投稿時間:2022-04-20 15:32:01 RSSフィード2022-04-20 15:00 分まとめ(39件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
IT	気になる、記になる…	NUROモバイル、｢LINE｣の通信量がカウントフリーになる｢バリューデータフリー｣を発表	https://taisy0.com/2022/04/20/156011.html	通信	2022-04-20 05:19:17
ROBOT	ロボスタ	AR技術で胸腔ドレナージの安全性を向上 順天堂大学がクラウドファンディングを実施 VR Japanがシステム開発を担当	https://robotstart.info/2022/04/20/ar-chest-tube-drainage.html		2022-04-20 05:09:48
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 広島電鉄の車両シートを内装に！　キャンピングカー「プラスMR5100」を発売	https://www.itmedia.co.jp/business/articles/2204/20/news123.html	itmedia	2022-04-20 14:24:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 新フォーマット「ジョイホン」が誕生　小山駅前店の特徴は？	https://www.itmedia.co.jp/business/articles/2204/20/news122.html	itmedia	2022-04-20 14:22:00
IT	ITmedia 総合記事一覧	[ITmedia News] SaaS導入時の悩みを無料相談できる“質問箱”　マネフォのグループ企業が提供	https://www.itmedia.co.jp/news/articles/2204/20/news128.html	boxilsaas	2022-04-20 14:20:00
IT	ITmedia 総合記事一覧	[ITmedia News] アイマスのシリーズ横断ゲーム「ポップリンクス」7月終了　ユーザーからは「後回しになっていた」の声も	https://www.itmedia.co.jp/news/articles/2204/20/news124.html	itmedia	2022-04-20 14:05:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] JEITAが2021年度の国内PC出荷実績データを公表　出荷台数は前年比59.3％に下落	https://www.itmedia.co.jp/pcuser/articles/2204/20/news127.html	itmediapcuserjeita	2022-04-20 14:04:00
python	Pythonタグが付けられた新着投稿 - Qiita	python get Object variables	https://qiita.com/aizwellenstan/items/b6fbda6928386175b12a	ticker	2022-04-20 14:04:35
js	JavaScriptタグが付けられた新着投稿 - Qiita	【８日目】メモ帳アプリの作成 [supabaseを活用]	https://qiita.com/ri6616/items/3a6b7e5f73dd15946ecc	ethepenmemobymizmizsanmiz	2022-04-20 14:50:54
js	JavaScriptタグが付けられた新着投稿 - Qiita	JavaScritptの非同期処理の流れを図に整理してみた。	https://qiita.com/yuusannnnnnnnn/items/b2a5e99aeff515f5da33	aysncawait	2022-04-20 14:44:48
js	JavaScriptタグが付けられた新着投稿 - Qiita	【初心者】TypeScriptとはなんぞや？	https://qiita.com/programming_owl/items/6d9387193a60e7a4fa5b	react	2022-04-20 14:22:00
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Ruby Arrayオブジェクト 配列の基礎知識	https://qiita.com/taddy_korokoro/items/e024e0e8d048eb853763	arrarrpush	2022-04-20 14:07:45
技術ブログ	Developers.IO	Aurora MySQLとAurora PostgreSQLの機能を比較してみた(2022年4月版)	https://dev.classmethod.jp/articles/comparison-of-aurora-mysql-postgresql-2022-04/	ashissan	2022-04-20 05:10:47
海外TECH	DEV Community	Top Mistakes To Avoid While Using React Native	https://dev.to/sdpl21/top-mistakes-to-avoid-while-using-react-native-3fl1	Top Mistakes To Avoid While Using React NativeNot performing unit testsAnother typical error that Reacts Native developers makes while creating react native apps is failing to complete unit testing Most developers overlook this step since they are accustomed to working without written unit tests Moving on in the development process without a unit test in place on the other hand might be a hazardous move Addressing faults and difficulties at the last minute or after the product has been released can be a difficult undertaking When a product with flaws is made available to the public it produces a poor impression of both the product and the brand The easiest method to avoid it is to test its functioning and guarantee that all components are fully functional before releasing the product Unit testing is highly useful in this situation Unit tests enable developers to test individual units or components of an application to ensure that they are performing as planned This is done during the development stage code phase to assist developers to save time and money in the long run Inside the render function change the stateData contains all of the information about the component that will be displayed on the state It retrieves information from the store and shows it on the screen React offers a method called set state that accepts the new object state and compares it to the previous state After that add the new state to the old state and circulate the data This cycle will last a lifetime When you directly alter the state the life cycle is disrupted and all prior states may be corrupted The appliance may occasionally behave improperly or crash When this happens you ll lose track of all states and may end yourself writing bespoke code instead of React As a result these solutions are possible if you directly alter the state To avoid this disaster you ll construct a child component for the function s content and send it down as a prop By implementing the render function we can make the value mutable Abstraction Layer ConstraintsTo provide the finest functionality you must add an abstraction layer to the React Native framework which you may do in the local stage This layer in and of itself brings with it several recurring concerns and you must take precautions to avoid themIdentifying the bugs you face in the abstraction layer When you have bugs it might lead to a slew of problems Reliance on third party libraries and services is high Reliance on the execution of bespoke designsReact Native App Development CompanyYou read that heading right Stellar Digital operates as a React Native App Development Company with a team of highly qualified developers that are experts in their field They can guarantee that their React Native development services will provide your company the boost and reach it needs As a result stop waiting and start building your React Native application with Stellar s experts	2022-04-20 05:18:40
海外TECH	DEV Community	Which articles are you missing?	https://dev.to/dailydevtips1/which-articles-are-you-missing-564m	Which articles are you missing I m writing this article especially for you The loyal reader the person who is planning to grow by learning The person who is a close replica of how I learn and grow What kind of articles are you missing I d love to get some insights into what could help you become even better Ideas and suggestionsSo far I have a couple of topics with various audiences CSS fun things Much like the CSS logos series JavaScript functions explaining one specific functionProjects that we build from start to finishOfftopic chatsDeeper specific topicsYou might favor one of these approaches or something completely different like react articles I hope to receive your opinion on which articles and what kind of article type works best for you How to provide this feedbackYou can either send me a message on Twitter public or DM or respond to my email info daily dev tips com Let me know what has been the best help topic article so far for you in a couple of words And let s work together on making you become x better than that Thank you for reading and let s connect Thank you for reading my blog Feel free to subscribe to my email newsletter and connect on Facebook or Twitter	2022-04-20 05:15:32
海外TECH	DEV Community	Machine learning in healthcare got popular	https://dev.to/adamodigitalco/machine-learning-in-healthcare-got-popular-nmb	Machine learning in healthcare got popularMachine learning in healthcare has emerged in recent years The use of machine learning in healthcare helps to analyze complex medical data in the treatment process From its undoubted reception as a buzzword to multiple applications in healthcare machine learning has emerged We go through core concepts challenges and uses of machine learning in various aspects especially healthcare Machine learning in healthcare is a study of computer science for automation through past experiences Machine learning is a subset of AI developing computer systems to perform tasks that require humans Machine learning in healthcare plays an important role in healthcare such as bioinformatics gene detection for cancer etc This article provides the basis of machine learning in healthcare such as definition benefits applications and trends Healthcare software development also promotes the adoption of machine learning in healthcare So what defines what makes machine learning in healthcare popular in recent years Machine learning in healthcare A brief introduction What is machine learning in healthcare Before going to the definition of machine learning we take a look at the Artificial Intelligence concept AI refers to any technique that makes computers imitate human behaviors to solve problems A subset of AI machine learning uses statistics to recognize patterns by learning and improving through experiences on previous data Computers gather data and statistics and then learn from that data by developing algorithms Machine learning in healthcare helps patients and clinicians in many approaches The most common machine learning applications in healthcare are automating medical billing clinical decision and clinical care guidelines Researchers have developed the first machine learning algorithm to predict toxicities in patients in their radiation cancer therapy for head and neck Besides machine learning in healthcare of Google helps to detect breast cancer with of accuracy Machine learning in healthcare has also promoted the introduction of medical software development in treatment Types of machine learning in the medical fieldMachine learning develops foundational models to address problems through data and statistics This method has boosted the learning process and provided accurate results In particular types of machine learning in the medical field are supervised unsupervised semi supervised and reinforcement learning Supervised learning Supervised learning involves training the model based on labeled data Then supervised learning allows this model to make predictions for a new set of data It will classify data into training and testing Unsupervised learning It involves training data with an unlabeled value or target value Machine learning will cluster the type of data by defining the hidden data patterns This unsupervised learning tries to discover the data patterns Semi supervised learning a blend of supervised learning and unsupervised learning It takes both labeled and unlabeled data This semi supervised learning detects outliers Reinforcement learning This type of machine learning develops a system which improves business performance by collecting feedback It is an interactive process that means learning from the environment with any help from humans As the healthcare market has emerged there is health information So doctors can not process without any help from machines So machine learning in healthcare gives techniques to recognize data patterns and uses algorithms to predict possible outcomes Besides different types of healthcare data have come in the healthcare sector such as clinical sensor omics data etc Healthcare software development also helps to identify patterns of data and predicts results of people s health Many distinctive methods extract relevant information and then different algorithms give a better prediction Here are some healthcare data that people put in machine learning in healthcare for analyzing Clinical data people collect clinical data during patient treatment such as laboratory tests radiology images allergies etc For example a report by Weng et al cited by iomcworld org used machine learning in healthcare algorithms such as random forest logistic regression neural networks Sensor data is an ordered sequence of pairs such as time series signals This data can be simple numerical categorical data or even more complex processed by computing devices Moreover it can be wearable sensor data collected from arms hands and thighs or even wireless sensors using mobile apps Omics data is a collection of complex and high dimensional data such as genomics transcriptomic and proteomics Handling this data requires various techniques in machine learning in healthcare algorithms So many healthcare software development services join hands to develop medical software to solve complicated cases Machine learning and healthcare Benefits amp How to use Use of machine learning in healthcareThe fundamental goal of machine learning in healthcare is to support doctors works by providing better service and care Take a look at some examples of the use of machine learning in healthcare Use of machine learning in healthcare in personal treatmentOne of the cases of machine learning in healthcare is customized treatment People use personal data and analysis techniques to improve personalized healthcare services Machine learning algorithms develop personalized treatment systems based on patients statistics and symptoms By combining clinical socioeconomic and pharmaceutical data with ML algorithms doctors observe the effectiveness of personal treatment Additionally healthcare software development services can also develop custom apps to manage medical treatment for individuals Machine learning and healthcare service managementAs stated in pharmaceutical research machine learning in healthcare thrives in many areas of operations and management Nevertheless the treatment journey within hospital zones creates administrative tasks and departments for patients So these processes will impact doctors nurses and patients It is a complicated journey and leads to high costs for hospital operators Medical software development services introduce healthcare apps that help to automate administrative tasks to simplify treatment journeys The adoption of machine learning in healthcare journeys improves care supports medical staff in their medical studies and optimizes costs Providing virtual assistants for patientsVirtual assistants are a healthcare technology solution through chatbots or even dedicated applications In particular machine learning in healthcare has recently emerged to support patients during their treatment journeys For example virtual nurses are available to answer questions or requests immediately and provide advice or directions This virtual assistant can record interactions and disease information so doctors use them in the treatment process for patients Furthermore virtual assistants can generate significant savings for hospitals by reducing stresses related to medical care The adoption of healthcare software development can remind patients if they have medical checks for each month Innovative developments of new drugsThe use of machine learning in healthcare at the early stage of drug discovery has potential for various services Machine learning in healthcare can help to develop new drugs from initial screening to the expected success rate It also helps to predict the effectiveness and safety of new drugs Machine learning in healthcare is beneficial for drug development since each compound has a specific purpose It will limit the drug development to a small number of compounds DiagnosesThe use of machine learning in healthcare is essential for doctors to provide diagnoses for patients during their treatment Machine learning in healthcare can help to save time and optimize correct diagnosis through healthcare software development services Furthermore it opens more perspectives in the prediction of possible diseases Heart disease diagnosis people are using machine learning in healthcare to diagnose heart disease Heart disease diagnosis is a topic of much research globally Thus the automated heart disease diagnostic program is one of the human achievements in the st century Liver disease The use of machine learning in healthcare helps to predict liver disease Predicting liver disease is a challenging task since many possible diseases can affect the liver Besides it requires a large amount of data on liver disease Cancer detection Machine learning in healthcare can detect different types of cancer thanks to the adoption of AI Scientists have upgraded the algorithms which observe and detect different forms of cancer Diabetes Diabetes damages many body parts such as the heart kidneys and nervous system ML in healthcare will identify markets of diabetes at the early stage to save patients lives Healthcare staff can use algorithms of machine learning in healthcare to predict diabetes Benefits of machine learning in healthcareMedical imaging One of the largest benefits of machine learning in healthcareComputer visions are one of the most significant healthcare sectors owing to the technology in healthcare Many firms in the medical industry are combining cognitive computing and genomic tumor sequencing to introduce healthcare software development It will help to give precision medicines Executing machine learning in healthcare will define diabetic retinopathy and macular edema in the photographs Thus improving medical imaging is one of the best benefits of machine learning in healthcare that you might know Robotic surgery Recently robotic surgery has gained massive popularity Machine learning in healthcare technology uses robots for surgical processes in healthcare Replacing human surgeons with robotics brings tremendous benefits such as operations in small spaces radically increasing the chances of human based problems such as shaking hands Machine learning in healthcare particularly robotic surgery focuses on machine vision Besides it can evaluate distances to a higher degree of accuracy and identify specific body parts or even organs within a body Generating electronic healthcare records There is a series of patient data during their treatment processes Hospital operators in the healthcare industry should record healthcare data from patients Thus machine learning applications in healthcare will develop electronic smart records for the treatment processes It will keep medical records health conditions and even suggest treatment plans if required through healthcare software development services Machine learning applications in healthcare Chatbot An example of machine learning in healthcareA chatbot is a computer system that allows humans to use natural human languages to interact with people Some examples of chatbots are AliMe DeepProbe RubyStar etc Healthcare software development also supports hospitals to introduce chatbots through mobile apps These chatbots can answer questions or requests from patients Initially people define targeted topics or conversations and then develop model conversations based on these topics A chatbot recognizes the user input via many forms and accesses the information to provide knowledge Patient care during and post their treatment journeysChatbots have the potential to improve medical communication between clinic patient and doctor patient It helps meet the high demand for healthcare services such as remote testing monitoring of medical check ups and telephone consultations The use of machine learning in healthcare can conduct health surveys set up personal medical reminders book appointments etc Additionally chatbots provide fast responses to questions while seeking specific symptoms in possible diseases through mobile apps Healthcare software development services can collect data in several ways such as text based services mobile applications A study shows the effectiveness of healthcare software iDecide bot on predicting cancer This healthcare software provides cancer knowledge which helps to reduce anxiety and depression after using iDecide bot Machine learning applications in healthcare Radiology and RadiotherapyPeople use machine learning in healthcare to automatically classify patient data These data can be behaviors demographics decisions emotions clinical factors etc A recent study shows that of people are looking for medical related information via online channels Online support groups give them a comfortable space to get advice express emotions and share information through mobile apps Radiology educational posts on several social media sites are also beneficial For instance OnBot uses suitable mapping techniques to transform information and knowledge into a database and then utilize the data to run a chatbot Machine learning in healthcare can take advantage of the big data cloud A mobile healthcare app calculates the monitor unit and even provides the treatment dose or daily dose Telehealth is a kind of service administered through telecommunications or technology in healthcare It allows remote bidirectional communication such as visual and audio interaction with users For example patients with cancer follow telephone communications in prostate brain colorectal and bladder cancer Education and knowledge transferring systemsTo provide practical healthcare workforces interprofessional education through mobile apps is essential It allows more than one professor to learn from others or each other which increases collaboration and promotes healthcare service quality Moreover people can use high qualified healthcare information from the online discussion for conducting a chatbot The chatbots present high potential in far distance education and even act as undergraduate advisors The use of machine learning in healthcare can reduce costs dramatically and make treatment sessions more engaging to experienced doctors Quick responses especially during a covid outbreakIn emergencies a few minutes can save one s life So quicker healthcare and accessibility can save more lives Machine learning in healthcare can distribute medical supplies on site in many emergency cases People can apply this system in urban semi urban and remote areas ML in healthcare allows hospitals to provide specialized treatments despite the absence of medical staff The covid outbreak affects the cardiovascular system of patients So it requires fast and specific tools to identify the symptoms early Many countries are over stretching their healthcare sources to prevent the pandemic spread Artificial Intelligence helps to monitor and control the pandemic in some areas It also helps to detect the disease at the early stage through healthcare software Moreover AI plays an important role in analyzing data to aid covid research Final thoughtsMachine learning in healthcare is a robust and powerful tool that can benefit the healthcare industry The use of machine learning in healthcare helps physicians and scientists to develop personalized therapies and improve the quality of people s life So what makes machine learning in healthcare so popular Machine learning is promising to develop advancements in the healthcare industry so extensive that we cannot imagine	2022-04-20 05:00:34
ニュース	ジェトロ ビジネスニュース（通商弘報）	隔離と検疫期間中の検査回数を削減	https://www.jetro.go.jp/biznews/2022/04/de77d5cbea774f3e.html	隔離	2022-04-20 05:40:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	英政府、インフレ対策として、鉄道の割引乗車券販売を発表	https://www.jetro.go.jp/biznews/2022/04/07e68b076d08ebdc.html	鉄道	2022-04-20 05:25:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	華東地域の物流は一部改善ながら、現場レベルでは通行制限が続く	https://www.jetro.go.jp/biznews/2022/04/b0fb4a031a0fdb4a.html	通行	2022-04-20 05:20:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	バイデン米政権、インフラ計画におけるバイ・アメリカン規則を発表	https://www.jetro.go.jp/biznews/2022/04/b5ab0d1d846b4ee9.html	計画	2022-04-20 05:10:00
ニュース	BBC News - Home	'Rare condition gives me TV static in my vision'	https://www.bbc.co.uk/news/uk-scotland-glasgow-west-60696867?at_medium=RSS&at_campaign=KARANGA	lanarkshire	2022-04-20 05:17:01
ニュース	BBC News - Home	World Snooker Championship 2022: Judd Trump wants to 'refind' love for sport	https://www.bbc.co.uk/sport/snooker/61134893?at_medium=RSS&at_campaign=KARANGA	World Snooker Championship Judd Trump wants to x refind x love for sportA disgruntled Judd Trump says he wants to refind his love for snooker and criticises the sport for taking a backward step	2022-04-20 05:22:14
北海道	北海道新聞	＜Ｆノート＞日ハム担当記者が見た佐々木朗希「完全試合」未遂ゲーム	https://www.hokkaido-np.co.jp/article/671583/	史上最年少	2022-04-20 14:18:31
北海道	北海道新聞	マジョルカ久保建、５戦ぶり先発　スペイン１部、アラベス戦	https://www.hokkaido-np.co.jp/article/671669/	共同	2022-04-20 14:18:29
北海道	北海道新聞	米ネトフリ、会員２０万人減　１０年間で初のマイナス	https://www.hokkaido-np.co.jp/article/671674/	動画配信	2022-04-20 14:18:19
北海道	北海道新聞	「勉強意欲わかない」５４％　小中高生、コロナで最高に	https://www.hokkaido-np.co.jp/article/671795/	中高校生	2022-04-20 14:16:00
北海道	北海道新聞	低所得世帯子どもに５万円給付　物価高対策、来週決定	https://www.hokkaido-np.co.jp/article/671721/	緊急	2022-04-20 14:16:07
北海道	北海道新聞	ブチャ殺害疑惑の部隊に名誉称号　プーチン大統領「英雄的行為」	https://www.hokkaido-np.co.jp/article/671723/	名誉称号	2022-04-20 14:14:07
北海道	北海道新聞	ホームから男性突き落とす、大阪　殺人未遂疑い男逮捕	https://www.hokkaido-np.co.jp/article/671752/	大阪府和泉市	2022-04-20 14:04:02
北海道	北海道新聞	バレエ、小６原明日香さん最優秀　若手国際コンクール	https://www.hokkaido-np.co.jp/article/671770/	若手	2022-04-20 14:02:17
北海道	北海道新聞	静岡の放火殺人、山中で遺体発見　県警、関与の有無を捜査	https://www.hokkaido-np.co.jp/article/671771/	殺人事件	2022-04-20 14:02:10
ビジネス	プレジデントオンライン	｢監督の不祥事￫作品のお蔵入り｣はもうやめるべきだ…園子温監督の作品に出演した私が言いたいこと - 関係者すべてが救われない事態になってしまうだけ	https://president.jp/articles/-/56829	映画監督	2022-04-20 15:00:00
ビジネス	プレジデントオンライン	｢ほかの恒星系には宇宙人もいる｣じつは世界有数のレベルだった"江戸の宇宙論"を究めた3人の日本人 - 地動説の翻訳本をきっかけに､250年の遅れを取り戻した	https://president.jp/articles/-/56666	宇宙物理学	2022-04-20 15:00:00
IT	週刊アスキー	『原神』で★5「神里綾華（かみさとあやか）（氷）」（CV：早見沙織さん）が登場するイベント祈願を開催中！	https://weekly.ascii.jp/elem/000/004/089/4089729/	cognosphere	2022-04-20 14:55:00
IT	週刊アスキー	『レインボーシックス シージ』で3年ぶりの新マップ「エメラルドプレーンズ」が追加！	https://weekly.ascii.jp/elem/000/004/089/4089728/	年月日	2022-04-20 14:35:00
マーケティング	AdverTimes	「自分のことが分からない」「実は清純派に憧れていた」……女優の正体や、いかに （ゲスト：玉城ティナ）【前編】	https://www.advertimes.com/20220420/article382207/	玉城ティナ	2022-04-20 05:54:04
マーケティング	AdverTimes	若者向けノンアルのバーを渋谷に　アサヒと電通Dの合弁会社	https://www.advertimes.com/20220420/article382256/	合弁会社	2022-04-20 05:43:19
ニュース	THE BRIDGE	D2Cシューズブランドがトークン発行のワケ【フィナンシェ放送局 #２】	https://thebridge.jp/2022/04/shoes-d2c-brand-hermerry-launched-token-on-financie-financiepodcast	DCシューズブランドがトークン発行のワケ【フィナンシェ放送局】本稿はトークンを使ったクラウドファンディング「フィナンシェ」が配信するポッドキャスト「フィナンシェ放送局」の記事からの転載フィナンシェ放送局はトークンを使ったクラウドファンディング「フィナンシェ」で巻き起こる、ファンとプロジェクトの話題をお届けするポッドキャストです。	2022-04-20 05:45:24
ニュース	THE BRIDGE	はじめまして！フィナンシェ放送局です【フィナンシェ放送局 #１】	https://thebridge.jp/2022/04/financie-podcast-start-financiepodcast	はじめましてフィナンシェ放送局です【フィナンシェ放送局】本稿はトークンを使ったクラウドファンディング「フィナンシェ」が配信するポッドキャスト「フィナンシェ放送局」の記事からの転載フィナンシェ放送局はトークンを使ったクラウドファンディング「フィナンシェ」で巻き起こる、ファンとプロジェクトの話題をお届けするポッドキャストです。	2022-04-20 05:30:49