找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Leveraging Data Science for Global Health; Leo Anthony Celi,Maimuna S. Majumder,Melek Somai Textbook‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applic

[復制鏈接]
樓主: Enkephalin
51#
發(fā)表于 2025-3-30 08:38:17 | 只看該作者
Textbook‘‘‘‘‘‘‘‘ 2020strophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient..
52#
發(fā)表于 2025-3-30 13:34:39 | 只看該作者
53#
發(fā)表于 2025-3-30 16:46:21 | 只看該作者
Biomedical Signal Processing: An ECG Applicationelet transform on multi-channel ECG signals from patients with arrhythmias. The information extracted is used to develop a high-performing heartbeat classifier that can distinguish between various types of regular and irregular beats.
54#
發(fā)表于 2025-3-31 00:26:35 | 只看該作者
55#
發(fā)表于 2025-3-31 01:13:22 | 只看該作者
An Introduction to Design Thinking and an Application to the Challenges of Frail, Older Adultsegies and solutions. This process generally leads to a more holistic and sustainable intervention, improving outcomes and adoption. This chapter provides a primer to design thinking, as well an introductory toolkit to begin applying the approach to your innovations.
56#
發(fā)表于 2025-3-31 08:34:42 | 只看該作者
57#
發(fā)表于 2025-3-31 12:39:02 | 只看該作者
Applied Statistical Learning in Pythonns in medicine. Thus, it is by no means a comprehensive guide on machine learning or Python. Rather, my hope is to present basic concepts in a simple, creative way, and demonstrate how they can be applied together.
58#
發(fā)表于 2025-3-31 14:42:36 | 只看該作者
59#
發(fā)表于 2025-3-31 19:51:20 | 只看該作者
sources.Focuses on combating disease and promoting health, .This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the applicati
60#
發(fā)表于 2025-3-31 21:43:36 | 只看該作者
Textbook‘‘‘‘‘‘‘‘ 2020rce-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healt
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 08:46
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
崇左市| 荃湾区| 靖边县| 海丰县| 申扎县| 泸西县| 额济纳旗| 株洲市| 齐河县| 建湖县| 望奎县| 连平县| 伊宁市| 屏山县| 阿瓦提县| 临海市| 深圳市| 漳州市| 如东县| 千阳县| 马龙县| 叶城县| 乌审旗| 赣州市| 盖州市| 信丰县| 韶山市| 南城县| 安陆市| 吴堡县| 成都市| 招远市| 微山县| 明光市| 汝阳县| 商都县| 南京市| 河东区| 河源市| 宁蒗| 成都市|