptey, Donna Pickett, Olivier Bodenreider
OBJECTIVE: The aim of this study was to derive and evaluate a practical strategy of replacing ICD-10-CM codes by ICD-11 for morbidity coding in the United States, without the creation of a Clinical Modification. MATERIALS AND METHODS: A stepwise strategy is described, using first the ICD-11 stem codes from the Mortality and Morbidity Statistics (MMS) linearization, followed by exposing Foundation entities, then adding postcoordination (with existing codes and adding new stem codes if necessary), with creating new stem codes as the last resort...
July 5, 2023: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/37372134/compositional-structure-of-the-genome-a-review
#19
REVIEW
Pedro Bernaola-Galván, Pedro Carpena, Cristina Gómez-Martín, Jose L Oliver
As the genome carries the historical information of a species' biotic and environmental interactions, analyzing changes in genome structure over time by using powerful statistical physics methods (such as entropic segmentation algorithms, fluctuation analysis in DNA walks, or measures of compositional complexity) provides valuable insights into genome evolution. Nucleotide frequencies tend to vary along the DNA chain, resulting in a hierarchically patchy chromosome structure with heterogeneities at different length scales that range from a few nucleotides to tens of millions of them...
June 13, 2023: Biology
https://read.qxmd.com/read/37323190/drivers-of-individual-and-regional-variation-in-cms-hierarchical-condition-categories-among-florida-beneficiaries
#20
JOURNAL ARTICLE
Molly Jacobs, Earl Morris, Zuhair Haleem, Nicholas Mandato, Nicole M Marlow, Lee Revere
OBJECTIVE: To explore hierarchical condition categories (HCC) risk score variation among Florida Fee for Service (FFS) Medicare beneficiaries between 2016 and 2018. DATA SOURCES: This study analyzed HCC risk score variation using Medicare claims data for Florida beneficiaries enrolled in Parts A & B between 2016 and 2018. STUDY DESIGN: The CMS methodology analyzed HCC risk score variation using annual mean county- and beneficiary-level risk score changes...
2023: Risk Management and Healthcare Policy
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