標(biāo)題: Titlebook: Artificial Intelligence in Medicine; 20th International C Martin Michalowski,Syed Sibte Raza Abidi,Samina Ab Conference proceedings 2022 Th [打印本頁] 作者: malfeasance 時間: 2025-3-21 16:11
書目名稱Artificial Intelligence in Medicine影響因子(影響力)
書目名稱Artificial Intelligence in Medicine影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in Medicine網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in Medicine網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in Medicine被引頻次
書目名稱Artificial Intelligence in Medicine被引頻次學(xué)科排名
書目名稱Artificial Intelligence in Medicine年度引用
書目名稱Artificial Intelligence in Medicine年度引用學(xué)科排名
書目名稱Artificial Intelligence in Medicine讀者反饋
書目名稱Artificial Intelligence in Medicine讀者反饋學(xué)科排名
作者: 疲憊的老馬 時間: 2025-3-22 00:08
Springer Series in Fashion Businessformalization of this knowledge as an ontology, and its use to detect chronic hypertension patient treatment deviations from standard DT models with regard to drug replacement (step-1 treatment) and drug supplementation (step-2 treatment).作者: 四海為家的人 時間: 2025-3-22 02:00 作者: Blanch 時間: 2025-3-22 06:58
https://doi.org/10.1007/978-3-319-91101-4n that combines the advantages of the different methods. Our experiments on real and synthetic data show that the proposed approach outperforms the best existing methods in the accuracy of diagnosis when the number of diagnoses and symptoms is large. The models and the code are freely available online (.).作者: 爵士樂 時間: 2025-3-22 08:43
https://doi.org/10.1007/978-3-319-61397-0ral cohorts and extracted faithful decision trees from the models as global surrogate explanations. Comparative exploration of the decision trees reveals insightful information about how the information gain of the input features changes over time.作者: assent 時間: 2025-3-22 12:58 作者: 使更活躍 時間: 2025-3-22 19:13
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularizationn that combines the advantages of the different methods. Our experiments on real and synthetic data show that the proposed approach outperforms the best existing methods in the accuracy of diagnosis when the number of diagnoses and symptoms is large. The models and the code are freely available online (.).作者: Painstaking 時間: 2025-3-22 22:39
Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinral cohorts and extracted faithful decision trees from the models as global surrogate explanations. Comparative exploration of the decision trees reveals insightful information about how the information gain of the input features changes over time.作者: 偏狂癥 時間: 2025-3-23 01:44
Conference proceedings 2022, NS, Canada, in June 2022.. The 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image processing; predictive modeling; natural language processing..作者: LIKEN 時間: 2025-3-23 07:23
Fashion Design in Altermodern Chinahat inputs disease and patient-specific information and outputs a management plan. We describe research focused on selected aspects of pipeline development and illustrate these aspects with a clinical case implemented using the PDDL planning language and the OPTIC planner.作者: CLAM 時間: 2025-3-23 12:39
School Uniform Reforms in Modern Japanmonstrate that our model outperforms existing state-of-the-art models under the same privacy budget on several benchmark data sets. In addition, we combine our method with federated learning, enabling a more secure way of synthetic data generation without the need of uploading locally collected data to a central repository.作者: CRAB 時間: 2025-3-23 17:40
Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patientshat inputs disease and patient-specific information and outputs a management plan. We describe research focused on selected aspects of pipeline development and illustrate these aspects with a clinical case implemented using the PDDL planning language and the OPTIC planner.作者: 先行 時間: 2025-3-23 19:20
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANsmonstrate that our model outperforms existing state-of-the-art models under the same privacy budget on several benchmark data sets. In addition, we combine our method with federated learning, enabling a more secure way of synthetic data generation without the need of uploading locally collected data to a central repository.作者: Small-Intestine 時間: 2025-3-24 01:09 作者: neuron 時間: 2025-3-24 03:53
0302-9743 in Halifax, NS, Canada, in June 2022.. The 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image processing; predictive modeling; natural language processing..978作者: arrogant 時間: 2025-3-24 08:32 作者: COUCH 時間: 2025-3-24 11:44
Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients diseases is supported by clinical practice guidelines, concurrent application of multiple guidelines requires checking for possible adverse interactions between interventions and mitigating them, before a management plan is constructed. In earlier work, we developed an approach that casts the probl作者: Ovulation 時間: 2025-3-24 16:36 作者: OPINE 時間: 2025-3-24 21:15 作者: 圓桶 時間: 2025-3-25 01:47
Ontological Representation of Causal Relations for a Deep Understanding of Associations Between Vari associations without going further. However, each association comes from causal relations. Causal diagrams are visual representations enabling to understand causal mechanisms behind the association found. In the era of big data and growing number of variables, visual approaches become inefficient. 作者: calorie 時間: 2025-3-25 03:26 作者: 褲子 時間: 2025-3-25 08:47 作者: 生命 時間: 2025-3-25 13:57
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularizationtom checking systems based on Bayesian methods, decision trees, or information gain methods are easy to train and do not require significant computational resources. However, their drawbacks are low relevance of proposed symptoms and insufficient quality of diagnostics. The best results on these tas作者: SOBER 時間: 2025-3-25 16:30 作者: AWRY 時間: 2025-3-25 21:33
Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study, leading to the decline in the use of recurrence in neural network models. As established in the seminal paper, Attention Is All You Need, recurrence can be removed in favor of a simpler model using only self-attention. While transformers have shown themselves to be robust in a variety of text and 作者: ENNUI 時間: 2025-3-26 03:28 作者: STRIA 時間: 2025-3-26 05:00 作者: GRAVE 時間: 2025-3-26 12:28 作者: libertine 時間: 2025-3-26 15:18
Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Deviceslth and mental health, where fine-grained monitoring of patients form the basis for so-called ecological momentary assessments and interventions, play a central role as complementary technology-based and data-driven instruments to traditional psychological treatments. Mobile devices are hereby key e作者: amygdala 時間: 2025-3-26 20:17 作者: antiandrogen 時間: 2025-3-26 21:47 作者: 溫和女人 時間: 2025-3-27 03:33 作者: objection 時間: 2025-3-27 06:09 作者: 起草 時間: 2025-3-27 09:29
Springer Series in Fashion Businessns at points-of-care. The computerization of such guidelines in terms of a Task Network Model (TNM) conveniently models them as intuitive workflow models, which can be executed against patient health profiles. We present the GLEAN model that encodes an extensible Finite State Machine (FSM) execution作者: Substitution 時間: 2025-3-27 14:51 作者: coagulate 時間: 2025-3-27 21:06
Springer Series in Fashion Businessval techniques used in Literature Based Discovery (LBD) suffer from the problem of incomplete knowledge extraction resulting in a large number of knowledge entities being missed. Recently, knowledge graphs (KGs) have been used to represent literature-derived knowledge and support knowledge discovery作者: 提煉 時間: 2025-3-28 00:29 作者: 晚間 時間: 2025-3-28 06:06 作者: Palatial 時間: 2025-3-28 06:33 作者: sphincter 時間: 2025-3-28 10:38
Fashion in the Fairy Tale Traditionechanics, and characterize progression pathways within the SOM. Three-dimensional knee kinematics and kinetics observations of asymptomatic (n?=?236), moderate knee OA (n?=?341), severe knee OA (pre Total Knee Arthroplasty (TKA); n?=?145) and post-TKA (n?=?201) gait were collected. Principal compone作者: carotid-bruit 時間: 2025-3-28 17:47
https://doi.org/10.1007/978-3-319-91101-4tom checking systems based on Bayesian methods, decision trees, or information gain methods are easy to train and do not require significant computational resources. However, their drawbacks are low relevance of proposed symptoms and insufficient quality of diagnostics. The best results on these tas作者: Ointment 時間: 2025-3-28 19:32 作者: 無表情 時間: 2025-3-29 01:53 作者: 整體 時間: 2025-3-29 03:43 作者: FLAGR 時間: 2025-3-29 08:55 作者: 混合物 時間: 2025-3-29 13:24
https://doi.org/10.1007/978-3-319-97199-5er, such datasets are often small, making the training of deep neural network architectures ineffective. For time-series, the suite of data augmentation tricks we can use to expand the size of the dataset is limited by the need to maintain the basic properties of the signal. Data generated by a Gene作者: intoxicate 時間: 2025-3-29 16:09
https://doi.org/10.1007/978-3-319-97199-5lth and mental health, where fine-grained monitoring of patients form the basis for so-called ecological momentary assessments and interventions, play a central role as complementary technology-based and data-driven instruments to traditional psychological treatments. Mobile devices are hereby key e作者: ZEST 時間: 2025-3-29 23:38 作者: Offset 時間: 2025-3-30 02:23 作者: diathermy 時間: 2025-3-30 07:32
School Uniform Reforms in Modern Japano the real data sets and accelerate the innovation in the healthcare domain. Despite their promising capability, they are vulnerable to various privacy attacks that might reveal information of individuals from the training data. Preserving privacy while keeping the quality of the generated data stil作者: Pageant 時間: 2025-3-30 09:35 作者: misshapen 時間: 2025-3-30 13:25
https://doi.org/10.1007/978-3-031-09342-5artificial intelligence; communication systems; computer hardware; computer networks; computer science; c作者: quiet-sleep 時間: 2025-3-30 18:45
978-3-031-09341-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Isolate 時間: 2025-3-30 21:33
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162494.jpg作者: JOG 時間: 2025-3-31 01:28 作者: Generator 時間: 2025-3-31 08:46 作者: 仔細(xì)閱讀 時間: 2025-3-31 11:05 作者: 編輯才信任 時間: 2025-3-31 13:37
