The ‘top 10’ urological procedures: a study of hospital episodes statistics 1998–99

Lee, F.; Patel, Hitesh; Emberton, Mark

doi:10.1046/j.1464-410x.2002.02833.x

Cited by 37 publications

(21 citation statements)

References 7 publications

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“…HES, on the other hand, contains data on hospitalisations, outpatient visits, accident and emergency for all admissions to National Health Service (NHS) hospitals in England [23]. Approximately 75% of the CPRD GP practices in England (58% of all UK CPRD GP practices) participate in patient-level record linkage with HES, which is performed by the Health and Social Care Information Centre [24].…”

Section: Datamentioning

confidence: 99%

BEHRT: Transformer for Electronic Health Records

Rao

Solares

et al. 2020

Sci Rep

294

283

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Today, despite decades of developments in medicine and the growing interest in precision healthcare, vast majority of diagnoses happen once patients begin to show noticeable signs of illness. Early indication and detection of diseases, however, can provide patients and carers with the chance of early intervention, better disease management, and efficient allocation of healthcare resources. The latest developments in machine learning (more specifically, deep learning) provides a great opportunity to address this unmet need. In this study, we introduce BEHRT: A deep neural sequence transduction model for EHR (electronic health records), capable of multitask prediction and disease trajectory mapping. When trained and evaluated on the data from nearly 1.6 million individuals, BEHRT shows a striking absolute improvement of 8.0-10.8%, in terms of Average Precision Score, compared to the existing state-of-the-art deep EHR models (in terms of average precision, when predicting for the onset of 301 conditions). In addition to its superior prediction power, BEHRT provides a personalised view of disease trajectories through its attention mechanism; its flexible architecture enables it to incorporate multiple heterogeneous concepts (e.g., diagnosis, medication, measurements, and more) to improve the accuracy of its predictions; and its (pre-)training results in disease and patient representations that can help us get a step closer to interpretable predictions.

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Section: Datamentioning

confidence: 99%

BEHRT: Transformer for Electronic Health Records

Rao

Solares

et al. 2020

Sci Rep

294

283

View full text Add to dashboard Cite

show abstract

“…It relied on accurate coding of hospital episode data. Although the accuracy of such data has been criticized, there has been substantial improvement of discharge coding accuracy in recent years, with one study reporting the accuracy of primary diagnosis, by comparison with registries, as 96 per cent since 2002 owing to the introduction of payment by results in England. The Office for National Statistics was not searched to confirm these mortality data; however, recently it has been reported that the accuracy is in the order of 99·8 per cent.…”

Section: Discussionmentioning

confidence: 99%

Effect of procedure volume on outcomes after iliac artery angioplasty and stenting

Goode

Keltie

Burn

et al. 2013

British Journal of Surgery

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“…[1] Although it is thought of as an "easy" operation, it is increasingly recognized that the tumor is often incompletely resected, contributing to the high recurrence rate. Although it is highly understudied (a PubMed search for complications of radical prostatectomy versus TURBT produces 2964 and 55 results, respectively), TURBT is the mainstay of treatment for nonmuscle-invasive bladder cancer (NMIBC) -the 5 th most common and most costly type of cancer to treat in Western society.…”

Section: Introductionmentioning

confidence: 99%

Approaching the optimal transurethral resection of a bladder tumor

Jurewicz

Soloway

2014

Turkish Journal of Urology

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A complete transurethral resection of a bladder tumor (TURBT) is essential for adequately diagnosing, staging, and treating bladder cancer. A TURBT is deceptively difficult and is a highly underappreciated procedure. An incomplete resection is the major reason for the high incidence of recurrence following initial transurethral resection and thus to the suboptimal care of our patients. Our objective was to review the preoperative, intraoperative, and postoperative considerations for performing an optimal TURBT. The European Association of Urology, Society of International Urology, and The American Urological Association guidelines emphasize a complete resection of all visible tumor during a TURBT. This review will emphasize the various techniques and treatments, including photodynamic cystoscopy, intravesical chemotherapy, and a perioperative checklist, that can be used to help to enable a complete resection and reduce the recurrence rate. A Medline/PubMed search was completed for original and review articles related to transurethral resection and the treatment of non-muscle-invasive bladder cancer. The major findings were analyzed and are presented from large prospective, retrospective, and review studies.

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The ‘top 10’ urological procedures: a study of hospital episodes statistics 1998–99

Abstract: Objective To summarize the urological procedures recorded in Hospital Episodes Statistics (HES, 1998-99)

Cited by 37 publications

References 7 publications

BEHRT: Transformer for Electronic Health Records

BEHRT: Transformer for Electronic Health Records

Effect of procedure volume on outcomes after iliac artery angioplasty and stenting

Approaching the optimal transurethral resection of a bladder tumor

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