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A novel convolutional interpretability model for pixel-level interpretation of medical image classification through fusion of machine learning and fuzzy logic 一种融合机器学习和模糊逻辑的医学图像分类像素级解释卷积可解释性模型

Smart Health Pub Date : 2024-12-21 DOI: 10.1016/j.smhl.2024.100535

Mohammad Ennab, Hamid Mcheick

{"title":"A novel convolutional interpretability model for pixel-level interpretation of medical image classification through fusion of machine learning and fuzzy logic","authors":"Mohammad Ennab, Hamid Mcheick","doi":"10.1016/j.smhl.2024.100535","DOIUrl":"10.1016/j.smhl.2024.100535","url":null,"abstract":"<div><div>Artificial intelligence (AI) models for medical image analysis have achieved high diagnostic performance, but they often lack interpretability, limiting their clinical adoption. Existing methods can explain predictions at the image level, but they cannot provide pixel-level insights. This study proposes a novel fusion of machine learning and fuzzy logic to develop an interpretable model that can precisely identify discriminative image regions driving diagnostic decisions and generate heatmap visualization. The model is trained and evaluated on a dataset of CT scans containing healthy and diseased organ images. Quantitative features are extracted across pixels and normalized into representation matrices using a machine learning model. Subsequently, the contribution of each detected lesion to the overall prediction is quantified using fuzzy logic. Organ segment weighted averages are computed to identify significant lesions. The model explains application of AI in medical imaging with an unprecedented level of detail. It can explain fine-grained image areas that have the greatest influence on diagnostic outcomes by mapping raw image pixels to fuzzy membership concepts. Lesions are found with effect sizes and statistical significance (p < 0.05).</div><div>Our model outperforms three existing methods in terms of interpretability and diagnostic accuracy by 10–15%, while maintaining computational efficiency. By disclosing crucial image evidence that supports AI decisions, this interpretable model improves transparency and clinician trust. Ethical implications of integrating AI in clinical settings are discussed, and future research directions are outlined. This study significantly advances the development of safe and interpretable AI for enhancing patient care through imaging analytics.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"35 ","pages":"Article 100535"},"PeriodicalIF":0.0,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel guidance framework for nasal rapid antigen tests with improved swab keypoint detection 改进棉签关键点检测的鼻腔快速抗原检测新指导框架

Smart Health Pub Date : 2024-12-06 DOI: 10.1016/j.smhl.2024.100534

Matthias Tschöpe, Dennis Schneider, Sungho Suh, Paul Lukowicz

{"title":"A novel guidance framework for nasal rapid antigen tests with improved swab keypoint detection","authors":"Matthias Tschöpe, Dennis Schneider, Sungho Suh, Paul Lukowicz","doi":"10.1016/j.smhl.2024.100534","DOIUrl":"10.1016/j.smhl.2024.100534","url":null,"abstract":"<div><div>The global impact of the COVID-19 pandemic has placed an unprecedented burden on healthcare systems. In this paper, we present a novel deep learning-based framework to guide individuals in performing nasal antigen rapid tests, with a particular focus on improving swab keypoint detection. Our system provides real-time feedback to participants on the correct execution of the test and may issue a certificate upon successful completion. While initially developed for COVID-19 antigen rapid tests, our versatile framework extends its applicability to various nasal screening tests, eliminating the need for specific information about the liquid solvent. To implement and evaluate our framework, we curated a comprehensive dataset with rapid test components and trained an object detection model to identify the position and size of all objects in each video frame. Addressing the challenge of swab depth classification, we propose a novel approach to locate and classify crucial swab points by a self-defined decision tree for depth assessment within the nasal cavity. The robustness of the proposed framework is validated with COVID-19 antigen rapid tests from various manufacturers. Experimental results demonstrate the remarkable performance of the framework in classifying the nasal placement of the swab, achieving an <span><math><msub><mrow><mi>F</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>-Score of 89.78%. Additionally, our framework attains an <span><math><msub><mrow><mi>F</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>-Score of 99.37% in classifying final test results on the test device.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"35 ","pages":"Article 100534"},"PeriodicalIF":0.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-driven assessment of the effectiveness of non-pharmaceutical interventions on Covid spread mitigation in Italy 数据驱动评估意大利非药物干预措施对缓解Covid - 19传播的有效性

Smart Health Pub Date : 2024-12-05 DOI: 10.1016/j.smhl.2024.100524

Divya Pragna Mulla , Mario Alessandro Bochicchio , Antonella Longo

{"title":"Data-driven assessment of the effectiveness of non-pharmaceutical interventions on Covid spread mitigation in Italy","authors":"Divya Pragna Mulla , Mario Alessandro Bochicchio , Antonella Longo","doi":"10.1016/j.smhl.2024.100524","DOIUrl":"10.1016/j.smhl.2024.100524","url":null,"abstract":"<div><div>To mitigate the impact of pandemics such as COVID-19, governments can implement various Non-Pharmaceutical Interventions (NPIs), ranging from the use of personal protective equipment to social distancing measures. While it has been demonstrated that NPIs can be effective over time, the assessment of their efficacy and the estimation of their cost-benefit ratio are still debated issues. For COVID-19, several authors have used case confirmation as a key parameter to assess the efficacy of NPIs. In this paper, we compare the efficacy of this parameter to that of the death rate, hospitalizations, and intensive care unit cases, in conjunction with human mobility indicators, in evaluating the effectiveness of NPIs. Our research uses data on daily COVID-19 cases and deaths, intensive care unit cases, hospitalizations, Google Mobility Reports, and NPI data from all Italian regions from March 2020 to May 2022. The evaluation method is based on the approach proposed by Wang et al., in 2020 to assess the impact of NPI efficacy and understand the effect of other parameters. Our results indicate that, when combined with human mobility indicators, the mortality rate and the number of intensive care units perform better than the number of cases in determining the efficacy of NPIs. These findings can assist policymakers in developing the best data-driven methods for dealing with confinement problems and planning for future outbreaks.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"35 ","pages":"Article 100524"},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel rule-based expert system for early diagnosis of bipolar and Major Depressive Disorder 一种新的基于规则的双相情感障碍和重度抑郁症早期诊断专家系统

Smart Health Pub Date : 2024-12-04 DOI: 10.1016/j.smhl.2024.100525

Mohammad Hossein Zolfagharnasab , Siavash Damari , Madjid Soltani , Artie Ng , Hengameh Karbalaeipour , Amin Haghdadi , Masood Hamed Saghayan , Farzam Matinfar

{"title":"A novel rule-based expert system for early diagnosis of bipolar and Major Depressive Disorder","authors":"Mohammad Hossein Zolfagharnasab , Siavash Damari , Madjid Soltani , Artie Ng , Hengameh Karbalaeipour , Amin Haghdadi , Masood Hamed Saghayan , Farzam Matinfar","doi":"10.1016/j.smhl.2024.100525","DOIUrl":"10.1016/j.smhl.2024.100525","url":null,"abstract":"<div><div>A confident and timely diagnosis of mental illnesses is one of the primary challenges practitioners repeatedly encounter when they start treating new patients. However, diagnosing can quickly become problematic as the subjects expose comparative symptoms among mental illnesses. Due to influencing a broad populace among mental ailments, an adjusted differentiation between Major Depressive Disorder, Mania Bipolar Disorder, Depressive Bipolar Disorder, and ordinary individuals with mild symptoms is one of the critical subjects for community health. This study responded to the described problem by proposing a novel rule-based Expert System, which evaluates the impact of disorder symptoms on the Certainty Factor concerning each mental status. The semantic rules are developed based on the recommendation of experts, and the implementation is carried out using Prolog and <em>C#</em> languages. Furthermore, an easy-to-use user interface is considered to facilitate the system workflow. The consistency of the developed framework is established by performing rigorous tests by expert psychiatrists as well as 120 clinical samples collected from private samples. Based on the results, the current model classifies mental disorder cases with a success rate of 93.33% using only the 17 symptoms specified in the ontology model. Furthermore, a questionnaire that measures user satisfaction after the test also achieves a mean score of 3.56 out of 4, which indicates a high degree of user acceptance. As a result, it is concluded that the current framework is a reliable tool for achieving a solid diagnosis in a shorter period.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"35 ","pages":"Article 100525"},"PeriodicalIF":0.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Differences in gait parameters between supervised laboratory and unsupervised daily assessments of healthy adults measured with an in-shoe motion sensor system 用鞋内运动传感器系统测量有监督的实验室和无监督的健康成人每日评估之间的步态参数差异

Smart Health Pub Date : 2024-11-26 DOI: 10.1016/j.smhl.2024.100526

Hiroki Shimizu , Takanobu Saito , Shione Kashiyama , Shinichi Kawamoto , Saori Morino , Momoko Nagai-Tanima , Tomoki Aoyama

{"title":"Differences in gait parameters between supervised laboratory and unsupervised daily assessments of healthy adults measured with an in-shoe motion sensor system","authors":"Hiroki Shimizu , Takanobu Saito , Shione Kashiyama , Shinichi Kawamoto , Saori Morino , Momoko Nagai-Tanima , Tomoki Aoyama","doi":"10.1016/j.smhl.2024.100526","DOIUrl":"10.1016/j.smhl.2024.100526","url":null,"abstract":"<div><div>This cross-sectional study compared the gait parameters between supervised laboratory and unsupervised daily life assessments in healthy adults. Gait was evaluated in 24 healthy young adults during 72 h of daily life and a 6-min laboratory gait at a comfortable speed. An in-shoe motion sensor system recorded gait data every 2 min, automatically detected stable gait segments by identifying repetitive movement patterns, and calculated the average of three consecutive valid gait cycles during each measurement period. Significant differences were found in walking speed (stride length divided by stride time; laboratory: 4.60 km/h vs. daily-life: 4.38 km/h), maximum (peak) dorsiflexion angle (laboratory: 29.71° vs. daily-life: 26.65°), maximum (peak) plantar flexion angle (laboratory: 74.54° vs. daily-life: 71.91°), roll angle of heel contact (laboratory: 7.46° vs. daily-life: 6.70°), maximum speed during the swing phase (laboratory: 14.49 km/h vs. daily-life: 12.68 km/h), circumduction (lateral displacement during the swing phase; laboratory: 2.68 cm vs. daily-life: 3.69 cm), toe-in/out angle (laboratory: 13.87° vs. daily-life: 15.32°), stance time (laboratory: 0.62 s vs. daily-life: 0.65 s), and pushing time (time between heel leaving and toe leaving the ground; laboratory: 0.20 s vs. daily-life: 0.21 s). The innovative aspect of this study is the comprehensive evaluation of foot-related gait parameters in real-world environments using an in-shoe motion sensor system. This approach provides ecologically valid insights into gait dynamics during daily activities, emphasizing the importance of real-world assessments for accurately evaluating gait performance and predicting adverse events such as falls. Keywords: Gait, Foot, Laboratory, Daily Life, Unsupervised Assessment, Shoe Motion Sensors.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"35 ","pages":"Article 100526"},"PeriodicalIF":0.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gamifying the exploration of home mobility barriers for individuals with limited mobility: Scoping review 游戏化探索行动不便者的家庭行动障碍：范围界定审查

Smart Health Pub Date : 2024-11-09 DOI: 10.1016/j.smhl.2024.100523

Luis Villarreal Laguna , Carla Sílvia Fernandes , Joana Campos , Marta Campos Ferreira

{"title":"Gamifying the exploration of home mobility barriers for individuals with limited mobility: Scoping review","authors":"Luis Villarreal Laguna , Carla Sílvia Fernandes , Joana Campos , Marta Campos Ferreira","doi":"10.1016/j.smhl.2024.100523","DOIUrl":"10.1016/j.smhl.2024.100523","url":null,"abstract":"<div><div>As advancements in the health sector continue to improve, people are living longer and increasingly aging in place. However, aging is often accompanied by disabilities and mobility issues. Whether these issues develop gradually or suddenly, many homes are not equipped to accommodate such changes, resulting in significant mobility barriers. This document presents a systematic review focusing on three key areas: “Home Barriers and Modification”, “Accessibilities and Disabilities”, and “Gamification and Assistive Technologies”. The aim is to synthesize existing knowledge and explore the interconnections among these topics. The primary objective of this review is to examine how gamification can be utilized to identify barriers within the homes of individuals with disabilities. Despite numerous advancements and available technologies, the review reveals a paucity of research on the application of gamification in this context, highlighting a promising area for future investigation. Additionally, the review underscores the benefits of home modifications to enhance accessibility, emphasizing the potential for significant improvements in the quality of life for individuals with disabilities.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"34 ","pages":"Article 100523"},"PeriodicalIF":0.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving health awareness with real-time monitoring through a three-dimensional visualized digital health avatar 通过三维可视化数字健康头像进行实时监测，提高健康意识

Smart Health Pub Date : 2024-11-06 DOI: 10.1016/j.smhl.2024.100522

Chaturapron Chokphukhiao , Pattrawan Pattaranit , Wonn Shweyi Thet Tun , Sakaowrat Masa , Rattikorn Leemananil , Nuttaphorn Natteerapong , Jutarop Phetcharaburanin , Sophon Boonlue , Khamron Sunat , Rina Patramanon

{"title":"Improving health awareness with real-time monitoring through a three-dimensional visualized digital health avatar","authors":"Chaturapron Chokphukhiao , Pattrawan Pattaranit , Wonn Shweyi Thet Tun , Sakaowrat Masa , Rattikorn Leemananil , Nuttaphorn Natteerapong , Jutarop Phetcharaburanin , Sophon Boonlue , Khamron Sunat , Rina Patramanon","doi":"10.1016/j.smhl.2024.100522","DOIUrl":"10.1016/j.smhl.2024.100522","url":null,"abstract":"<div><h3>Introduction</h3><div>The use of modern technologies has become crucial for enhancing people's awareness of health problems. By early health risk detection, there will be better treatment outcomes, the severity of illness will decrease, and costs for treatment will also reduce. Performing routine checkups could help patients feel less anxious about their health in the future. In this study, the innovation of “Digital Health Avatar” enables users to monitor physical changes, raise awareness of medical conditions, and encourage healthy behaviors by visualizing health status as a 3D figure.</div></div><div><h3>Methods</h3><div>Health data were collected using medical devices like blood test strips, body composition meters, and automatic blood pressure monitors. API technology and cloud computing systems were used to process these collected data and produced a three-dimensional avatar that indicated the user's health status. User satisfaction survey on using the health avatar system was assessed through a survey of 61 participants.</div></div><div><h3>Results</h3><div>Health avatar system successfully generate the data and display the measurement results on the health report page of the system. Users can easily check and record their physiological conditions through the avatar. Moreover, users showed satisfaction on the use of the health avatar system and its effectiveness in health check-ups in the survey.</div></div><div><h3>Conclusions</h3><div>The ‘Digital Health Avatar’ has the potential to significantly promote individual well-being and health awareness. Its development will be improved by user feedback and continued study, ensuring it becomes an efficient tool for promoting healthier lifestyles.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"34 ","pages":"Article 100522"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A real-time eye movement-based computer interface for people with disabilities 基于眼动的实时残疾人计算机界面

Smart Health Pub Date : 2024-10-11 DOI: 10.1016/j.smhl.2024.100521

Ramazan Karatay, Burak Demir, Ali Arda Ergin, Erdem Erkan

{"title":"A real-time eye movement-based computer interface for people with disabilities","authors":"Ramazan Karatay, Burak Demir, Ali Arda Ergin, Erdem Erkan","doi":"10.1016/j.smhl.2024.100521","DOIUrl":"10.1016/j.smhl.2024.100521","url":null,"abstract":"<div><div>It is costly to develop systems that enable individuals exposed to Amyotrophic Lateral Sclerosis and similar diseases that directly affect the neuromotor ability to communicate with the outside world. In this study, a budget friendly, high-accuracy, software-based, gaze-controlled, real-time virtual keyboard approach that can enable these people to communicate effectively is proposed. The proposed application requires only a computer and a webcam and has a user-friendly interface that meets the basic daily needs of individuals with disabilities. Since the proposed system does not require an extra action such as blinking, it makes it possible to use computers in advanced stage patients who cannot blink their eyes. The application which uses a deep learning-based facial landmark detector, determines the letters the user focuses on the screen and converts thoughts into text. The part of the screen that the user focuses on is determined with a new selection approach inspired by the K-Nearest Neighbors algorithm. This approach, which does not require blinking, offers high speed and accuracy. In the tests, a typing speed of 23.33 characters per minute is achieved with an accuracy rate of 95.12%. It is anticipated that the study will increase computer accessibility for disabled individuals with limited mobility and contribute to the development of real-time eye tracking systems.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"34 ","pages":"Article 100521"},"PeriodicalIF":0.0,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EffSVMNet: An efficient hybrid neural network for improved skin disease classification EffSVMNet：改进皮肤病分类的高效混合神经网络

Smart Health Pub Date : 2024-10-05 DOI: 10.1016/j.smhl.2024.100520

Yash Sharma , Naveen Kumar Tiwari , Vipin Kumar Upaddhyay

{"title":"EffSVMNet: An efficient hybrid neural network for improved skin disease classification","authors":"Yash Sharma , Naveen Kumar Tiwari , Vipin Kumar Upaddhyay","doi":"10.1016/j.smhl.2024.100520","DOIUrl":"10.1016/j.smhl.2024.100520","url":null,"abstract":"<div><div>The Human Body’s primary defense layer is the skin which protects important organs from various external assaults. This organ protects our internal systems, safeguarding them from possible injury caused by viruses, fungus, and other factors. Unfortunately, the skin is not impenetrable, and infections or damage can occur, which leads to serious problems of health. Even a little skin lesion has the power to become a huge issue. As a result, in our study, our target is to produce an effective system for the quick and early identification of skin illnesses using well-known Convolutional Neural Networks (CNNs). The idea is to use this specialized neural network architecture to improve and speed up the detection and classification process to reduce time-lagging for treatment options. The proposed model <em>i.e.</em>, EffSVMNet is a hybrid model consisting of a CNN classifier similar to EfficientNet B3 architecture coupled with a support vector machine (SVM). The sample dataset containing four classes <em>i.e.</em>, acne, atopic dermatitis, bullous disease, and eczema is a subset of the DermNet dataset. The proposed model is not only lightweight but also achieves better validation accuracy when compared to similar methods in its category.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"34 ","pages":"Article 100520"},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart pain relief: Harnessing conservative Q learning for personalized and dynamic pain management 智能止痛：利用保守的 Q 学习技术实现个性化动态疼痛管理

Smart Health Pub Date : 2024-10-05 DOI: 10.1016/j.smhl.2024.100519

Yong Huang , Rui Cao , Thomas Hughes , Amir Rahmani

{"title":"Smart pain relief: Harnessing conservative Q learning for personalized and dynamic pain management","authors":"Yong Huang , Rui Cao , Thomas Hughes , Amir Rahmani","doi":"10.1016/j.smhl.2024.100519","DOIUrl":"10.1016/j.smhl.2024.100519","url":null,"abstract":"<div><div>Pain represents a multifaceted sensory and emotional experience often linked to tissue damage, bearing substantial healthcare costs and profound effects on patient well-being. Within intensive care units, effective pain management is paramount. However, determining suitable dosages of primary pain management drugs like morphine remains challenging due to their reliance on diverse patient-specific factors, including cardiovascular responses and pain intensity. To date, only a singular effort has explored personalized pain treatment recommendations through reinforcement learning. Regrettably, this pioneering study faced limitations stemming from incomplete patient state observations, a restricted action space, and the use of Deep Q-Networks, known for their sample inefficiency and lack of clinical interpretability. In our work, we introduced a Conservative Q-learning-based system for pain recommendation, enriching it with expanded state and action spaces. Additionally, we developed a comprehensive pipeline for both qualitative and quantitative evaluations, focusing on assessing the trained model’s performance. Our findings indicate a slight performance improvement over the clinician’s policy, offering a more clinically sensible and understandable approach compared to the current state-of-the-art methodologies.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"34 ","pages":"Article 100519"},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0