標題: Titlebook: Explainable AI in Healthcare and Medicine; Building a Culture o Arash Shaban-Nejad,Martin Michalowski,David L. Buc Book 2021 The Editor(s) [打印本頁] 作者: formation 時間: 2025-3-21 16:16
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作者: Enliven 時間: 2025-3-21 22:02 作者: 同謀 時間: 2025-3-22 02:57
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs,ch provide important information about a patient’s health status. These sequences of clinical measurements are naturally represented as time series, characterized by multiple variables and large amounts of missing data, which complicate the analysis. In this work, we propose a novel kernel which is 作者: 反抗者 時間: 2025-3-22 05:16 作者: 手工藝品 時間: 2025-3-22 12:31 作者: 不吉祥的女人 時間: 2025-3-22 14:23 作者: 不吉祥的女人 時間: 2025-3-22 17:55 作者: 敏捷 時間: 2025-3-22 23:41
A Dynamic Deep Neural Network for Multimodal Clinical Data Analysis,o foster precision medicine, e.g. by finding new disease phenotypes or performing individual disease prediction. However, to take full advantage of deep learning methods on clinical data, architectures are necessary that (1) are robust with respect to missing and wrong values, and (2) can deal with 作者: Carminative 時間: 2025-3-23 02:44
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heartility data. We collect RR interval time series data from nearly 100 firefighter trainees that participated in a drill. We explore and compare three methods in order to perform unsupervised stress detection: (1) traditional K-Means clustering with engineered time and frequency domain features (2) con作者: Infelicity 時間: 2025-3-23 08:21 作者: myocardium 時間: 2025-3-24 04:33 作者: SEEK 時間: 2025-3-24 10:05
Natural vs. Artificially Sweet Tweets: Characterizing Discussions of Non-nutritive Sweeteners on Tw to natural sweeteners such as Stevia versus artificial, and traditionally-used ones like aspartame in recent years, there has been discussion around potential negative side effects, including memory loss and other chronic illnesses. These issues are discussed on Twitter, and we hypothesize that Twi作者: indignant 時間: 2025-3-24 13:42 作者: 高度表 時間: 2025-3-24 17:26 作者: Anticoagulant 時間: 2025-3-24 19:00
,Quantitative Evaluation of Emergency Medicine Resident’s Non-technical Skills Based on Trajectory ag skills) of Emergency Medicine Residents (EMRs) who are participating in a simulation-based training. This method creates a workflow event database based on the trajectories of and conversations among the medical personnel and scores an EMR’s non-technical skills based on that database. We installe作者: VAN 時間: 2025-3-25 03:14 作者: 悠然 時間: 2025-3-25 07:16 作者: 社團 時間: 2025-3-25 10:34 作者: beta-carotene 時間: 2025-3-25 14:58 作者: 誤傳 時間: 2025-3-25 19:33 作者: 高談闊論 時間: 2025-3-26 00:04
Fast Similar Patient Retrieval from Large Scale Healthcare Data: A Deep Learning-Based Binary Hashithe data size increased. The retrieval efficiency increased as the number of bits in binary hash codes increased. Descriptive analysis revealed distinct profiles between similar patients and the overall patient cohort.作者: 表兩個 時間: 2025-3-26 02:36
Uncertainty Characterization for Predictive Analytics with Clinical Time Series Data, for improved performance over SOTA methods, and characterize aleatoric uncertainty in the setting of noisy features. Importantly, we demonstrate how our uncertainty estimates could be used in realistic prediction scenarios to better interpret the reliability of the data and the model predictions, and improve relevance for decision support.作者: antidepressant 時間: 2025-3-26 05:28 作者: 規(guī)范要多 時間: 2025-3-26 08:31
Visualization of Deep Models on Nursing Notes and Physiological Data for Predicting Health Outcomesns results and it is capable of sending warnings for crashing patients in a more timely manner. Also, to illustrate the different focal points of the models, we identified the top contributing factors each deep model utilizes to make predictions.作者: chastise 時間: 2025-3-26 14:09
Character-Level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis,-level from chest radiographs. We evaluated the method using a public dataset of Japanese chest radiograph findings. Furthermore, we confirmed via visual inspection that the attention mechanism captures the features and positional information of radiographs.作者: surmount 時間: 2025-3-26 19:34
1860-949X and applications.Includes revised versions of selected papeThis book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for t作者: Encephalitis 時間: 2025-3-27 00:37
Renée K. Margolis,Richard U. Margolishealth and medicine depends on the degree to which they support interoperability, to allow consistent integration of different systems and data sources, and explainability, to make their decisions understandable, interpretable, and justifiable by humans.作者: macabre 時間: 2025-3-27 04:09 作者: ellagic-acid 時間: 2025-3-27 05:26
,Quantitative Evaluation of Emergency Medicine Resident’s Non-technical Skills Based on Trajectory alts show that the method can create a workflow event database for cardiac arrest. In addition, we evaluated EMRs who are beginners, intermediates, and experts to show that our method can correctly represent the differences in their skill levels.作者: Habituate 時間: 2025-3-27 10:32
Book 2021d papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide ra作者: 狂怒 時間: 2025-3-27 15:16
Explainability and Interpretability: Keys to Deep Medicine,health and medicine depends on the degree to which they support interoperability, to allow consistent integration of different systems and data sources, and explainability, to make their decisions understandable, interpretable, and justifiable by humans.作者: Mobile 時間: 2025-3-27 20:01
Book 2021th care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.作者: hemorrhage 時間: 2025-3-28 00:20 作者: minion 時間: 2025-3-28 03:41 作者: Forsake 時間: 2025-3-28 08:47
Neurochemistry of Parkinsonism,, i.e., the percentage of normoglycemia, . for the adults and . for the adolescents, which outperforms previous approaches significantly. These results indicate that deep RL has great potential to improve the treatment of chronic diseases such as diabetes.作者: white-matter 時間: 2025-3-28 12:36 作者: prosthesis 時間: 2025-3-28 14:37 作者: 吞沒 時間: 2025-3-28 20:10
https://doi.org/10.1007/978-1-4899-0682-3sizes of clusters. We attempt at identifying the true stressed and normal clusters using the HRV markers of mental stress reported in the literature. We demonstrate that the clusters produced by the convolutional autoencoders consistently and successfully stratify stressed versus normal samples, as 作者: Urea508 時間: 2025-3-29 02:05 作者: 認識 時間: 2025-3-29 06:20
The Institutional Structure of Productionge, we extract . utterances—parts of the conversation likely to be cited as evidence supporting some summary sentence. We find that by first filtering for (predicted) noteworthy utterances, we can significantly boost predictive performance for recognizing both diagnoses and RoS abnormalities.作者: 真 時間: 2025-3-29 09:37 作者: mosque 時間: 2025-3-29 14:24
Normal Frames in Vector Bundles,l and structural patterns. They showed the divergent sensitivities in the spike timing and retweet patterns compared to simulated RandomNet. High self-clustering patterns by governmental and public tweets can hinder efficient communication/information spreading. Epidemic related social media surveil作者: MIR 時間: 2025-3-29 16:31
Arrigo F. G. Cicero,Alessandro Collettierformance. Compared to the baseline, our best-performing models improve the dosage and frequency extractions’ ROUGE-1 F1 scores from 54.28 and 37.13 to 89.57 and 45.94, respectively. Using our best-performing model, we present the first fully automated system that can extract Medication Regimen tag作者: Figate 時間: 2025-3-29 20:41
1860-949X dustry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.978-3-030-53354-0978-3-030-53352-6Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Nonflammable 時間: 2025-3-30 01:36
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs,le approach ensures robustness to hyperparameters and therefore TCK. is particularly well suited if there is a lack of labels—a known challenge in medical applications. Experiments on three real-world clinical datasets demonstrate the effectiveness of the proposed kernel.作者: headway 時間: 2025-3-30 05:47
,Machine Learning Discrimination of Parkinson’s Disease Stages from Walker-Mounted Sensors Data,he results indicate a feasibility of machine learning to accurately classify PD severity stages from kinematic signals acquired by low-cost, walker-mounted sensors and can aid medical practitioners in quantitative assessment of PD progression. The study presents a solution to the small and noisy dat作者: 禍害隱伏 時間: 2025-3-30 09:17
Personalized Dual-Hormone Control for Type 1 Diabetes Using Deep Reinforcement Learning,, i.e., the percentage of normoglycemia, . for the adults and . for the adolescents, which outperforms previous approaches significantly. These results indicate that deep RL has great potential to improve the treatment of chronic diseases such as diabetes.作者: maverick 時間: 2025-3-30 15:49
A Generalizable Method for Automated Quality Control of Functional Neuroimaging Datasets,performed, expert reviewers visually inspect individual raw scans and preprocessed derivatives to determine viability of the data. This Quality Control (QC) process is labor intensive, and the inability to adequately automate at large scale has proven to be a limiting factor in clinical neuroscience作者: 哥哥噴涌而出 時間: 2025-3-30 19:54 作者: Critical 時間: 2025-3-30 23:10 作者: orthodox 時間: 2025-3-31 02:37 作者: Robust 時間: 2025-3-31 05:32 作者: Mnemonics 時間: 2025-3-31 11:38
Natural vs. Artificially Sweet Tweets: Characterizing Discussions of Non-nutritive Sweeteners on Twmodel analysis and characterize tweet volumes over time, showing a diversity of sweetener-related content and discussion. Our findings suggest a variety of research questions that these data may support.作者: 顛簸地移動 時間: 2025-3-31 15:52
On-line (TweetNet) and Off-line (EpiNet): The Distinctive Structures of the Infectious,l and structural patterns. They showed the divergent sensitivities in the spike timing and retweet patterns compared to simulated RandomNet. High self-clustering patterns by governmental and public tweets can hinder efficient communication/information spreading. Epidemic related social media surveil作者: Constant 時間: 2025-3-31 18:16
Medication Regimen Extraction from Medical Conversations,erformance. Compared to the baseline, our best-performing models improve the dosage and frequency extractions’ ROUGE-1 F1 scores from 54.28 and 37.13 to 89.57 and 45.94, respectively. Using our best-performing model, we present the first fully automated system that can extract Medication Regimen tag作者: 證實 時間: 2025-4-1 00:43
https://doi.org/10.1007/978-3-030-53352-6Health Intelligence; Precession Medicine; Precession Health; Digital Medicine; Big Data; Predictive Analy作者: Inelasticity 時間: 2025-4-1 02:21
Renée K. Margolis,Richard U. Margolisromising concept that is gaining attention over traditional EMR-based medical information management systems. The success of intelligent solutions in health and medicine depends on the degree to which they support interoperability, to allow consistent integration of different systems and data source作者: IST 時間: 2025-4-1 09:02
The Synthesis of Acetylcholine,milarity measures, how to accurately and efficiently retrieve similar patients from large scale healthcare data remains less explored. Similar patient retrieval has become increasingly important and challenging as the volume of healthcare data grows rapidly. To address the challenge, we propose a co作者: 六邊形 時間: 2025-4-1 10:33 作者: 典型 時間: 2025-4-1 17:17
Compartmentation of Amino Acid Metabolism,me wearables, limiting usability. This study applies machine learning to discriminate six stages of PD. The data was acquired by low cost walker-mounted sensors at a movement disorders clinic. A large set of features were extracted and three feature selection methods were compared using a Random For作者: 表狀態(tài) 時間: 2025-4-1 20:05
Neurochemistry of Parkinsonism,dilated recurrent neural networks are used to learn the control strategy, trained by a variant of Q-learning. The inputs to the model include the real-time sensed glucose and meal carbohydrate content, and the outputs are the actions necessary to deliver dual-hormone (basal insulin and glucagon) con作者: 填料 時間: 2025-4-2 01:34 作者: DOTE 時間: 2025-4-2 03:53 作者: 貪心 時間: 2025-4-2 09:05
Introduction to Evolutionary Computationo foster precision medicine, e.g. by finding new disease phenotypes or performing individual disease prediction. However, to take full advantage of deep learning methods on clinical data, architectures are necessary that (1) are robust with respect to missing and wrong values, and (2) can deal with 作者: 飾帶 時間: 2025-4-2 12:51
https://doi.org/10.1007/978-1-4899-0682-3ility data. We collect RR interval time series data from nearly 100 firefighter trainees that participated in a drill. We explore and compare three methods in order to perform unsupervised stress detection: (1) traditional K-Means clustering with engineered time and frequency domain features (2) con作者: 草本植物 時間: 2025-4-2 15:57
