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Deep learning may help doctors choose better lung cancer treatments

Deep learning may help doctors choose better lung cancer treatments
Deep learning, a powerful machine learning model, could guide doctors and healthcare workers in weighing treatment and care options, according to a team of Great Valley researchers.
Image: Wikimedia
Deep learning may help doctors choose better lung cancer treatments
Matt Swayne
February 16, 2021
MALVERN, Pa. Doctors and healthcare workers may one day use a machine learning model, called deep learning, to guide their treatment decisions for lung cancer patients, according to a team of Penn State Great Valley researchers.
In a study, the researchers report that they developed a deep learning model that, in certain conditions, was more than 71% accurate in predicting survival expectancy of lung cancer patients, significantly better than traditional machine learning models that the team tested. The other machine learning models the team tested had about a 61% accuracy rate. ....

United States , Youakim Badr , Robing Qiu , Shreyesh Doppalapudi , Institute For Computational , International Journal Of Medical Informatics , Data Sciences , Penn State Great Valley , International Journal , End Results , ஒன்றுபட்டது மாநிலங்களில் , நிறுவனம் க்கு கணக்கீட்டு , சர்வதேச இதழ் ஆஃப் மருத்துவ தகவல் , தகவல்கள் அறிவியல் , பென் நிலை நன்று பள்ளத்தாக்கு , சர்வதேச இதழ் , முடிவு முடிவுகள் ,

Deaths in family can shape kids' educational attainment in unexpected ways

Deaths in family can shape kids' educational attainment in unexpected ways
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

United States , Jonathan Daw , Ashton Verdery , Sarahe Patterson , Human Development , Population Research Institute , National Death Index , National Institutes Of Health , Population Studies Center , National Science Foundation , University Of Michigan , Humanities Research Council , Canadian Institute Of Health Research , Institute For Computational , Data Sciences , Panel Study Of Income Dynamics , Penn State , Panel Study , Income Dynamics , Identification Mapping System , National Institutes , Eunice Kennedy Shriver National Institute , Child Health , Family Demography Traineeship , Canadian Institute , Health Research ,

Machine learning algorithm may be the key to timely, inexpensive cyber-defense

Zero-day attacks can overwhelm traditional defenses, costing organizations money and resources
A machine learning algorithm may give organizations a powerful and cost-effective tool for defending against attacks on vulnerable computer networks and cyber-infrastructure, often called zero-day attacks, according to researchers.
Image: Pixahive
Machine learning algorithm may be the key to timely, inexpensive cyber-defense
Matt Swayne
February 03, 2021
UNIVERSITY PARK, Pa. Attacks on vulnerable computer networks and cyber-infrastructure often called zero-day attacks can quickly overwhelm traditional defenses, resulting in billions of dollars of damage and requiring weeks of manual patching work to shore up the systems after the intrusion.
Now, a Penn State-led team of researchers used a machine learning approach, based on a technique known as reinforcement learning, to create an adaptive cyber defense against these attacks. ....

United States , Jun Xu , Minghui Zhu , Raymondg Tronzo , Peng Liu , Department Of Defense Multidisciplinary University Research Initiative , College Of Information Sciences , Institute For Computational , Data Sciences , Stevens Institute Of Technology , Penn State Led , Information Sciences , Baidu Security , Silicon Valley , Stevens Institute , Ping Chen , ஒன்றுபட்டது மாநிலங்களில் , ஜூன் ஐயூ , பெங் லியூ , துறை ஆஃப் பாதுகாப்பு பலதரப்பட்ட பல்கலைக்கழகம் ஆராய்ச்சி முயற்சி , கல்லூரி ஆஃப் தகவல் அறிவியல் , நிறுவனம் க்கு கணக்கீட்டு , தகவல்கள் அறிவியல் , ஸ்டீவன்ஸ் நிறுவனம் ஆஃப் தொழில்நுட்பம் , பென் நிலை வழிநடத்தியது , தகவல் அறிவியல் ,

Machine learning model may guide treatment decisions for lung cancer patients

Machine learning model may guide treatment decisions for lung cancer patients
Doctors and healthcare workers may one day use a machine learning model, called deep learning, to guide their treatment decisions for lung cancer patients, according to a team of Penn State Great Valley researchers.
In a study, the researchers report that they developed a deep learning model that, in certain conditions, was more than 71% accurate in predicting survival expectancy of lung cancer patients, significantly better than traditional machine learning models that the team tested. The other machine learning models the team tested had about a 61% accuracy rate.
Information on a patient s survival expectancy could help guide doctors and caregivers in making better decisions on using medicines, allocating resources and determining the intensity of care for patients, according to Youakim Badr, associate professor of data analytics. ....

United States , Youakim Badr , Robing Qiu , Shreyesh Doppalapudi , Emily Henderson , Institute For Computational , International Journal Of Medical Informatics , Data Sciences , Penn State Great Valley , International Journal , End Results , Deep Learning , Lung Cancer , Health Care , Machine Learning , ஒன்றுபட்டது மாநிலங்களில் , எமிலி ஹென்டர்சன் , நிறுவனம் க்கு கணக்கீட்டு , சர்வதேச இதழ் ஆஃப் மருத்துவ தகவல் , தகவல்கள் அறிவியல் , பென் நிலை நன்று பள்ளத்தாக்கு , சர்வதேச இதழ் , முடிவு முடிவுகள் , ஆழமான கற்றல் , நுரையீரல் புற்றுநோய் , ஆரோக்கியம் பராமரிப்பு ,

Deep learning may help doctors choose better lung cancer treatments

Deep learning may help doctors choose better lung cancer treatments
eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.

United States , Youakim Badr , Robing Qiu , Shreyesh Doppalapudi , Institute For Computational , International Journal Of Medical Informatics , Data Sciences , Penn State Great Valley , International Journal , End Results , ஒன்றுபட்டது மாநிலங்களில் , நிறுவனம் க்கு கணக்கீட்டு , சர்வதேச இதழ் ஆஃப் மருத்துவ தகவல் , தகவல்கள் அறிவியல் , பென் நிலை நன்று பள்ளத்தாக்கு , சர்வதேச இதழ் , முடிவு முடிவுகள் ,