Latest AI and machine learning research in medicare for healthcare professionals.
In view of the employment difficulties of college graduates, this paper analyzes the overflow of graduates in a particular period caused by the expansion of enrollment in various colleges and universities and the social phenomenon of social positions in short supply. First, the employment status of application-oriented college students and the deficiencies of employment guidance courses are summar...
In order to explore the construction and implementation effect of a procedural nursing system for laparoscopic surgery in general surgery based on deep learning, this article selects 150 cases of laparoscopic surgery patients admitted to our hospital from January 2020 to January 2021 for research. According to the time of enrollment, the control set and the study set were included in order, with 7...
Text classification is widely studied by researchers in the natural language processing field. However, real-world text data often follow a long-taile...
BACKGROUND AND OBJECTIVES: Selecting applications for college admission is critical for university operation and development. This paper leverages mac...
Biologically inspiredhave long been adapted to swarm robotic systems, including biased random walks, reaction to chemotactic cues and long-range coord...
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk...
Clinical trials represent a critical milestone of translational and clinical sciences. However, poor recruitment to clinical trials has been a long st...
As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and complex path detection ability. Fuzzy testing sample g...
The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum overlapping. The goal of the CPP algorithms is to min...
Fast and accurate assessment of small-molecule dihedral energetics is crucial for molecular design and optimization in medicinal chemistry. Yet, accur...
The current approach to using machine learning (ML) algorithms in healthcare is to either require clinician oversight for every use case or use their ...
In the real-world scenario, data often have a long-tailed distribution and training deep neural networks on such an imbalanced dataset has become a gr...
As costs decline and technology inevitably improves, current trends suggest that artificial intelligence (AI) and a variety of "carebots" will increas...
Phosphoproteomics integrating data-independent acquisition (DIA) enables deep phosphoproteome profiling with improved quantification reproducibility a...
Although numerous road segmentation studies have utilized vision data, obtaining robust classification is still challenging due to vision sensor noise...
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable ti...
IMPORTANCE: Detecting cognitive decline earlier among older adults can facilitate enrollment in clinical trials and early interventions. Clinical note...
Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentation of all events of clinical significance, includ...
Force-field development has undergone a revolution in the past decade with the proliferation of quantum chemistry based parametrizations and the intro...
Long-read sequencing enables variant detection in genomic regions that are considered difficult-to-map by short-read sequencing. To fully exploit the ...