Course 2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course 1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Course 5521
Course Introduction:(Consult WeChat: phpcn01) The comprehensive practical course aims to consolidate the learning results of the first two stages, achieve flexible application of front-end and PHP core knowledge points, complete your own projects through practical training, and provide guidance on online implementation. Comprehensive practical key practical courses include: social e-commerce system backend development, product management, payment/order management, customer management, distribution/coupon system design, the entire WeChat/Alipay payment process, Alibaba Cloud/Pagoda operation and maintenance, and project online operation. .....
Course 5172
Course Introduction:(Consult WeChat: phpcn01) Starting from scratch, you can solve conventional business logic, operate MySQL with PHP to add, delete, modify, and query, display dynamic website data, master the MVC framework, master the basics of the ThinkPHP6 framework, and learn and flexibly master all knowledge involved in PHP development. point.
Course 8713
Course Introduction:(Consult WeChat: phpcn01) The learning objectives of the front-end development part of the 22nd issue of PHP Chinese website: 1. HTML5/CSS3; 2. JavaScript/ES6; 3. Node basics; 4. Vue3 basics and advanced; 5. Mobile mall/ Website background homepage layout; 6. Automatic calculation of tabs/carousels/shopping carts...
Artificial Intelligence - python machine learning medical data how to learn
2017-06-12 09:25:45 0 1 770
From a doctor's perspective, what is the healthiest color scheme for vim?
2017-05-16 16:37:00 0 6 605
长时间的变成,看文档,眼睛很容易疲劳。为了自身健康,你们如何保护自己的眼睛,可以从学习方式、工作习惯、以及编程工具方面说说。
2017-04-18 10:45:42 0 4 590
我只知道做医疗类的网站多,织梦CMS能不能做淘宝电商类的网站啊?
2017-04-11 09:06:30 0 5 323
给定一个输入框,一个搜索点击按钮,当输入框获得焦点时提示用户最近搜索内容,如何实现,有哪些方法。从哪些方面测试以保障其健壮性。
2017-04-10 17:20:55 0 7 301
Course Introduction:The continuous increase in the elderly population implies the need to improve the medical and health system to meet the vital health needs of the elderly. Given that old age is synonymous with many ailments and problems that may require immediate help, effective and accessible healthcare solutions have become a necessity. Telemedicine bridges the gap between healthcare and senior citizens, becoming an effective solution to provide healthcare services conveniently. Telemedicine provides early detection through remote monitoring, sparing seniors the inconvenience of traveling to another location to seek help. As a result, this enables them to better manage their physical and mental health conditions and improve their quality of life. Telemedicine: Improving Healthcare Access for Seniors Enhanced Access to Healthcare: Telemedicine minimizes barriers to accessing healthcare, empowering seniors
2023-12-20 comment 0 289
Course Introduction:In healthcare, artificial intelligence (AI) and machine learning (ML) are gradually bringing significant advancements in patient care, diagnosis, and treatment. These cutting-edge technologies have revolutionized the healthcare industry, improving accuracy, efficiency and personalized care. Early disease detection, precision medicine, advances in medical imaging, virtual health assistants and drug discovery are examples of how these technologies are reshaping the practice of healthcare. As artificial intelligence and machine learning develop, the industry will experience further transformative advances, empowering healthcare professionals and benefiting patients around the world. By adopting these technologies responsibly and ethically, healthcare providers and patients will work together to unlock the full potential of artificial intelligence and machine learning and shape the future of healthcare. global pandemic
2023-11-13 comment 0 260
Course Introduction:Between the COVID-19 pandemic, the mental health crisis, rising healthcare costs and an aging population, industry leaders are scrambling to develop artificial intelligence (AI) applications for healthcare. One sign from the venture capital market is that more than 40 startups have raised $20 million or more to build artificial intelligence solutions for industries. But how is AI actually being used in healthcare? The 2022 Healthcare AI Survey surveyed more than 300 respondents from around the world to better understand the challenges, achievements, and challenges that define healthcare AI. Example. This is the second time the survey has been conducted, and the results do not change significantly, but they do point to some interesting trends that bode well for medical
2023-04-11 comment 0 911
Course Introduction:Andrew Brosnan, principal analyst at research firm Omdia, predicts that although the healthcare industry is initially slow to embrace AI, healthcare and pharmaceutical companies will rapidly increase their adoption of AI in the next few years, and medical image analysis and drug discovery will is the most popular use case. Healthcare spending on AI software is expected to grow 40% in 2023, from $4.4 billion in 2022 to nearly $6.2 billion in the new year, according to Omdia forecasts. "Healthcare will grow faster than most other industries, and according to our forecasts, we expect healthcare to rank second behind consumers in AI spending in 2027," says Omdia's Artificial Intelligence and Intelligent Automation Practice
2023-04-29 comment 0 1176
Course Introduction:In the grand scheme of the business of healthcare, predictive models play a role no different than a blood test, X-ray, or MRI: they influence decisions about whether an intervention is appropriate. “Broadly speaking, models perform mathematical operations and produce probability estimates that help doctors and patients decide whether to take action,” said Nigam Shah, chief data scientist at Stanford Healthcare and faculty member at Stanford HAI. But these probability estimates are only useful to health care providers if they trigger more beneficial decisions. "As a community, I think we are obsessed with the performance of the model, rather than asking, does this model work?" Shah said. “We need to think outside the box.” Shah’s team is one of the few hospitals that evaluates
2023-04-11 comment 0 643