Frontiers in health informatics最新文献

{"title":"Key Data Elements to Design Self-Care Mobile-Based Application for Hemophilia","authors":"N. Mohammadzadeh, Mohammadreza Dabiri, Erfan Esmaeeli","doi":"10.30699/fhi.v13i0.550","DOIUrl":"https://doi.org/10.30699/fhi.v13i0.550","url":null,"abstract":"Introduction: Mobile-based applications have become increasingly critical for healthcare delivery worldwide over the past few years. Developing a mobile application for hemophilia self-care is one of the tools that can provide helpful information about the disease, reminders, and treatment recommendations. This study aims to determine a minimum data set as the first step in developing a hemophilia self-care mobile application.Material and Methods: This descriptive-analytical study was conducted in 2023 and consisted of three steps. In the first step, relevant databases such as PubMed, Scopus, and Science Direct were reviewed. The data elements collected in the previous step were combined, and their validity was checked and confirmed in the second step. In the last step, all ten hematologists-oncologists at Imam Khomeini hospital complex, affiliated with Tehran university of medical sciences, completed a questionnaire to score the identified elements. Statistical analysis was performed using SPSS (Ver 16).Results: Based on global guidelines, published research, and specialists' feedback, the Minimum Data Set (MDS) for hemophilia management was developed. There are four main categories and twenty-three subclasses of identified elements, including demographic data (5 elements), disease management-related data (12 elements), educational data (3 elements), and technical capabilities (3 elements). To determine the importance of this MDS, we calculated the percentage points provided by specialists, which were 95.50% for demographic data, 96.45% for disease management-related data, 95.83% for educational data, and 95.83% for technical capabilities.Conclusion: Due to the lack of hemophilia’s MDS data at the national level, this study can serve as a turning point toward standardized data collection for this disease. By utilizing these precise, coherent, and standard data elements, hemophilia management and quality of life can be improved.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"41 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140509550","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}

{"title":"Knowledge and Use of International Classification of Function, Disability and Health Among Rehabilitation Specialists of Mashhad University of Medical Sciences: A Cross-sectional Study","authors":"Khalil Kimiafar, Seyyedeh Fatemeh Mousavi Baigi, D. Sobhani-Rad, Elahe Ranjbar, Masomeh Sarbaz, Mojtaba Esmaeili","doi":"10.30699/fhi.v13i0.513","DOIUrl":"https://doi.org/10.30699/fhi.v13i0.513","url":null,"abstract":"Introduction: The lack of integrated registration of information causes additional burden, inefficiency in health and treatment systems, and finally increases cost and decreases effectiveness. Correct coding requires knowledge and use of the latest editions of the International classification of functioning, disability and health (ICF). This study aimed to investigate the level of knowledge and use of ICF among professors and rehabilitation and optometry specialists at Mashhad university of medical sciences.Material and Methods: This cross-sectional study was conducted from September 2022 to March 2023. First, the pre-designed questionnaire consists of ten multiple-choice questions that were distributed among professors and rehabilitation and optometry specialists at Mashhad university of medical sciences. Second, the data were analyzed. For this purpose, descriptive data was calculated. SPSS version 21 statistical software was used to analyze the data.Results: The majority of the participants 16 (59.3%) stated that they knew ICF. However, only 13 (48.1%) of them identified the name or abbreviation of ICF correctly, and only 3 of them (11.1%) recognized the ICF components correctly. Fifteen of the participants (55.6%) stated that they did not use the ICF, followed by 3 (11.1%) who stated that they used the ICF in the clinic and 3 (11.1%) in training. The relationship between participants' graduation degree and their familiarity with ICF was significant (p=0.02).Conclusion: The results of this study show that most of the participants did not have enough information about the ICF and its components. A lack of knowledge about the ICF prevents professionals from following the recommendations of the world health organization. As the medical industry is driven to use evidence in patient care, universities, and educational centers must also provide the necessary grounds and infrastructure for teaching and using international classification tools such as ICF, which will be used by healthcare professionals in the future.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"74 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140513145","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}

{"title":"Satisfaction With Tele-Psychotherapy Among Students of Mashhad University of Medical Sciences During the COVID-19 Pandemic","authors":"Khalil Kimiafar, Masomeh Sarbaz, Ali Darroudi, Atefeh Sadat Mousavi, Marziyeh Raei Mehneh, Seyyedeh Fatemeh Mousavi Baigi, Mojtaba Esmaeili","doi":"10.30699/fhi.v13i0.516","DOIUrl":"https://doi.org/10.30699/fhi.v13i0.516","url":null,"abstract":"Introduction: Previous experiences have shown that mental health is one of the areas that is quickly affected during an epidemic. Students, in particular, require guidance and consultation with psychologists in various aspects of their lives. This study aimed to investigate the satisfaction and effectiveness of tele-psychotherapy among students at Mashhad university of medical sciences during the COVID-19 pandemic.Material and Methods: This cross-sectional study was conducted from September 2022 to March 2023. A standard questionnaire developed by Ghalibaf et al. was used. Three experts in related fields confirmed the content validity of the questionnaire, and its internal consistency was assessed using Cronbach's alpha coefficient. Questionnaires were distributed to all students from affiliated faculties at Mashhad university of medical sciences who had utilized tele-psychotherapy during the COVID-19 pandemic. Descriptive statistics were used to summarize and analyze the data, while analytical statistics provided a basis for inference and interpretation.Results: The majority of students reported engaging in informal counseling through virtual communication methods such as chat and voice (47.7%), while video communication methods like video conferences were less commonly used (0.05%). Overall, most students (50%) expressed moderate overall satisfaction with tele-psychotherapy. However, only a small percentage (16.7%) agreed or strongly agreed that they would continue with this style of counseling in the future. Gender was found to have a significant relationship with satisfaction in tele-psychotherapy (p<0.001), with female students reporting higher levels of satisfaction. Additionally, confidence in the confidentiality of conversations on the Internet also had a significant relationship with satisfaction in tele-psychotherapy (p<0.001).Conclusion: The COVID-19 pandemic necessitated a sudden shift from face-to-face psychotherapy consultations to tele-psychotherapy for students, presenting them with unique challenges. The results of our study demonstrate that tele-psychotherapy can be a satisfactory option for ensuring continuity during crises. Furthermore, tele-psychotherapy offers flexibility in terms of time and location, allowing for quicker appointments if more frequent sessions are required or during emergencies.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"91 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140513131","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}

{"title":"Transfer Learning from Non-Medical Images to Medical Images Using Deep Learning Algorithms","authors":"Nooshin Osmani, S. Rezayi, Erfan Esmaeeli, Afsaneh Karimi","doi":"10.30699/fhi.v13i0.549","DOIUrl":"https://doi.org/10.30699/fhi.v13i0.549","url":null,"abstract":"Introduction: Machine learning, especially deep convolutional neural networks (DCNNs), is a popular method for computerizing medical image analysis. This study aimed to develop DCNN models for histopathology image classification utilizing transfer learning.Material and Methods: We utilized 16 different pre-trained DCNNs to analyze the histopathology images from the animal diagnostic laboratory (ADL) database. During the image preprocessing stage, we applied two methods. The first method involved subtracting the mean of ImageNet images from all images. The second method involved subtracting the mean of histopathology training images from all images. Next, in the 16 pre-trained networks, feature extraction was done from their final six layers, and the features extracted from each layer were fed separately into the linear and non-linear support vector machine (SVM) for classification.Results: The results obtained from the ADL database show that the classification rate in lung tissue images is much better than that of the kidney and spleen. For example, the lowest detection rate in non-linear SVM for lung tissue is 14.96%, almost close to the highest accuracy in kidney and spleen tissue. The classification accuracy of the spleen images is better than that of the kidneys, with only a slight difference. In linear SVM on lung images, ResNet101 obtained the most accurate result with a value of 99.56%, followed by ResNet50, ResNet152, VGG_16, and VGG_19. In non-linear SVM on lung tissue images, the ResNet101 network with 99.65% and ResNet50 with 99.21%, followed by ResNet152, VGG_16, and VGG_19 obtained the highest detection rate.Conclusion: The classification results obtained from different methods on the ADL (including kidney, spleen, and lung histopathology images) database, confirmed the validity of transferring knowledge between non-medical and medical histopathology images. Additionally, it demonstrates the success of combining classifiers trained on deep features. This research obtained higher accuracy in the ADL database than the works done.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"110 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140513148","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}

{"title":"Social Media and Nutritional Habits among nutrition students: A Social Work Perspective","authors":"F. Moghbeli, Sobhan Rahimian, Ali Farajzadeh, Amirreza Khamineh, Hanieh Keikhay Moghadam, Reyhaneh Ghasemi","doi":"10.30699/fhi.v12i0.514","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.514","url":null,"abstract":"Introduction: According to the research conducted in recent years and after the evolution of social networks, the statistics of obesity and the consumption of fast foods and high-calorie foods have increased significantly. Also, food blogging has become much more widespread and popular in the space of social networks, so we are investigating the impact of social networks on people's nutritional habits.Material and Methods: The purpose of this research is to examine the relationship and impact of social networks on people's nutritional habits. For this research, a 20-question questionnaire was answered by 60 college students and the obtained data was analyzed by SPSS 26.Results: The most social media has been used are Instagram, Telegram, and YouTube, and 22% use social media between 3 and 4 hours a day. More than 58% used ready food less than 2 days a week. But 56% of them reported that social media didn’t have a noticeable effect on their informed decision in choosing food.Conclusion: This study showed that the use of social media can be effective in people's lifestyle and food pattern and food intake.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"62 3‐4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139008324","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}

{"title":"Usability Evaluation of Emergency Department Information System: A Case of Discharge and Admission Sections of an Educational Hospital","authors":"Saeideh Valizadeh-Haghi, S. Rahmatizadeh, M. Forouzanfar, Z. Kohzadi, Farhad Fatehi","doi":"10.30699/fhi.v12i0.538","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.538","url":null,"abstract":"Introduction: The emergency department is amongst the most important parts of the hospital, which has a great impact on the performance of other departments. In this regard, Emergency Department Information System (EDIS) plays a vital role in providing effective and appropriate healthcare services.Material and Methods: To evaluate the user-perceived usability of admission and discharge sections of the Emergency Department Information System of Shohada-e-Tajrish Educational Hospital, the study is carried out utilizing SUS and PSSUQ scales. Research participants include all users in the admission and discharge sections of the emergency department of the Hospital.Results: The mean score of the system usability based on the results of the SUS scale was 49.62±23.23, which is lower than the acceptable level (score above 68). The results generated by the PSSUQ tool revealed that the information quality (4.79), interface quality (4.91), and system usefulness (4.42) of admission and discharge sections of the EDIS do not have appropriate scores and need to be improved in this regard. .The worst usability score was related to system usefulness. There was no statistically significant correlation between the age of participants and usability scores. Moreover, there was no statistically significant difference between the user-perceived usability and the education level of participants (p>0.05).Conclusion: The study revealed that users are not satisfied with system usability. In the event that the usability of the system is suboptimal, the user fails to effectively utilize the system, thereby impeding the attainment of the intended ultimate objective for which the system has been designed. Regarding the importance of admission and discharge sections in the EDIS, strides need to be made to improve the usability of the system which is used at the emergency department of Shohada-e-Tajrish educational hospital.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"124 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139011985","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}

{"title":"A Comparative Study of Minimum Data Set of Speech Therapy: A Systematic Literature Review","authors":"Khalil Kimiafar, Masomeh Sarbaz, D. Sobhani-Rad, Atefeh Sadat Mousavi, Marziyeh Raei Mehneh, Fatemeh Dahmardeh Kemmak, Seyyedeh Fatemeh Mousavi Baigi, Mojtaba Esmaeili","doi":"10.30699/fhi.v12i0.511","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.511","url":null,"abstract":"Introduction: A minimum data set improves the potential of data standardization and overcoming the problem of low-quality speech therapy data by providing coherent, complete, and uniform data elements. Therefore, this study was conducted to compare speech therapy minimum data set among different countries.Material and Methods: A systematic review was conducted without time limits in PubMed, Scopus, Web of Science, Embase, SID, Magiran, Elmnet databases, and in the Google search engine to retrieve articles, speech therapy forms, and speech therapy registry sites. Keywords related to speech therapy minimum data set including minimum data set, registry, and speech therapy, were used. First, studies were reviewed based on titles and abstracts. Then, the selected studies from the previous stage were examined independently by two researchers. A similar standard checklist was used to extract and compare the findings.Results: A total of 1710 related records were extracted for review, and finally, six main articles and 11 forms were included in this review. The six original articles included two related to speech therapy minimum data set in the United States, two related to Iran, and one related to Australia and Germany. A comparative review of the most important data elements obtained from the articles and input forms in this review, including identity and admission information, referral information, history, assessment of verbal skills, assessment of non-verbal skills, assessment of organs of production, assessment of cognitive skills, assessment of other aspects of speech, and linguistic and cultural considerations, were information elements related to diagnoses, recommendations, and treatment plans.Conclusion: It could be concluded that an agreed classification system is needed to facilitate communication between speech therapists. This potentially enables further testing of diagnostic and therapeutic hypotheses with more coherent and simultaneous data collection. The challenge ahead is to create a comprehensive and universally agreed-upon classification system that meets the needs of professionals and researchers.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"203 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139012912","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}

{"title":"Artificial Intelligence Literacy Among Healthcare Professionals and Students: A Systematic Review","authors":"Khalil Kimiafar, Masoumeh Sarbaz, Seyyed Mohammad Tabatabaei, Kosar Ghaddaripouri, Atefeh Sadat Mousavi, Marziyeh Raei Mehneh, Seyyedeh Fatemeh Mousavi Baigi","doi":"10.30699/fhi.v12i0.524","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.524","url":null,"abstract":"Introduction: This systematic review investigated the level of artificial intelligence (AI) literacy among healthcare professionals and students.Methods: On October 4, 2023, we searched the databases PubMed, Embase, Scopus, and Web of Science for relevant material. The evidence gathered from the studies included in this systematic review was reported in this study using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Studies that assessed the level of AI literacy among medical and health care professionals and students met the inclusion criteria for this study. The same standard checklist was used for data extraction. Among the data items contained in this form are the study reference, study nation, publication year, participant characteristics (number of participants and their field of study), study objectives, and study outcomes.Results: Of the 10 included studies, 4 (40%) reported a low level of preparation, knowledge, and literacy. In a study, it was also shown that radiologists had acceptable literacy about AI, and it seems that they had a better study of this field compared to other specialists. Another study showed that initially the level of AI literacy was not acceptable but improved significantly after training. Two studies also hailed AI's contribution to improving healthcare. Another study identified cases of clinical merit for AI that could be used to guide future teaching and learning programs in maximizing the potential benefits of AI-based tools and reducing potential harm. In another study, professional groups were required to adjust their roles in AI practice.Conclusion: Evidence from this systematic review suggests that AI literacy of healthcare professionals and students was insufficient. Training courses on AI and its application in healthcare are a must.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"2 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135086447","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}

{"title":"Information Requirements of a Self-Care Application for Patients with Kidney Stones Undergoing Extracorporeal Shock Wave Lithotripsy","authors":"Rogayeh Asadi-Shishegaran, Zeinab Mohammadzadeh, Elham Maserat","doi":"10.30699/fhi.v12i0.480","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.480","url":null,"abstract":"Introduction: Kidney stones and its treatment, control of possible complications after lithotripsy and prevention of kidney stones recurrence, are the most substantial concerns of patients and physicians. Nowadays, the high capabilities of mobile technologies have become especially important for the prevention and control of diseases and patients' self-care. Use of mobile technologies, applications and smart tools can be a good way to prevent and control kidney stones. The present study was designed to identify the data requirements to design a self-care application for patients with kidney stones undergoing extracorporeal lithotripsy.Material and Methods: This paper is a descriptive study and was performed in Sabalan Hospital in Ardabil affiliated to the Social Security Organization of Iran. A needs assessment questionnaire was designed by reviewing the scientific sources, databases, guidelines and medical records of patients. Ten clinical and technical specialists surveyed the questionnaire.Results: Four main characteristics of demographic data, clinical data, disease monitoring and application capabilities were identified. Familiarity with kidney stone disease, familiarity with treatment methods, familiarity with diet, reminders, interaction with the treating physician were the most important capabilities identified for the application.Conclusion: The findings of the survey showed that all identified items and components scored above average. The identified components were approved by experts and considered necessary.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":" 463","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135186240","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}

{"title":"Predicting Recurrence and Metastasis in Stage III Colorectal Cancer After Laparoscopic Surgery and Laparotomy","authors":"Amar Falsafi, Ali Mohammad Banan Zadeh, Seyed Mohammad Kazem Tadayon, Seyed Vahid Hosseini","doi":"10.30699/fhi.v12i0.525","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.525","url":null,"abstract":"Introduction: Colorectal cancer remains a significant health challenge, particularly in its advanced Stage III. Timely forecasting of recurrence and metastasis in these patients is crucial for optimizing postoperative care and treatment strategies. The aim of this study is to predict the likelihood of recurrence and metastasis in stage III colorectal cancer patients who have undergone laparoscopic surgery and laparotomy.Material and Methods: In this retrospective analysis, a total of 528 patients with Stage III colorectal cancer were included. Among them, 386 underwent laparoscopy, and 142 underwent laparotomies. logistic regression was employed to assess the influence of the surgical approach on the binary outcomes of recurrence and metastasis. The data were analyzed using SPSS 25, and Odds Ratios along with significance testing were performed with a threshold of p < 0.05 to determine statistical significance.Results: In the laparoscopy group, the recurrence rate was 23.7%, and although older patients (61-98 years) exhibited a higher risk of recurrence (Odds Ratio:1.88, 95% CI:0.92-3.84, p=0.083), this difference did not reach statistical significance. Gender did not significantly impact recurrence. In the laparotomy group, the recurrence rate was 29.6%, and neither age nor gender had a significant influence on recurrence. Notably, in the laparoscopy group, metastasis was significantly associated with age (Odds Ratio:5.044, 95% CI:2.08-12.23, p=0.001), while gender did not play a significant role in metastasis. Similarly, in the laparotomy group, neither age nor gender significantly affected metastasis.Conclusion: This study underscores age's influence on recurrence and metastasis rates in laparoscopic treatment for stage III colorectal cancer, highlighting the need for tailored approaches in elderly patients. In contrast, laparotomy seems to be less affected by age, with tumor size emerging as a crucial predictor of disease progression. Surgical approach significantly impacts outcomes in stage III colorectal cancer, with age affecting laparoscopy outcomes more than laparotomy. These findings emphasize the importance of personalized treatments and call for further research to validate results and enhance patient outcomes in advanced colorectal cancer.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"260 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135775549","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}