This paper presents diagnostic criteria for Menière's disease jointly formulated by the Classification Committee of the Bárány Society, The Japan Society for Equilibrium Research, the European Academy of Otology and Neurotology (EAONO), the Equilibrium Committee of the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) and the Korean Balance Society. The classification includes two categories: definite Menière's disease and probable Menière's disease. The diagnosis of definite Menière's disease is based on clinical criteria and requires the observation of an episodic vertigo syndrome associated with low- to medium-frequency sensorineural hearing loss and fluctuating aural symptoms (hearing, tinnitus and/or fullness) in the affected ear. Duration of vertigo episodes is limited to a period between 20 minutes and 12 hours. Probable Menière's disease is a broader concept defined by episodic vestibular symptoms (vertigo or dizziness) associated with fluctuating aural symptoms occurring in a period from 20 minutes to 24 hours.

Diagnostic Criteria for Meniere's Disease

Tonsillectomy and adenoidectomy.

Patient behavioral analysis is a critical component in treating patients with a variety of issues, with head trauma, neurological disease, and mental illness. The analysis of the patient's behavior aids in establishing the disease's core cause. Patient behavioral analysis has a number of contests that are much more problematic in traditional healthcare. With the advancement of smart healthcare, patient behavior may be simply analyzed. A new generation of information technologies, particularly the Internet of Things (IoT), is being utilized to transform the traditional healthcare system in a variety of ways. The Internet of Things (IoT) in healthcare is a crucial role in offering improved medical facilities to people as well as assisting doctors and hospitals. The proposed system comprises of a variety of medical equipment, such as mobile-based apps and sensors, which is useful in collecting and monitoring the medical information and health data of patient and interact to the doctor via network connected devices. This research may provide key information on the impact of smart healthcare and the Internet of Things in patient beavior and treatment. Patient data are exchanged via the Internet, where it is viewed and analyzed using machine learning algorithms. The deep belief neural network evaluates the patient's particulars from health data in order to determine the patient's exact health state. The developed system proved the average error rate of about 0.04 and ensured accuracy about 99% in analyzing the patient behavior.

/pdf/analyzing-the-patient-behavior-for-improving-the-medical-2t34tp9l.pdf

Analyzing the Patient Behavior for Improving the Medical Treatment Using Smart Healthcare and IoT-Based Deep Belief Network

Handbook of Ototoxicity.

Modern healthcare is a data-intensive domain representing an amalgamation of long-term electronic medical records, real-time patient monitoring data, and more recently sensor data from wearable computing. Blockchain in healthcare can address a multitude of challenges in healthcare, including care coordination, data security, and interoperability concerns, as technology advances. Technical challenges such as processing speed and massive data duplication will be resolved as improved technology. This data needs to be accessed seamlessly by a multitude of players from the general physicians to hospitals, medical service providers to insurance companies. Thus, healthcare-related data needs to be verified, securely stored, and shared while maintaining patient privacy and control over what portion of the data is shared, with whom it is shared, and how it is consumed. Blockchain has emerged as a technology stack of choice for distributed authentication, secure storage, and automated analysis of stored data in diverse domains including healthcare. Its distributed nature is a natural fit to the healthcare ecosystem with multiple participating entities and patients in different geographic locations. In this paper, we review the technology of blockchain to the healthcare domain analyzing and classifying work done in the field. Open challenges are identified and future directions for research are also presented.

Blockchain in Secure Healthcare Systems: State of the Art, Limitations, and Future Directions

Patient behavioral analysis is the key factor for providing treatment to patients who may suffer from various difficulties including neurological disease, head trauma, and mental disease. Analyzing the patient’s behavior helps in determining the root cause of the disease. In traditional healthcare, patient behavioral analysis has lots of challenges that were much more difficult. The patient behavior can be easily analyzed with the development of smart healthcare. Information technology plays a key role in understanding the concept of smart healthcare. A new generation of information technologies including IoT and cloud computing is used for changing the traditional healthcare system in all ways. Using Internet of Things in the healthcare institution enhances the effectiveness as well as makes it more personalized and convenient to the patients. The first thing that will be discussed in the article is the technologies that have been used to support the smart class, and further, there will be a discussion on the existing problems with the smart healthcare system and how these problems can be solved. This study can provide essential information about the role of smart healthcare and IoT in maintaining behavior of patent. Various biomarkers are maintained properly with the help of these technologies. This study can provide effective information about importance of smart health system. This smart healthcare is conducted with the involvement of proper architecture. This is treated as effective energy efficiency architecture. Artificial intelligence is used increasingly in healthcare to maintain diagnosis and other important factors of healthcare. This application is also used to maintain patient engagement, which is also included in this study. Major hardware components are also included in this technology such as CO sensor and CO2 sensor.

/pdf/patient-behavioral-analysis-with-smart-healthcare-and-iot-1bf4sm57dg.pdf

Patient Behavioral Analysis with Smart Healthcare and IoT

Background: Rhinitis is characterized by inflammatory events that lead to chronic nasal symptoms of sneezing, rhinorrhoea and nasal obstruction. These symptoms may change the quality of life and have a great effect on the mood of the patients. Objective: The aim of the study is to evaluate the effectiveness of application of 50 percent trichloroacetic acid on the trigger areas of the nose to control the symptoms of sneezing and rhinorrhoea. Methods: 160 patients with non infective rhinitis were prospectively evaluated for 2 years after twice application of 50 percent of trichloroacetic acid on the trigger areas of the nose regarding control and recurrence of symptoms. Results: significant control was obtained by this method of treatment, success rates ranged from 83.3% to 89.5%, while Failure rates ranged from 10.4 to 16.6 (P<0.001). Conclusion: This method was found to be simple, effective and practically applicable.

Evaluation of Treatment of Sneezing and Rhinorrhoea by Local Application of Trichloroacetic Acid in Patients with non Infective Rhinitis

Background Tympanic membrane perforation is a common problem and causes hearing disability, and many factors can affect the degree of hearing loss. Objective The aim of this study was to assess the degree of hearing loss in relation with the size and site of tympanic membrane perforation. Patients and methods This prospective study was conducted at Al-Yarmouk Teaching Hospital during the period from February 2015 to February 2016 on 75 patients (93 ears) with tympanic membrane perforations. The size and site of perforations were evaluated under the microscope and classified according to the size (small, moderate, and large), and the site (anteroinferior, anterosuperior, posteroinferior, and posterosuperior quadrants). Hearing loss was measured in each case with pure-tone audiometry and its relation with these parameters was analyzed. Results There was an increase in hearing loss with the increase in the size of perforation. Perforation locations had an impact on hearing loss; this was statistically significant, especially in the posteroinferior quadrant if compared with other quadrants, as P value was 0.037. Conclusion The size and site of tympanic membrane perforation had a significant effect on the magnitude of hearing loss.

Assessment of hearing loss in tympanic membrane perforation

Background: Tonsillectomy remains the most common surgical procedure in field of otolaryngology, and it has a wide range of techniques, indications and complications. Aim of the study: To determine the indications of adult tonsillectomy and the postoperative complications in relation to each indication. Patients and methods: A prospective study of 180 adult patients aged 18-70 years underwent tonsillectomy kept under close observation for analysis. Results: In the study, the most common indication of surgery was acute recurrent tonsillitis (74%), upper airway obstruction (11.1%), suspected neoplasm (8.8) and post-quinsy (5.5%) respectively. The incidence of complications varies according to the indication, patients underwent tonsillectomy for acute recurrent tonsillitis had increased incidence of postoperative bleeding and uvular edema, while patients underwent tonsillectomy for upper airway obstruction had increased incidence of prolonged hospitalization and dyspnea.

Indication of Adult Tonsillectomy & Postoperative Complication According to Indications

Hearing loss is the most common sensory disability in the world, hearing loss should be early diagnosed and treated since; it leads to speech and language disorders. Auditory brainstem response (ABR) or Auditory evoked potential (AEP) is a neurologic test done by an audiologist to measure auditory evoke potential. Different types of sedation levels are used during auditory brainstem response test. Therefore, the aim of present study was evaluation of the sedative effect of chloral hydrate during auditory brainstem response (ABR) on children with hearing problems. Randomized selection of 160 children with age ranged between 1-5 years with hearing disorders, they were divided into: Group A: Received 20 mg/Kg chloral hydrate orally. Group B: Received 20 mg/Kg chloral hydrate orally plus 0.5 mg/Kg diazepam rectally. Group C: Received 40 mg/Kg chloral hydrate orally. Group D: Received 40 mg/Kg chloral hydrate orally plus 0.5 mg/Kg diazepam rectally. Regarding ABR testing results, positive ABR test was superior in combined group compared to other groups p=0.005 whereas; negative ABR test was low in combined group compared to other groups p=0.006. At the end of ABR testing 118.52±9.88 of testing children in combined group completed the test compared to other groups p=0.0139 while; 98.21±7.22 of testing children in combined group not completed ABR test compared to other groups p=0.005.In conclusion, combined chloral hydrate plus diazepam give more significant sedative effect than chloral hydrate alone during ABR testing in children with hearing disorders.

http://article.sciencepublishinggroup.com/pdf/10.11648.j.ijpbs.20160102.13.pdf

Clinical Significant Effect of Chloral Hydrate: Diazepam Combination in the Induction of Sedation During Auditory Brainstem Response in Children with Hearing Loss

Haider W Alsarhan

Papers

Patient Behavioral Analysis with Smart Healthcare and IoT

Evaluation of Treatment of Sneezing and Rhinorrhoea by Local Application of Trichloroacetic Acid in Patients with non Infective Rhinitis

Assessment of hearing loss in tympanic membrane perforation

Indication of Adult Tonsillectomy & Postoperative Complication According to Indications

Clinical Significant Effect of Chloral Hydrate: Diazepam Combination in the Induction of Sedation During Auditory Brainstem Response in Children with Hearing Loss