Titre : Amidohydrolases

Amidohydrolases : Questions médicales fréquentes

Termes MeSH sélectionnés :

Natural Language Processing
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amidohydrolases ?\nY a-t-il des signes cutanés associés aux troubles enzymatiques ?\nLes symptômes varient-ils selon le type d'amidohydrolase ?\nLes symptômes sont-ils immédiats ou progressifs ?", "url": "https://questionsmedicales.fr/mesh/D000581?mesh_terms=Natural+Language+Processing&page=8#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Amidohydrolases", "description": "Peut-on prévenir les troubles liés aux amidohydrolases ?\nLes tests génétiques peuvent-ils aider à la prévention ?\nUne alimentation équilibrée peut-elle prévenir ces troubles ?\nLes vaccinations ont-elles un rôle dans la prévention ?\nL'éducation sur les maladies héréditaires est-elle importante ?", "url": "https://questionsmedicales.fr/mesh/D000581?mesh_terms=Natural+Language+Processing&page=8#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Amidohydrolases", "description": "Quels traitements existent pour les déficiences en amidohydrolases ?\nLes médicaments peuvent-ils aider à réguler l'activité des amidohydrolases ?\nLa thérapie génique est-elle une option pour ces troubles ?\nLes changements alimentaires peuvent-ils améliorer les symptômes ?\nY a-t-il des traitements naturels pour les troubles d'amidohydrolases ?", "url": "https://questionsmedicales.fr/mesh/D000581?mesh_terms=Natural+Language+Processing&page=8#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Amidohydrolases", "description": "Quelles complications peuvent survenir avec des troubles d'amidohydrolases ?\nLes troubles d'amidohydrolases peuvent-ils affecter la croissance ?\nY a-t-il des risques de maladies auto-immunes ?\nLes complications sont-elles réversibles ?\nComment surveiller les complications potentielles ?", "url": "https://questionsmedicales.fr/mesh/D000581?mesh_terms=Natural+Language+Processing&page=8#section-complications" }, { "@type": 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enzymatiques dans le sérum peuvent indiquer l'activité des amidohydrolases." } }, { "@type": "Question", "name": "Les biopsies sont-elles nécessaires pour le diagnostic ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Dans certains cas, des biopsies peuvent être nécessaires pour évaluer l'activité enzymatique." } }, { "@type": "Question", "name": "Quels symptômes peuvent indiquer un problème d'amidohydrolases ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Des troubles digestifs ou métaboliques peuvent signaler une anomalie enzymatique." } }, { "@type": "Question", "name": "Peut-on utiliser l'imagerie pour diagnostiquer des troubles liés aux amidohydrolases ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "L'imagerie n'est pas spécifique, mais peut aider à évaluer des complications associées." } }, { "@type": "Question", "name": "Quels sont les symptômes d'une déficience en amidohydrolases ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent des douleurs abdominales, des ballonnements et des troubles digestifs." } }, { "@type": "Question", "name": "Les troubles métaboliques sont-ils liés aux amidohydrolases ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une activité enzymatique anormale peut entraîner divers troubles métaboliques." } }, { "@type": "Question", "name": "Y a-t-il des signes cutanés associés aux troubles enzymatiques ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Des éruptions cutanées peuvent survenir en raison de déséquilibres métaboliques." } }, { "@type": "Question", "name": "Les symptômes varient-ils selon le type d'amidohydrolase ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les symptômes peuvent varier en fonction de l'enzyme spécifique impliquée." } }, { "@type": "Question", "name": "Les symptômes sont-ils immédiats ou progressifs ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Ils peuvent être progressifs, se développant avec le temps en fonction de la déficience." } }, { "@type": "Question", "name": "Peut-on prévenir les troubles liés aux amidohydrolases ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "La prévention est difficile, mais un mode de vie sain peut réduire les risques." } }, { "@type": "Question", "name": "Les tests génétiques peuvent-ils aider à la prévention ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les tests génétiques peuvent identifier les personnes à risque de déficiences enzymatiques." } }, { "@type": "Question", "name": "Une alimentation équilibrée peut-elle prévenir ces troubles ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Une alimentation équilibrée peut soutenir la santé enzymatique, mais ne garantit pas la prévention." } }, { "@type": "Question", "name": "Les vaccinations ont-elles un rôle dans la prévention ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Les vaccinations ne sont pas directement liées à la prévention des troubles enzymatiques." } }, { "@type": "Question", "name": "L'éducation sur les maladies héréditaires est-elle importante ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'éducation peut aider les familles à comprendre et à gérer les risques associés." } }, { "@type": "Question", "name": "Quels traitements existent pour les déficiences en amidohydrolases ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements peuvent inclure des suppléments enzymatiques et des modifications diététiques." } }, { "@type": "Question", "name": "Les médicaments peuvent-ils aider à réguler l'activité des amidohydrolases ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Certains médicaments peuvent moduler l'activité enzymatique, mais leur efficacité varie." } }, { "@type": "Question", "name": "La thérapie génique est-elle une option pour ces troubles ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "La thérapie génique est en recherche, mais pas encore largement disponible pour ces troubles." } }, { "@type": "Question", "name": "Les changements alimentaires peuvent-ils améliorer les symptômes ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une alimentation adaptée peut aider à gérer les symptômes liés aux déficiences enzymatiques." } }, { "@type": "Question", "name": "Y a-t-il des traitements naturels pour les troubles d'amidohydrolases ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Certaines approches naturelles peuvent aider, mais il est essentiel de consulter un médecin." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir avec des troubles d'amidohydrolases ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des complications digestives, métaboliques et neurologiques peuvent se développer." } }, { "@type": "Question", "name": "Les troubles d'amidohydrolases peuvent-ils affecter la croissance ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des déficiences enzymatiques peuvent entraîner des retards de croissance chez les enfants." } }, { "@type": "Question", "name": "Y a-t-il des risques de maladies auto-immunes ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Certaines études suggèrent un lien entre les troubles enzymatiques et les maladies auto-immunes." } }, { "@type": "Question", "name": "Les complications sont-elles réversibles ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Certaines complications peuvent être gérées, mais d'autres peuvent être permanentes." } }, { "@type": "Question", "name": "Comment surveiller les complications potentielles ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Des suivis réguliers avec des professionnels de santé sont essentiels pour surveiller les complications." } }, { "@type": "Question", "name": "Quels sont les facteurs de risque pour les troubles d'amidohydrolases ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent des antécédents familiaux, des maladies génétiques et des régimes alimentaires déséquilibrés." } }, { "@type": "Question", "name": "L'âge influence-t-il le risque de troubles enzymatiques ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certains troubles enzymatiques se manifestent plus fréquemment à des âges spécifiques." } }, { "@type": "Question", "name": "Les maladies métaboliques augmentent-elles le risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les maladies métaboliques peuvent prédisposer à des déficiences en amidohydrolases." } }, { "@type": "Question", "name": "Le mode de vie peut-il influencer le risque ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Un mode de vie malsain, incluant une mauvaise alimentation, peut augmenter le risque." } }, { "@type": "Question", "name": "Les facteurs environnementaux jouent-ils un rôle ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certains facteurs environnementaux peuvent influencer l'expression des gènes liés aux amidohydrolases." } } ] } ] }

Sous-catégories

23 au total
└─

N-acetylmuramoyl-l-alanine amidase

N-Acetylmuramoyl-L-alanine Amidase D009238 - D08.811.277.087.030
└─

Allophanate hydrolase

Allophanate Hydrolase D000492 - D08.811.277.087.060
└─

Formamidase

Arylformamidase D005558 - D08.811.277.087.100
└─

Asparaginase

Asparaginase D001215 - D08.811.277.087.116
└─

N4-(beta-N-acetylglucosaminyl)-L-asparaginase

Aspartylglucosylaminase D001227 - D08.811.277.087.125
└─

bêta-Lactamases

beta-Lactamases D001618 - D08.811.277.087.180
└─

Biotinidase

Biotinidase D043523 - D08.811.277.087.200
└─

Ceramidases

Ceramidases D055572 - D08.811.277.087.250
└─

Dihydro-orotase

Dihydroorotase D004080 - D08.811.277.087.280
└─

Glutaminase

Glutaminase D005972 - D08.811.277.087.483
└─

Histone deacetylases

Histone Deacetylases D006655 - D08.811.277.087.520
└─

Nicotinamidase

Nicotinamidase D009535 - D08.811.277.087.610
└─

Penicillin amidase

Penicillin Amidase D010399 - D08.811.277.087.690
└─

Peptide-N4-(N-acetyl-beta-glucosaminyl) asparagine amidase

Peptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine Amidase D043524 - D08.811.277.087.725
└─

5-Oxoprolinase(ATP-hydrolysing)

Pyroglutamate Hydrolase D011752 - D08.811.277.087.760
└─

Urease

Urease D014510 - D08.811.277.087.902
└─└─

Cephalosporinase

Cephalosporinase D002510 - D08.811.277.087.180.229
└─└─

Penicillinase

Penicillinase D010405 - D08.811.277.087.180.697
└─└─

Acid Ceramidase

Acid Ceramidase D055573 - D08.811.277.087.250.100
└─└─

Alkaline Ceramidase

Alkaline Ceramidase D055574 - D08.811.277.087.250.300
└─└─

Neutral Ceramidase

Neutral Ceramidase D055576 - D08.811.277.087.250.650
└─└─

Group III Histone Deacetylases

Group III Histone Deacetylases D056545 - D08.811.277.087.520.200
└─└─

Histone deacetylase 6

Histone Deacetylase 6 D000073864 - D08.811.277.087.520.350

Sources (10000 au total)

Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer.

This study sought to explore the use of novel natural language processing (NLP) methods for classifying unstructured, qualitative textual data from interviews of patients with cancer to identify patie... We tested the ability of 4 NLP models to accurately classify text from interview transcripts as "symptom," "quality of life impact," and "other." Interview data sets from patients with hepatocellular ... NLP models accurately classified multiclass text from patient interviews. The Bidirectional Encoder Representations from Transformers model generally outperformed all other models at paragraph and sen... NLP models were accurate in predicting multiclass classification of text from interviews of patients with cancer, with most surpassing 0.9 ROC AUC at paragraph level. NLP may be a useful tool for scal...

The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review.

The growing availability of big data spontaneously generated by social media platforms allows us to leverage natural language processing (NLP) methods as valuable tools to understand the opioid crisis... We aimed to understand how NLP has been applied to Reddit (Reddit Inc) data to study opioid use.... We systematically searched for peer-reviewed studies and conference abstracts in PubMed, Scopus, PsycINFO, ACL Anthology, IEEE Xplore, and Association for Computing Machinery data repositories up to J... In total, 30 studies were included, which were classified into 4 nonmutually exclusive overarching goal categories: methodological (n=6, 20% studies), infodemiology (n=22, 73% studies), infoveillance ... This scoping review identified a wide variety of NLP techniques and applications used to support surveillance and social media interventions addressing the opioid crisis. Despite the clear potential o...

Generalizability and portability of natural language processing system to extract individual social risk factors.

The objective of this study is to validate and report on portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes, which ... A rule-based deterministic state machine NLP model was developed to extract financial insecurity and housing instability using notes from one institution and was applied on all notes written during 6 ... More than 6 million notes were processed at the receiving site by the NLP model, which resulted in about 13,000 and 19,000 classified as positive for financial insecurity and housing instability, resp... Our study illustrated the need to accommodate institution-specific note-writing templates as well as clinical terminology of emergent diseases when applying NLP model for social factors. A state machi... Rule-based NLP model to extract social factors from clinical notes showed strong portability and generalizability across organizationally and geographically distinct institutions. With only relatively...

Long-term epilepsy outcome dynamics revealed by natural language processing of clinic notes.

Electronic medical records allow for retrospective clinical research with large patient cohorts. However, epilepsy outcomes are often contained in free text notes that are difficult to mine. We recent... We applied our previously validated NLP algorithms to extract seizure freedom, seizure frequency, and date of most recent seizure from outpatient visits at our epilepsy center from 2010 to 2022. We ex... Performance of our algorithms on classifying seizure freedom was comparable to that of human reviewers (algorithm F... Our findings demonstrate that epilepsy outcome measures can be extracted accurately from unstructured clinical note text using NLP. At our tertiary center, the disease course often followed a remittin...

Classifying Firearm Injury Intent in Electronic Hospital Records Using Natural Language Processing.

International Classification of Diseases-coded hospital discharge data do not accurately reflect whether firearm injuries were caused by assault, unintentional injury, self-harm, legal intervention, o... To assess the accuracy with which an ML model identified firearm injury intent.... A cross-sectional retrospective EHR review was conducted at 3 level I trauma centers, 2 from health care institutions in Boston, Massachusetts, and 1 from Seattle, Washington, between January 1, 2000,... Classification of firearm injury intent.... Intent classification accuracy by the NLP model was compared with ICD codes assigned by medical record coders in discharge data. The NLP model extracted intent-relevant features from narrative text th... The NLP model was evaluated in 381 patients presenting with firearm injury at the model development site (mean [SD] age, 39.2 [13.0] years; 348 [91.3%] men) and 304 patients at the external developmen... The findings of this study suggest that NLP ML can be used to improve the accuracy of firearm injury intent classification compared with ICD-coded discharge data, particularly for cases of accident an...

Classifying literature mentions of biological pathogens as experimentally studied using natural language processing.

Information pertaining to mechanisms, management and treatment of disease-causing pathogens including viruses and bacteria is readily available from research publications indexed in MEDLINE. However, ... In this work, we lay the foundations for the development of automatic methods for characterising mentions of pathogens in scientific literature, focusing on the task of identifying research that invol... We developed a pathogen mention characterisation literature data set -READBiomed-Pathogens- automatically using NCBI resources, which we make available. Resources such as the NCBI Taxonomy, MeSH and G... We show that our data set READBiomed-Pathogens can be used to explore natural language processing configurations for experimental pathogen mention characterisation. READBiomed-Pathogens includes citat... We studied the characterisation of experimentally studied pathogens in scientific literature, developing several natural language processing methods supported by an automatically developed data set. A... N/A....

Analysis of addiction craving onset through natural language processing of the online forum Reddit.

Alcohol cravings are considered a major factor in relapse among individuals with alcohol use disorder (AUD). This study aims to investigate the frequency and triggers of cravings in the daily lives of... For the analysis, posts from the online forum "stopdrinking" on the Reddit platform were used as the dataset from April 2017 to April 2022. The posts were filtered for craving content and processed us... Approximately 16% of the forum posts discuss cravings. The number of craving-related posts decreases exponentially with the number of days since the author's last alcoholic drink. The topic model conf... This exploratory approach is the first to analyze alcohol cravings in the daily lives of over 24,000 individuals, providing a foundation for further AI-based craving analyses. The analysis confirms co...

Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing.

Mpox has been declared a Public Health Emergency of International Concern by the World Health Organization on July 23, 2022. Since early May 2022, Mpox has been continuously reported in several endemi... This was a detailed qualitative study using natural language processing on the user-generated comments from social media.... A detailed analysis using topic modeling and sentiment analysis on Reddit comments (n = 289,073) that were posted between June 1 and August 5, 2022, was conducted. While the topic modeling was used to... The results revealed several interesting and useful themes, such as Mpox symptoms, Mpox transmission, international travel, government interventions, and homophobia from the user-generated contents. T... Analyzing public discourse and sentiments toward health emergencies and disease outbreaks is highly important. The insights that could be leveraged from the user-generated comments from public forums ...

Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists.

Artificial intelligence (AI) can interpret abnormal signs in chest radiography (CXR) and generate captions, but a prospective study is needed to examine its practical value.... To prospectively compare natural language processing (NLP)-generated CXR captions and the diagnostic findings of radiologists.... A multicenter diagnostic study was conducted. The training data set included CXR images and reports retrospectively collected from February 1, 2014, to February 28, 2018. The retrospective test data s... A bidirectional encoder representation from a transformers model was used to extract language entities and relationships from unstructured CXR reports to establish 23 labels of abnormal signs to train... Time to write reports based on different caption generation models.... The training data set consisted of 74 082 cases (39 254 [53.0%] women; mean [SD] age, 50.0 [17.1] years). In the retrospective (n = 8126; 4345 [53.5%] women; mean [SD] age, 47.9 [15.9] years) and pros... In this diagnostic study of NLP-generated CXR captions, prior information provided by NLP was associated with greater efficiency in the reporting process, while maintaining good consistency with the f...