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The MEDICAL SYMPTOM CHECKER API for patients. Welcome Developer & E-Health evangelist: You can now enrich your Mobile app or website with symptom checker functionalities. Patients can enter their symptoms and will receive a list of possible diseases based on the integrated differential diagnosis engine. It will direct the patient to more medical information and show him the right doctor category for further clarifications.
From patient's symptoms and results to diagnosis (COVID-19 included) - free to use in 2020. It not only has symptoms, but also allows you to enter a detailed review of systems, physical examination findings and testing (i.e. blood work, chest x-ray) results. It has standard functions like “next best step” in diagnosis, etc…We are looking for beta testers, for whom, we prepared Goodies, like lifetime free access to the key of API functionalities.
API para obtener datos acerca de contagios de coronavirus (COVID-19) en Chile. Utiliza los datos oficiales del Gobierno de Chile y el Ministerio de Salud.
The DrugPatentWatch platform contains deep analytics on pharmaceutical drugs, the patents protecting them in 130+ countries, clinical trials, patent applications, API vendors, and more. Use cases for the DrugPatentWatch database include: - Branded pharmaceutical firms seeking competitive intelligence - Generic and API manufacturers seeking knowledge of which drugs to develop - Wholesalers seeking advance notice of patent expiry to avoid over-stocking off-patent drugs - Healthcare payers seeking to project and manage future budgets We invite opportunities to work with complementary partners to build greater-than-additive benefits for your clients.
This api gives answers to medical queries in natural language. Top 10 answers are returned.
Find great deals on marijuana and cannabis, medical cannabis deals & marijuana discounts near you.
Detects explicit content such as adult content or violent content within an image. This feature uses five categories (adult, spoof, medical, violence, and racy) and returns the likelihood that each is present in a given image.
The ultimate bodyfat percante app using well known skinfold methods by Lohman, Jackson & Pollok and by the National Health Center of America. The best way to measure the skinfolds is by using a caliper and if someone would assist you while you do your measurements. Three Skinfold Measurement: Shoulder Skinfold: Right under the shoulderblade Trizeps Skinfold: Between the Shoulder and the Elbow on the Trizeps Belly Skinfold: Approximatelly 2 centimeters beside the belly button vertically measured T.G. Lohman: Skinfolds and body density and their relation to body fatness: a review. In: Human Biologie. Mai 1981, S. 181–255 Four Skinfold Measurement: Shoulder Skinfold: Right under the shoulderblade Chest Skinfold: Between the armpit and the nipple along the chest muscle Armpit Skinfold: Right under the armpit vertically Belly Skinfold: Approximatelly 2 centimeters beside the belly button vertically measured National Health Center of America (NHCA) Seven Skinfold Method: Shoulder Skinfold: Right under the shoulderblade Chest Skinfold: Between the armpit and the nipple along the chest muscle Armpit Skinfold: Right under the armpit vertically Belly Skinfold: Approximatelly 2 centimeters beside the belly button vertically measured Trizeps Skinfold: Between the Shoulder and the Elbow on the Trizeps Waist Skinfold: In the middle between the last riba and the hip bode in a 30 degrees angle Tigh Skinfold: 10 centimeters above the knee cap vertically measured Jackson, Pollock: Generalized equations for predicting body density of men. In: British Journal of Nutrition. Nr. 40, Oktober 1978, S. 497–504 Jackson, Pollock, Ward: Generalized equations for predicting body density of women. In: Medicin and Science in Sports and Exercise. Nr. 12(3), 1980, S. 175–182
NOTE: You need an API-Key to use this API. See README for more details. The Cancer Imaging Archive (TCIA) is a public repository of cancer images and related clinical data for the express purpose of enabling open science research. Currently over 26 million radiologic images of cancer are contained in this repository. The API allows you to query metadata and download images from the various public collections available on TCIA