Jama Mining Machines AB, FE 4516, 831 90 Östersund. Rolf Schönfeldt. CEO / Sales +46 910-71 36 64. Eva Skinner. CMO / Head of Business Development / Sales +46 910-71 …

The SBU 8000 mechanical scaler is a popular machine that has been the market leader over large parts of the world for decades; Jama has now taken the next step in the …

Key Points. Question Can machine learning survival models predict which patients with intermediate-risk head and neck squamous cell carcinoma would benefit from adjuvant chemotherapy?. Findings In this cohort study of 33 526 patients, treatment according to 3 machine learning models, trained and validated using the National Cancer Database, …

Machine Learning and the Profession of Medicine. Machine Learning and the Profession of Medicine. Machine Learning and the Profession of Medicine JAMA. 2016 Feb 9;315(6):551-2. doi: 10.1001/jama.2015.18421. Authors Alison M Darcy 1, Alan K Louie 1, Laura Weiss Roberts 1 Affiliation 1 Department of ...

Jama Mining Machines AB grundades 1948 av gruvarbetaren Torbjörn Bask och har sedan dess blivit en ledande aktör inom gruvindustrin med stark lokal förankring. Företaget …

Jama offers a wide range of products focused on mining, tunneling, service and safety.

Machine learning (ML), a form of artificial intelligence using computer algorithms, is often applied in ways we take for granted: Spotify to predict music that people may enjoy, Facebook to suggest friends to tag in photos, and Amazon to identify products to buy.

Electronic health records (EHRs) are now ubiquitous in US medical care, in part owing to legislation that incentivized their adoption as a component of the 2009 American Recovery and Reinvestment Act. 1 These records have been associated with improved medical communication through increased legibility and rapid access to individual patient …

The eFigure in Supplement 1 provides a visual summary of the multistage machine learning pipeline. Consistent with contemporary machine learning practices, we divided our data into separate training, validation, and testing segments for rigorous assessment of model performance. Data from 2017 and earlier were used in model training.

The scaling machine's battery and driveline solution were developed in collaboration with Epiroc, and provide the same power as in the diesel-powered scaler, added Jama. A …

Importance: Postoperative chemoradiation is the standard of care for cancers with positive margins or extracapsular extension, but the benefit of chemotherapy is unclear for patients with other intermediate risk features. Objective: To evaluate whether machine learning models could identify patients with intermediate-risk head and neck squamous cell …

2019 Nov 12;322(18):1777-1779. doi: 10.1001/jama.2019.17304. Authors Finale Doshi-Velez 1, Roy H Perlis 2 Affiliations 1 Harvard University, Boston, Massachusetts. 2 Massachusetts General Hospital, Boston. PMID: 31714974 DOI: 10.1001 ... Machine Learning* Publications* ...

With the SBU 8000E, Jama launches the world's first battery-powered-scraping machine. It has exactly the same characteristic properties as the market-leader SBU 8000B: productivity, safety and ergonomics. What's more, it's taking the mining industry into a fossil-free future.

The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies. ... 2020 Oct 13;324(14):1397-1398. doi: 10.1001/jama.2020.9371. Authors Stephanie Eaneff 1 2, Ziad Obermeyer 3, Atul J Butte 2 4 Affiliations 1 Berkeley Institute for Data Science, University of California, Berkeley. 2 Bakar ...

Machine learning for prediction in electronic health data has been deployed for many clinical questions during the last decade. Machine learning methods may excel at finding new features or nonlinear relationships in the data, as well as handling settings with more predictor variables than observations.

Key Points. Question Can multitask machine learning be used to better understand open surgical technique?. Findings This study presented a multitask neural network for visual understanding of open surgeries and introduces a data set used to train the model. It illustrated the utility of the model to generate procedure-specific signatures and identify …

Machine manufacturer Jama Mining Machines is introducing the JMS 7000, a new medium-sized machine model for scaling rock in mines. The compact, state-of-the-art …

Importance: Traditional models for predicting in-hospital mortality for patients with heart failure (HF) have used logistic regression and do not account for social determinants of health (SDOH). Objective: To develop and validate novel machine learning (ML) models for HF mortality that incorporate SDOH. Design, setting, and participants: This retrospective …

Jama Mining Machines AB. Phone: +46 910-71 36 50 | E-mail: Visiting address: Sparrvägen 1, SE-932 33 Skelleftehamn, Sweden. Rolf Schönfeldt. CEO / Sales +46 …

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 JAMA. 2000;284(7):835-842. doi: ... Some machine learning models may, therefore, have greater clinical utility in higher-dimensional data where they can uncover complex relationships among variables 30-32 and of variables with outcomes but only provide limited gains in relatively low-dimension registry data. Furthermore, not all machine ...

Key Points. Question Does an intervention consisting of machine learning mortality predictions and behavioral nudges to oncology clinicians have an impact on serious illness conversations (SICs) and end-of-life outcomes among patients with cancer?. Findings In this randomized clinical trial that included 20 506 patients with cancer (for a total of 41 …

Jama Mining Machines AB. Phone: +46 910-71 36 50 | E-mail: Visiting address: Sparrvägen 1, SE-932 33 Skelleftehamn, Sweden. Rolf Schönfeldt. CEO / Sales +46 910-71 36 64. Eva Skinner. CMO / Head of Business Development / Sales +46 910-71 36 68. Anders Lundkvist. Purchasing Manager +46 910-71 36 52 ...

Importance Machine learning (ML) algorithms have the potential to identify eyes with early diabetic retinopathy (DR) at increased risk for disease progression.. Objective To create and validate automated ML models (autoML) for DR progression from ultra-widefield (UWF) retinal images.. Design, Setting and Participants Deidentified UWF images with mild or …

Key Points. Question Can a machine-leaning approach improve the accuracy of predicting the risk for readmission at 30 days in hospitalized patients with heart failure?. Findings In this registry-based modelling study, the accuracy and discrimination of 3 machine-learning approaches (least absolute shrinkage and selection operator, random forest, and …

Dates & lieux pour JMP - JOURNÉES MINIÈRES ET PÉTROLIÈRES DU MALI 2025 - Conférence internationale et salon sur l'industrie minière et pétrolière du Mali

Practical Guide to Machine Learning and Artificial Intelligence in Surgical Education Research. ... JAMA Surg. 2024 Jan 3. doi: 10.1001/jamasurg.2023.6687. Online ahead of print. Authors Daniel A Hashimoto 1 2, Julian Varas 3, Todd A Schwartz 4 5 Affiliations 1 Department of Surgery, University of ...

Machine learning–based tools should also be assessed for the type of machine learning model used and its appropriateness for the input data type and data set size. Machine learning models also generally have additional prespecified settings called hyperparameters, which must be tuned on a data set independent of the validation set.

In this issue of JAMA, Liu and colleagues 1 provide a users' guide to reading clinical machine learning articles. Beyond a synopsis of selected concepts in modern machine learning, the authors elaborate step-by-step guidance for physicians seeking to evaluate this evidence with a critical eye.

JAMA Mining Machines AB Sparrvägen 1 SE-932 33 Skelleftehamn Sweden Phone: +46 (0)910 71 36 50 [email protected] JMS 7000 Jama continues to write …

Normothermic Machine Perfusion Increases Donor Liver Use. ... JAMA Surg. 2022 May 4. doi: 10.1001/jamasurg.2022.1424. Online ahead of print. Authors James F Markmann 1, Parsia A Vagefi 2, Malcolm P MacConmara 3 Affiliations 1 Massachusetts General Hospital, Boston. 2 University of ...

Importance Among critically ill adults, randomized trials have not found oxygenation targets to affect outcomes overall. Whether the effects of oxygenation targets differ based on an individual's characteristics is unknown. Objective To determine whether an individual's characteristics modify the effect of lower vs higher peripheral oxygenation-saturation (Sp …