Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Coronary Artery Disease IV: Preventive Measures01:26

Coronary Artery Disease IV: Preventive Measures

741
Effective preventive measures for coronary artery disease (CAD) focus on controlling modifiable risk factors, including cholesterol abnormalities and lifestyle changes.Cholesterol ManagementFirst, the Mediterranean diet and the American Heart Association advocate for maintaining low-density lipoprotein (LDL) cholesterol levels below 100 mg/dL, with a more stringent recommendation of below 70 mg/dL for individuals at high risk. LDL cholesterol, often termed "bad cholesterol," can lead to the...
741
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

942
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
942
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

4.3K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
4.3K
Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

1.2K
Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
1.2K
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

591
Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
591
Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

937
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
937

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Real-time yoga posture correction using deep learning for individuals with physical disabilities.

Scientific reports·2026
Same author

Mechanistic Structure-Property Relationships in Carbon/Polymer Composites: Connectivity, Junction Resistance, and Durability.

Polymers·2026
Same author

Evidence of Increased 3-Alpha-Androstanediol Glucuronide in Female Pattern Alopecia: A Cross-Sectional Observational Study Evaluating Ovarian, Adrenal, and Peripheral Androgens.

International journal of dermatology·2026
Same author

Polymer-Ceramic Hybrid Composites for Lightweight Solar Thermal Collector Absorbers: Thermal Transport, Optical Selectivity, and Durability.

Polymers·2026
Same author

Interphase-Centric and Mechanism-Driven Advances in Polymer Composites Reinforced with Nano-, Synthetic, and Inorganic Fillers.

Polymers·2026
Same author

Self-Healing Polymer Nanocomposites: Mechanisms, Structure-Property Relationships, and Emerging Applications.

Polymers·2026
Same journal

A Simple, Low-Cost and Effective Technique for Percutaneous Closure of a Coronary Artery Fistula: A Closed-Loop Balloon-Stent System.

The International journal of angiology : official publication of the International College of Angiology, Inc·2026
Same journal

Atrial Fibrillation After Coronary Artery Bypass Grafting: A Single-Center Study.

The International journal of angiology : official publication of the International College of Angiology, Inc·2026
Same journal

A Case of the Uncommon Cause of Chronic Coronary Syndrome: Coronary Fistula and Coronary Stenosis, Which One to Intervene?

The International journal of angiology : official publication of the International College of Angiology, Inc·2026
Same journal

Coronary Artery Disease and Loneliness: A Cross-Sectional Analysis using the Revised UCLA Loneliness Scale.

The International journal of angiology : official publication of the International College of Angiology, Inc·2026
Same journal

Navigating Through Catastrophe: Successful Unsheathed Stent Extraction in Acute Myocardial Infarction.

The International journal of angiology : official publication of the International College of Angiology, Inc·2026
Same journal

Comparative Evaluation of Transthoracic Echocardiography and Multislice Computed Tomography in the Preoperative Assessment of Tetralogy of Fallot.

The International journal of angiology : official publication of the International College of Angiology, Inc·2026
関連記事をすべて見る

関連する実験動画

Updated: Feb 19, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K

心血管疾患予防のための機械学習ベースのアンサンブル予測モデル

Neeraj Kumar1,2, Rekha Agarwal1, Lokesh Kumar Sharma3

  • 1Amity Institute of Information Technology, Amity University, Noida, Uttar Pradesh, India.

The International journal of angiology : official publication of the International College of Angiology, Inc
|February 18, 2026
PubMed
まとめ
この要約は機械生成です。

この研究は,機械学習 (ML) のアンサンブルモデルを使用して,大規模なデータセットで心血管疾患 (CVD) の予測を向上させます. 開発されたフレームワークは,高い精度を達成し,診断の安定性とCVD検出の意思決定支援を改善します.

キーワード:
心血管疾患は,心血管疾患である.早期発見 早期発見アンサンブル・ラーニングとはアンサンブル・ラーニングのことです.機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.リスクの階層化

さらに関連する動画

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.1K

関連する実験動画

Last Updated: Feb 19, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.1K

科学分野:

  • 医療情報工学 医療情報工学
  • 医療における人工知能
  • 公衆衛生は公衆衛生である.

背景:

  • 心血管疾患 (CVD) は,世界の主要な死亡原因であり,インド国内での発生率が著しく増加しています.
  • CVD予測のための現在の機械学習 (ML) モデルは,データセットのサイズと汎用性のために制限に直面し,その強度に影響を及ぼします.

研究 の 目的:

  • アンサンブル・メソッドを用いたCVD検出のための強化されたML予測モデルを開発する.
  • 広範な臨床データセットを活用することにより,CVD予測モデルの正確性と堅実性を向上させる.

主な方法:

  • 7,916件の臨床記録を含む6つのデータセットを統合し,特徴に基づいてデータセット1 (n=3,676) とデータセット2 (n=4,240) に分けました.
  • データセット1のバイナリ分類とマルチクラス分類,データセット2のバイナリ分類 (10年リスク) を適用し,同一の事前処理と探査データ分析を行った.
  • 18の異なるMLモデルを開発し,LazyPredictを使用してトップ10のパフォーマンスを選択し,それらをVoting Classifierを通じてアンサンブルモデルに統合しました.

主要な成果:

  • データセット1.のバイナリ分類では96.5%,マルチクラス分類では85.5%の精度を達成しました.
  • データセット2の10年CVDリスク予測で81.18%の精度を達成しました.
  • アンサンブルフレームワークは,従来および既存のMLモデルと比較して優れたパフォーマンスを示しました.

結論:

  • 提案されたアンサンブルMLフレームワークは,CVD予測の正確性と安定性を大幅に向上させます.
  • この研究は,CVD検出のための改善された意思決定サポートを提供し,堅牢なモデリングを通じてバイアスを軽減します.
  • このアプローチは,現在のMLベースのCVD予測システムにおけるデータセットサイズと汎用性の制限に対処しています.