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相关概念视频

Drug Therapy01:28

Drug Therapy

45
The advent of drug therapy has profoundly shaped modern mental health care, providing targeted treatments for a range of psychological disorders. Psychotherapeutic drugs, classified into antianxiety, antidepressant, and antipsychotic medications, address symptoms across anxiety disorders, mood disorders, and schizophrenia. While these medications have transformed patient outcomes, they require careful management due to their potential side effects and limitations.
Antianxiety Medications
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Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

6.3K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
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Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists01:30

Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists

128
Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
128
Drug Dosage Regimen: Overview01:15

Drug Dosage Regimen: Overview

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A drug dosage regimen describes the specific instructions and schedule for administering a drug to a patient. It considers factors such as drug dosage, frequency, route of administration, and duration of treatment. Designing an appropriate dosage regimen for a patient aims to achieve a target drug concentration at the site of action.
Typically, the starting dose and dosing interval are guided by the manufacturer's recommendations based on clinical trials conducted during and after drug...
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Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

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The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
8.5K
Alzheimer's Disease: Treatment01:22

Alzheimer's Disease: Treatment

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Alzheimer's Disease (AD), a neurodegenerative disorder, is pathologically identified by amyloid plaques and neurofibrillary tangles composed of tau protein. AD pharmacotherapy aims to manage cognitive symptoms, delay disease progression, and treat behavioral symptoms. The treatment is primarily symptomatic and palliative, with no definitive disease-modifying therapy available. Cholinesterase inhibitors, including donepezil (Aricept), rivastigmine (Exelon), and galantamine (Razadyne), are...
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相关实验视频

Updated: Jul 8, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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ACDNet:以注意为导向的协作决策网络,以提供有效的药物推.

Jiacong Mi1, Yi Zu1, Zhuoyuan Wang1

  • 1School of Computer Science and Engineering, Key Lab of Computer Network and Information Integration, MOE, Southeast University, Nanjing, 210018, Jiangsu, China.

Journal of biomedical informatics
|December 14, 2023
PubMed
概括

本研究引入了注意引导协作决策网络 (ACDNet),用于从电子健康记录 (EHR) 中改进药物推. ACDNet提高了患者代表性和药物相似性,优于现有的模型.

关键词:
注意力机制注意力机制数据挖掘是一种数据挖掘.电子健康记录电子健康记录药物推药物推的建议变压器 变压器 变压器

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
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科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能
  • 临床决策支持系统 临床决策支持系统

背景情况:

  • 由于复杂的医疗数据,电子健康记录 (EHR) 的药物建议是复杂的.
  • 现有的个性化推模型往往缺乏足够的患者代表性,并未考虑药物记录相似性.
  • 在准确建模患者纵向数据以提供精确的药物建议方面存在差距.

研究的目的:

  • 提出一个以注意力为导向的协作决策网络 (ACDNet) 来加强EHR的药物建议.
  • 改善患者代表性,并纳入药物药物相似性,以提供更准确的建议.
  • 为了验证ACDNet与使用现实世界医疗数据集的最先进模型的有效性.

主要方法:

  • 开发了ACDNet,整合了注意力机制和变压器架构,以在全球和当地建模历史患者访问.
  • 实施了协作决策框架,利用药物记录和药物表述之间的相似性.
  • 在MIMIC-III和MIMIC-IV数据集上评估了ACDNet.

主要成果:

  • 在药物推任务中,ACDNet显著优于现有的最先进的模型,获得了优异的Jaccard,PR-AUC和F1分数.
  • 废弃实验证实了ACDNet架构中的每个模块的重要贡献.
  • 一个案例研究表明了ACDNet在现实世界医疗保健环境中的实际适用性和价值.

结论:

  • 通过有效地捕捉患者的病情和药物历史,ACDNet提供了对药物推的卓越方法.
  • 该模型考虑药物记录相似性的能力提高了推准确性和临床实用性.
  • ACDNet显示了集成到临床决策支持系统的强大潜力,以实现个性化患者护理.