• Mashup Score: 4

    PURPOSE Patients and providers often lack clinical decision tools to enable effective shared decision making. This is especially true in the rapidly changing therapeutic landscape of metastatic kidney cancer. Using the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) criteria, a validated risk prediction tool for patients with metastatic renal cell carcinoma, we created…

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    • "Interactive Data Visualization Tool for #Patient-Centered Decision Making in Kidney Cancer" presents a novel interactive data visualization tool for kidney cancer! https://t.co/UGVT0FaEIT @UCSFUrology @kshee11 @anobelodisho @montypal @DrChoueiri #JCOCCI https://t.co/L9ycUuHMTV

  • Mashup Score: 0

    PURPOSE Severe and febrile neutropenia present serious hazards to patients with cancer undergoing chemotherapy. We seek to develop a machine learning–based neutropenia prediction model that can be used to assess risk at the initiation of a chemotherapy cycle. MATERIALS AND METHODS We leverage rich electronic medical records (EMRs) data from a large health care system and apply machine learning…

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    • Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach [Aug 31, 2021] @holly_wiberg @YupOnc et al. #JCOCCI @ASCO_pubs https://t.co/zhOlJGLOfK #SuppOnc #IDonc

  • Mashup Score: 1

    Twitter use has increased among patients with cancer, advocates, and oncology professionals. Hashtags, a form of metadata, can be used to share content, organize health information, and create virtual communities of interest. Cancer-specific hashtags modeled on a breast cancer community, #bcsm, led to the development of a structured set of hashtags called the cancer tag ontology. In this article,…

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    • Organizing Online Health Content: Developing Hashtag Collections [2019] - @subatomicdoc @pfanderson @mtmdphd @TheLizArmy @JFreemanDaily @audvin @drdonsdizon @CBlotner_ @DavidCookeMD @womenofteal @stales @fischmd @colleen_young @DrAttai #JCOCCI @ASCO_pubs https://t.co/776r7qmxcY https://t.co/rqVkoSctbO

  • Mashup Score: 0

    PURPOSE Severe and febrile neutropenia present serious hazards to patients with cancer undergoing chemotherapy. We seek to develop a machine learning–based neutropenia prediction model that can be used to assess risk at the initiation of a chemotherapy cycle. MATERIALS AND METHODS We leverage rich electronic medical records (EMRs) data from a large health care system and apply machine learning…

    Tweet Tweets with this article
    • Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach [Aug 31, 2021] @holly_wiberg @YupOnc et al. #JCOCCI @ASCO_pubs https://t.co/zhOlJGLOfK #SuppOnc #IDonc https://t.co/0jbiWNoa3I

  • Mashup Score: 3

    Twitter use has increased among patients with cancer, advocates, and oncology professionals. Hashtags, a form of metadata, can be used to share content, organize health information, and create virtual communities of interest. Cancer-specific hashtags modeled on a breast cancer community, #bcsm, led to the development of a structured set of hashtags called the cancer tag ontology. In this article,…

    Tweet Tweets with this article
    • Organizing Online Health Content: Developing Hashtag Collections... [6/28/19] - @subatomicdoc @pfanderson @mtmdphd @TheLizArmy @JFreemanDaily @audvin @drdonsdizon @CBlotner_ @DavidCookeMD @womenofteal @stales @fischmd @colleen_young @DrAttai #JCOCCI https://t.co/776r7qmxcY https://t.co/QFislpAAi5

  • Mashup Score: 3

    PURPOSE Adherence to tamoxifen citrate among women diagnosed with metastatic breast cancer can improve survival and minimize recurrence. This study aimed to use real-world data and machine learning (ML) methods to classify tamoxifen nonadherence. METHODS A cohort of women diagnosed with metastatic breast cancer from 2012 to 2017 were identified from IBM MarketScan Commercial Claims and Encounters…

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    • Thank you @FJCarmonas for the shout-out! And thanks to @dapattmd & #JCOCCI editors for the opportunity to work on this editorial on machine learning and real-world data! Also check out the original study: https://t.co/vsPuoLiDcE @ASCO_pubs @BrighamMedRes https://t.co/khwRTsZfEx

  • Mashup Score: 5

    PURPOSE Infusion drugs are regarded as one of the high-cost health care expenditures. One approach to decrease drug expenditures is by dose-rounding biologics and cytotoxic agents. The Hematology/Oncology Pharmacy Association recommends that biologic and cytotoxic agents are rounded to the nearest vial size if they are within 10% of the ordered dose. The purpose of this initiative is to determine…

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    • 💰Financial impact of an 💻⌨️ automated #doserounding initiative" showed algorithm ⬇️💉💊💵w/ savings of appx. $3.6M by dose rounding 49.6% doses administered demonstrating dose rounding may decrease healthcare costs https://t.co/1Q4b9qZvs8 @shannonmhough @umichmedicine #JCOCCI https://t.co/zPDQ5IqlAX