11 results about "General screening" patented technology

The invention relates to the technical field of cognitive impairment noninvasive screening, and discloses a cognitive impairment noninvasive screening system and method.The system comprises a physiological sensing end, a feature collaboration end, an intelligent decision-making end and a visual report end, by arranging the physiological sensing end, 5-meter-distance non-contact detection is achieved, the feature collaboration end is connected with the intelligent decision-making end, and the visual report end is connected with the feature collaboration end; discomfort and signal interference caused by a traditional contact type electrode are avoided; the problem of asynchronous data fusion is solved by setting a feature collaboration end; according to the method, the dependence of traditional screening on contact equipment and professionals is broken through, high-precision and low-cost cognitive impairment general screening is realized, and the method is suitable for community medical treatment and family health monitoring scenes.

The invention belongs to the technical field of intelligent breeding and robots, and particularly relates to a pig house robot health monitoring and early warning system for a pig raising platform. The system aims to solve the problem of early warning lag caused by discontinuity of existing monitoring data. The system comprises a static sentinel node subsystem which is used for continuously collecting data at high frequency, generating an abnormal score and sending a triage request; the mobile diagnosis and service unit subsystem is used for performing autonomous diagnosis after receiving the request, acquiring individual accurate data and generating a report; and the central control and prediction subsystem is used for fusing data, constructing a space-time atlas model, predicting epidemic disease transmission and generating prospective early warning. By means of the system, 7 * 24-hour uninterrupted monitoring of swinery is achieved, data faults are solved, common screening-fine diagnosis cooperation is formed, a space-time diagram neural network is used for providing prospective early warning, and an epidemic disease prevention and control gateway is remarkably advanced.

The present application relates to the technical field of medical data processing, and particularly relates to a cervical disease two-stage dynamic risk prediction method based on multidimensional data, comprising the following steps: step S1, data acquisition and structuring: a plurality of dimensions of patient data are collected and structured by questionnaire, and a cervical disease database is constructed; step S2, first-stage model construction: for a general screening population, a first prediction model is constructed by using the questionnaire survey data collected in step S1; step S3, second-stage model construction: for a population with HPV positive or other suspicious indications obtained by the first prediction model, high-dimensional clinical data collected in step S1 are integrated, and a second prediction model is constructed by using an ensemble learning strategy; step S4, model series early warning output; and step S5, decision support generation. The present application integrates low-cost and easily-obtained multidimensional data, constructs a scientific risk stratification model, and realizes two-stage and continuous dynamic early warning.

The invention belongs to the technical field of medical data processing, and particularly relates to a model construction method for intelligently predicting insulin resistance through a lifestyle. The invention discloses a model construction method for intelligently predicting insulin resistance through a lifestyle. The method comprises the following steps: S1, collecting multi-dimensional lifestyle data of a patient; s2, carrying out preprocessing on the multi-dimensional life style data; s3, performing feature extraction and learning on the preprocessed data by using a deep learning algorithm, and identifying a dietary pattern by using factor analysis; s4, constructing an intelligent prediction model; and S5, evaluating the prediction performance of the model. By integrating multi-dimensional data, the disease features are captured from multiple angles to improve the prediction accuracy, invasive operation is not needed, the medical cost is reduced, and general screening of grassroots units is facilitated; meanwhile, the model is fused with the natural language processing capacity of deep learning, complex medical data can be processed more efficiently, and the efficiency and accuracy of the medical industry are remarkably improved.

A test strip for detecting Aβ in urine includes a polyvinyl chloride (PVC) bottom plate. The PVC bottom plate is laid with a sample pad, a conjugation pad, a chromatography pad, and an absorbent pad that are overlapped in sequence. The conjugation pad is coated with colloidal gold particles conjugated to a monoclonal antibody. The chromatography pad is provided with a test line on the side proximate to the conjugation pad, and is provided with a control line on the side proximate to the absorbent pad. The test line is coated with an Aβ-binding polymer. The control line is coated with a goat anti-mouse IgG polyclonal antibody. The method is suitable for the following: routine clinical pathological examination; general screening of a large number of people and self-screening of home end-users; assisting the early diagnosis and prejudgment of mild cognitive impairment (MCI) clinically.

The present invention discloses a method, system, device and medium for general screening and evaluation of mental health status, which relates to the field of mental health technology, including: based on the initial information of the user, a personalized psychological assessment questionnaire is customized through machine learning; based on the deep learning architecture combined with the convolutional neural network, an emotional cognitive neural network model is constructed to deeply analyze personal psychological data and form the analysis results of personal psychological and physiological indicators; combined with the evaluation feedback of the personalized psychological assessment questionnaire and the analysis results of personal psychological and physiological indicators, a comprehensive evaluation is performed through a random forest model to generate a personalized mental health status feedback report and improvement suggestions. The present invention uses dynamic questionnaires and multimodal data analysis, combined with deep learning and random forest models, to accurately evaluate mental health, generate a report containing customized improvement suggestions, and comprehensively improve the pertinence, accuracy and guidance of the evaluation.

This invention discloses an exosomal small non-coding RNA molecular marker and its application, belonging to the field of tumor liquid biopsy and molecular diagnostics. The exosomal small non-coding RNA molecular marker is tRNA-GlyGCC-5; the nucleotide sequence of tRNA-GlyGCC-5 is shown in SEQ ID NO:1. The sRESE in this invention is a novel small non-coding RNA sequence, which is the first discovery by the inventors and has significant implications for the study of esophageal cancer markers and disease progression mechanisms. The tumor diagnostic kit provided by this invention, including the exosomal small non-coding RNA molecular marker, is a non-invasive, highly sensitive, and highly specific liquid diagnostic monitoring kit suitable for general screening or general diagnosis.

Provided are a screening component processing method, device, equipment and storage medium. The method comprises: in response to an operation of triggering a search by a use object on a first page, displaying a first search page comprising a search box and a plurality of search type views; calling a business uniform interface layer by a search list display layer to obtain a pre-configured screening component list, the screening component list comprising screening components corresponding to at least one search type view in the plurality of search type views, the information of each screening component comprising the type of the screening component and the name of the screening component, the search list display layer being pre-defined with a view of at least one general screening component; traversing the screening component list; for a currently traversed screening component, matching the type of the screening component with the type of the pre-defined general screening component to obtain a target general screening component of the same type as the screening component; and mapping the screening component to the view of the target general screening component for display and interface interaction.

The utility model belongs to the field of rubber processing, and particularly relates to an easy-to-operate rubber processing screen replacing structure which comprises a screening device body, and a convenient-to-disassemble mechanism is arranged on the inner side of the screening device body; the screening device body, the convenient dismounting mechanism and the collecting mechanism are used in cooperation, when the filter screen needs to be replaced, the filter screen can be rapidly dismounted and replaced through the convenient dismounting mechanism without the help of a professional tool, impurities screened by the screening device body are collected through the collecting mechanism, and the screening device is convenient to use. According to the screening machine, impurities are prevented from being thrown out in the process of falling through a filter screen to pollute the working environment of workers, and the problems that a filter screen of a common screening machine is integrated with a filter disc, if the filter screen needs to be replaced, professionals need to disassemble the screening machine with professional tools and then replace a new filter screen are solved, and the method wastes time and labor and is inconvenient to operate. And the rubber processing efficiency is influenced.

The present invention relates to the field of biotechnology, in particular to the field of IPC G01N33, and more specifically to a method for detecting synthetic cannabinoids and a detection kit. The present application independently developed the hapten, complete antigen and antibody of the synthetic cannabinoid Natasha, and used colloidal gold to prepare a synthetic cannabinoid detection kit. The prepared kit is convenient for detection, fast in detection speed, high in sensitivity and specificity, and has a good effect on the general screening of Natasha-type drugs, making up for the gap in the market for the lack of relevant detection kits for drugs such as Natasha. The cannabinoid detection kit prepared by the present application can be used for the general screening of drugs such as Natasha, providing effective technical means for front-line case handlers and having a certain application market.

Systems, apparatus, and methods are provided for determining aberrations in a biological sample from an organism. Biological samples including cell-free DNA fragments are analyzed to identify imbalances in chromosomal regions, e.g., due to deletions and / or amplifications in a tumor. Multiple loci are used for each chromosomal region. Imbalances can be used to diagnose a patient for cancer, prognosticate a patient with cancer, or to detect the presence or monitor progress of a premalignant condition. The severity of an imbalance as well as the number of regions exhibiting an imbalance can be used. A systematic analysis of non-overlapping segments of a genome can provide a general screening tool for a sample. Additionally, a patient can be tested over time to track severity of each of one or more chromosomal regions and a number of chromosomal regions to enable screening and prognosticating, as well as monitoring of progress (e.g. after treatment).