![](images/graphics/blank.gif)
Automated machine learning
-
In this paper, the author proposed a supervised machine learning network to identify and classify different crack types in asphalt-surface pavements. A laser camera captured surface images from pavement surface then classified them into 3 classes following the manual of pavement distress identification by the Federal Highways Administration (FHWA).
8p
viohoyo
25-04-2024
3
1
Download
-
Digitization has become the dominant theme in discussions about the future of supply chains. Wherever there is a problem, there is the promise of a technological solution, using some combination of artificial intelligence or machine learning, big data, automation, and the Internet of Things. The article actualizes the problems of the impact of digitalization of supply chain on the formation and transformation of human capital and, above all, the formation of new competencies, knowledge and skills.
9p
longtimenosee04
06-03-2024
5
2
Download
-
Rapidly and efficiently identifying critically ill infants for whole genome sequencing (WGS) is a costly and challenging task currently performed by scarce, highly trained experts and is a major bottleneck for application of WGS in the NICU. There is a dire need for automated means to prioritize patients for WGS.
9p
vicwell
29-02-2024
6
1
Download
-
Part 1 of ebook "Automated machine learning: Methods, systems, challenges" provides readers with contents including: AutoML methods; hyperparameter optimization; meta-learning; neural architecture search; blackbox hyperparameter optimization; multi-fidelity optimization; open problems and future research directions; performance estimation strategy;...
87p
tieulangtran
28-09-2023
6
2
Download
-
Continued part 1, part 2 of ebook "Automated machine learning: Methods, systems, challenges" provides readers with contents including: AutoML systems; AutoML challenges; automatic model selection and hyperparameter optimization in WEKA; efficient and robust automated machinelearning; a tree-based pipeline optimization toolfor automating machine learning; the automatic statistician;...
136p
tieulangtran
28-09-2023
1
1
Download
-
In Vietnam general education curriculum 2018, a learning model called STEM education is being interested in and encouraged in teaching and learning. Choosing a STEM topic will engage students to explore knowledge. The topics which selected need to be linked to reality and have a direct impact on human life. In the era of industry 4.0, besides data science, machine learning, artificial intelligence, etc., the role of automation is indispensable.
14p
viberkshire
09-08-2023
7
4
Download
-
Inductive machine learning, and in particular extraction of association rules from data, has been successfully used in multiple application domains, such as market basket analysis, disease prognosis, fraud detection, and protein sequencing. T
7p
visteverogers
24-06-2023
6
2
Download
-
To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specific populations such as persons living with HIV or pregnant women.
7p
visteverogers
24-06-2023
6
2
Download
-
As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal relationships to the suspect medications. We combined text mining with machine learning to construct and evaluate such a system to identify medication-related adverse event reports.
8p
visteverogers
24-06-2023
4
3
Download
-
Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might solve this issue by reusing input representation schemes trained on a larger dataset.
8p
visteverogers
24-06-2023
6
2
Download
-
Accurate and efficient identification of complex chronic conditions in the electronic health record (EHR) is an important but challenging task that has historically relied on tedious clinician review and oversimplification of the disease.
5p
visteverogers
24-06-2023
3
2
Download
-
Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification reliability.
7p
visteverogers
24-06-2023
3
2
Download
-
T Objective: Standards such as the Logical Observation Identifiers Names and Codes (LOINCVR ) are critical for interoperability and integrating data into common data models, but are inconsistently used. Without consistent mapping to standards, clinical data cannot be harmonized, shared, or interpreted in a meaningful context.
9p
visteverogers
24-06-2023
4
1
Download
-
Incorrect imaging protocol selection can lead to important clinical findings being missed, contributing to both wasted health care resources and patient harm. We present a machine learning method for analyzing the unstructured text of clinical indications and patient demographics from magnetic resonance imaging (MRI) orders to automatically protocol MRI procedures at the sequence level.
4p
visteverogers
24-06-2023
3
2
Download
-
The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.
8p
vighostrider
25-05-2023
5
2
Download
-
To assess usability and usefulness of a machine learning-based order recommender system applied to simulated clinical cases. Materials and Methods: 43 physicians entered orders for 5 simulated clinical cases using a clinical order entry interface with or without access to a previously developed automated order recommender system.
10p
vighostrider
25-05-2023
5
2
Download
-
Substance use screening in adolescence is unstandardized and often documented in clinical notes, rather than in structured electronic health records (EHRs). The objective of this study was to integrate logic rules with state-of-the-art natural language processing (NLP) and machine learning technologies to detect substance use information from both structured and unstructured EHR data.
12p
vighostrider
25-05-2023
7
3
Download
-
For the UK Biobank, standardized phenotype codes are associated with patients who have been hospitalized but are missing for many patients who have been treated exclusively in an outpatient setting. We describe a method for phenotype recognition that imputes phenotype codes for all UK Biobank participants.
11p
vighostrider
25-05-2023
3
3
Download
-
To develop novel, scalable, and valid literacy profiles for identifying limited health literacy patients by harnessing natural language processing. Since health literacy is a potentially remediable explanatory factor in health care disparities, the development of automated health literacy indicators represents a significant accomplishment with broad clinical and population health applications.
13p
vigamora
25-05-2023
6
2
Download
-
Bài viết "Tăng tốc việc phân tích chuỗi thời gian với phương pháp máy học tự động hóa" giới thiệu các công cụ của phương pháp máy học tự động cung cấp các lợi thế quan trọng so với các công cụ phân tích truyền thống như tính đơn giản, nhanh & khả năng diễn giải kết quả thu được. Mời các bạn cùng tham khảo!
12p
lieuyeuyeu18
23-12-2022
13
3
Download
CHỦ ĐỀ BẠN MUỐN TÌM
![](images/graphics/blank.gif)